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- Publisher Website: 10.1016/j.trd.2020.102561
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Article: How do high-speed rail projects affect the agglomeration in cities and regions?
Title | How do high-speed rail projects affect the agglomeration in cities and regions? |
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Authors | |
Keywords | Accessibility Agglomeration High-speed railway (HSR) Nighttime Light Data Transportation Infrastructure Urban Growth |
Issue Date | 2020 |
Citation | Transportation Research Part D: Transport and Environment, 2020, v. 88, article no. 102561 How to Cite? |
Abstract | High-speed Rail (HSR) is expected to act as catalyst for urban system restructuring for countries investing in HSR projects. This paper examines the research question regarding the HSR-agglomeration connection: to what extent does HSR spur the agglomeration of various economic activities from being near and far from the station? An analytical framework including a panel regression model, spatial autoregressive with additional autoregressive error structure (SARAR) model, and space-time autocorrelation sampling model are presented to investigate the spatiotemporal spillover effects of HSR projects on urban growth over time across cities and regions. The empirical analysis shows that, on one hand, county-level urban growth is associated with accessibility gains from HSR. On the other hand, the space-time autocorrelation patterns of NH counties decay steeply over 5 km within 3 months. The finding of this study provides policymakers with tailor-made planning strategies for connecting urban growth with HSR operations and planning. |
Persistent Identifier | http://hdl.handle.net/10722/333474 |
ISSN | 2023 Impact Factor: 7.3 2023 SCImago Journal Rankings: 2.328 |
ISI Accession Number ID |
DC Field | Value | Language |
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dc.contributor.author | Pan, Haozhi | - |
dc.contributor.author | Cong, Cong | - |
dc.contributor.author | Zhang, Xiaoling | - |
dc.contributor.author | Zhang, Yina | - |
dc.date.accessioned | 2023-10-06T05:19:39Z | - |
dc.date.available | 2023-10-06T05:19:39Z | - |
dc.date.issued | 2020 | - |
dc.identifier.citation | Transportation Research Part D: Transport and Environment, 2020, v. 88, article no. 102561 | - |
dc.identifier.issn | 1361-9209 | - |
dc.identifier.uri | http://hdl.handle.net/10722/333474 | - |
dc.description.abstract | High-speed Rail (HSR) is expected to act as catalyst for urban system restructuring for countries investing in HSR projects. This paper examines the research question regarding the HSR-agglomeration connection: to what extent does HSR spur the agglomeration of various economic activities from being near and far from the station? An analytical framework including a panel regression model, spatial autoregressive with additional autoregressive error structure (SARAR) model, and space-time autocorrelation sampling model are presented to investigate the spatiotemporal spillover effects of HSR projects on urban growth over time across cities and regions. The empirical analysis shows that, on one hand, county-level urban growth is associated with accessibility gains from HSR. On the other hand, the space-time autocorrelation patterns of NH counties decay steeply over 5 km within 3 months. The finding of this study provides policymakers with tailor-made planning strategies for connecting urban growth with HSR operations and planning. | - |
dc.language | eng | - |
dc.relation.ispartof | Transportation Research Part D: Transport and Environment | - |
dc.subject | Accessibility | - |
dc.subject | Agglomeration | - |
dc.subject | High-speed railway (HSR) | - |
dc.subject | Nighttime Light Data | - |
dc.subject | Transportation Infrastructure | - |
dc.subject | Urban Growth | - |
dc.title | How do high-speed rail projects affect the agglomeration in cities and regions? | - |
dc.type | Article | - |
dc.description.nature | link_to_subscribed_fulltext | - |
dc.identifier.doi | 10.1016/j.trd.2020.102561 | - |
dc.identifier.scopus | eid_2-s2.0-85092308727 | - |
dc.identifier.volume | 88 | - |
dc.identifier.spage | article no. 102561 | - |
dc.identifier.epage | article no. 102561 | - |
dc.identifier.isi | WOS:000591708800002 | - |