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{"sheet":"Tool","index":0,"n_rows":105,"n_cols":12,"rows_kept":105,"cut":false,"hidden":true,"merged":[[1,3,2,11],[23,3,23,5]]}
[]
[null,null,null,"Park & Ride Right-Sizing Tool"]
[]
[]
[null,null,null,"Park and Ride Facility"]
[null,null,null,"Crescent View Station"]
[]
[]
[null,null,null,"Parking Supply",null,"Land Use Context",null,"Low Income %",null,"Walk Score"]
[null,null,null,null,null,null,null,null,null,null,null,"Typologies"]
[null,null,null,null,null,null,null,null,null,null,null,"1 Suburban: Mid-corridor"]
[null,null,null,"Parking Utilization",null,"Population Density",null,"No Vehicle Ownership %",null,"Bike Score",null,"2 Suburban: Transfer Location"]
[null,null,null,null,null,null,null,null,null,null,null,"3 Suburban: Terminus"]
[null,null,null,null,null,null,null,null,null,null,null,"4 Emerging Urban"]
[null,null,null,"Current Boardings",null,"Job Density (Jobs/sq mi)",null,"Transit Dependency Index",null,"Transit Access Score",null,"5 TOD"]
[null,null,null,null,null,null,null,null,null,null,null,"6 Urban"]
[null,null,null,null,null,null,null,null,null,null,null,"Assigned Typology"]
[null,null,null,"Boardings Per Parked Car"]
[null,null,null,{"$f":" _xlfn.IFS(L18 = \"1 Suburban: Mid-corridor\",SUMIF('Existing Only'!W:W,\"1 Suburban: Mid-corridor\",'Existing Only'!I:I)/COUNTIF('Existing Only'!W:W,\"1 Suburban: Mid-corridor\"),L18 = \"2 Suburban: Transfer Location\",SUMIF('Existing Only'!W:W,\"2 Suburban: Transfer Location\",'Existing Only'!I:I)/COUNTIF('Existing Only'!W:W,\"2 Suburban: Transfer Location\"),L18 = \"3 Suburban: Terminus\",SUMIF('Existing Only'!W:W,\"3 Suburban: Terminus\",'Existing Only'!I:I)/COUNTIF('Existing Only'!W:W,\"3 Suburban: Terminus\"),L18 = \"4 Emerging Urban\",SUMIF('Existing Only'!W:W,\"4 Emerging Urban\",'Existing Only'!I:I)/COUNTIF('Existing Only'!W:W,\"4 Emerging Urban\"),L18 = \"5 TOD\",SUMIF('Existing Only'!W:W,\"5 TOD\",'Existing Only'!I:I)/COUNTIF('Existing Only'!W:W,\"5 TOD\"),L18 = \"6 Urban\",SUMIF('Existing Only'!W:W,\"6 Urban\",'Existing Only'!I:I)/COUNTIF('Existing Only'!W:W,\"6 Urban\"))","v":{"$error":"#N/A"}}]
[]
[]
[null,null,null,"Choose Target Parking Supply Range"]
[]
[null,null,null,"Target Ratio (boardings per parking space)",null,null,null,"Comparison of Current Supply to Target Supply"]
[]
[null,null,null,"High Parking Demand (or low boarding per parking)",null,"High Target Parking Supply",null,"Above or Below Target"]
[null,null,null,{"$f":"ROUND(_xlfn.PERCENTILE.INC(D38:D137,0.165),0)","v":0},null,{"$f":"ROUND(D16/D27,0)*1.1","v":{"$error":"#DIV/0!"}},null,{"$f":"ROUND(D10-F27,0)&\" \"&IF((D10-F27)>0,\"Spaces Above Target\",\"Spaces Below Target\")","v":{"$error":"#DIV/0!"}}]
[]
[null,null,null,"Medium Parking Demand (or medium boardings per parking)",null,"Medium Target Parking Supply",null,"Above or Below Target"]
[null,null,null,{"$f":"ROUND(_xlfn.PERCENTILE.INC(D38:D137,0.75),1)","v":3.1},null,{"$f":"ROUND(D16/D30,0)*1.1","v":0},null,{"$f":"ROUND(D10-F30,0)&\" \"&IF((D10-F30)>0,\"Spaces Above Target\",\"Spaces Below Target\")","v":"0 Spaces Below Target"}]
[]
[null,null,null,"Low Parking Demand (or high boardings per parking)",null,"Low Target Parking Supply",null,"Above or Below Target"]
[null,null,null,{"$f":"ROUND(_xlfn.PERCENTILE.INC(D38:D137,0.85),1)","v":5.3},null,{"$f":"ROUND(D16/D33,1.1)","v":0},null,{"$f":"ROUND(D10-F33,0)&\" \"&IF((D10-F33)>0,\"Spaces Above Target\",\"Spaces Below Target\")","v":"0 Spaces Below Target"}]
[]
[]
[]
[null,null,null,"Background typology searching for boardings per parked car, automatically updated"]
[null,null,null,{"$f":"_xlfn._xlws.FILTER(GIS_Exports[Boardings/parked car],IF(L18=\"\",1,GIS_Exports[Reassigned Typologies]=L18))","v":1.7125379999999999},"If more than 100 rows are needed adjust formulas in choosing parking supply range cells accordingly"]
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[]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,"Typologies"]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,"1 Suburban: Mid-corridor"]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,"2 Suburban: Transfer Location"]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,"3 Suburban: Terminus"]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,"4 Emerging Urban"]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,"5 TOD"]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,"6 Urban"]

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[]
[null,"Park & Ride Right-Sizing Tool"]
[]
[]
[null,null,"Tool to Right-Size Existing Park & Ride Facilities"]
[]
[null,null,"Select Park and Ride Facility:*"]
[null,null,"Kimballs Lane Station"]
[]
[null,null,"Parking Supply",null,"Land Use Context",null,"Low Income %",null,"Walk Score"]
[null,null,{"$f":"INDEX('Existing Only'!G:G,MATCH('Existing P&R Tool'!C8,'Existing Only'!A:A,0),1)","v":315},null,{"$f":"INDEX('Existing Only'!F:F,MATCH('Existing P&R Tool'!C8,'Existing Only'!A:A,0),1)","v":"Mid density houses"},null,{"$f":"INDEX('Existing Only'!M:M,MATCH('Existing P&R Tool'!C8,'Existing Only'!A:A,0),1)","v":2.0532000000000002E-2},null,{"$f":"INDEX('Existing Only'!S:S,MATCH('Existing P&R Tool'!C8,'Existing Only'!A:A,0),1)","v":76.013878000000005}]
[]
[null,null,"Parking Utilization",null,"Population Density",null,"No Vehicle Ownership %",null,"Bike Score"]
[null,null,{"$f":"INDEX('Existing Only'!D:D,MATCH('Existing P&R Tool'!C8,'Existing Only'!A:A,0),1)","v":0.32},null,{"$f":"INDEX('Existing Only'!J:J,MATCH('Existing P&R Tool'!C8,'Existing Only'!A:A,0),1)","v":3805.7040998217471},null,{"$f":"INDEX('Existing Only'!P:P,MATCH('Existing P&R Tool'!C8,'Existing Only'!A:A,0),1)","v":1.0175E-2},null,{"$f":"INDEX('Existing Only'!T:T,MATCH('Existing P&R Tool'!C8,'Existing Only'!A:A,0),1)","v":83.637459000000007}]
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[null,null,"Current Boardings",null,"Job Density (Jobs/sq mi)",null,"Transit Dependency Index",null,"Transit Access Score"]
[null,null,{"$f":"INDEX('Existing Only'!H:H,MATCH('Existing P&R Tool'!C8,'Existing Only'!A:A,0),1)","v":125},null,{"$f":"INDEX('Existing Only'!K:K,MATCH('Existing P&R Tool'!C8,'Existing Only'!A:A,0),1)","v":2964.107},null,{"$f":"INDEX('Existing Only'!R:R,MATCH('Existing P&R Tool'!C8,'Existing Only'!A:A,0),1)","v":0},null,{"$f":"INDEX('Existing Only'!U:U,MATCH('Existing P&R Tool'!C8,'Existing Only'!A:A,0),1)","v":7.6923079999999997}]
[]
[null,null,"Boardings Per Parked Car",null,"Assigned Typology"]
[null,null,{"$f":"INDEX('Existing Only'!I:I,MATCH('Existing P&R Tool'!C8,'Existing Only'!A:A,0),1)","v":1.2400789999999999},null,{"$f":"INDEX('Existing Only'!Z:Z,MATCH('Existing P&R Tool'!C8,'Existing Only'!A:A,0),1)","v":"1 Suburban: Mid-corridor"}]
[]
[]
[]
[null,null,"Target Ratio (boardings per parking space)",null,null,null,"Comparison of Current Supply to Target Supply"]
[]
[null,null,"High Parking Demand (or low boarding per parking)",null,"High Target Parking Supply",null,"Above or Below Target"]
[null,null,{"$f":"ROUND(_xlfn.PERCENTILE.INC(C38:C137,0.165),0)","v":1},null,{"$f":"ROUND(C17/C27,0)*1.1","v":137.5},null,{"$f":"ROUND(C11-E27,0)&\" \"&IF((C11-E27)>0,\"Spaces Above Target\",\"Spaces Below Target\")","v":"178 Spaces Above Target"}]
[]
[null,null,"Medium Parking Demand (or medium boardings per parking)",null,"Medium Target Parking Supply",null,"Above or Below Target"]
[null,null,{"$f":"ROUND(_xlfn.PERCENTILE.INC(C38:C137,0.75),1)","v":2.4},null,{"$f":"ROUND(C17/C30,0)*1.1","v":57.2},null,{"$f":"ROUND(C11-E30,0)&\" \"&IF((C11-E30)>0,\"Spaces Above Target\",\"Spaces Below Target\")","v":"258 Spaces Above Target"}]
[]
[null,null,"Low Parking Demand (or high boardings per parking)",null,"Low Target Parking Supply",null,"Above or Below Target"]
[null,null,{"$f":"ROUND(_xlfn.PERCENTILE.INC(C38:C137,0.85),1)","v":2.8},null,{"$f":"ROUND(C17/C33,0)*1.1","v":49.500000000000007},null,{"$f":"ROUND(C11-E33,0)&\" \"&IF((C11-E33)>0,\"Spaces Above Target\",\"Spaces Below Target\")","v":"266 Spaces Above Target"}]
[]
[]
[]
[null,null,"Background typology searching for boardings per parked car, automatically updated"]
[null,null,{"$f":"_xlfn._xlws.FILTER(GIS_Exports[Boardings/parked car],IF(E20=\"\",1,GIS_Exports[Reassigned Typologies]=E20))","v":1.7125379999999999},"If more than 100 rows are needed adjust formulas in choosing parking supply range cells accordingly"]
[null,null,1.995638]
[null,null,1.104859,null,"Typologies"]
[null,null,1.4237899999999999,null,"1 Suburban: Mid-corridor"]
[null,null,2.2907959999999998,null,"2 Suburban: Transfer Location"]
[null,null,1.4053610000000001,null,"3 Suburban: Terminus"]
[null,null,1.9444440000000001,null,"4 Emerging Urban"]
[null,null,1.2692870000000001,null,"5 TOD"]
[null,null,2.700148,null,"6 Urban"]
[null,null,3.0536129999999999]
[null,null,3.3463069999999999]
[null,null,1.2400789999999999]
[null,null,1.721962]
[null,null,2.9021870000000001]
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{"sheet":"P&R Planning Tool","index":3,"n_rows":56,"n_cols":9,"rows_kept":56,"cut":false,"hidden":false,"merged":[[1,0,2,8],[24,2,24,4],[4,2,5,9]]}
[]
["Park & Ride Right-Sizing Tool"]
[]
[]
[null,null,"Park and Ride Planner Tool for New Facilities"]
[]
[null,null,"Note: Please input information in cell marked with astrix (*). "]
[null,null,"1. Prosposed Park and Ride*",null,"3. Assigned Typology*"]
[null,null,"ABC location",null,"1 Suburban: Mid-corridor"]
[]
[null,null,"1.1 Parking Supply*",null,"4. Land Use Context (Add brief description)",null,"7. Low Income % *",null,"10. Walk Score *"]
[null,null,400,null,"Majority single/MF units with some retail",null,"Medium",null,"Medium - 30 - 80"]
[]
[null,null,"2. Projected Boardings*",null,"5. Population Density *",null,"8. No Vehicle Ownership *",null,"11. Bike Score *"]
[null,null,600,null,"Medium - 2,500 – 5,000/sq mi",null,"Medium - 11% - 30%",null,"High - Above 80"]
[]
[null,null,null,null,"6. Job Density (Jobs/sq mi) *",null,"9. Transit Dependency Index *",null,"12. Transit Access Score *"]
[null,null,null,null,"Medium - 50 - 250 / sq mile",null,"Medium - 10 - 30%",null,"Medium - 20 - 40"]
[]
[]
[]
[]
[]
[]
[null,null,"Target Ratio (boardings per parking space)",null,null,null,"Comparison of Current Supply to Target Supply"]
[]
[null,null,"High Parking Demand (or low boarding per parking)",null,"High Target Parking Supply",null,"Above or Below Target"]
[null,null,{"$f":"ROUND(_xlfn.PERCENTILE.INC(C39:C136,0.165),0)","v":1},null,{"$f":"ROUND(C15/C28,0)*1.1","v":660},null,{"$f":"IF(C12=FALSE,\"N/A\",ROUND(C12-E28,0)&\" \"&IF((C12-E28)>0,\"Spaces Above Target\",\"Spaces Below Target\"))","v":"-260 Spaces Below Target"}]
[]
[null,null,"Medium Parking Demand (or medium boardings per parking)",null,"Medium Target Parking Supply",null,"Above or Below Target"]
[null,null,{"$f":"ROUND(_xlfn.PERCENTILE.INC(C39:C136,0.75),1)","v":2.4},null,{"$f":"ROUND(C15/C31,0)*1.1","v":275},null,{"$f":"IF(C12=FALSE,\"N/A\",ROUND(C12-E31,0)&\" \"&IF((C12-E31)>0,\"Spaces Above Target\",\"Spaces Below Target\"))","v":"125 Spaces Above Target"}]
[]
[null,null,"Low Parking Demand (or high boardings per parking)",null,"Low Target Parking Supply",null,"Above or Below Target"]
[null,null,{"$f":"ROUND(_xlfn.PERCENTILE.INC(C39:C136,0.85),1)","v":2.8},null,{"$f":"ROUND(C15/C34,0)*1.1","v":235.4},null,{"$f":"IF(C12=FALSE,\"N/A\",ROUND(C12-E34,0)&\" \"&IF((C12-E34)>0,\"Spaces Above Target\",\"Spaces Below Target\"))","v":"165 Spaces Above Target"}]
[]
[]
[]
[null,null,"Background typology searching for boardings per parked car, automatically updated"]
[null,null,{"$f":"_xlfn._xlws.FILTER(GIS_Exports[Boardings/parked car],IF(E9=\"\",1,GIS_Exports[Reassigned Typologies]=E9))","v":1.7125379999999999},"If more than 100 rows are needed adjust formulas in choosing parking supply range cells accordingly"]
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[null,"Station Name","Population (1/2 mile radius)","Pop density (pop/sq mile)","Parking Utilization","Land use transit friendlyness notes","Land use context notes","Current Parking Spaces","Current Boardings","Boardings/parked car","Pop Density","Employment Density (sq mile)","Job Density","Percent Poverty","Low Income Percentage","EFA","No vehicle households percentage","Vehicle Ownership","TDI","Walk Score","Bike Score","Transit Access Score","PandR","Option Buttom Existing","Initally Assigned Typology","Column3","Reassigned Typologies","Typology notes"]
[1,"2700 West Station",3635,{"$f":"C2/0.7854","v":4628.2149223325696},0.6,"very low","Suburban single family houses",218,224,1.7125379999999999,{"$f":"GIS_Exports[[#This Row],[Pop density (pop/sq mile)]]","v":4628.2149223325696},1533.4549999999999,1533.4549999999999,2.2492000000000002E-2,"low","no",1.9363999999999999E-2,"medium",10,49.728228999999999,94.754121999999995,15.384615,"y",2,"1 Suburban: Mid-corridor",null,"1 Suburban: Mid-corridor"]
[null,"3500 E + Wasatch Blvd",2478,3155.0802139037432,null,null,null,168,null,null,{"$f":"GIS_Exports[[#This Row],[Pop density (pop/sq mile)]]","v":3155.0802139037432},655.23940000000005,655.23940000000005,2.1829999999999999E-2,null,null,2.8639999999999998E-3,null,null,null,null,null,null,null,null,504.11760199999998]
[2,"4800 West Station",3452,4395.2126305067486,0.7,"very low","Suburban single family houses",262,366,1.995638,{"$f":"GIS_Exports[[#This Row],[Pop density (pop/sq mile)]]","v":4395.2126305067486},379.65300000000002,379.65300000000002,8.0730000000000003E-3,"low","no",1.9139999999999999E-3,"high",0,90.005262000000002,77.898857000000007,15.384615,"y",null,"1 Suburban: Mid-corridor",null,"1 Suburban: Mid-corridor"]
[3,"5600 West Station",1694,2156.8627450980393,0.23,"low","Low density industrial area",425,108,1.104859,{"$f":"GIS_Exports[[#This Row],[Pop density (pop/sq mile)]]","v":2156.8627450980393},1070.8430000000001,1070.8430000000001,6.483E-3,"low","no",1.3198E-2,"high",10,0,31.518422999999999,7.6923079999999997,"y",null,"1 Suburban: Mid-corridor",null,"1 Suburban: Mid-corridor"]
[null,"6200 S Wasatch Blvd",877,1116.6284695696461,null,null,null,419,null,null,{"$f":"GIS_Exports[[#This Row],[Pop density (pop/sq mile)]]","v":1116.6284695696461},7944.4530000000004,7944.4530000000004,7.3899999999999997E-4,null,null,0,null,null,null,null,null,null,null,null,6220.764975]
[null,"6600 S Union Park Ave",3808,4848.484848484849,null,null,null,199,null,null,{"$f":"GIS_Exports[[#This Row],[Pop density (pop/sq mile)]]","v":4848.484848484849},5380.6769999999997,5380.6769999999997,4.7584000000000001E-2,null,null,2.7647999999999999E-2,null,null,null,null,null,null,null,null,4184.458877]
[4,"American Fork Station",860,1094.9834479246244,0.74,"low","Mid density houses, open land",541,570,1.4237899999999999,{"$f":"GIS_Exports[[#This Row],[Pop density (pop/sq mile)]]","v":1094.9834479246244},1916.3689999999999,1916.3689999999999,9.2180000000000005E-3,"low","no",3.0299999999999999E-4,"high",0,45.956653000000003,56.491897000000002,15.384615,"y",null,"1 Suburban: Mid-corridor",null,"1 Suburban: Mid-corridor"]
[null,"Antelope Dr",1624,2067.7361853832444,null,null,null,905,null,null,{"$f":"GIS_Exports[[#This Row],[Pop density (pop/sq mile)]]","v":2067.7361853832444},176.58359999999999,176.58359999999999,6.0350000000000004E-3,null,null,3.2079999999999999E-3,null,null,null,null,null,null,null,null,127.756939]
[5,"Ballpark Station",3346,4260.2495543672012,0.89,"high potential","Mix big box, housing, apartments, potential future development",193,476,2.771147,{"$f":"GIS_Exports[[#This Row],[Pop density (pop/sq mile)]]","v":4260.2495543672012},11514.95,11514.95,0.21072299999999999,"medium-high","yes",0.16196199999999999,"low",45,100,99.400160999999997,30.769231000000001,"y",null,"1 Suburban: Mid-corridor",null,"5 TOD","Higher potential"]
[null,"Benson Grist Mill",1093,1391.6475681181564,null,null,null,378,null,null,{"$f":"GIS_Exports[[#This Row],[Pop density (pop/sq mile)]]","v":1391.6475681181564},451.35239999999999,451.35239999999999,9.0000000000000006E-5,null,null,2.2920000000000002E-3,null,null,null,null,null,null,null,null,352.45959299999998]
[null,"Big Cottonwood Canyon",1192,1517.6979882862236,null,null,null,600,null,null,{"$f":"GIS_Exports[[#This Row],[Pop density (pop/sq mile)]]","v":1517.6979882862236},477.59230000000002,477.59230000000002,9.6919999999999992E-3,null,null,0,null,null,null,null,null,null,null,null,365.73166099999997]
[6,"Bingham Junction Station",4860,6187.9297173414825,0.37,"mid","Mid density houses, large employers",199,261,3.5447510000000002,{"$f":"GIS_Exports[[#This Row],[Pop density (pop/sq mile)]]","v":6187.9297173414825},10504.06,10504.06,6.6027000000000002E-2,"medium","no",3.4079999999999999E-2,"high",35,65.571196999999998,78.968783999999999,15.384615,"y",null,"1 Suburban: Mid-corridor",null,"5 TOD","Medium potential"]
[7,"Central Pointe Station",1389,1768.5255920550039,0.92,"high potential","Mix big box, housing, apartments, possible future development",80,1378,18.722826000000001,{"$f":"GIS_Exports[[#This Row],[Pop density (pop/sq mile)]]","v":1768.5255920550039},14591.37,14591.37,5.8314999999999999E-2,"medium-high","yes",6.6001000000000004E-2,"low",40,73.119172000000006,82.417547999999996,46.153846000000001,"y",null,"4 Emerging Urban",null,"4 Emerging Urban","Very high potential with 300West infill"]
[8,"Clearfield Station",2729,3474.6625923096512,0.41,"very low","Open land, large industry",905,850,2.2907959999999998,{"$f":"GIS_Exports[[#This Row],[Pop density (pop/sq mile)]]","v":3474.6625923096512},5618.9849999999997,5618.9849999999997,4.7451E-2,"medium","yes",2.4309999999999998E-2,"high",20,13.726179999999999,47.108159000000001,46.153846000000001,"y",null,"1 Suburban: Mid-corridor",null,"1 Suburban: Mid-corridor"]
[9,"Crescent View Station",4900,6238.8591800356508,0.68,"low","Suburban single family houses",248,237,1.4053610000000001,{"$f":"GIS_Exports[[#This Row],[Pop density (pop/sq mile)]]","v":6238.8591800356508},3509.587,3509.587,1.9706000000000001E-2,"low","yes",1.2617E-2,"high",10,68.362157999999994,91.620520999999997,7.6923079999999997,"y",null,"1 Suburban: Mid-corridor",null,"1 Suburban: Mid-corridor"]
[10,"Daybreak Parkway Station",3373,4294.6269416857649,0.86,"high potential","High density housing, future development",378,1001,3.0792419999999998,{"$f":"GIS_Exports[[#This Row],[Pop density (pop/sq mile)]]","v":4294.6269416857649},4961.3459999999995,4961.3459999999995,1.9949999999999998E-3,"low","no",1.0781000000000001E-2,"high",0,83.096708000000007,92.115408000000002,7.6923079999999997,"y",null,"3 Suburban: Terminus",null,"5 TOD","Could be TOD once more infill has occurred"]
[null,"Decker Lake Station",3980,5067.4815380697737,null,null,null,271,null,null,{"$f":"GIS_Exports[[#This Row],[Pop density (pop/sq mile)]]","v":5067.4815380697737},8115.6149999999998,8115.6149999999998,0.112659,null,null,3.3161999999999997E-2,null,null,null,null,null,null,null,null,6346.5960230000001]
[null,"Draper Peaks",1739,2214.1583906289789,null,null,null,716,null,null,{"$f":"GIS_Exports[[#This Row],[Pop density (pop/sq mile)]]","v":2214.1583906289789},8966.3529999999992,8966.3529999999992,1.4312999999999999E-2,null,null,3.885E-3,null,null,null,null,null,null,null,null,7013.4720779999998]
[11,"Draper Station",769,979.11892029539092,0.48,"low","Large employers",600,560,1.9444440000000001,{"$f":"GIS_Exports[[#This Row],[Pop density (pop/sq mile)]]","v":979.11892029539092},7243.42,7243.42,2.2938E-2,"medium","no",0,"high",0,27.362724,30.365302,15.384615,"y",null,"1 Suburban: Mid-corridor",null,"1 Suburban: Mid-corridor"]
[12,"Draper Town Center Station",2134,2717.0868347338937,0.27,"low","Big box, some housing, lowish density",438,460,3.8897339999999998,{"$f":"GIS_Exports[[#This Row],[Pop density (pop/sq mile)]]","v":2717.0868347338937},5065.683,5065.683,9.6010000000000002E-3,"low","no",2.42E-4,"high",0,73.582262,66.321493000000004,15.384615,"y",null,"3 Suburban: Terminus",null,"3 Suburban: Terminus"]
[13,"Farmington Station",1497,1906.035141329259,0.44,"mid","Big box, mall, apartments",872,487,1.2692870000000001,{"$f":"GIS_Exports[[#This Row],[Pop density (pop/sq mile)]]","v":1906.035141329259},7910.0370000000003,7910.0370000000003,2.0339999999999998E-3,"low","no",3.1350000000000002E-3,"high",0,32.041120999999997,42.53284,46.153846000000001,"y",null,"1 Suburban: Mid-corridor",null,"1 Suburban: Mid-corridor"]
[14,"Fashion Place West Station",2528,3218.742042271454,0.77,"low","Suburban single family houses, some retail",316,657,2.700148,{"$f":"GIS_Exports[[#This Row],[Pop density (pop/sq mile)]]","v":3218.742042271454},4345.2250000000004,4345.2250000000004,4.6772000000000001E-2,"medium","no",6.6699999999999995E-4,"high",10,58.606831,87.939667,46.153846000000001,"y",null,"1 Suburban: Mid-corridor",null,"1 Suburban: Mid-corridor"]
[null,"Fruit Heights",1983,2524.8281130634073,null,null,null,334,null,null,{"$f":"GIS_Exports[[#This Row],[Pop density (pop/sq mile)]]","v":2524.8281130634073},159.8426,159.8426,3.6050000000000001E-3,null,null,8.6619999999999996E-3,null,null,null,null,null,null,null,null,116.94999799999999]
[null,"Hill AFB • south gate",3142,4000.5092946269419,null,null,null,null,null,null,{"$f":"GIS_Exports[[#This Row],[Pop density (pop/sq mile)]]","v":4000.5092946269419},8554.3379999999997,8554.3379999999997,6.3587000000000005E-2,null,null,1.3146E-2,null,null,null,null,null,null,null,null,6678.6350810000004]
[15,"Historic Gardner Station",3143,4001.7825311942961,0.33,"mid","Open land, apartments",130,131,3.0536129999999999,{"$f":"GIS_Exports[[#This Row],[Pop density (pop/sq mile)]]","v":4001.7825311942961},3159.277,3159.277,1.8689999999999998E-2,"low","no",4.5469999999999998E-3,"high",20,41.096831999999999,95.048505000000006,15.384615,"y",null,"1 Suburban: Mid-corridor",null,"1 Suburban: Mid-corridor"]
[16,"Historic Sandy Station",4037,5140.0560224089641,0.73,"low","Suburban single family houses",271,662,3.3463069999999999,{"$f":"GIS_Exports[[#This Row],[Pop density (pop/sq mile)]]","v":5140.0560224089641},5194.1940000000004,5194.1940000000004,3.5388000000000003E-2,"low","yes",3.8412000000000002E-2,"high",25,92.585013000000004,87.617455000000007,30.769231000000001,"y",null,"1 Suburban: Mid-corridor",null,"1 Suburban: Mid-corridor"]
[null,"Jeremy Ranch",677,861.98115609880313,null,null,null,null,null,null,{"$f":"GIS_Exports[[#This Row],[Pop density (pop/sq mile)]]","v":861.98115609880313},1257.595,1257.595,3.1809999999999998E-3,null,null,0,null,null,null,null,null,null,null,null,978.72462099999996]
[17,"Jordan Valley Station",4299,5473.6440030557678,0.21,"mid","Apartments, industry",716,427,2.8398509999999999,{"$f":"GIS_Exports[[#This Row],[Pop density (pop/sq mile)]]","v":5473.6440030557678},3419.509,3419.509,2.4691999999999999E-2,"low","yes",1.6247000000000001E-2,"medium",20,60.739967,83.757001000000002,30.769231000000001,"y",null,"1 Suburban: Mid-corridor",null,"5 TOD","Medium potential"]
[null,"Kaysville",2014,2564.2984466513881,null,null,null,null,null,null,{"$f":"GIS_Exports[[#This Row],[Pop density (pop/sq mile)]]","v":2564.2984466513881},3846.4349999999999,3846.4349999999999,1.7374000000000001E-2,null,null,8.7069999999999995E-3,null,null,null,null,null,null,null,null,3015.364239]
[null,"Kimball Junction Transit Center",239,304.30353959765728,null,null,null,null,null,null,{"$f":"GIS_Exports[[#This Row],[Pop density (pop/sq mile)]]","v":304.30353959765728},7737.89,7737.89,7.0309999999999999E-3,null,null,8.0800000000000004E-3,null,null,null,null,null,null,null,null,5934.6861529999996]
[18,"Kimballs Lane Station",2989,3805.7040998217471,0.32,"low","Mid density houses",315,125,1.2400789999999999,{"$f":"GIS_Exports[[#This Row],[Pop density (pop/sq mile)]]","v":3805.7040998217471},2964.107,2964.107,2.0532000000000002E-2,"low","no",1.0175E-2,"high",0,76.013878000000005,83.637459000000007,7.6923079999999997,"y",null,"1 Suburban: Mid-corridor",null,"1 Suburban: Mid-corridor"]
[null,"Layton Hills Mall",3992,5082.7603768780236,null,null,null,null,null,null,{"$f":"GIS_Exports[[#This Row],[Pop density (pop/sq mile)]]","v":5082.7603768780236},5852.4859999999999,5852.4859999999999,2.2959E-2,null,null,1.0996000000000001E-2,null,null,null,null,null,null,null,null,4558.7082220000002]
[19,"Layton Station",2513,{"$f":"C34/0.7854","v":3199.6434937611407},0.91,"low","Some apartments",418,655,1.721962,{"$f":"GIS_Exports[[#This Row],[Pop density (pop/sq mile)]]","v":3199.6434937611407},4200.9740000000002,4200.9740000000002,3.1945000000000001E-2,"medium","yes",1.6357E-2,"high-medium",15,36.010399999999997,95.274101000000002,38.461537999999997,"y",null,"1 Suburban: Mid-corridor",null,"1 Suburban: Mid-corridor"]
[20,"Lehi Station",738,939.64858670741023,0.59,"mid","Large employers",716,1226,2.9021870000000001,{"$f":"GIS_Exports[[#This Row],[Pop density (pop/sq mile)]]","v":939.64858670741023},11147.19,11147.19,6.1570000000000001E-3,"low","no",2.3900000000000001E-4,"high",5,62.712057999999999,41.092875999999997,38.461537999999997,"y",null,"1 Suburban: Mid-corridor",null,"1 Suburban: Mid-corridor"]
[null,"Little Cottonwood Canyon",100,127.32365673542144,null,null,null,null,null,null,{"$f":"GIS_Exports[[#This Row],[Pop density (pop/sq mile)]]","v":127.32365673542144},96.098169999999996,96.098169999999996,1.4790000000000001E-3,null,null,7.7000000000000001E-5,null,null,null,null,null,null,null,null,77.244673000000006]
[21,"Meadowbrook Station",2194,2793.4810287751466,0.34,"mid high","Apartments, retail",505,656,3.8206169999999999,{"$f":"GIS_Exports[[#This Row],[Pop density (pop/sq mile)]]","v":2793.4810287751466},10531.24,10531.24,9.1482999999999995E-2,"medium-high","yes",6.7085000000000006E-2,"low",40,76.546025999999998,87.947918000000001,30.769231000000001,"y",null,"1 Suburban: Mid-corridor",null,"5 TOD","maybe suburban transfer or medium potential"]
[22,"Midvale Center Station",4457,5674.8153806977334,0.26,"low","Suburban single family houses, some retail",334,491,5.6540759999999999,{"$f":"GIS_Exports[[#This Row],[Pop density (pop/sq mile)]]","v":5674.8153806977334},3215.248,3215.248,3.1773999999999997E-2,"low","yes",3.8122999999999997E-2,"medium",20,89.183678,79.684189000000003,46.153846000000001,"y",null,"1 Suburban: Mid-corridor",null,"2 Suburban: Transfer Location"]
[23,"Midvale Fort Union Station",2945,3749.6816908581613,0.25,"mid high","Apartments, retail",275,939,13.658182,{"$f":"GIS_Exports[[#This Row],[Pop density (pop/sq mile)]]","v":3749.6816908581613},6638.7809999999999,6638.7809999999999,9.0148000000000006E-2,"medium","yes",0.10592,"medium",35,55.715539999999997,78.536012999999997,23.076923000000001,"y",null,"2 Suburban: Transfer Location",null,"2 Suburban: Transfer Location"]
[24,"Millcreek Station",1850,2355.4876496052966,1,"low","some retail",106,1528,14.415094,{"$f":"GIS_Exports[[#This Row],[Pop density (pop/sq mile)]]","v":2355.4876496052966},12655.22,12655.22,5.3657999999999997E-2,"medium","no",3.3493000000000002E-2,"medium",35,68.286478000000002,83.634387000000004,30.769231000000001,"y",null,"2 Suburban: Transfer Location",null,"2 Suburban: Transfer Location"]
[null,"Monarch Meadows Park",4186,5329.7682709447417,null,null,null,null,null,null,{"$f":"GIS_Exports[[#This Row],[Pop density (pop/sq mile)]]","v":5329.7682709447417},889.83190000000002,889.83190000000002,5.28E-3,null,null,5.7999999999999996E-3,null,null,null,null,null,null,null,null,733.430296]
[null,"Murray Central Station","<Null>",{"$error":"#VALUE!"},null,null,null,null,null,null,{"$f":"GIS_Exports[[#This Row],[Pop density (pop/sq mile)]]","v":{"$error":"#VALUE!"}},18020.77,18020.77,9.4820000000000008E-3,null,null,5.0129E-2,null,null,null,null,null,null,null,null,13871.955339]
[25,"Murray Central Station2",1567,1995.1617010440541,0.82,"low","Hospital",338,4039,14.57281,{"$f":"GIS_Exports[[#This Row],[Pop density (pop/sq mile)]]","v":1995.1617010440541},18084.57,18084.57,9.3530000000000002E-3,"low-medium","no",4.9725999999999999E-2,"high-medium",10,62.367834999999999,78.989093999999994,61.538462000000003,"y",null,"2 Suburban: Transfer Location",null,"2 Suburban: Transfer Location"]
[26,"Murray North Station",3828,4873.9495798319331,0.56000000000000005,"mid","Apartments, retail",245,479,3.4912540000000001,{"$f":"GIS_Exports[[#This Row],[Pop density (pop/sq mile)]]","v":4873.9495798319331},8087.826,8087.826,6.7914000000000002E-2,"medium","yes",0.16236300000000001,"low",30,40.442072000000003,74.443235000000001,30.769231000000001,"y",null,"1 Suburban: Mid-corridor",null,"2 Suburban: Transfer Location"]
[null,"North Tooele",53,67.481538069773364,null,null,null,null,null,null,{"$f":"GIS_Exports[[#This Row],[Pop density (pop/sq mile)]]","v":67.481538069773364},1026.482,1026.482,1.062E-3,null,null,0,null,null,null,null,null,null,null,null,794.41731600000003]
[null,"Oak Hills",774,985.48510313216195,null,null,null,null,null,null,{"$f":"GIS_Exports[[#This Row],[Pop density (pop/sq mile)]]","v":985.48510313216195},263.7953,263.7953,3.2200000000000002E-4,null,null,0,null,null,null,null,null,null,null,null,252.53616500000001]
[27,"Ogden Station and Transit Center",1268,1614.4639674051439,0.56000000000000005,"mid","Some offices",596,1813,5.4320469999999998,{"$f":"GIS_Exports[[#This Row],[Pop density (pop/sq mile)]]","v":1614.4639674051439},11136.3,11136.3,9.6776000000000001E-2,"medium-high","no",7.1271000000000001E-2,"low",40,54.800457000000002,68.657165000000006,100,"y",null,"4 Emerging Urban",null,"4 Emerging Urban","Urban downtown few blocks from station"]
[null,"Olympus Cove P+R",3133,3989.050165520754,null,null,null,null,null,null,{"$f":"GIS_Exports[[#This Row],[Pop density (pop/sq mile)]]","v":3989.050165520754},1025.7070000000001,1025.7070000000001,1.5291000000000001E-2,null,null,4.2620000000000002E-3,null,null,null,null,null,null,null,null,794.99181099999998]
[28,"Orem Central Station",3185,4055.2584670231731,0.77,"mid high","Some apartments, university",498,2054,5.3564910000000001,{"$f":"GIS_Exports[[#This Row],[Pop density (pop/sq mile)]]","v":4055.2584670231731},7502.5439999999999,7502.5439999999999,0.13161999999999999,"medium-high","yes",1.157E-3,"high",20,62.588012999999997,44.017190999999997,46.153846000000001,"y",null,"2 Suburban: Transfer Location",null,"5 TOD"]
[null,"Palisade Park",1541,1962.0575502928446,null,null,null,null,null,null,{"$f":"GIS_Exports[[#This Row],[Pop density (pop/sq mile)]]","v":1962.0575502928446},3355.27,3355.27,1.374E-2,null,null,6.9999999999999999E-6,null,null,null,null,null,null,null,null,2607.0037579999998]
[null,"Pleasant View Station",1067,1358.5434173669469,null,null,null,null,null,null,{"$f":"GIS_Exports[[#This Row],[Pop density (pop/sq mile)]]","v":1358.5434173669469},2219.0340000000001,2219.0340000000001,2.6859000000000001E-2,null,null,6.5600000000000001E-4,null,null,null,null,null,null,null,null,1722.09709]
[29,"Provo Central Station",4008,5103.1321619556911,0.63,"mid","Some mix",791,3434,6.8910159999999996,{"$f":"GIS_Exports[[#This Row],[Pop density (pop/sq mile)]]","v":5103.1321619556911},16886.759999999998,16886.759999999998,6.2232000000000003E-2,"medium-high","no",3.1111E-2,"high-medium",30,79.102141000000003,68.319263000000007,61.538462000000003,"y",null,"4 Emerging Urban",null,"4 Emerging Urban","Urban downtown many blocks from station"]
[null,"Rainbow Gardens",1329,1692.1313980137511,null,null,null,null,null,null,{"$f":"GIS_Exports[[#This Row],[Pop density (pop/sq mile)]]","v":1692.1313980137511},352.76569999999998,352.76569999999998,4.4262000000000003E-2,null,null,5.9420000000000002E-3,null,null,null,null,null,null,null,null,276.10362900000001]
[null,"River Trail Station [except Sundays]",2253,2868.6019862490452,null,null,null,null,null,null,{"$f":"GIS_Exports[[#This Row],[Pop density (pop/sq mile)]]","v":2868.6019862490452},5879.9759999999997,5879.9759999999997,0.14149900000000001,null,null,1.7318E-2,null,null,null,null,null,null,null,null,4601.0210800000004]
[null,"Riverdale",1682,2141.5839062897885,null,null,null,null,null,null,{"$f":"GIS_Exports[[#This Row],[Pop density (pop/sq mile)]]","v":2141.5839062897885},5696.665,5696.665,7.8049999999999994E-2,null,null,6.1780000000000003E-3,null,null,null,null,null,null,null,null,4261.7130580000003]
[null,"Rose Park",3471,4419.4041252864781,null,null,null,null,null,null,{"$f":"GIS_Exports[[#This Row],[Pop density (pop/sq mile)]]","v":4419.4041252864781},2436.5990000000002,2436.5990000000002,7.6226000000000002E-2,null,null,5.6640999999999997E-2,null,null,null,null,null,null,null,null,1898.045654]
[30,"Roy Station",2665,3393.1754519989813,0.47,"very low","Suburban single family houses",512,411,1.707945,{"$f":"GIS_Exports[[#This Row],[Pop density (pop/sq mile)]]","v":3393.1754519989813},1345.2139999999999,1345.2139999999999,1.2467000000000001E-2,"low","no",4.0000000000000003E-5,"high",5,42.210417,46.742376,23.076923000000001,"y",null,"1 Suburban: Mid-corridor",null,"1 Suburban: Mid-corridor"]
[null,"Salt Lake Central Station",2695,3431.372549019608,null,null,null,null,null,null,{"$f":"GIS_Exports[[#This Row],[Pop density (pop/sq mile)]]","v":3431.372549019608},20092.66,20092.66,7.7188000000000007E-2,null,null,7.1931999999999996E-2,null,null,null,null,null,null,null,null,14916.108709]
[31,"Salt Lake Central Station2",2695,3431.372549019608,1,"high","close-est to downtown",23,2490,108.26087,{"$f":"GIS_Exports[[#This Row],[Pop density (pop/sq mile)]]","v":3431.372549019608},20092.29,20092.29,7.7188000000000007E-2,"medium-high","no",7.1929999999999994E-2,"low",20,71.924974000000006,95.015214,61.538462000000003,"y",null,"6 Urban",null,"6 Urban"]
[32,"Sandy Civic Center Station",2762,3516.6793990323404,0.08,"high potential","Apartments",1192,325,3.4081380000000001,{"$f":"GIS_Exports[[#This Row],[Pop density (pop/sq mile)]]","v":3516.6793990323404},6670.7939999999999,6670.7939999999999,1.6202000000000001E-2,"low","no",5.9820000000000003E-3,"high",0,70.887236999999999,89.599053999999995,30.769231000000001,"y",null,"1 Suburban: Mid-corridor",null,"2 Suburban: Transfer Location","With more mixed use development has high potential"]
[33,"South Jordan Parkway Station",2043,2601.2223071046601,0.3,"mid","Potential apartments",229,125,1.8195049999999999,{"$f":"GIS_Exports[[#This Row],[Pop density (pop/sq mile)]]","v":2601.2223071046601},285.39830000000001,285.39830000000001,3.9849999999999998E-3,"low","no",2.1805000000000001E-2,"high",10,37.072561999999998,60.998519000000002,7.6923079999999997,"y",null,"1 Suburban: Mid-corridor",null,"1 Suburban: Mid-corridor"]
[34,"South Jordan Station",1406,1790.1706137000256,0.49,"mid","Employers",562,668,2.4257390000000001,{"$f":"GIS_Exports[[#This Row],[Pop density (pop/sq mile)]]","v":1790.1706137000256},12523.01,12523.01,2.4208E-2,"low","no",2.0000000000000001E-4,"high",0,23.995664999999999,76.309084999999996,38.461537999999997,"y",null,"1 Suburban: Mid-corridor",null,"1 Suburban: Mid-corridor"]
[null,"South Payson",1123,1429.8446651387828,null,null,null,null,null,null,{"$f":"GIS_Exports[[#This Row],[Pop density (pop/sq mile)]]","v":1429.8446651387828},3507,3507,4.6684000000000003E-2,null,null,2.0656999999999998E-2,null,null,null,null,null,null,null,null,2996.3613399999999]
[null,"South Weber",1142,1454.0361599185128,null,null,null,null,null,null,{"$f":"GIS_Exports[[#This Row],[Pop density (pop/sq mile)]]","v":1454.0361599185128},299.45240000000001,299.45240000000001,4.1289999999999999E-3,null,null,0,null,null,null,null,null,null,null,null,233.64299299999999]
[null,"Spanish Fork (VASA)",4323,5504.2016806722686,null,null,null,null,null,null,{"$f":"GIS_Exports[[#This Row],[Pop density (pop/sq mile)]]","v":5504.2016806722686},3519.9319999999998,3519.9319999999998,3.7700999999999998E-2,null,null,1.3422999999999999E-2,null,null,null,null,null,null,null,null,2825.2963810000001]
[null,"Vineyard Station",1721,{"$f":"C66/0.7854","v":2191.240132416603},null,null,null,null,null,null,{"$f":"GIS_Exports[[#This Row],[Pop density (pop/sq mile)]]","v":2191.240132416603},7931.2110000000002,7931.2110000000002,3.7893000000000003E-2,null,null,1.1905000000000001E-2,null,null,null,null,null,null,null,null,2010.8124270000001]
[35,"West Jordan City Center Station",3812,{"$f":"C67/0.7854","v":4853.5777947542656},0.36,"low","Industry offices",336,736,6.0846559999999998,{"$f":"GIS_Exports[[#This Row],[Pop density (pop/sq mile)]]","v":4853.5777947542656},4421.9759999999997,4421.9759999999997,3.5333999999999997E-2,"low","yes",5.5700000000000003E-3,"high",40,38.732083000000003,67.431179999999998,23.076923000000001,"y",null,"2 Suburban: Transfer Location",null,"2 Suburban: Transfer Location"]
[36,"West Valley Central Station",5083,{"$f":"C68/0.7854","v":6471.8614718614717},0.74,"mid","Offices, mall, some apartments",168,2476,19.916345,{"$f":"GIS_Exports[[#This Row],[Pop density (pop/sq mile)]]","v":6471.8614718614717},5413.3440000000001,5413.3440000000001,9.6076999999999996E-2,"medium","yes",5.5244000000000001E-2,"medium",40,91.885130000000004,89.126304000000005,76.923077000000006,"y",null,"3 Suburban: Terminus",null,"5 TOD","Mainly mall and small residential"]
[37,"Woods Cross Station",2053,{"$f":"C69/0.7854","v":2613.9546727782022},0.5,"very low","Suburban single family houses",419,473,2.2577569999999998,{"$f":"GIS_Exports[[#This Row],[Pop density (pop/sq mile)]]","v":2613.9546727782022},3293.1350000000002,3293.1350000000002,8.6971999999999994E-2,"medium","no",1.533E-2,"high",10,30.312588000000002,74.32526,7.6923079999999997,"y",null,"1 Suburban: Mid-corridor",null,"1 Suburban: Mid-corridor"]
["Notes",null,null,null,null,null,null,null,null,null,null,"Employment density was calculated from a half mile buffer around P&R stations and using apportion polygon tool in ArcGIS to calculate the employment within the half mile buffer from TAZ 2024 job projections. ","Job density was estimated from the GIS maps created showing job density at TAZs near P&R stations","Poverty percentage was calculated using apportion polygon of a half mile buffer around P&R stations and poverty percentage of surrounding blockgroup polygons","Low income was estimated using the produced low income GIS maps ","Equity focus area, if station is within the boundary of an EFA then classified as yes"]

{"sheet":"Existing Only","index":5,"n_rows":41,"n_cols":36,"rows_kept":41,"cut":false,"hidden":false,"merged":[]}
["Station Name","Population (1/2 mile radius)","Pop density (pop/sq mile)","Parking Utilization","Land use transit friendlyness notes","Land use context notes","Current Parking Spaces","Current Boardings","Boardings/parked car","Pop Density","Employment Density (sq mile)","Job Density","Percent Poverty","Low Income Percentage","EFA","No vehicle households percentage","Vehicle Ownership","TDI","Walk Score","Bike Score","Transit Access Score","PandR","Option Buttom Existing","Initally Assigned Typology","Column3","Reassigned Typologies","Typology notes","Weighted Pop. Density","Weighted Job Density","Weighted Income %","Weighted Vehicle Ownership","Weighted TDI","Weighted Walk Score","Weighted Bike Score","Weighted Transit Access Score","Total"]
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["4800 West Station",{"$f":"_xlfn.XLOOKUP(Existing_PR_GIS[[#This Row],[Station Name]],'GIS Exports'!$B:$B,'GIS Exports'!C:C)","v":3452},{"$f":"_xlfn.XLOOKUP(Existing_PR_GIS[[#This Row],[Station Name]],'GIS Exports'!$B:$B,'GIS Exports'!D:D)","v":4395.2126305067486},{"$f":"_xlfn.XLOOKUP(Existing_PR_GIS[[#This Row],[Station Name]],'GIS Exports'!$B:$B,'GIS Exports'!E:E)","v":0.7},{"$f":"_xlfn.XLOOKUP(Existing_PR_GIS[[#This Row],[Station Name]],'GIS Exports'!$B:$B,'GIS Exports'!F:F)","v":"very low"},{"$f":"_xlfn.XLOOKUP(Existing_PR_GIS[[#This Row],[Station Name]],'GIS Exports'!$B:$B,'GIS Exports'!G:G)","v":"Suburban single family houses"},{"$f":"_xlfn.XLOOKUP(Existing_PR_GIS[[#This Row],[Station Name]],'GIS Exports'!$B:$B,'GIS Exports'!H:H)","v":262},{"$f":"_xlfn.XLOOKUP(Existing_PR_GIS[[#This Row],[Station Name]],'GIS Exports'!$B:$B,'GIS Exports'!I:I)","v":366},{"$f":"_xlfn.XLOOKUP(Existing_PR_GIS[[#This Row],[Station Name]],'GIS Exports'!$B:$B,'GIS Exports'!J:J)","v":1.995638},{"$f":"_xlfn.XLOOKUP(Existing_PR_GIS[[#This Row],[Station Name]],'GIS Exports'!$B:$B,'GIS Exports'!K:K)","v":4395.2126305067486},{"$f":"_xlfn.XLOOKUP(Existing_PR_GIS[[#This Row],[Station Name]],'GIS Exports'!$B:$B,'GIS Exports'!L:L)","v":379.65300000000002},{"$f":"_xlfn.XLOOKUP(Existing_PR_GIS[[#This Row],[Station Name]],'GIS Exports'!$B:$B,'GIS Exports'!M:M)","v":379.65300000000002},{"$f":"_xlfn.XLOOKUP(Existing_PR_GIS[[#This Row],[Station Name]],'GIS Exports'!$B:$B,'GIS Exports'!N:N)","v":8.0730000000000003E-3},{"$f":"_xlfn.XLOOKUP(Existing_PR_GIS[[#This Row],[Station Name]],'GIS Exports'!$B:$B,'GIS Exports'!O:O)","v":"low"},{"$f":"_xlfn.XLOOKUP(Existing_PR_GIS[[#This Row],[Station Name]],'GIS Exports'!$B:$B,'GIS Exports'!P:P)","v":"no"},{"$f":"_xlfn.XLOOKUP(Existing_PR_GIS[[#This Row],[Station Name]],'GIS Exports'!$B:$B,'GIS Exports'!Q:Q)","v":1.9139999999999999E-3},{"$f":"_xlfn.XLOOKUP(Existing_PR_GIS[[#This Row],[Station Name]],'GIS Exports'!$B:$B,'GIS Exports'!R:R)","v":"high"},{"$f":"_xlfn.XLOOKUP(Existing_PR_GIS[[#This Row],[Station Name]],'GIS Exports'!$B:$B,'GIS Exports'!S:S)","v":0},{"$f":"_xlfn.XLOOKUP(Existing_PR_GIS[[#This Row],[Station Name]],'GIS Exports'!$B:$B,'GIS Exports'!T:T)","v":90.005262000000002},{"$f":"_xlfn.XLOOKUP(Existing_PR_GIS[[#This Row],[Station Name]],'GIS Exports'!$B:$B,'GIS Exports'!U:U)","v":77.898857000000007},{"$f":"_xlfn.XLOOKUP(Existing_PR_GIS[[#This Row],[Station Name]],'GIS Exports'!$B:$B,'GIS Exports'!V:V)","v":15.384615},{"$f":"_xlfn.XLOOKUP(Existing_PR_GIS[[#This Row],[Station Name]],'GIS Exports'!$B:$B,'GIS Exports'!W:W)","v":"y"},{"$f":"_xlfn.XLOOKUP(Existing_PR_GIS[[#This Row],[Station Name]],'GIS Exports'!$B:$B,'GIS Exports'!X:X)","v":0},{"$f":"_xlfn.XLOOKUP(Existing_PR_GIS[[#This Row],[Station Name]],'GIS Exports'!$B:$B,'GIS Exports'!Y:Y)","v":"1 Suburban: Mid-corridor"},{"$f":"_xlfn.XLOOKUP(Existing_PR_GIS[[#This Row],[Station Name]],'GIS Exports'!$B:$B,'GIS Exports'!Z:Z)","v":0},{"$f":"_xlfn.XLOOKUP(Existing_PR_GIS[[#This Row],[Station Name]],'GIS Exports'!$B:$B,'GIS Exports'!AA:AA)","v":"1 Suburban: Mid-corridor"},{"$f":"_xlfn.XLOOKUP(Existing_PR_GIS[[#This Row],[Station Name]],'GIS Exports'!$B:$B,'GIS Exports'!AB:AB)","v":0},0.5,0,0,0,0,2,1,0,{"$f":"SUM(Existing_PR_GIS[[#This Row],[Weighted Pop. Density]:[Weighted Transit Access Score]])","v":3.5}]
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["South Jordan Parkway Station",{"$f":"_xlfn.XLOOKUP(Existing_PR_GIS[[#This Row],[Station Name]],'GIS Exports'!$B:$B,'GIS Exports'!C:C)","v":2043},{"$f":"_xlfn.XLOOKUP(Existing_PR_GIS[[#This Row],[Station Name]],'GIS Exports'!$B:$B,'GIS Exports'!D:D)","v":2601.2223071046601},{"$f":"_xlfn.XLOOKUP(Existing_PR_GIS[[#This Row],[Station Name]],'GIS Exports'!$B:$B,'GIS Exports'!E:E)","v":0.3},{"$f":"_xlfn.XLOOKUP(Existing_PR_GIS[[#This Row],[Station Name]],'GIS Exports'!$B:$B,'GIS Exports'!F:F)","v":"mid"},{"$f":"_xlfn.XLOOKUP(Existing_PR_GIS[[#This Row],[Station Name]],'GIS Exports'!$B:$B,'GIS Exports'!G:G)","v":"Potential apartments"},{"$f":"_xlfn.XLOOKUP(Existing_PR_GIS[[#This Row],[Station Name]],'GIS Exports'!$B:$B,'GIS Exports'!H:H)","v":229},{"$f":"_xlfn.XLOOKUP(Existing_PR_GIS[[#This Row],[Station Name]],'GIS Exports'!$B:$B,'GIS Exports'!I:I)","v":125},{"$f":"_xlfn.XLOOKUP(Existing_PR_GIS[[#This Row],[Station Name]],'GIS Exports'!$B:$B,'GIS Exports'!J:J)","v":1.8195049999999999},{"$f":"_xlfn.XLOOKUP(Existing_PR_GIS[[#This Row],[Station Name]],'GIS Exports'!$B:$B,'GIS Exports'!K:K)","v":2601.2223071046601},{"$f":"_xlfn.XLOOKUP(Existing_PR_GIS[[#This Row],[Station Name]],'GIS Exports'!$B:$B,'GIS Exports'!L:L)","v":285.39830000000001},{"$f":"_xlfn.XLOOKUP(Existing_PR_GIS[[#This Row],[Station Name]],'GIS Exports'!$B:$B,'GIS Exports'!M:M)","v":285.39830000000001},{"$f":"_xlfn.XLOOKUP(Existing_PR_GIS[[#This Row],[Station Name]],'GIS Exports'!$B:$B,'GIS Exports'!N:N)","v":3.9849999999999998E-3},{"$f":"_xlfn.XLOOKUP(Existing_PR_GIS[[#This Row],[Station Name]],'GIS Exports'!$B:$B,'GIS Exports'!O:O)","v":"low"},{"$f":"_xlfn.XLOOKUP(Existing_PR_GIS[[#This Row],[Station Name]],'GIS Exports'!$B:$B,'GIS Exports'!P:P)","v":"no"},{"$f":"_xlfn.XLOOKUP(Existing_PR_GIS[[#This Row],[Station Name]],'GIS Exports'!$B:$B,'GIS Exports'!Q:Q)","v":2.1805000000000001E-2},{"$f":"_xlfn.XLOOKUP(Existing_PR_GIS[[#This Row],[Station Name]],'GIS Exports'!$B:$B,'GIS Exports'!R:R)","v":"high"},{"$f":"_xlfn.XLOOKUP(Existing_PR_GIS[[#This Row],[Station Name]],'GIS Exports'!$B:$B,'GIS Exports'!S:S)","v":10},{"$f":"_xlfn.XLOOKUP(Existing_PR_GIS[[#This Row],[Station Name]],'GIS Exports'!$B:$B,'GIS Exports'!T:T)","v":37.072561999999998},{"$f":"_xlfn.XLOOKUP(Existing_PR_GIS[[#This Row],[Station Name]],'GIS Exports'!$B:$B,'GIS Exports'!U:U)","v":60.998519000000002},{"$f":"_xlfn.XLOOKUP(Existing_PR_GIS[[#This Row],[Station Name]],'GIS Exports'!$B:$B,'GIS Exports'!V:V)","v":7.6923079999999997},{"$f":"_xlfn.XLOOKUP(Existing_PR_GIS[[#This Row],[Station Name]],'GIS Exports'!$B:$B,'GIS Exports'!W:W)","v":"y"},{"$f":"_xlfn.XLOOKUP(Existing_PR_GIS[[#This Row],[Station Name]],'GIS Exports'!$B:$B,'GIS Exports'!X:X)","v":0},{"$f":"_xlfn.XLOOKUP(Existing_PR_GIS[[#This Row],[Station Name]],'GIS Exports'!$B:$B,'GIS Exports'!Y:Y)","v":"1 Suburban: Mid-corridor"},{"$f":"_xlfn.XLOOKUP(Existing_PR_GIS[[#This Row],[Station Name]],'GIS Exports'!$B:$B,'GIS Exports'!Z:Z)","v":0},{"$f":"_xlfn.XLOOKUP(Existing_PR_GIS[[#This Row],[Station Name]],'GIS Exports'!$B:$B,'GIS Exports'!AA:AA)","v":"1 Suburban: Mid-corridor"},{"$f":"_xlfn.XLOOKUP(Existing_PR_GIS[[#This Row],[Station Name]],'GIS Exports'!$B:$B,'GIS Exports'!AB:AB)","v":0},0.5,0,0,0,0,1,1,0,{"$f":"SUM(Existing_PR_GIS[[#This Row],[Weighted Pop. Density]:[Weighted Transit Access Score]])","v":2.5}]
["South Jordan Station",{"$f":"_xlfn.XLOOKUP(Existing_PR_GIS[[#This Row],[Station Name]],'GIS Exports'!$B:$B,'GIS Exports'!C:C)","v":1406},{"$f":"_xlfn.XLOOKUP(Existing_PR_GIS[[#This Row],[Station Name]],'GIS Exports'!$B:$B,'GIS Exports'!D:D)","v":1790.1706137000256},{"$f":"_xlfn.XLOOKUP(Existing_PR_GIS[[#This Row],[Station Name]],'GIS Exports'!$B:$B,'GIS Exports'!E:E)","v":0.49},{"$f":"_xlfn.XLOOKUP(Existing_PR_GIS[[#This Row],[Station Name]],'GIS Exports'!$B:$B,'GIS Exports'!F:F)","v":"mid"},{"$f":"_xlfn.XLOOKUP(Existing_PR_GIS[[#This Row],[Station Name]],'GIS Exports'!$B:$B,'GIS Exports'!G:G)","v":"Employers"},{"$f":"_xlfn.XLOOKUP(Existing_PR_GIS[[#This Row],[Station Name]],'GIS Exports'!$B:$B,'GIS Exports'!H:H)","v":562},{"$f":"_xlfn.XLOOKUP(Existing_PR_GIS[[#This Row],[Station Name]],'GIS Exports'!$B:$B,'GIS Exports'!I:I)","v":668},{"$f":"_xlfn.XLOOKUP(Existing_PR_GIS[[#This Row],[Station Name]],'GIS Exports'!$B:$B,'GIS Exports'!J:J)","v":2.4257390000000001},{"$f":"_xlfn.XLOOKUP(Existing_PR_GIS[[#This Row],[Station Name]],'GIS Exports'!$B:$B,'GIS Exports'!K:K)","v":1790.1706137000256},{"$f":"_xlfn.XLOOKUP(Existing_PR_GIS[[#This Row],[Station Name]],'GIS Exports'!$B:$B,'GIS Exports'!L:L)","v":12523.01},{"$f":"_xlfn.XLOOKUP(Existing_PR_GIS[[#This Row],[Station Name]],'GIS Exports'!$B:$B,'GIS Exports'!M:M)","v":12523.01},{"$f":"_xlfn.XLOOKUP(Existing_PR_GIS[[#This Row],[Station Name]],'GIS Exports'!$B:$B,'GIS Exports'!N:N)","v":2.4208E-2},{"$f":"_xlfn.XLOOKUP(Existing_PR_GIS[[#This Row],[Station Name]],'GIS Exports'!$B:$B,'GIS Exports'!O:O)","v":"low"},{"$f":"_xlfn.XLOOKUP(Existing_PR_GIS[[#This Row],[Station Name]],'GIS Exports'!$B:$B,'GIS Exports'!P:P)","v":"no"},{"$f":"_xlfn.XLOOKUP(Existing_PR_GIS[[#This Row],[Station Name]],'GIS Exports'!$B:$B,'GIS Exports'!Q:Q)","v":2.0000000000000001E-4},{"$f":"_xlfn.XLOOKUP(Existing_PR_GIS[[#This Row],[Station Name]],'GIS Exports'!$B:$B,'GIS Exports'!R:R)","v":"high"},{"$f":"_xlfn.XLOOKUP(Existing_PR_GIS[[#This Row],[Station Name]],'GIS Exports'!$B:$B,'GIS Exports'!S:S)","v":0},{"$f":"_xlfn.XLOOKUP(Existing_PR_GIS[[#This Row],[Station Name]],'GIS Exports'!$B:$B,'GIS Exports'!T:T)","v":23.995664999999999},{"$f":"_xlfn.XLOOKUP(Existing_PR_GIS[[#This Row],[Station Name]],'GIS Exports'!$B:$B,'GIS Exports'!U:U)","v":76.309084999999996},{"$f":"_xlfn.XLOOKUP(Existing_PR_GIS[[#This Row],[Station Name]],'GIS Exports'!$B:$B,'GIS Exports'!V:V)","v":38.461537999999997},{"$f":"_xlfn.XLOOKUP(Existing_PR_GIS[[#This Row],[Station Name]],'GIS Exports'!$B:$B,'GIS Exports'!W:W)","v":"y"},{"$f":"_xlfn.XLOOKUP(Existing_PR_GIS[[#This Row],[Station Name]],'GIS Exports'!$B:$B,'GIS Exports'!X:X)","v":0},{"$f":"_xlfn.XLOOKUP(Existing_PR_GIS[[#This Row],[Station Name]],'GIS Exports'!$B:$B,'GIS Exports'!Y:Y)","v":"1 Suburban: Mid-corridor"},{"$f":"_xlfn.XLOOKUP(Existing_PR_GIS[[#This Row],[Station Name]],'GIS Exports'!$B:$B,'GIS Exports'!Z:Z)","v":0},{"$f":"_xlfn.XLOOKUP(Existing_PR_GIS[[#This Row],[Station Name]],'GIS Exports'!$B:$B,'GIS Exports'!AA:AA)","v":"1 Suburban: Mid-corridor"},{"$f":"_xlfn.XLOOKUP(Existing_PR_GIS[[#This Row],[Station Name]],'GIS Exports'!$B:$B,'GIS Exports'!AB:AB)","v":0},0,0.5,0,0,0,0,1,1,{"$f":"SUM(Existing_PR_GIS[[#This Row],[Weighted Pop. Density]:[Weighted Transit Access Score]])","v":2.5}]
["West Jordan City Center Station",{"$f":"_xlfn.XLOOKUP(Existing_PR_GIS[[#This Row],[Station Name]],'GIS Exports'!$B:$B,'GIS Exports'!C:C)","v":3812},{"$f":"_xlfn.XLOOKUP(Existing_PR_GIS[[#This Row],[Station Name]],'GIS Exports'!$B:$B,'GIS Exports'!D:D)","v":4853.5777947542656},{"$f":"_xlfn.XLOOKUP(Existing_PR_GIS[[#This Row],[Station Name]],'GIS Exports'!$B:$B,'GIS Exports'!E:E)","v":0.36},{"$f":"_xlfn.XLOOKUP(Existing_PR_GIS[[#This Row],[Station Name]],'GIS Exports'!$B:$B,'GIS Exports'!F:F)","v":"low"},{"$f":"_xlfn.XLOOKUP(Existing_PR_GIS[[#This Row],[Station Name]],'GIS Exports'!$B:$B,'GIS Exports'!G:G)","v":"Industry offices"},{"$f":"_xlfn.XLOOKUP(Existing_PR_GIS[[#This Row],[Station Name]],'GIS Exports'!$B:$B,'GIS Exports'!H:H)","v":336},{"$f":"_xlfn.XLOOKUP(Existing_PR_GIS[[#This Row],[Station Name]],'GIS Exports'!$B:$B,'GIS Exports'!I:I)","v":736},{"$f":"_xlfn.XLOOKUP(Existing_PR_GIS[[#This Row],[Station Name]],'GIS Exports'!$B:$B,'GIS Exports'!J:J)","v":6.0846559999999998},{"$f":"_xlfn.XLOOKUP(Existing_PR_GIS[[#This Row],[Station Name]],'GIS Exports'!$B:$B,'GIS Exports'!K:K)","v":4853.5777947542656},{"$f":"_xlfn.XLOOKUP(Existing_PR_GIS[[#This Row],[Station Name]],'GIS Exports'!$B:$B,'GIS Exports'!L:L)","v":4421.9759999999997},{"$f":"_xlfn.XLOOKUP(Existing_PR_GIS[[#This Row],[Station Name]],'GIS Exports'!$B:$B,'GIS Exports'!M:M)","v":4421.9759999999997},{"$f":"_xlfn.XLOOKUP(Existing_PR_GIS[[#This Row],[Station Name]],'GIS Exports'!$B:$B,'GIS Exports'!N:N)","v":3.5333999999999997E-2},{"$f":"_xlfn.XLOOKUP(Existing_PR_GIS[[#This Row],[Station Name]],'GIS Exports'!$B:$B,'GIS Exports'!O:O)","v":"low"},{"$f":"_xlfn.XLOOKUP(Existing_PR_GIS[[#This Row],[Station Name]],'GIS Exports'!$B:$B,'GIS Exports'!P:P)","v":"yes"},{"$f":"_xlfn.XLOOKUP(Existing_PR_GIS[[#This Row],[Station Name]],'GIS Exports'!$B:$B,'GIS Exports'!Q:Q)","v":5.5700000000000003E-3},{"$f":"_xlfn.XLOOKUP(Existing_PR_GIS[[#This Row],[Station Name]],'GIS Exports'!$B:$B,'GIS Exports'!R:R)","v":"high"},{"$f":"_xlfn.XLOOKUP(Existing_PR_GIS[[#This Row],[Station Name]],'GIS Exports'!$B:$B,'GIS Exports'!S:S)","v":40},{"$f":"_xlfn.XLOOKUP(Existing_PR_GIS[[#This Row],[Station Name]],'GIS Exports'!$B:$B,'GIS Exports'!T:T)","v":38.732083000000003},{"$f":"_xlfn.XLOOKUP(Existing_PR_GIS[[#This Row],[Station Name]],'GIS Exports'!$B:$B,'GIS Exports'!U:U)","v":67.431179999999998},{"$f":"_xlfn.XLOOKUP(Existing_PR_GIS[[#This Row],[Station Name]],'GIS Exports'!$B:$B,'GIS Exports'!V:V)","v":23.076923000000001},{"$f":"_xlfn.XLOOKUP(Existing_PR_GIS[[#This Row],[Station Name]],'GIS Exports'!$B:$B,'GIS Exports'!W:W)","v":"y"},{"$f":"_xlfn.XLOOKUP(Existing_PR_GIS[[#This Row],[Station Name]],'GIS Exports'!$B:$B,'GIS Exports'!X:X)","v":0},{"$f":"_xlfn.XLOOKUP(Existing_PR_GIS[[#This Row],[Station Name]],'GIS Exports'!$B:$B,'GIS Exports'!Y:Y)","v":"2 Suburban: Transfer Location"},{"$f":"_xlfn.XLOOKUP(Existing_PR_GIS[[#This Row],[Station Name]],'GIS Exports'!$B:$B,'GIS Exports'!Z:Z)","v":0},{"$f":"_xlfn.XLOOKUP(Existing_PR_GIS[[#This Row],[Station Name]],'GIS Exports'!$B:$B,'GIS Exports'!AA:AA)","v":"2 Suburban: Transfer Location"},{"$f":"_xlfn.XLOOKUP(Existing_PR_GIS[[#This Row],[Station Name]],'GIS Exports'!$B:$B,'GIS Exports'!AB:AB)","v":0},0.5,0,0,0,0.5,1,1,1,{"$f":"SUM(Existing_PR_GIS[[#This Row],[Weighted Pop. Density]:[Weighted Transit Access Score]])","v":4}]
["West Valley Central Station",{"$f":"_xlfn.XLOOKUP(Existing_PR_GIS[[#This Row],[Station Name]],'GIS Exports'!$B:$B,'GIS Exports'!C:C)","v":5083},{"$f":"_xlfn.XLOOKUP(Existing_PR_GIS[[#This Row],[Station Name]],'GIS Exports'!$B:$B,'GIS Exports'!D:D)","v":6471.8614718614717},{"$f":"_xlfn.XLOOKUP(Existing_PR_GIS[[#This Row],[Station Name]],'GIS Exports'!$B:$B,'GIS Exports'!E:E)","v":0.74},{"$f":"_xlfn.XLOOKUP(Existing_PR_GIS[[#This Row],[Station Name]],'GIS Exports'!$B:$B,'GIS Exports'!F:F)","v":"mid"},{"$f":"_xlfn.XLOOKUP(Existing_PR_GIS[[#This Row],[Station Name]],'GIS Exports'!$B:$B,'GIS Exports'!G:G)","v":"Offices, mall, some apartments"},{"$f":"_xlfn.XLOOKUP(Existing_PR_GIS[[#This Row],[Station Name]],'GIS Exports'!$B:$B,'GIS Exports'!H:H)","v":168},{"$f":"_xlfn.XLOOKUP(Existing_PR_GIS[[#This Row],[Station Name]],'GIS Exports'!$B:$B,'GIS Exports'!I:I)","v":2476},{"$f":"_xlfn.XLOOKUP(Existing_PR_GIS[[#This Row],[Station Name]],'GIS Exports'!$B:$B,'GIS Exports'!J:J)","v":19.916345},{"$f":"_xlfn.XLOOKUP(Existing_PR_GIS[[#This Row],[Station Name]],'GIS Exports'!$B:$B,'GIS Exports'!K:K)","v":6471.8614718614717},{"$f":"_xlfn.XLOOKUP(Existing_PR_GIS[[#This Row],[Station Name]],'GIS Exports'!$B:$B,'GIS Exports'!L:L)","v":5413.3440000000001},{"$f":"_xlfn.XLOOKUP(Existing_PR_GIS[[#This Row],[Station Name]],'GIS Exports'!$B:$B,'GIS Exports'!M:M)","v":5413.3440000000001},{"$f":"_xlfn.XLOOKUP(Existing_PR_GIS[[#This Row],[Station Name]],'GIS Exports'!$B:$B,'GIS Exports'!N:N)","v":9.6076999999999996E-2},{"$f":"_xlfn.XLOOKUP(Existing_PR_GIS[[#This Row],[Station Name]],'GIS Exports'!$B:$B,'GIS Exports'!O:O)","v":"medium"},{"$f":"_xlfn.XLOOKUP(Existing_PR_GIS[[#This Row],[Station Name]],'GIS Exports'!$B:$B,'GIS Exports'!P:P)","v":"yes"},{"$f":"_xlfn.XLOOKUP(Existing_PR_GIS[[#This Row],[Station Name]],'GIS Exports'!$B:$B,'GIS Exports'!Q:Q)","v":5.5244000000000001E-2},{"$f":"_xlfn.XLOOKUP(Existing_PR_GIS[[#This Row],[Station Name]],'GIS Exports'!$B:$B,'GIS Exports'!R:R)","v":"medium"},{"$f":"_xlfn.XLOOKUP(Existing_PR_GIS[[#This Row],[Station Name]],'GIS Exports'!$B:$B,'GIS Exports'!S:S)","v":40},{"$f":"_xlfn.XLOOKUP(Existing_PR_GIS[[#This Row],[Station Name]],'GIS Exports'!$B:$B,'GIS Exports'!T:T)","v":91.885130000000004},{"$f":"_xlfn.XLOOKUP(Existing_PR_GIS[[#This Row],[Station Name]],'GIS Exports'!$B:$B,'GIS Exports'!U:U)","v":89.126304000000005},{"$f":"_xlfn.XLOOKUP(Existing_PR_GIS[[#This Row],[Station Name]],'GIS Exports'!$B:$B,'GIS Exports'!V:V)","v":76.923077000000006},{"$f":"_xlfn.XLOOKUP(Existing_PR_GIS[[#This Row],[Station Name]],'GIS Exports'!$B:$B,'GIS Exports'!W:W)","v":"y"},{"$f":"_xlfn.XLOOKUP(Existing_PR_GIS[[#This Row],[Station Name]],'GIS Exports'!$B:$B,'GIS Exports'!X:X)","v":0},{"$f":"_xlfn.XLOOKUP(Existing_PR_GIS[[#This Row],[Station Name]],'GIS Exports'!$B:$B,'GIS Exports'!Y:Y)","v":"3 Suburban: Terminus"},{"$f":"_xlfn.XLOOKUP(Existing_PR_GIS[[#This Row],[Station Name]],'GIS Exports'!$B:$B,'GIS Exports'!Z:Z)","v":0},{"$f":"_xlfn.XLOOKUP(Existing_PR_GIS[[#This Row],[Station Name]],'GIS Exports'!$B:$B,'GIS Exports'!AA:AA)","v":"5 TOD"},{"$f":"_xlfn.XLOOKUP(Existing_PR_GIS[[#This Row],[Station Name]],'GIS Exports'!$B:$B,'GIS Exports'!AB:AB)","v":"Mainly mall and small residential"},1,0,0,0,0.5,2,2,2,{"$f":"SUM(Existing_PR_GIS[[#This Row],[Weighted Pop. Density]:[Weighted Transit Access Score]])","v":7.5}]
["Woods Cross Station",{"$f":"_xlfn.XLOOKUP(Existing_PR_GIS[[#This Row],[Station Name]],'GIS Exports'!$B:$B,'GIS Exports'!C:C)","v":2053},{"$f":"_xlfn.XLOOKUP(Existing_PR_GIS[[#This Row],[Station Name]],'GIS Exports'!$B:$B,'GIS Exports'!D:D)","v":2613.9546727782022},{"$f":"_xlfn.XLOOKUP(Existing_PR_GIS[[#This Row],[Station Name]],'GIS Exports'!$B:$B,'GIS Exports'!E:E)","v":0.5},{"$f":"_xlfn.XLOOKUP(Existing_PR_GIS[[#This Row],[Station Name]],'GIS Exports'!$B:$B,'GIS Exports'!F:F)","v":"very low"},{"$f":"_xlfn.XLOOKUP(Existing_PR_GIS[[#This Row],[Station Name]],'GIS Exports'!$B:$B,'GIS Exports'!G:G)","v":"Suburban single family houses"},{"$f":"_xlfn.XLOOKUP(Existing_PR_GIS[[#This Row],[Station Name]],'GIS Exports'!$B:$B,'GIS Exports'!H:H)","v":419},{"$f":"_xlfn.XLOOKUP(Existing_PR_GIS[[#This Row],[Station Name]],'GIS Exports'!$B:$B,'GIS Exports'!I:I)","v":473},{"$f":"_xlfn.XLOOKUP(Existing_PR_GIS[[#This Row],[Station Name]],'GIS Exports'!$B:$B,'GIS Exports'!J:J)","v":2.2577569999999998},{"$f":"_xlfn.XLOOKUP(Existing_PR_GIS[[#This Row],[Station Name]],'GIS Exports'!$B:$B,'GIS Exports'!K:K)","v":2613.9546727782022},{"$f":"_xlfn.XLOOKUP(Existing_PR_GIS[[#This Row],[Station Name]],'GIS Exports'!$B:$B,'GIS Exports'!L:L)","v":3293.1350000000002},{"$f":"_xlfn.XLOOKUP(Existing_PR_GIS[[#This Row],[Station Name]],'GIS Exports'!$B:$B,'GIS Exports'!M:M)","v":3293.1350000000002},{"$f":"_xlfn.XLOOKUP(Existing_PR_GIS[[#This Row],[Station Name]],'GIS Exports'!$B:$B,'GIS Exports'!N:N)","v":8.6971999999999994E-2},{"$f":"_xlfn.XLOOKUP(Existing_PR_GIS[[#This Row],[Station Name]],'GIS Exports'!$B:$B,'GIS Exports'!O:O)","v":"medium"},{"$f":"_xlfn.XLOOKUP(Existing_PR_GIS[[#This Row],[Station Name]],'GIS Exports'!$B:$B,'GIS Exports'!P:P)","v":"no"},{"$f":"_xlfn.XLOOKUP(Existing_PR_GIS[[#This Row],[Station Name]],'GIS Exports'!$B:$B,'GIS Exports'!Q:Q)","v":1.533E-2},{"$f":"_xlfn.XLOOKUP(Existing_PR_GIS[[#This Row],[Station Name]],'GIS Exports'!$B:$B,'GIS Exports'!R:R)","v":"high"},{"$f":"_xlfn.XLOOKUP(Existing_PR_GIS[[#This Row],[Station Name]],'GIS Exports'!$B:$B,'GIS Exports'!S:S)","v":10},{"$f":"_xlfn.XLOOKUP(Existing_PR_GIS[[#This Row],[Station Name]],'GIS Exports'!$B:$B,'GIS Exports'!T:T)","v":30.312588000000002},{"$f":"_xlfn.XLOOKUP(Existing_PR_GIS[[#This Row],[Station Name]],'GIS Exports'!$B:$B,'GIS Exports'!U:U)","v":74.32526},{"$f":"_xlfn.XLOOKUP(Existing_PR_GIS[[#This Row],[Station Name]],'GIS Exports'!$B:$B,'GIS Exports'!V:V)","v":7.6923079999999997},{"$f":"_xlfn.XLOOKUP(Existing_PR_GIS[[#This Row],[Station Name]],'GIS Exports'!$B:$B,'GIS Exports'!W:W)","v":"y"},{"$f":"_xlfn.XLOOKUP(Existing_PR_GIS[[#This Row],[Station Name]],'GIS Exports'!$B:$B,'GIS Exports'!X:X)","v":0},{"$f":"_xlfn.XLOOKUP(Existing_PR_GIS[[#This Row],[Station Name]],'GIS Exports'!$B:$B,'GIS Exports'!Y:Y)","v":"1 Suburban: Mid-corridor"},{"$f":"_xlfn.XLOOKUP(Existing_PR_GIS[[#This Row],[Station Name]],'GIS Exports'!$B:$B,'GIS Exports'!Z:Z)","v":0},{"$f":"_xlfn.XLOOKUP(Existing_PR_GIS[[#This Row],[Station Name]],'GIS Exports'!$B:$B,'GIS Exports'!AA:AA)","v":"1 Suburban: Mid-corridor"},{"$f":"_xlfn.XLOOKUP(Existing_PR_GIS[[#This Row],[Station Name]],'GIS Exports'!$B:$B,'GIS Exports'!AB:AB)","v":0},0.5,0,0,0,0,1,1,0,{"$f":"SUM(Existing_PR_GIS[[#This Row],[Weighted Pop. Density]:[Weighted Transit Access Score]])","v":2.5}]
[]
[]
["NOTE: Manually add existing stations in Column A, data auto populates, if new data columns are added to GIS export tab, then this tab columns and formulas need to be updated as well to insure correct column is being referenced"]

{"sheet":"Planning Data","index":6,"n_rows":2,"n_cols":31,"rows_kept":2,"cut":false,"hidden":false,"merged":[]}
["Station Name","Land use context notes","Projected Boardings ","Boardings/parked car","Pop Density","Employment Density (sq mile)","Job Density","Percent Poverty","Low Income Percentage","EFA","No vehicle households percentage","Vehicle Ownership","TDI","Walk Score","Bike Score","Transit Access Score","PandR","Option Buttom Existing","Assigned Typology","Column3","Reassigned Typologies","Typology notes","Weighted Pop. Density","Weighted Job Density","Weighted Income %","Weighted Vehicle Ownership","Weighted TDI","Weighted Walk Score","Weighted Bike Score","Weighted Transit Access Score","Total"]
["Planning Station",null,{"$f":"'P&R Planning Tool'!C15","v":600},{"$f":"'P&R Planning Tool'!C18","v":0},null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"'P&R Planning Tool'!E9","v":"1 Suburban: Mid-corridor"},{"$f":"_xlfn.XLOOKUP(Existing_PR_GIS8[[#This Row],[Station Name]],'GIS Exports'!$B:$B,'GIS Exports'!Z:Z)","v":{"$error":"#N/A"}},{"$f":"_xlfn.XLOOKUP(Existing_PR_GIS8[[#This Row],[Station Name]],'GIS Exports'!$B:$B,'GIS Exports'!AA:AA)","v":{"$error":"#N/A"}},{"$f":"_xlfn.XLOOKUP(Existing_PR_GIS8[[#This Row],[Station Name]],'GIS Exports'!$B:$B,'GIS Exports'!AB:AB)","v":{"$error":"#N/A"}},{"$f":"IF('P&R Planning Tool'!E15='Reference data'!A19,1,IF('P&R Planning Tool'!E15='Reference data'!A18,0.5,0))","v":0.5},{"$f":"IF('P&R Planning Tool'!E18='Reference data'!A24,1,IF('P&R Planning Tool'!E18='Reference data'!A23,0.5,0))","v":0.5},{"$f":"IF('P&R Planning Tool'!G12='Reference data'!A29,1,IF('P&R Planning Tool'!G12='Reference data'!A28,0.5,0))","v":0.5},{"$f":"IF('P&R Planning Tool'!G15='Reference data'!A34,1,IF('P&R Planning Tool'!G15='Reference data'!A33,0.5,0))","v":0.5},{"$f":"IF('P&R Planning Tool'!G18='Reference data'!A39,1,IF('P&R Planning Tool'!G18='Reference data'!A38,0.5,0))","v":0.5},{"$f":"IF('P&R Planning Tool'!I12='Reference data'!A44,2,IF('P&R Planning Tool'!I12='Reference data'!A43,1,0))","v":1},{"$f":"IF('P&R Planning Tool'!I15='Reference data'!A49,2,IF('P&R Planning Tool'!I15='Reference data'!A48,1,0))","v":2},{"$f":"IF('P&R Planning Tool'!I18='Reference data'!A54,2,IF('P&R Planning Tool'!I18='Reference data'!A53,1,0))","v":1},{"$f":"SUM(Existing_PR_GIS8[[#This Row],[Weighted Pop. Density]:[Weighted Transit Access Score]])","v":6.5}]

{"sheet":"Reference data","index":7,"n_rows":54,"n_cols":1,"rows_kept":54,"cut":false,"hidden":false,"merged":[]}
["Reference Data"]
[]
["Typologies"]
["1 Suburban: Mid-corridor"]
["2 Suburban: Transfer Location"]
["3 Suburban: Terminus"]
["4 Emerging Urban"]
["5 TOD"]
["6 Urban"]
[]
["Land Use Context*"]
[]
[]
[]
[]
["Population Density*"]
["Low - Under 2500/sq mi"]
["Medium - 2,500 – 5,000/sq mi"]
["High - Above 5,000/sq mi"]
[]
["Job Density (Jobs/sq mi)*"]
["Low - 0 - 10 / sq mile"]
["Medium - 50 - 250 / sq mile"]
["High - Over 250 / sq mile"]
[]
["Low Income %*"]
["Low"]
["Medium"]
["High"]
[]
["No Vehicle Ownership %*"]
["Low - 0 - 10%"]
["Medium - 11% - 30%"]
["High - Above 30%"]
[]
["Transit Dependency Index*"]
["Low - Below 10%"]
["Medium - 10 - 30%"]
["High - Above 40%"]
[]
["Walk Score*"]
["Low - Below 30"]
["Medium - 30 - 80"]
["High - Above 80"]
[]
["Bike Score*"]
["Low - Below 30"]
["Medium - 30 - 80"]
["High - Above 80"]
[]
["Transit Access Score*"]
["Low - Below 20"]
["Medium - 20 - 40"]
["High - Above 40"]

{"sheet":"Documentation","index":8,"n_rows":33,"n_cols":4,"rows_kept":33,"cut":false,"hidden":false,"merged":[[3,0,3,3],[4,0,4,3],[5,0,5,3],[6,0,6,3],[9,0,9,3]]}
["Data and calculation descriptions"]
[]
["Walk, Bike and Transit Access scores"]
["The walk, bike, and transit access scores were generated relative to all other existing Park and Ride station"]
["The walk scores were determined by generating 15 minute walksheds starting at the P&R station. The walkshed areas were compared to each other and the largest walkshed by area was scored 100 and the smallest walkshed was scored 0. Because these scores are relative to the other walksheds this data can be easily replaced with another method of measuring walkability, so long as the final walk score is ranked relative to all other stations."]
["The bike scores were determined by generating 15 minute bikesheds starting at the P&R station. The bikeshed areas were compared to each other and the largest bikeshed by area was scored 100 and the smallest bikeshed was scored 0. Because these scores are relative to the other bikesheds this data can be easily replaced with another method of measuring bikeability, so long as the final walk score is ranked relative to all other stations."]
["The transit access score were determined by the number of transit lines that connect to a given P&R station. The station that had the most different transit (FrontRunner, TRAX, and bus) lines scored 100, the station with the least lines (one) scored 0. Because these scores are relative to the transit access at all the other stations this methodology can be easily replaced with another way of measuring the transit access at each station, so long as the final scores are ranked relative to the other stations."]
[]
["Thresholds"]
["The thresholds for low (red), medium (yellow), high (green) were calculated to be the breaking point of thirds. All of stations regardless of typology were used to calculate the breaking points for the lower, middle, and upper third. For population density the breaking points are currently 4,211 and 2,704. This means that stations that have a population density above 4,211 rank highly on population density, stations with population density between 4,211 and 2,704 ranked medium, and stations with population density below 2,704 ranked low. These breaking point for rankings of each demographic would need to be updated whenever the demographic data is updated."]
[]
["Data Dictionary"]
["Data Entry Label","Data Description","Calculation","Source"]
["Station Name","Name given to park & ride transit station by UTA","From UTA","UTA 2023"]
["Population (1/2 mile radius)","The calculated census population within a half mile radius of the P&R station","Summarize within in ArcGIS of Census population data","American Community Survey"]
["Parking Utilization","The percent of parking spaces that are occupied in a designated P&R parking area during a peak period of estimated use. Data collected from UTA and should be easily updated when UTA has updated Park & Ride data.","From UTA","UTA 2023"]
["Land use context notes","Notes taken about the existing conditions surrounding the P&R station","Notes","Staff"]
["Current Parking Spaces","The number of designated P&R parking stalls. Data collected from UTA and should be easily updatable if conditions change.","Average utilization (as a percent) mulitplied by number of parking spaces","UTA 2023"]
["Current Boardings","Total average weekday boardings (including all modes) for a P&R station, data retrieved from UTA open data portal 'UTA Stops and Most Recent Ridership' and boardings summed for stops within immediate proximity of each other (for instance Salt Lake Central Station has multiple stops associated). Data can be updated with total of 'avgboard' for each P&R station.","Total boardings in immidiate proximity of station","UTA 2023"]
["Boardings/parked car","The average weekday boardings associated with a P&R station divided by the average number of vehicles parked in designated P&R stalls during a peak period of estimated use. This metric provides the average weekday boardings per the average number of cars in the peak period. A high number indicates that many people are boarding transit at this station without parking at the station, this would indicate that the parking supply is less impactful on the station ridership. ","Average weekday boardings divided by average number of parked cars","Calculation"]
["Pop Density","The population within a half mile radius converted to people per square mile to measure population density","Using summarize within in ArcGIS to get census population within a half mile radius of the P&R station divided by half mile radius area","American Community Survey"]
["Employment Density (per sq mile)","The number of jobs within a half mile radius of the P&R station and reported in a density format of jobs per square mile.","Employment density was calculated from a half mile buffer around P&R stations and using apportion polygon tool in ArcGIS to calculate the employment within the half mile buffer from TAZ 2024 job projections. ","American Community Survey"]
["Percent Poverty","The percent of the population surrounding the station that are below the federal poverty line","Poverty percentage was calculated using apportion polygon of a half mile buffer around P&R stations and poverty percentage of surrounding census blockgroup polygons","American Community Survey"]
["EFA","If the station is located within an Equity focus area","If station is within the boundary of an EFA then classified as yes","WFRC"]
["No vehicle households percentage","Percentage of households near the station that have no vehicle","No vehicle household percentage was calculated using apportion polygon of a half mile buffer around P&R stations and percentage of total households that are 0 vehicle households of surrounding census blockgroup polygons","American Community Survey"]
["TDI","Transit Dependency Index score","Average transit dependency index percentage of the census block groups surrounding the station","American Community Survey"]
["Walk Score","The walk scores were determined by generating 15 minute walksheds starting at the P&R station. The walkshed areas were compared to each other and the largest walkshed by area was scored 100 and the smallest walkshed was scored 0. Because these scores are relative to the other walksheds this data can be easily replaced with another method of measuring walkability, so long as the final walk score is ranked relative to all other stations.","Relative ranking of stations on a scale of 0 to 100, 0 being the worst and 100 being the best","GIS Walkshed analysis using network analyst tools"]
["Bike Score","The bike scores were determined by generating 15 minute bikesheds starting at the P&R station. The bikeshed areas were compared to each other and the largest bikeshed by area was scored 100 and the smallest bikeshed was scored 0. Because these scores are relative to the other bikesheds this data can be easily replaced with another method of measuring bikeability, so long as the final walk score is ranked relative to all other stations.","Relative ranking of stations on a scale of 0 to 100, 0 being the worst and 100 being the best","GIS Bikeshed analysis using network analyst tools"]
["Transit Access Score","The transit access score were determined by the number of transit lines that connect to a given P&R station. The station that had the most different transit (FrontRunner, TRAX, and bus) lines scored 100, the station with the least lines (one) scored 0. Because these scores are relative to the transit access at all the other stations this methodology can be easily replaced with another way of measuring the transit access at each station, so long as the final scores are ranked relative to the other stations.","Relative ranking of stations on a scale of 0 to 100, 0 being the worst and 100 being the best","UTA 2023"]
["PandR","Yes (Y) if the station is currently identifed as a P&R","Y if Park & Ride station","UTA 2023"]
["Option Buttom Existing","Internal calculation used by excel","Calculation","Calculation"]
["Reassigned Typologies","The typology assigned to the P&R as determined by Fehr and Peers staff consulting the data provided","Assessed available data","Staff"]
["Typology notes","For taking notes on the station and it's assigned typology","Notes","Staff"]