Quantitative Forecast of Daily and Monthly Pedestrian Flows in the Scenic Spot

DOI

10.2991/itms-15.2015.148How to use a DOI?

Keywords

pedestrian flows; forecasting; AQI

Abstract

Study on the pedestrian flow forecasting and pre-warning has scientific value and practical significance to organize crowd activities and decrease stampede risk. In this paper, the changing rules of daily and monthly pedestrian flows are analyzed, taking AQI (Air Quality Index) into consideration. The correlations of pedestrian flows, including daily and monthly pedestrian flows, and affecting factors are quantitatively investigated. The simulation equations established in this paper are reliable and accurate to forecast the daily and monthly pedestrian flows. The results can help to conduct security pre-warning system and safety scheme guide for crowd activities.

Copyright

© 2015, 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  - J.Y. Wang
AU  - W.G. Weng
AU  - Y. Zhou
PY  - 2015/11
DA  - 2015/11
TI  - Quantitative Forecast of Daily and Monthly Pedestrian Flows in the Scenic Spot
BT  - Proceedings of the 2015 International Conference on Industrial Technology and Management Science
PB  - Atlantis Press
SP  - 625
EP  - 628
SN  - 2352-538X
UR  - https://doi.org/10.2991/itms-15.2015.148
DO  - 10.2991/itms-15.2015.148
ID  - Wang2015/11
ER  -