University of Illinois Urbana-Champaign

A New Way to Measure Access to Jobs: Measuring difficulty of commuting with crowdsourced traffic data and GTFS

Kim, Junghwan

Content Files
Kim_Junghwan-Capstone Poster.pdf

Permalink

https://hdl.handle.net/2142/103841

Description

Title
A New Way to Measure Access to Jobs: Measuring difficulty of commuting with crowdsourced traffic data and GTFS
Author(s)
Kim, Junghwan
Contributor(s)
Lee, Bumsoo
Issue Date
2018
Keyword(s)
  • job accessibility
  • crowdsourced traffic data
Date of Ingest
2019-05-15T21:17:40Z
Geographic Coverage
Chicago, Illinois region
Abstract
Job Accessibility measures how easily an individual can overcome travel barriers and physically reach job opportunities. However, previous JA measures have used inaccurate auto travel time. Also they have not considered travel attributes that significantly affect difficulty of commute by transit. This study used crowdsourced traffic data to get actual travel time and conduct Dijkstra's algorithm to compute the transit travel attributes. The refined JA measurements showed unique and detail spatial patterns that were not revealed by previous JA measurements.
Series/Report Name or Number
MUP Capstone
Type of Resource
image
Permalink
http://hdl.handle.net/2142/103841

Owning Collections

Research and Projects – Master’s in Urban Planning PRIMARY