Year: 2018
Type: article
Abstract: Understanding human mobility patterns and spatial structure is of great important to urban planning, traffic management, emergence response, and so on.With the development of information and communication technologies, it is possible to collect large-scale, long-term human tracking data, which brings great opportunities and challenges for human mobility behavior studies.This article first introduces the main datasets being used for studying human mobility patterns, then reviews the recent progress from the perspectives of human travel behavior and urban spatial structure respectively.We found that most studies follow the route of "data-human travel behavior-urban spatial structure," mining and understanding human mobility patterns from the datasets and further giving insights on the characteristics of urban spatial structures.However, there exist few studies on the influence of urban spatial structure on human travel behavior.In the future, it is necessary to integrate multi-source spatiotemporal data to understand the interaction between human mobility and urban spatial structure, develop spatiotemporal analysis theory and models for dealing with mobile location big data, and focus on understanding the coupling relationship between human mobility and urban spatial structure.
Source: 地理科学进展
Authors: 杨喜平, YANG Xiping, 方志祥, FANG Zhixiang
Institution: Shaanxi Normal University
Language: Chinese
Subfield: Transportation
Field: Social Sciences
Domain: Social Sciences
Open Access status: bronze
Award: G2330969606
OpenAlex ID: W4252866124