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

Kim, Junghwan

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

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

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

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