A spatial data model for urban spatial–temporal accessibility analysis

• Published in: Journal of geographical systems Vol. 22; no. 4; pp. 447 - 468
• Main Authors: Yin, Zhangcai, Jin, Zhanghaonan, Ying, Shen, Li, Sanjuan, Liu, Qingquan
• Format: Journal Article
• Language: English
• Published: Berlin/Heidelberg Springer Berlin Heidelberg 01.10.2020; Springer; Springer Nature B.V
• Subjects: Accessibility; Computer Appl. in Social and Behavioral Sciences; Constraints; Data models; Econometrics; Economics; Economics and Finance; Environment models; Geographic information systems; Geographical Information Systems/Cartography; Geography; Geospatial data; Landscape/Regional and Urban Planning; Object motion; Original; Original Article; Regional/Spatial Science; Spatial analysis; Spatial data; Travel; Urban Economics; Velocity; 2.200; Spatial data model; Time geography; Accessibility; Layer; Velocity
• ISSN: 1435-5930; 1435-5949
• DOI: 10.1007/s10109-020-00330-6

Time geography represents the uncertainty of the space–time position of moving objects through two basic structures, the space–time path and space–time prism, which are subject to the speed allowed in the travel environment. Thus, any attempt at a quantitative time-geographic analysis must consider the actual velocity with respect to space. In a trip, individuals tend to pass through structurally varying spaces, such as linear traffic networks and planar walking surfaces, which are not suitable for use in a single GIS spatial data model (i.e., network, raster) that is only applicable to a single spatial structure (i.e., point, line, polygon). In this study, a velocity model is developed for a traffic network and walking surface-constrained travel environment through the divide-and-conquer principle. The construction of this model can be divided into three basic steps: the spatial layering of the dual-constrained travel environment; independent modelling of each layer using different spatial data models; and generation of layer-based time-geographic framework by merging models of each layer. We demonstrate the usefulness of the model for studying the space–time accessibility of a moving object over a study area with varying spatial structures. Finally, an example is given to analyse the effectiveness of the proposed model.