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Quantitative Evaluation of TOD Performance Based on Multi-Source Data: A Case Study of Shanghai
Dan Qiang1,2, Lingzhu Zhang1,2, Xiaotong Huang1
1Department of Architecture, College of Architecture and Urban Planning, Tongji University, Shanghai, China.
Frontiers in Public Health
|March 10, 2022
Summary
This study offers a comprehensive method to measure transit-oriented development (TOD) performance using transportation, pedestrian accessibility, and urban development data. Findings show population density strongly correlates with metro ridership, guiding better urban planning.
Area of Science:
- Urban Planning and Transportation Science
- Geographic Information Systems (GIS) and Spatial Analysis
- Sustainable Urban Development
Background:
- Transit-oriented development (TOD) is a key urban planning strategy integrating transit and land use.
- Existing TOD studies often lack comprehensive analysis across transportation (T), pedestrian accessibility (O), and urban development (D) dimensions.
- Emerging urban datasets and technologies enable more refined quantification of metro station area characteristics.
Purpose of the Study:
- To develop an efficient and comprehensive approach for measuring TOD performance.
- To analyze TOD characteristics across T, O, and D dimensions for 347 metro stations in Shanghai.
- To provide a data-driven methodology for pedestrian-oriented TOD planning.
Main Methods:
- Combined traditional, high-resolution open, and innovative data sources for large-scale analysis.
- Selected fifteen indicators across T, O, and D dimensions to categorize TOD performance into five clusters.
- Utilized radar charts, boxplots, and colored maps for quantitative visualization and correlation analysis.
Main Results:
- TOD performance was categorized into five clusters, with Cluster 4 predominantly located in the center of Shanghai's Five New Towns.
- Transportation (T) indicators showed the strongest correlation with daily ridership, followed by pedestrian accessibility (O) and urban development (D).
- Ridership per capita was significantly influenced by resident density, employment density, O, and D values, with population density showing a strong correlation (R=0.658 weekdays, R=0.654 weekends).
Conclusions:
- The study presents a renewed node-place method and 5Ds framework using novel datasets and analysis tools.
- Findings emphasize the pivotal role of population density in driving metro ridership.
- The developed methodology offers valuable insights for urban planners and policymakers in creating pedestrian-oriented TOD.
Keywords:
TOD performancemulti-source urban datapedestrian-orientedstation-city integrationtransit-oriented development (TOD)More Related Videos
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