Ride‐pooling in the light of COVID‐19: Determining spatiotemporal demand characteristics on the example of MOIA-Reference-Cited by-同舟云学术

Ride‐pooling in the light of COVID‐19: Determining spatiotemporal demand characteristics on the example of MOIA

Published:2022-10-11 Issue: Volume: Page:
ISSN:1751-956X
Container-title:IET Intelligent Transport Systems
language:en
Short-container-title:IET Intelligent Trans Sys

Author:

Zwick Felix¹²^ORCID,Fraedrich Eva²,Axhausen Kay W.¹

Affiliation:

1. Institute for Transport Planning and Systems ETH Zurich Zurich Switzerland

2. MOIA GmbH Hamburg Germany

Publisher

Institution of Engineering and Technology (IET)

Subject

Law,Mechanical Engineering,General Environmental Science,Transportation

Link

https://onlinelibrary.wiley.com/doi/pdf/10.1049/itr2.12293

Reference52 articles.

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2. Hamburg: DIGITISING TRANSPORT Hamburg's ITS Strategy:Providing Future Urban Mobility and Logistics Solutions.Freie und Hansestadt Hamburg; Behörde für Wirtschaft Verkehr und Innovation; Amt Verkehr und Straßenwesen Hamburg (2019)

3. The potential of ride-pooling in VKT reduction and its environmental implications

4. Agent‐based simulation of city‐wide autonomous ride‐pooling and the impact on traffic noise;Zwick F.;Transport. Res. Part D: Transport Environ.,2021

5. Foljanty L.:Mapping the global on‐demand ridepooling market(2020).https://medium.com/@lukas.foljanty/mapping‐the‐global‐on‐demand‐ridepooling‐market‐f8318de1c030

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