Impact of spatio-temporal changes of the built environment on taxi trips - a comparison before and during the pandemic

被引:0
作者
Nian, Guangyue [1 ]
Pan, Haixiao [1 ]
Sun, Daniel [2 ,3 ]
机构
[1] Tongji Univ, Coll Architecture & Urban Planning, Dept Urban Planning, Shanghai 200092, Peoples R China
[2] Changan Univ, Sch Future Transportat, Xian, Peoples R China
[3] Shanghai Jiao Tong Univ, China Inst Urban Governance, Shanghai, Peoples R China
关键词
Taxi trip; built environment; spatial econometric model; intertemporal effect; transport planning; SOCIOECONOMIC-FACTORS; URBAN TRANSPORT; TRAVEL; EMISSIONS; COVID-19; DEMAND; MODEL; CITY;
D O I
10.1080/03081060.2025.2510970
中图分类号
U [交通运输];
学科分类号
08 ; 0823 ;
摘要
This paper investigates the changes in the built environment on the drivers of taxi trips during special periods. Based on the division of the Spatial Research Unit and the calculation of built environment indicators, SARAR (Spatial Autoregressive Model with Spatial Autoregressive Disturbances) models were constructed to analyze the differences in the impact of the built environment on taxi trips during normal and pandemic periods. The results show that taxi trips changed significantly in visible spatio-temporal dimensions after the pandemic; meanwhile, the drivers of taxi trips changed significantly. During the pandemic, the impact of the non-essential residential built environment on taxi trips decreased. Commuting behaviour consistently has a low impact on taxi trips, while health services consistently depend on taxi trips. Taxis demonstrate a complementary relationship with the metro system and a competitive relationship with buses. The findings of this study may have significant implications for urban transportation planning and management.
引用
收藏
页数:25
相关论文
共 52 条
[1]   Spatial externalities, spatial multipliers, and spatial econometrics [J].
Anselin, L .
INTERNATIONAL REGIONAL SCIENCE REVIEW, 2003, 26 (02) :153-166
[2]   Exploring spatiotemporal patterns and influencing factors of ridesourcing and traditional taxi usage using geographically and temporally weighted regression method [J].
Bao, Jie ;
Wang, Zongbo ;
Yang, Zhao ;
Shan, Xiaoxuan .
TRANSPORTATION PLANNING AND TECHNOLOGY, 2023, 46 (03) :263-285
[3]  
Beijing Transport Institute (BTI), 2020, 2020 Beijing Transport Development Annual Report
[4]   Estimating spatio-temporal variations of taxi ridership caused by Hurricanes Irene and Sandy: A case study of New York City [J].
Bian, Ruijie ;
Wilmot, Chester G. ;
Wang, Ling .
TRANSPORTATION RESEARCH PART D-TRANSPORT AND ENVIRONMENT, 2019, 77 :627-638
[5]   Land use and transportation in China [J].
Cao, Xinyu .
TRANSPORTATION RESEARCH PART D-TRANSPORT AND ENVIRONMENT, 2017, 52 :423-427
[6]   The relationship between the built environment and nonwork travel: A case study of Northern California [J].
Cao, Xinyu ;
Mokhtarian, Patricia L. ;
Handy, Susan L. .
TRANSPORTATION RESEARCH PART A-POLICY AND PRACTICE, 2009, 43 (05) :548-559
[7]   Mixed land-uses and commuting: Evidence from the American housing survey [J].
Cervero, R .
TRANSPORTATION RESEARCH PART A-POLICY AND PRACTICE, 1996, 30 (05) :361-377
[8]   Linking urban transport and land use in developing countries [J].
Cervero, Robert .
JOURNAL OF TRANSPORT AND LAND USE, 2013, 6 (01) :7-24
[9]   Examining the spatial-temporal relationship between urban built environment and taxi ridership: Results of a semi-parametric GWPR model [J].
Chen, Chao ;
Feng, Tao ;
Ding, Chuan ;
Yu, Bin ;
Yao, Baozhen .
JOURNAL OF TRANSPORT GEOGRAPHY, 2021, 96
[10]   Understanding City-Wide Ride-Sourcing Travel Flow: A Geographically Weighted Regression Approach [J].
Chen, Chuqiao ;
Hu, Simon ;
Ochieng, Washington Y. ;
Xie, Na ;
Chen, Xiqun .
JOURNAL OF ADVANCED TRANSPORTATION, 2021, 2021