Exploring neighbourhood-level mobility inequity in Chicago using dynamic transportation mode choice profiles

This paper develops a method to dynamically model urban passenger mode trade-offs at fine-grained spatial and temporal scales using data from OpenTripPlanner (OTP) and the City of Chicago’s Transportation Network Providers (TNP) dataset. This approach can be used to calculate dynamic modal cost-dist...

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Auteurs principaux: Kevin Credit, Gustavo Dias, Brenda Li
Format: article
Langue:EN
Publié: Elsevier 2021
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Accès en ligne:https://doaj.org/article/25e607daeb394f53b03fb0e74ab35782
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