Modeling Fire Site Location Considering Traffic Accident Characteristics in Mountainous Expressway

DOI

10.2991/tlicsc-18.2018.38How to use a DOI?

Keywords

Accident characteristics; fire station; mountainous expressway; location model.

Abstract

With the focus on infrastructure construction to the mountainous expressway in China, it causes an intense discussion that how to guarantee the safety of operation. Due to the limitation of landform and physiognomy, there are many bridge and tunnel sections in mountainous expressway to rapidly pass through continuous vegetation area. However, when the traffic accidents cause the unsafe state of the mountainous fire, roads are often occupied by other vehicles. Accordingly, it is difficult that the external fire engines reach the position. Nevertheless, there is a need to place a fire station in a flat area of expressway side to emergency response. Thus, this paper takes the Xi’han expressway Qinling section as an example, and analyzes the characteristics of traffic accident based on the traffic accident data from 2009 to 2015 and introduces the rescue time model. Ultimately, evaluating the rationality of the location of Qinling Management fire station with site selection model which is established with considering traffic accidents. The result shows that serious and major accidents in mountainous areas are often caused by over speed driving, mechanical failure, ice, snow and fog conditions. In addition, the existing Qinling management site location is reasonable, the cumulative rescue travel time and the average travel time of per accident are 1252.411 minutes and 19.87 minutes respectively.

Copyright

© 2018, 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  - Rong Zhou
AU  - Yuanqing Wang
PY  - 2018/12
DA  - 2018/12
TI  - Modeling Fire Site Location Considering Traffic Accident Characteristics in Mountainous Expressway
BT  - Proceedings of the 2018 International Conference on Transportation & Logistics, Information & Communication, Smart City (TLICSC 2018)
PB  - Atlantis Press
SP  - 241
EP  - 247
SN  - 1951-6851
UR  - https://doi.org/10.2991/tlicsc-18.2018.38
DO  - 10.2991/tlicsc-18.2018.38
ID  - Zhou2018/12
ER  -