Transit-Oriented Development in New Towns: Identifying Its Association with Urban Function in Shanghai, China

被引:11
作者
Zhang, Lingzhu [1 ,2 ]
Hou, Peng [1 ]
Qiang, Dan [1 ,2 ]
机构
[1] Tongji Univ, Coll Architecture & Urban Planning, Shanghai 200092, Peoples R China
[2] Tongji Univ, Key Lab Ecol & Energy Saving Study Dense Habitat, Shanghai 200092, Peoples R China
基金
中国国家自然科学基金;
关键词
transit-oriented development (TOD); new town; urban function; multi-sourced urban data; metro station; NODE-PLACE MODEL; METRO STATION AREAS; LAND-USE; TOD; INTEGRATION; TRANSPORT; TYPOLOGY; CITIES; MOBILITY; DENSITY;
D O I
10.3390/buildings12091394
中图分类号
TU [建筑科学];
学科分类号
0813 ;
摘要
Transit-oriented development (TOD) construction is considered critical for economic growth and the population's daily well-being in suburban development. However, there are few empirical evaluations of TOD performance and typology in suburban areas of high-density cities. In this study, we selected 23 metro stations in the five new towns in Shanghai as research objects to understand their TOD characteristics. By proposing a data-driven framework built on points of interest (PoIs) to characterize urban functions of metro stations in new towns, four thematic topic functions were extracted by implementing Latent Dirichlet Allocation (LDA) topic modeling. Five types of stations were revealed through a hierarchical cluster analysis based on their main functions. Then, an extended "Node-Place" model with a third "design" dimension was applied to classify TOD typologies. After establishing an evaluation framework by calculating the results of 15 indicators, five TOD topologies were identified through hierarchical cluster analysis. In addition, results from the ANOVA analysis showed that the classification according to thematic topics changes according to the "place" dimension indicators. Ultimately, the identified urban thematic function types and TOD types provide a useful tool for planners and governors to diagnose common problems and design targeted strategies in new towns.
引用
收藏
页数:25
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