- Zhangcai Yin1,
- Zhanghaonan Jin1,
- Shen Ying ORCID:orcid.org/0000-0001-8066-92032,
- Sanjuan Li1 &
- …
- Qingquan Liu3
4151Accesses
10Citations
Abstract
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.
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Acknowledgements
The authors would like to thank the National Key R&D Program of China (Grant number 2017YFB0503700), (Grant number 2017YFB0503500); the National Science Foundation of China (NSFC) (Grant number 41671381) and (Grant number 41531177) for their support in this research.
Funding
This work was supported by the National Key R&D Program of China (Grant number 2017YFB0503700), (Grant number 2017YFB0503500); the National Science Foundation of China (NSFC) (Grant number 41671381) and (Grant number 41531177).
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School of Resources and Environmental Engineering, Wuhan University of Technology, Wuhan, 430070, China
Zhangcai Yin, Zhanghaonan Jin & Sanjuan Li
School of Resource and Environmental Sciences, Wuhan University, Wuhan, 430061, China
Shen Ying
China Antarctic Surveying and Mapping Research Center, Wuhan University, Wuhan, 430061, China
Qingquan Liu
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Yin, Z., Jin, Z., Ying, S.et al. A spatial data model for urban spatial–temporal accessibility analysis.J Geogr Syst22, 447–468 (2020). https://doi.org/10.1007/s10109-020-00330-6
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