Proceedings of the 2022 2nd International Conference on Business Administration and Data Science (BADS 2022)

<Previous Article In Volume
Next Article In Volume>

Research on occupational relationship and influencing factors in areas along Chengdu Metro Line 1 based on TOD model

Authors
Hai Xiao1, *, Yuan Zheng1, Xinyi Xia1, Liangying Wang1, Lili Zhang1
1College of Architecture and Urban-Rural Planning, Sichuan Agricultural University, Dujiangyan, China
*Corresponding author. Email: 41228@sicau.edu.cn
Corresponding Author
Hai Xiao
Available Online 29 December 2022.
DOI
10.2991/978-94-6463-102-9_69How to use a DOI?
Keywords
TOD; Job-housing Relationship; POI; Big Data; Rail Transit
Abstract

The imbalance between work and housing is one of the obstacles hindering the development of today's cities. TOD is widely regarded as a sustainable urban development model, and it also plays a positive role in adjusting the urban spatial structure. This article takes 800m around the main station of Chengdu Metro Line 1 as the research area, obtains population thermal data through WeChat Yichuan platform, builds a “job-housing relationship model” based on existing research, and uses GIS space such as buffer analysis and nuclear density analysis. The analysis method analyzes the job-housing relationship around the main stations of Metro Line 1. Combined with POI data, the kernel density estimation method is used to explore the factors that affect the relationship between job and residence. The results show that the job-housing ratio in the areas along Chengdu Metro Line 1 is balanced. The areas where the job-housing is greater than the financial city station and the incubator park station are the Guangfu station. The higher the land use mix, the better the job-housing relationship. closer to equilibrium.

Copyright
© 2023 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.

Download article (PDF)

<Previous Article In Volume
Next Article In Volume>
Volume Title
Proceedings of the 2022 2nd International Conference on Business Administration and Data Science (BADS 2022)
Series
Atlantis Highlights in Computer Sciences
Publication Date
29 December 2022
ISBN
978-94-6463-102-9
ISSN
2589-4900
DOI
10.2991/978-94-6463-102-9_69How to use a DOI?
Copyright
© 2023 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.

Cite this article

risenwbib
TY  - CONF
AU  - Hai Xiao
AU  - Yuan Zheng
AU  - Xinyi Xia
AU  - Liangying Wang
AU  - Lili Zhang
PY  - 2022
DA  - 2022/12/29
TI  - Research on occupational relationship and influencing factors in areas along Chengdu Metro Line 1 based on TOD model
BT  - Proceedings of the 2022 2nd International Conference on Business Administration and Data Science (BADS 2022)
PB  - Atlantis Press
SP  - 670
EP  - 679
SN  - 2589-4900
UR  - https://doi.org/10.2991/978-94-6463-102-9_69
DO  - 10.2991/978-94-6463-102-9_69
ID  - Xiao2022
ER  -