Assessing Park Accessibility Based on a Dynamic Huff Two-Step Floating Catchment Area Method and Map Service API

Park green space (PGS) is an important part of urban ecosystem and infrastructure, the ease access to PGS closely related health residents. A growing number studies have attempted identify accessibility disparities, but results varied because travel mode choice measurement method. This study proposes a dynamic Huff two-step floating catchment area (H2SFCA) method based on map service API (Application Programming Interface) assess PGS, with Gini coefficient bivariate local Moran’s I used analyze equity. Results show that: (1) driving biking modes more significant spatiotemporal compression effects than modes, public transit, walking mode. (2) The values spatial patterns vary significantly by availability pattern at level uneven distribution regional level. In comparison for single are likely be overestimated or underestimated. (3) generally has better equity residents can select suitable tools acquire equitable park services. addition, there difference between driving-based transit-based in four subdistricts, which mainly located south Tianhe District. transport facilities linking parks these areas need optimized. further improves evaluation method, findings conducive implementation refined planning management.