Proceedings of the 2024 International Conference on Rail Transit and Transportation (ICRTT 2024)

Hotspot Identification and Facility Layout Perception Based on Taxi Data: A Case Study of Dezhou City

Authors
Yiwen Zhang1, Xianghong Li1, *
1Henan Polytechnic University of Energy Science and Engineering, Jiaozuo, Henan, 454003, China
*Corresponding author. Email: ixianghong001@126.com
Corresponding Author
Xianghong Li
Available Online 16 December 2024.
DOI
10.2991/978-94-6463-610-9_13How to use a DOI?
Keywords
taxi data; residents’ travel characteristics; cluster analysis; standardized ellipse
Abstract

Based on the travel characteristics of urban residents in taxi data, this paper selects Dezhou as the research object, and uses DBSACN clustering and standardized ellipse to analyze the travel characteristics of urban residents in Dezhou for two weeks. The purpose is to deeply explore the travel characteristics of residents in Dezhou, analyze the characteristics of current residents’ travel, and put forward targeted strategic suggestions based on this. The results show that the travel of residents in Dezhou is generally centered on the western part of Decheng District, the layout of urban facilities is relatively concentrated, its commercial facilities are relatively thin, and the level of urban commercialization needs to be improved.

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 International Conference on Rail Transit and Transportation (ICRTT 2024)
Series
Advances in Engineering Research
Publication Date
16 December 2024
ISBN
978-94-6463-610-9
ISSN
2352-5401
DOI
10.2991/978-94-6463-610-9_13How to use a DOI?
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.

Cite this article

TY  - CONF
AU  - Yiwen Zhang
AU  - Xianghong Li
PY  - 2024
DA  - 2024/12/16
TI  - Hotspot Identification and Facility Layout Perception Based on Taxi Data: A Case Study of Dezhou City
BT  - Proceedings of the 2024 International Conference on Rail Transit and Transportation (ICRTT 2024)
PB  - Atlantis Press
SP  - 115
EP  - 123
SN  - 2352-5401
UR  - https://doi.org/10.2991/978-94-6463-610-9_13
DO  - 10.2991/978-94-6463-610-9_13
ID  - Zhang2024
ER  -