Research on Trip Hotspot Discovery Algorithm Based on Hierarchical Clustering
Authors
Hongqin Luo, Dejun Chen, Zhuang Xiong, Kehao Wang
Corresponding Author
Hongqin Luo
Available Online June 2017.
- DOI
- 10.2991/iceep-17.2017.43How to use a DOI?
- Keywords
- travel survey, stop-point, hierarchical clustering, trip hotspot
- Abstract
Aiming at the distribution characteristics of the stop-point data obtained from the mobile phone travel survey, this paper proposes an algorithm of extracting the hotspot area of urban residents by hierarchical clustering method. The algorithm is implemented and the effectiveness of the algorithm is verified by case data. The algorithm has been used in the actual travel investigation system to provide concrete decision-making basis for urban land use and transportation planning.
- Copyright
- © 2017, the Authors. Published by Atlantis Press.
- Open Access
- This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).
Cite this article
TY - CONF AU - Hongqin Luo AU - Dejun Chen AU - Zhuang Xiong AU - Kehao Wang PY - 2017/06 DA - 2017/06 TI - Research on Trip Hotspot Discovery Algorithm Based on Hierarchical Clustering BT - Proceedings of the 2017 6th International Conference on Energy and Environmental Protection (ICEEP 2017) PB - Atlantis Press SP - 246 EP - 251 SN - 2352-5401 UR - https://doi.org/10.2991/iceep-17.2017.43 DO - 10.2991/iceep-17.2017.43 ID - Luo2017/06 ER -