Spatially-oriented data, methods, and models to plan transit for reverse commuters

Davidson, Joshua; Feiglin, Ilil; Ryerson, Megan S.

doi:10.1016/j.trd.2021.103051

Cited by 4 publications

(3 citation statements)

References 74 publications

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“…We first identify reverse commute O-D pairs in Philadelphia that travel only within Pennsylvania counties of the Philadelphia metropolitan statistical area, using US Census Longitudinal Employer Household Dynamics (LEHD) data based on criteria described in previous work (Davidson, Feiglin, and Ryerson 2021;Davidson and Ryerson 2018). The analytic dataset contains 68,068 unique, reverse commute O-D observations when measured at the census tract level.…”

Section: Methodsmentioning

confidence: 99%

“…In this paper, we advance the framework of a spatial coverage ratio for transit (Cha and Murray 2020;Murray 2001;Murray et al 1998) to describe generalized access to one seat service while accounting for the localized presence of realized reverse commutes -commutes from an urban home/origin to a suburban workplace/destination -as described by administrative origin and destination (O-D) data (Davidson, Feiglin, and Ryerson 2021). In doing so, we indicate areas with a paucity of one-seat service as compared to demand and highlight areas for future intervention.…”

Section: Questionsmentioning

confidence: 99%

“…To illustrate this new coverage ratio and ranking approach, we build on previous work and look specifically at the case study of the reverse commuting population in Philadelphia (Davidson, Feiglin, and Ryerson 2021;Davidson and Ryerson 2018). This analysis of reverse commutes is one application of the proposed method that can be adjusted to different commute patterns and locations.…”

Section: Questionsmentioning

confidence: 99%

See 2 more Smart Citations

A One-seat Ride Coverage Ratio using Administrative Origin Destination Data

Davidson¹,

Feiglin²,

Ryerson³

2023

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Much remains to be known about the geographic areas in regions that are well (or poorly) served by one-seat transit – direct service where users do not need to conduct transfers. We describe geographic access to one-seat service, by advancing the framework of a spatial coverage ratio for transit when accounting for commuter flows as reflected in administrative origin-destination data. Our methodology integrates relatively simple spatial approaches with open data, allowing transit providers to modulate thresholds for one-seat service. In doing so, operators can develop new priority areas for intervention and line adaptation.

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Section: Methodsmentioning

confidence: 99%