A graph-database approach to assess the impact of demand-responsive services on public transit accessibility-Reference-Cited by-同舟云学术

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A graph-database approach to assess the impact of demand-responsive services on public transit accessibility

Published:2022-11 Issue: Volume: Page:
ISSN:
Container-title:Proceedings of the 15th ACM SIGSPATIAL International Workshop on Computational Transportation Science
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Author:

Hasif Cathia Le¹,Araldo Andrea²,Dumbrava Stefania³,Watel Dimitri³

Affiliation:

1. Université d'Évry, France

2. Télécom SudParis, IP Paris, France

3. ENSIIE, IP Paris, France

Publisher

ACM

Link

https://dl.acm.org/doi/pdf/10.1145/3557991.3567798

Reference10 articles.

1. General Transit Feed Specification. https://gtfs.org/. General Transit Feed Specification. https://gtfs.org/.

2. Neo4j. https://neo4j.com/. Neo4j. https://neo4j.com/.

3. On the Importance of demand Consolidation in Mobility on Demand

4. A. Araldo Pooling for first and last mile: Integrating carpooling and transit. In hEART Conference , 2022 . A. Araldo et al. Pooling for first and last mile: Integrating carpooling and transit. In hEART Conference, 2022.

5. A. Badeanlou Assessing transportation accessibility equity via open data. In hEART Conference , 2022 . A. Badeanlou et al. Assessing transportation accessibility equity via open data. In hEART Conference, 2022.

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1. The 15 ^th ACM SIGSPATIAL International Workshop on Computational Transportation Science (IWCTS 2022), Seattle, WA, USA - November 1, 2022;SIGSPATIAL Special;2022-11

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