Research on the Vitality of Urban Coastal Space Based on Multi-Source Data

Liu Jing; Yang Guo; Jinghong Xiong

doi:10.2991/978-94-6463-562-1_8

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Research on the Vitality of Urban Coastal Space Based on Multi-Source Data

Taking Shapowei Huangcuo Section of Huandao Road in Xiamen as an Example

Authors

Liu Jing¹, Yang Guo², Jinghong Xiong¹^{, *}

¹School of Civil Engineering and Architecture, Xiamen University of Technology, Xiamen, 361024, China

²College of Forestry and Grassland, Jilin Agriculture University, Changchun, 130118, China

^*Corresponding author. Email: jim@xmut.edu.cn

Corresponding Author

Jinghong Xiong

Available Online 13 November 2024.

DOI: 10.2991/978-94-6463-562-1_8 How to use a DOI?
Keywords: multi-source data; Urban coastal space; Space vitality; Environmental impact factors
Abstract: Taking Shapowei Huangcuo section of Huandao Road in Xiamen as the object of study, this paper explores spatio-temporal variation rules of coastal spatial vitality of Huandao Road and analyzes the relationship between environmental factors and spatial vitality; The multi-source data such as Baidu thermodynamic chart data, POI data and OSM data crawled from the network are imported into Arc GIS10.8 for quantification, and SPSS was used for multiple linear regression analysis. The research results indicated that the location centrality, land mix, plant coverage, road network density, cultural service facility density, catering service facility density and medical service facility density have remarkable influence on the vitality of coastal space. Propose design strategies for improving the vitality of urban coastal space based on the influence of various factors.
Copyright: © 2024 The Author(s)
Open Access: Open Access This chapter is licensed under the terms of the Creative Commons Attribution-NonCommercial 4.0 International License (http://creativecommons.org/licenses/by-nc/4.0/), which permits any noncommercial use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license and indicate if changes were made.

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Volume Title: Proceedings of the 2024 5th International Conference on Big Data and Social Sciences (ICBDSS 2024)
Series: Advances in Computer Science Research
Publication Date: 13 November 2024
ISBN: 978-94-6463-562-1
ISSN: 2352-538X
DOI: 10.2991/978-94-6463-562-1_8 How to use a DOI?
Open Access: Open Access This chapter is licensed under the terms of the Creative Commons Attribution-NonCommercial 4.0 International License (http://creativecommons.org/licenses/by-nc/4.0/), which permits any noncommercial use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license and indicate if changes were made.

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ris enw bib

TY  - CONF
AU  - Liu Jing
AU  - Yang Guo
AU  - Jinghong Xiong
PY  - 2024
DA  - 2024/11/13
TI  - Research on the Vitality of Urban Coastal Space Based on Multi-Source Data
BT  - Proceedings of the 2024 5th International Conference on Big Data and Social Sciences (ICBDSS 2024)
PB  - Atlantis Press
SP  - 76
EP  - 92
SN  - 2352-538X
UR  - https://doi.org/10.2991/978-94-6463-562-1_8
DO  - 10.2991/978-94-6463-562-1_8
ID  - Jing2024
ER  -

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