Spatial Distribution of Travel Activities and Its Relationship with Points of Interest

Article

Li, Linbo, Cao, Mengfei, Yin, Jiajun, Wang, Yanli and Zhang, Yahua. 2021. "Spatial Distribution of Travel Activities and Its Relationship with Points of Interest." Promet Traffic and Transportation. 33 (1), pp. 1-16. https://doi.org/10.7307/ptt.v33i1.3462
Article Title

Spatial Distribution of Travel Activities and Its Relationship with Points of Interest

Article CategoryArticle
AuthorsLi, Linbo (Author), Cao, Mengfei (Author), Yin, Jiajun (Author), Wang, Yanli (Author) and Zhang, Yahua (Author)
Journal TitlePromet Traffic and Transportation
Journal Citation33 (1), pp. 1-16
Number of Pages16
Year2021
PublisherUniversity of Zagreb
Place of PublicationCroatia
ISSN0353-5320
1848-4069
Digital Object Identifier (DOI)https://doi.org/10.7307/ptt.v33i1.3462
Web Address (URL)https://traffic.fpz.hr/index.php/PROMTT/article/view/3462
Abstract

This study explores the spatial distribution characteristics of travel activities and their relationship with land use, using data from the resident travel survey in 2015 of Xiaoshan District of Hangzhou City, China. A new classification method is proposed to classify travel activities into three groups: single-activity travel, multi-activity intermittent travel, and multi-activity continuous travel. The main findings are: (a) the length of activity chain and proportion of multi-activity travels are increasing with the distance between residence and activity center; (b) the non-home destinations of single-activity travel, multi-activity intermittent travel and multi-activity continuous travel agglomerate towards the activity center, and the degree of agglomeration is increasing in this order; (c) the distribution density of point of interest (POI) and activity destinations have strong positive correlations in spaces; (d) some attributes of POIs and demographics have significant influences on multi-activity continuous travels. These findings are useful in inducing activities through reasonable combinations and spatial interconnections of POIs in urban planning.

KeywordsUrban planning; travel activity; land use; spatial distribution; multi-activity travel; POI layout
Contains Sensitive ContentDoes not contain sensitive content
ANZSRC Field of Research 2020380117. Transport economics
350908. Road transportation and freight services
Byline AffiliationsTongji University, China
University of Southern Queensland
Institution of OriginUniversity of Southern Queensland
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