Evaluation of Sustainable Development Potential of High-Speed Railway Station Areas Based on "Node-Place-Industry" Model

被引:6
作者
Zou, Zhuojun [1 ]
Tang, Yiwen [2 ]
机构
[1] Cent South Univ, Sch Architecture & Art, 68 Shaoshan South Rd, Changsha 410075, Peoples R China
[2] Tongji Univ, Sch Architecture & Urban Planning, 1239 Siping Rd, Shanghai 200092, Peoples R China
关键词
node-place model; Beijing-Guangzhou high-speed railway; Shanghai-Kunming high-speed railway; HSR station area; potential evaluation; TRANSIT-ORIENTED DEVELOPMENT; LAND-USE; TRANSPORT; ACCESSIBILITY; CHINA; PERFORMANCE; SHANGHAI; IMPACTS; CITY;
D O I
10.3390/ijgi12090349
中图分类号
TP [自动化技术、计算机技术];
学科分类号
0812 ;
摘要
The development of the HSR station area is the result of the combined effect of the three elements of transport, place, and industry. This study introduces the industrial dimension and constructs the node-place-industry model to empirically analyze the development potential of station areas along the Hunan section of the Beijing-Guangzhou and the Shanghai-Kunming high-speed railway lines. The results show that (1) the development of the three spatial elements of the station area is mostly out of sync, and the node value has the highest fit with the integrated potential value of the station area; (2) there is a significant correlation between the magnitude of the combined potential of the station area and the site location, station class and time of development; (3) according to the results of the cluster analysis, it was found that most of the stations were in a state of disequilibrium, and the main reason was that the functional value of the place did not match with the value of industrial aggregation. In particular, the introduction of the industry dimension extends the NP model and establishes a tessellated analytical framework for station type classification, providing an interesting assessment tool for the sustainable development of transport hub areas.
引用
收藏
页数:26
相关论文
共 53 条
[1]   Traffic congestion patterns in the urban road network: (Dammam metropolitan area) [J].
Almatar, Khalid Mohammed .
AIN SHAMS ENGINEERING JOURNAL, 2023, 14 (03)
[2]  
Babb C., 2015, P AUSTR TRANSP RES F
[3]  
Bertolini Luca., 1999, Planning Practice and Research, V14, P199, DOI 10.1080/02697459915724
[4]   Economic growth, transport accessibility and regional equity impacts of high-speed railways in Italy: ten years ex post evaluation and future perspectives [J].
Cascetta, Ennio ;
Carteni, Armando ;
Henke, Ilaria ;
Pagliara, Francesca .
TRANSPORTATION RESEARCH PART A-POLICY AND PRACTICE, 2020, 139 :412-428
[5]   The impacts of high-speed trains on British economic geography: a study of the UK's InterCity 125/225 and its effects [J].
Chen, Chia-Lin ;
Hall, Peter .
JOURNAL OF TRANSPORT GEOGRAPHY, 2011, 19 (04) :689-704
[6]   Measuring the regional economic impacts of high-speed rail using a dynamic SCGE model: the case of China [J].
Chen, Zhenhua .
EUROPEAN PLANNING STUDIES, 2019, 27 (03) :483-512
[7]   Transport infrastructure and economic performance: An evaluation of the Milan-Bologna high-speed rail corridor [J].
Di Matteo, Dante ;
Mariotti, Ilaria ;
Rossi, Federica .
SOCIO-ECONOMIC PLANNING SCIENCES, 2023, 85
[8]   Intra-city access to inter-city transport nodes: The implications of high-speed-rail station locations for the urban development of Chinese cities [J].
Diao, Mi ;
Zhu, Yi ;
Zhu, Jiren .
URBAN STUDIES, 2017, 54 (10) :2249-2267
[9]   "Ghost cities" versus boom towns: Do China's high-speed rail new towns thrive? [J].
Dong, Lei ;
Du, Rui ;
Kahn, Matthew ;
Ratti, Carlo ;
Zheng, Siqi .
REGIONAL SCIENCE AND URBAN ECONOMICS, 2021, 89
[10]   Integrating Network Centrality and Node-Place Model to Evaluate and Classify Station Areas in Shanghai [J].
Dou, Mingxuan ;
Wang, Yandong ;
Dong, Shihai .
ISPRS INTERNATIONAL JOURNAL OF GEO-INFORMATION, 2021, 10 (06)