基于多尺度交通可达性的成渝地区双城经济圈应急救援能力评估研究

Research on Emergency Rescue Capability Evaluation of Chengdu-Chongqing Twin-City Economic Circle Based on Multi Scale Traffic Accessibility

摘要: 随着成渝地区双城经济圈战略的深入实施，区域安全韧性建设对交通网络应急救援可达性提出更高要求。以成渝地区双城经济圈为研究对象，依托GIS空间网络分析模型，结合交通路网、救援站点分布及人口数据，从时间成本维度构建多尺度应急救援可达性评估框架，运用服务区分析与改进高斯两步移动搜索法，量化分析核心城市与全域尺度的救援可达性空间特征及瓶颈问题。研究发现，区域应急救援可达性呈现核心高效、边缘低效的非均衡格局，存在优质资源集聚、供需空间错配、边缘路网薄弱等问题。据此提出完善路网结构、优化站点布局、强化智能管控等优化路径，为成渝地区双城经济圈应急救援体系协同优化提供理论依据与实践参考，也为城市群应急网络建设提供方法论借鉴。

Abstract: With the in-depth implementation of the Chengdu-Chongqing Twin-City Economic Circle strategy, the construction of regional safety and resilience has put forward higher requirements for the accessibility of emergency rescue in transportation networks. Taking the Chengdu-Chongqing Twin-City Economic Circle as the research object, relying on the GIS spatial network analysis model, combined with traffic network, rescue station distribution and population data, this paper constructs a multi-scale emergency rescue accessibility evaluation framework from the dimension of time cost, and uses service area analysis and improved Gaussian two-step floating catchment area method (2SFCA) to quantitatively analyze the spatial characteristics and bottleneck problems of rescue accessibility at the core city and global scales. The study found that the regional emergency rescue accessibility presents an unbalanced pattern of high efficiency in the core and low efficiency in the edge, with problems such as agglomeration of high-quality resources, spatial mismatch between supply and demand, and weak edge road networks. Based on this, optimization paths such as improving the road network structure, optimizing the layout of stations, and strengthening intelligent management and control are proposed, which provide a theoretical basis and practical reference for the coordinated optimization of the emergency rescue system in the Chengdu-Chongqing Twin-City Economic Circle, as well as a methodological reference for the construction of emergency networks in urban agglomerations.