Shasha Tian

1. Research Questions & Background

Background: Rapid regional integration in the Pearl River Delta (PRD) increases the importance of transportation accessibility in shaping spatial structure.
Innovation: Extends traditional Space Syntax models to a regional multi-modal transportation network. Combines space syntax metrics, Points of Interest (POI) density, Pearson correlation analysis, and coupling coordination degree modeling.

2. Data & Methodology

Data: OpenStreetMap road/rail networks (railways, highways, national/provincial roads) and five categories of POI data (residential, financial, life services, tourism/leisure, and government institutions).
Methodology: Space Syntax Analysis (Global/Local Integration, Connectivity, Choice/Betweenness), Kernel Density Analysis, Moran’s I, Pearson Correlation Analysis, and Coupling Coordination Model.

3. Key Results

Accessibility: Transportation accessibility follows a distinct core-periphery structure across the PRD.

Accessibility–Land Use Relationship and Coupling Coordination:
Strongest coordination between accessibility and land-use intensity was found for tourism/leisure facilities and financial services, concentrated around core metropolitan nodes (e.g., central Guangzhou and Shenzhen). | Coupling Degree | High Coupling Area | Moderate-to-High Coupling Area | | :— | :— | :— | | Financial POI | Guangzhou City Center | Shenzhen City Center, Jiangmen City Center | | Tourism POI | Guangzhou City Center | Shenzhen, Jiangmen, Dongguan, Zhaoqing City Center | | Lifestyle POI | Guangzhou City Center | Shenzhen, Jiangmen, Foshan, Zhaoqing City Center | | Government POI | Guangzhou City Center | Conghua District (Guangzhou); Enping City (Jiangmen); Shenzhen, Dongguan, Huizhou, Zhongshan, Jiangmen City Center | | Residential POI | Guangzhou City Center | Shenzhen, Dongguan, Foshan, Zhuhai, and the vast majority of Zhongshan municipal area |