北京交通大学学报2025，Vol.49Issue(1)：110-118,9.DOI:10.11860/j.issn.1673-0291.20240072
基于高阶网络模型的重要公交线路甄别及优化
Identification and optimization of important bus lines based on a higher-order network model
摘要
Abstract
Addressing the identification and optimization of critical urban bus lines,this study examines Xi'an's bus system using a higher-order network model to identify and optimize its key bus lines.First,acknowledging the path dependency inherent to urban bus systems,a higher-order bus network is constructed based on the higher-order network model.Next,an improved weighted k-core decompo-sition method is proposed,incorporating four location attribute indicators:the road hierarchy of bus stops,rail transit connections at bus stops,Points of Interest(POIs)within the service areas of bus stops,and population density in the areas surrounding bus stops.This approach categorizes the higher-order bus network into core,bridge and peripheral layers.Finally,an empirical analysis is conducted using Xi'an as an example.Important bus lines are identified based on the average number of buses operating in each layer,and the most critical sections of the bus lines are identified according to their frequency of occurrence in significant network edges.Optimization suggestions are put forward for existing problems.The research results indicate that there are 234 critical bus line sections and 55 bus lines traversing the 6 most important sections of the bus lines in Xi'an.Additionally,challenges exist in the connectivity between the city's new and suburban areas and the central urban areas.Specifi-cally,524 bus stops in the bridge layer lack direct routes to any stops in the core layer.Through the optimization of 13 non-direct bus lines,the direct connection rate of bus stops has increased by 4.72%,adding direct route options for 247 stops on 13 lines to core-layer stops,thereby enhancing the travel convenience for urban residents.关键词
城市交通/高阶网络/加权k核分解/线路优化Key words
urban transportation/higher-order network/weighted k-core decomposition/route optimization分类
交通工程引用本文复制引用
谢逢洁,魏梦婵,黄佳欣,任翠萍..基于高阶网络模型的重要公交线路甄别及优化[J].北京交通大学学报,2025,49(1):110-118,9.基金项目
国家自然科学基金(52102418) （52102418）
国家社会科学基金(20BGL282) National Natural Science Foundation of China(52102418) （20BGL282）
National Social Science Foundation of China(20BGL282) （20BGL282）
