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Bus Stop Proximity Study An Application of Geographic Information Systems. Adam Parast Kendra Hartstrom April Pust Sean Liner. Objectives. Analyze population density along selected Metro bus routes

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bus stop proximity study an application of geographic information systems

Bus Stop Proximity StudyAn Application of Geographic Information Systems

Adam Parast

Kendra Hartstrom

April Pust

Sean Liner

objectives
Objectives
  • Analyze population density along selected Metro bus routes
  • Use this data to determine the number of people who live within a five minute walk of a bus stop or five minute drive of a park and ride
data used
Data Used

All data used was for King County and the layers included:

  • Population density
  • Bus route locations
  • Park and Ride locations
  • Bus stop locations
analysis
Analysis

The following steps were taken to complete this analysis:

  • Bus stop data was related to route data
  • Buffers were created around the intersections of bus routes and bus stops
  • Two separate proximity buffers were created
    • Within 5 minute walk of a bus stop
    • Within 5 mile drive of a Park and Ride
  • Using the population density and buffer area, the population along each bus route was determined
results and conclusions
Results and Conclusions
  • Populations were determined for Metro’s 49, 255, 554, 101, and 358 routes. This data is shown in the table below.
results and conclusions1
Results and Conclusions
  • The 255 had the highest population along it’s route with 184,356 people. However, it stops at 6 Park and Rides (the most of any of the selected routes)
  • The 49 had the lowest population with nearly 70,000 people, but stops at zero Park and Rides along it’s route.