Identifying borders of activity spaces and quantifying border effects on intra-urban travel through spatial interaction network. (May 2021)

• Record Type: Journal Article
• Authors: Jin, Meihan; Gong, Lunsheng; Cao, Yanqin; Zhang, Pengcheng; Gong, Yongxi; Liu, Yu
• Is Part Of: Computers, environment and urban systems. Volume 87(2021)
• Publication Date: 2021-05
• Subjects: Spatial interaction -- Activity space -- Border effects -- Community detection -- Spatial big data; City planning -- Data processing -- Periodicals; Regional planning -- Data processing -- Periodicals; 303.4834
• DOI: 10.1016/j.compenvurbsys.2021.101625
• Languages: English
• ISSNs: 0198-9715

Abstract

Abstract: Detecting borders of urban activity spaces is essential for understanding urban dynamic structures. The emerging big geo-data help to extract valuable knowledge about the relationship between urban structures and human activities at fine granularities. Despite the well-developed urban structure and transportation network design technology, barriers attenuating intra-urban travel still exist as borders of urban activity spaces. To understand the effects of activity space borders, this study first delineates the activity space borders and identifies the borders into three categories: natural, infrastructural, and administrative borders. Then, the border effect from three types of borders is evaluated through the spatial interaction model revealing their influence on intra-urban travel connections. On basis of the modeling results, we introduce an indicator, border thickness, to measure the distance increased caused by each border of activity space. This study provides a border effect perspective for investigating the urban activity spaces. We reveal the different border effects for natural, infrastructural, and administrative borders. Further, we locate the thick borders and discuss their relations with the urban structure. Highlights: This research delineates the urban activity space border on basis of the urban travel network. The activity space borders are reorganized into three categories: natural, infrastructural, administrative. Different border effects are revealed with model. Border thickness is proposed to measure the border effect spatial heterogeneity.