Spatial and Temporal Distribution Characteristics of Street Vitality based on Baidu Heatmap: Taking Wenjiang District of Chengdu City as an Example

DOI: https://doi.org/10.62517/jmsd.202412316

Author(s)

Chenlin Yuan1, Zhihui Jing2,*, Tingting Su2

Affiliation(s)

1College of Economics of Sichuan Agricultural University, Chengdu, Sichuan, China 2College of Resources of Sichuan Agricultural University, Chengdu, Sichuan, China *Corresponding Author.

Abstract

Street vitality has long been a topic of concern in urban planning theory and practice, and it is important to study the spatial and temporal distribution characteristics of street vitality in the region for urban renewal and development. Using the Baidu Heatmap and taking Wenjiang District of Chengdu City as an example, we analyze the crowd gathering degree of each street at different time periods during weekdays and rest days with the help of ArcGIS software, quantitatively evaluate the current street vibrancy levels of Wenjiang District, identify the high vibrancy streets, and put forward suggestions for the regional development of each dynamic street. The results show that the medium and high vitality streets on weekdays and rest days are mainly Liutai Avenue East and Haike Road East, while the low vitality streets are mainly Ecological Avenue Guanwen Road and Wenyu Road. The factors affecting the vitality of the street are closely related to whether the surrounding traffic is convenient and whether the facilities are perfect. Based on the crowd data provided by Baidu's heat map, it clearly reflects the information of crowd gathering and the situation of space being used in any street space at any time, which can replace the traditional method of crowd data statistics.

Keywords

Baidu Heatmap; Street Vitality; Spatiotemporal Distribution; Urban Planning; Regional Development

References

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