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Public Transit and Land Use relation

Statistically Analysis required for these tables below, by making any of statistical tests for each of them and then analysis the results then writing the report about it and declaring the answers of these two questions by detail.

  • Why do some intra-urban areas attract more transit riders than others?
  • What types of neighborhoods may induce greater transit demand?

1-    These data obtained from the www.walkscore.com for both places (A and B ).

Data from www.walkscore.com
PlaceDescription of PlaceWalk ScoreTransit ScoreBike Score
ACommercial area, close to downtown918981
BResidential area, 20 mile from Downtown754569

2-      These data obtained from the analyzing the amount of ridership on the one of the routs for bus transit, about 4 bus station ( 1,2 from residential area, and 3,4 commercial area close to Downtown ), ON s mean people rides bus in bus stations, and OFFs mean people drop off from bus in these stations, and the numbers are for ridership’s.

Ridership Vs Locations 1,2,3 and 4
Residential area, Far from DowntownCommercial area, so close to downtown
1234
ON s17311932821477
OFFs3666946900612669
  • These data obtained from the analyzing the amount of ridership on the one of the routs for bus transit, for only 2 bus station ( A residential area, and B is commercial area close to downtown ), ON s mean people rides bus in stations, and OFFs mean people drop off from bus in these stations, and the numbers are for ridership’s in weekends and workdays at a period of entire month Nov. 2014.
WeekendWorkday
PlaceON sOFF sON sOFF s
A42643214532138
B19424885048366

 

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