Commuting behavior;
Built environment;
Interactions;
Social ecological model;
Urban rail transit;
TRAVEL MODE CHOICE;
LAND-USE;
CAR OWNERSHIP;
STATION AREAS;
URBAN FORM;
IMPACT;
RESIDENTS;
POLICIES;
SUBURBS;
TOD;
D O I:
10.1016/j.heliyon.2023.e21788
中图分类号:
O [数理科学和化学];
P [天文学、地球科学];
Q [生物科学];
N [自然科学总论];
学科分类号:
07 ;
0710 ;
09 ;
摘要:
A deep understanding of the underlying mechanisms of the built environment on commuting behavior along with rail transit is considered of great importance for both TOD land use and formulation of transport policies. The impact of the built environmental factors on commuting behavior has been already explored in the literature. However, the main focus has been laid on the separate effects of each factor and the interactions among these factors have been neglected. Along these lines, taking Hefei, China as the case, this work filled this gap by employing a social ecological model to systematically investigate the interactive effects of the built environment and urban rail transit on commuting behavior. From our analysis, it was demonstrated that land-use intensity was negatively correlated with car commuting, and mixed land use was positively related to metro commuting. Additionally, rail access near the workplace plays a key role in reducing car commuting than residential neighborhoods. This work revealed also some inter-esting findings on the association between rail transit and commuting behavior, which were significantly affected by land use intensity and mixed land-use. Our work provides valuable in-sights for the TOD land use to effectively reduce car commuting.
机构:
Beijing Jiaotong Univ, Key Lab Transport Ind Big Data Applicat Technol C, Beijing 100044, Peoples R ChinaBeijing Jiaotong Univ, Key Lab Transport Ind Big Data Applicat Technol C, Beijing 100044, Peoples R China
Wang, Xiaoquan
Shao, Chunfu
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机构:
Beijing Jiaotong Univ, Key Lab Transport Ind Big Data Applicat Technol C, Beijing 100044, Peoples R ChinaBeijing Jiaotong Univ, Key Lab Transport Ind Big Data Applicat Technol C, Beijing 100044, Peoples R China
Shao, Chunfu
Yin, Chaoying
论文数: 0引用数: 0
h-index: 0
机构:
Nanjing Forestry Univ, Coll Automobile & Traff Engn, Nanjing, Peoples R ChinaBeijing Jiaotong Univ, Key Lab Transport Ind Big Data Applicat Technol C, Beijing 100044, Peoples R China
Yin, Chaoying
Dong, Chunjiao
论文数: 0引用数: 0
h-index: 0
机构:
Beijing Jiaotong Univ, Key Lab Transport Ind Big Data Applicat Technol C, Beijing 100044, Peoples R ChinaBeijing Jiaotong Univ, Key Lab Transport Ind Big Data Applicat Technol C, Beijing 100044, Peoples R China
机构:
Nanjing Forestry Univ, Coll Automobile & Traff Engn, Nanjing 210037, Peoples R ChinaNanjing Forestry Univ, Coll Automobile & Traff Engn, Nanjing 210037, Peoples R China
Yin, Chaoying
Wang, Xiaoquan
论文数: 0引用数: 0
h-index: 0
机构:
Hohai Univ, Coll Civil & Transportat Engn, Nanjing 210098, Peoples R ChinaNanjing Forestry Univ, Coll Automobile & Traff Engn, Nanjing 210037, Peoples R China
Wang, Xiaoquan
Shao, Chunfu
论文数: 0引用数: 0
h-index: 0
机构:
Beijing Jiaotong Univ, Key Lab Transport Ind Big Data Applicat Technol C, Beijing 100044, Peoples R ChinaNanjing Forestry Univ, Coll Automobile & Traff Engn, Nanjing 210037, Peoples R China
Shao, Chunfu
Ma, Jianxiao
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h-index: 0
机构:
Nanjing Forestry Univ, Coll Automobile & Traff Engn, Nanjing 210037, Peoples R ChinaNanjing Forestry Univ, Coll Automobile & Traff Engn, Nanjing 210037, Peoples R China
机构:
Univ Lisbon, Fac Architecture, CIAUD, Rua Sa Nogueira, P-1349055 Lisbon, PortugalUniv Lisbon, Fac Architecture, CIAUD, Rua Sa Nogueira, P-1349055 Lisbon, Portugal
Vale, David Sousa
Pereira, Mauro
论文数: 0引用数: 0
h-index: 0
机构:
Univ Lisbon, Fac Architecture, CIAUD, Rua Sa Nogueira, P-1349055 Lisbon, PortugalUniv Lisbon, Fac Architecture, CIAUD, Rua Sa Nogueira, P-1349055 Lisbon, Portugal