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Book Chapter: Transport Demand Management
Title | Transport Demand Management |
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Authors | |
Keywords | Autonomous vehicle E-society Information and Communication Technology Job-housing balanceTraffic congestion Traffic management |
Issue Date | 2021 |
Publisher | Elsevier |
Citation | Transport Demand Management. In Vickerman, R (Editor-in-Chief), International Encyclopedia of Transportation, v. 4, p. 537-543. Amsterdam: Elsevier, 2021 How to Cite? |
Abstract | Transport demand management (TDM), an approach different from the previously supply-oriented methods of alleviating traffic congestion, has been put into practice in countries across the world during the past decades. As congestion continues to worsen in big cities, it is important to summarize the categories, measures, and effects of commonly implemented TDM strategies, to better inform researchers and policy makers when tackling congestion. By raising and answering four fundamental questions about people's travel behavior, this chapter provides an overview of TDM with an international perspective, citing successful cases of TDM measures in different countries. Specifically, the role of information and communication technology is highlighted in enabling the current generation of TDM strategies, as well as its potential in bringing new challenges and opportunities to the field of TDM in the expected age of the autonomous driving. |
Persistent Identifier | http://hdl.handle.net/10722/300688 |
ISBN |
DC Field | Value | Language |
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dc.contributor.author | Zhang, F | - |
dc.contributor.author | Loo, BPY | - |
dc.date.accessioned | 2021-06-18T14:55:34Z | - |
dc.date.available | 2021-06-18T14:55:34Z | - |
dc.date.issued | 2021 | - |
dc.identifier.citation | Transport Demand Management. In Vickerman, R (Editor-in-Chief), International Encyclopedia of Transportation, v. 4, p. 537-543. Amsterdam: Elsevier, 2021 | - |
dc.identifier.isbn | 9780081026724 | - |
dc.identifier.uri | http://hdl.handle.net/10722/300688 | - |
dc.description.abstract | Transport demand management (TDM), an approach different from the previously supply-oriented methods of alleviating traffic congestion, has been put into practice in countries across the world during the past decades. As congestion continues to worsen in big cities, it is important to summarize the categories, measures, and effects of commonly implemented TDM strategies, to better inform researchers and policy makers when tackling congestion. By raising and answering four fundamental questions about people's travel behavior, this chapter provides an overview of TDM with an international perspective, citing successful cases of TDM measures in different countries. Specifically, the role of information and communication technology is highlighted in enabling the current generation of TDM strategies, as well as its potential in bringing new challenges and opportunities to the field of TDM in the expected age of the autonomous driving. | - |
dc.language | eng | - |
dc.publisher | Elsevier | - |
dc.relation.ispartof | International Encyclopedia of Transportation | - |
dc.subject | Autonomous vehicle | - |
dc.subject | E-society | - |
dc.subject | Information and Communication Technology | - |
dc.subject | Job-housing balanceTraffic congestion | - |
dc.subject | Traffic management | - |
dc.title | Transport Demand Management | - |
dc.type | Book_Chapter | - |
dc.identifier.email | Loo, BPY: bpyloo@hku.hk | - |
dc.identifier.authority | Loo, BPY=rp00608 | - |
dc.description.nature | link_to_subscribed_fulltext | - |
dc.identifier.doi | 10.1016/B978-0-08-102671-7.10380-X | - |
dc.identifier.hkuros | 322811 | - |
dc.identifier.volume | 4 | - |
dc.identifier.spage | 537 | - |
dc.identifier.epage | 543 | - |
dc.publisher.place | Amsterdam | - |