Impact of Railway Construction on Emergency Response Capability: A Case Study in Taipei
Date Issued
2010
Date
2010
Author(s)
Tsai, Chia-Ju
Abstract
Urban safety is a critical issue in urban management. It affects the life quality and safety of people in urban area. Among many factors, emergency response capability of fire station is the most critical one.
Meanwhile, railway network is one of the most important transportation in urban area. In most cities where rail stations locate in city centers, road networks are intersected with railway and travel times of fire engines are affected. The system performance is even worse when railway system is under construction in a long-time period. During the construction period, the road network would be blocked or disconnected by fences in order to provide adequate space for the construction works. In practice, the impacts of railway construction on emergency response capability is often ignored in the project feasibility analysis, and thus construction works are implemented without any action to mitigate the negative impacts on emergency response time.
This research, in addition to the presentation of the theoretical framework for the railway construction on the emergency response capability, base on a local district (Nan-Gang) in Taipei city, a case study of impact evaluation on system performance will be conducted by means of GIS network analysis functions.
There are three phases in this research. First, build the road network data resource of Nan-Gang district, and use GIS to model the railroad construction period road network, fences barrier, and fire engines moving speed. Second, use P-center theory to analysis 103 demand points, decide where the appropriate point to locate fire station is. Third, use GIS to performance emergency response capability, compare the capability difference when construction fences exist or not.
The research results indicate a significant impact. The fire engines speed would be slow down 202.41 meters per minute (12km/hr) and future fire station allocation improvements are suggested.
Subjects
emergency management
fire station
network analysis
P-center model
SDGs
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