Abstract
Various qualities of transit services, including travel time, frequency, and the presence of alternative paths, affect accessibility—how easily passengers can reach their destinations by transit. Traditional accessibility metrics, such as gravity-type and cumulative-opportunity indices, rely exclusively on travel time as a proxy for travel impedance, failing to consider other qualities of transit services. This study develops a comprehensive transit-based job accessibility index that accounts for the number of feasible alternative routes and their frequency in addition to in-vehicle and out-of-vehicle travel times. It uses the General Transit Feed Specification (GTFS)data and Dijkstra's shortest path algorithm to compute these components of tract-to-tract transit trips in the Chicago Metropolitan Statistical Area (MSA). We demonstrate that conventional accessibility indices considering only gross travel time overestimate job accessibility in the job rich downtown area and suburban train hubs, while they tend to underestimate job accessibility in places mainly served by a suburban bus system. Logistic regression analysis shows that our refined job accessibility measure explains the likelihood of transit commute considerably better than conventional measures.
| Original language | English (US) |
|---|---|
| Pages (from-to) | 8-18 |
| Number of pages | 11 |
| Journal | Journal of Transport Geography |
| Volume | 78 |
| DOIs | |
| State | Published - Jun 2019 |
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Keywords
- Accessibility
- General Transit Feed Specification (GTFS)
- Public transit
- Transit service quality
- Travel impedance
ASJC Scopus subject areas
- Geography, Planning and Development
- Transportation
- Environmental Science(all)
Cite this
More than travel time : New accessibility index capturing the connectivity of transit services. / Kim, Junghwan; Lee, Bumsoo.
In: Journal of Transport Geography, Vol. 78, 06.2019, p. 8-18.Research output: Contribution to journal › Article
}
TY - JOUR
T1 - More than travel time
T2 - New accessibility index capturing the connectivity of transit services
AU - Kim, Junghwan
AU - Lee, Bumsoo
PY - 2019/6
Y1 - 2019/6
N2 - Various qualities of transit services, including travel time, frequency, and the presence of alternative paths, affect accessibility—how easily passengers can reach their destinations by transit. Traditional accessibility metrics, such as gravity-type and cumulative-opportunity indices, rely exclusively on travel time as a proxy for travel impedance, failing to consider other qualities of transit services. This study develops a comprehensive transit-based job accessibility index that accounts for the number of feasible alternative routes and their frequency in addition to in-vehicle and out-of-vehicle travel times. It uses the General Transit Feed Specification (GTFS)data and Dijkstra's shortest path algorithm to compute these components of tract-to-tract transit trips in the Chicago Metropolitan Statistical Area (MSA). We demonstrate that conventional accessibility indices considering only gross travel time overestimate job accessibility in the job rich downtown area and suburban train hubs, while they tend to underestimate job accessibility in places mainly served by a suburban bus system. Logistic regression analysis shows that our refined job accessibility measure explains the likelihood of transit commute considerably better than conventional measures.
AB - Various qualities of transit services, including travel time, frequency, and the presence of alternative paths, affect accessibility—how easily passengers can reach their destinations by transit. Traditional accessibility metrics, such as gravity-type and cumulative-opportunity indices, rely exclusively on travel time as a proxy for travel impedance, failing to consider other qualities of transit services. This study develops a comprehensive transit-based job accessibility index that accounts for the number of feasible alternative routes and their frequency in addition to in-vehicle and out-of-vehicle travel times. It uses the General Transit Feed Specification (GTFS)data and Dijkstra's shortest path algorithm to compute these components of tract-to-tract transit trips in the Chicago Metropolitan Statistical Area (MSA). We demonstrate that conventional accessibility indices considering only gross travel time overestimate job accessibility in the job rich downtown area and suburban train hubs, while they tend to underestimate job accessibility in places mainly served by a suburban bus system. Logistic regression analysis shows that our refined job accessibility measure explains the likelihood of transit commute considerably better than conventional measures.
KW - Accessibility
KW - General Transit Feed Specification (GTFS)
KW - Public transit
KW - Transit service quality
KW - Travel impedance
UR - http://www.scopus.com/inward/record.url?scp=85066024667&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=85066024667&partnerID=8YFLogxK
U2 - 10.1016/j.jtrangeo.2019.05.008
DO - 10.1016/j.jtrangeo.2019.05.008
M3 - Article
AN - SCOPUS:85066024667
VL - 78
SP - 8
EP - 18
JO - Journal of Transport Geography
JF - Journal of Transport Geography
SN - 0966-6923
ER -