TY - JOUR
T1 - Characterizing metro stations via urban function
T2 - Thematic evidence from transit-oriented development (TOD) in Hong Kong
AU - Yu, Zidong
AU - Zhu, Xiaolin
AU - Liu, Xintao
N1 - Funding Information:
This research was partially supported by a grant 25203419 from Research Grants Council (RGC) Hong Kong and by a grant 1-BBWD from the Research Institute for Sustainable Urban Development , The Hong Kong Polytechnic University .
Publisher Copyright:
© 2022 Elsevier Ltd
PY - 2022/2
Y1 - 2022/2
N2 - The strategies using transit-oriented development (TOD) to optimize transportation sustainability have been implemented in many metropolitan areas and extended beyond the role of exclusively offering transit services. Research findings from existing literature have largely shown that metro station catchment areas can attract a substantial number of urban functions and human activities that lead metro stations to be vital and vibrant places of urban daily life. In this work, we propose a data-driven semantic framework to characterize metro stations through points of interest (POIs) in Hong Kong. The analytical results reveal four thematic topics of urban functions that are closely related to commercial, residential, tourism, and industrial activities. Given the implementation of a hierarchical clustering approach on these thematic topics, the similarities among different stations are investigated. In particular, metro stations in the same thematic group tend to be spatially concentrated, suggesting an evident geographical proximity relating to similar urban functions. Plus, results from the Multinomial Logit Model (MNLM) confirm that the surrounding built environment of metro stations has close relationships with the heterogeneity of urban functions. Ultimately, this study introduces alternative insights into the urban functional heterogeneity exhibited by metro station areas, and the practical implications for more targeted TOD strategies are discussed.
AB - The strategies using transit-oriented development (TOD) to optimize transportation sustainability have been implemented in many metropolitan areas and extended beyond the role of exclusively offering transit services. Research findings from existing literature have largely shown that metro station catchment areas can attract a substantial number of urban functions and human activities that lead metro stations to be vital and vibrant places of urban daily life. In this work, we propose a data-driven semantic framework to characterize metro stations through points of interest (POIs) in Hong Kong. The analytical results reveal four thematic topics of urban functions that are closely related to commercial, residential, tourism, and industrial activities. Given the implementation of a hierarchical clustering approach on these thematic topics, the similarities among different stations are investigated. In particular, metro stations in the same thematic group tend to be spatially concentrated, suggesting an evident geographical proximity relating to similar urban functions. Plus, results from the Multinomial Logit Model (MNLM) confirm that the surrounding built environment of metro stations has close relationships with the heterogeneity of urban functions. Ultimately, this study introduces alternative insights into the urban functional heterogeneity exhibited by metro station areas, and the practical implications for more targeted TOD strategies are discussed.
KW - Catchment area and built environment
KW - Human activity
KW - Transit-oriented development (TOD)
KW - Urban function
UR - http://www.scopus.com/inward/record.url?scp=85123943075&partnerID=8YFLogxK
U2 - 10.1016/j.jtrangeo.2022.103299
DO - 10.1016/j.jtrangeo.2022.103299
M3 - Journal article
AN - SCOPUS:85123943075
SN - 0966-6923
VL - 99
JO - Journal of Transport Geography
JF - Journal of Transport Geography
M1 - 103299
ER -