TY - GEN
T1 - Unraveling the Spatiotemporal Development Regularities of Metro-Led Underground Space in China Based on Multisource Data
AU - Dong, Yun Hao
AU - Peng, Fang Le
AU - Bobylev, Nikolai
N1 - Publisher Copyright:
© The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd. 2024.
PY - 2024
Y1 - 2024
N2 - Metro-led underground space (MUS) use has gained unprecedented popularity in China over the past decade. Empirical studies indicated that the development of MUS, which primarily aligns with transit-oriented development, is likely to boost urban vitality, enhance spatial efficiency, and optimize spatial configuration. However, the development regularities remain unclear for MUS in high-density built environment of Chinese cities, resulting in a lack of theoretical foundation for MUS planning. To bridge the research gap, we adopted a set of spatial statistics techniques and formulated a quantitative indicator system to decipher the underpinning patterns of MUS use based on multisource big data. We probed into the driving forces of MUS in China at multiscale from a spatiotemporal perspective. Finally, the driving patterns of MUS in different spatiotemporal conditions were identified and compared in a systematic manner. The study provides insights into the increasingly growing MUS use, and supports the optimization of planning theory for MUS in China.
AB - Metro-led underground space (MUS) use has gained unprecedented popularity in China over the past decade. Empirical studies indicated that the development of MUS, which primarily aligns with transit-oriented development, is likely to boost urban vitality, enhance spatial efficiency, and optimize spatial configuration. However, the development regularities remain unclear for MUS in high-density built environment of Chinese cities, resulting in a lack of theoretical foundation for MUS planning. To bridge the research gap, we adopted a set of spatial statistics techniques and formulated a quantitative indicator system to decipher the underpinning patterns of MUS use based on multisource big data. We probed into the driving forces of MUS in China at multiscale from a spatiotemporal perspective. Finally, the driving patterns of MUS in different spatiotemporal conditions were identified and compared in a systematic manner. The study provides insights into the increasingly growing MUS use, and supports the optimization of planning theory for MUS in China.
KW - Metro-led underground space (MUS)
KW - Multiscale analysis
KW - Spatiotemporal development regularities
UR - https://www.scopus.com/pages/publications/105000220252
U2 - 10.1007/978-981-97-1257-1_158
DO - 10.1007/978-981-97-1257-1_158
M3 - Conference contribution
AN - SCOPUS:105000220252
SN - 9789819712564
T3 - Lecture Notes in Civil Engineering
SP - 1189
EP - 1191
BT - Proceedings of the 18th Conference of the Associated Research Centers for the Urban Underground Space, ACUUS 2023
A2 - Wu, Wei
A2 - Zhou, Yingxin
A2 - Leung, Chun Fai
A2 - Li, Xiaozhao
T2 - 18th Conference of the Associated Research Centers for the Urban Underground Space, ACUUS 2023
Y2 - 1 November 2023 through 4 November 2023
ER -