TY - JOUR
T1 - How do high-speed rail projects affect the agglomeration in cities and regions?
AU - Pan, Haozhi
AU - Cong, Cong
AU - Zhang, Xiaoling
AU - Zhang, Yina
PY - 2020/11
Y1 - 2020/11
N2 - 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.
AB - 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.
KW - Accessibility
KW - Agglomeration
KW - High-speed railway (HSR)
KW - Nighttime Light Data
KW - Transportation Infrastructure
KW - Urban Growth
KW - Accessibility
KW - Agglomeration
KW - High-speed railway (HSR)
KW - Nighttime Light Data
KW - Transportation Infrastructure
KW - Urban Growth
KW - Accessibility
KW - Agglomeration
KW - High-speed railway (HSR)
KW - Nighttime Light Data
KW - Transportation Infrastructure
KW - Urban Growth
UR - http://www.scopus.com/inward/record.url?scp=85092308727&partnerID=8YFLogxK
UR - https://www.scopus.com/record/pubmetrics.uri?eid=2-s2.0-85092308727&origin=recordpage
U2 - 10.1016/j.trd.2020.102561
DO - 10.1016/j.trd.2020.102561
M3 - RGC 21 - Publication in refereed journal
SN - 1361-9209
VL - 88
JO - Transportation Research Part D: Transport and Environment
JF - Transportation Research Part D: Transport and Environment
M1 - 102561
ER -