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Accessibility Assessment of Buildings Based on Multi-Source Spatial Data: Taking Wuhan as a Case Study
| Content Provider | MDPI |
|---|---|
| Author | Yang, Xue Cao, Yanjia Wu, Anqi Guo, Mingqiang Dong, Zhen Tang, Luliang |
| Copyright Year | 2021 |
| Description | The question of whether each building of housing estate has equal access to nearby social service resources (e.g., public transportation service, catering, entertainment, etc.) is a major concern of citizens. This paper takes Wuhan as a case to explore the equality in social service resource sharing of the housing estate at a microscopic level by analyzing the accessibility of each building under different travel patterns. To estimate the accessibility of each building, we developed a novel model with multi-travel modes and residential suitability evaluation of residents. The specific values of the parameters involved in the proposed model were extracted from the multi-source spatial data such as social media data, census data, point of interest, and road network data. These data were acquired from multiple platforms, e.g., Gaode map, OSM (OpenStreetMap), and GeoQ. We chose three types of districts in the city of Wuhan, including the old central district, new central district, and suburban district. We applied the proposed model to assess the accessibility of communities in these districts. Based on the results, we further analyzed whether and to what extent the distribution of each building in urban communities is equitable for social service resource sharing in China. |
| Starting Page | 701 |
| e-ISSN | 22209964 |
| DOI | 10.3390/ijgi10100701 |
| Journal | ISPRS International Journal of Geo-Information |
| Issue Number | 10 |
| Volume Number | 10 |
| Language | English |
| Publisher | MDPI |
| Publisher Date | 2021-10-14 |
| Access Restriction | Open |
| Subject Keyword | ISPRS International Journal of Geo-Information Isprs International Journal of Geo-information Information and Library Science Housing Estate Equality Analysis Urban Community Accessibility Measurement Multi-source Spatial Data |
| Content Type | Text |
| Resource Type | Article |
