A POI‐Constrained Space‐Time Accessibility Model. Issue 1 (6th February 2021)

• Record Type: Journal Article
• Authors: Wu, Jing; Zou, Qiang; Claramunt, Christophe; Cheng, Penggen; Gu, Huaqi
• Is Part Of: Geographical analysis. Volume 54:Issue 1(2022)
• Page Start: 104
• Page End: 123
• Publication Date: 2021-02-06
• Subjects: Geography -- Methodology -- Periodicals; Electronic journals; 910.00182
• DOI: 10.1111/gean.12277
• Languages: English
• ISSNs: 0016-7363

Abstract

Abstract : Space‐time accessibility usually denotes the ability or potential to reach some destinations of value according to some given spatial and temporal constraints. While most of space‐time accessibility models so far recognize that space and time dimensions constrain the way humans might perform some activities at some given locations, additional semantics such as the ones exhibited by points of interest (POI) are most often not taken into account within the search space. Relying on concepts behind Time Geography, this article introduces a high‐dimensional space‐time network modelling approach that takes into account a series of POI constraints. We developed an Alternating Direction Method of Multipliers (ADMM) solution search process, and implemented a POI‐constrained accessibility model. The whole framework is practically implemented by an algorithmic approach. The potential of our work is finally illustrated by a practical example applied to the Beijing Happy Valley.