Research on Trip Hotspot Discovery Algorithm Based on Hierarchical Clustering

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/).

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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  -