南昌市居民交通出行特征分析及优化建议  

作　　者：胡水燕 李荣 

机构地区：[1]南昌市城市发展研究院 [2]江西警察学院

出　　处：《道路交通科学技术》2023年第4期32-36,共5页Road Traffic Science & Technology

基　　金：江西省高校人文社会科学研究项目青年项目“数据驱动的城市群多模式交通网络协同优化及应急管理研究”(GL20216);江西省教育厅科学技术研究项目一般项目“基于多层复杂网络的城市公交一地铁综合交通网络脆弱性研究”(GJ2202304)。

摘　　要：随着南昌市人口和机动车数量的快速增长,居民出行需求和出行特征也将随之变化,有必要开展新一轮调查,获取城市交通运行基础数据。结合传统入户抽样调查和手机信令、洪城一卡通、地铁闸机、出租车GPS等交通大数据,通过多源数据融合校正,识别更加准确的居民出行和交通运行特征。南昌市交通出行需求呈现“双中心网络化”空间分布形态,交通廊道呈“A”字型;常规公交出行比例大幅减少,小汽车出行比例增长迅速。面对居民出行特征变化和小汽车增长与资源环境之间的矛盾,从完善路网格局、优化公交系统、提升管理水平等方面提出了针对性建议。With the rapid growth of the population and motor vehicles in Nanchang,residents'travel needs and travel characteristics changes accordingly.It is necessary to carry out a new round of surveys to obtain basic data on urban traffic operations.Combining traditional household sampling surveys and traffic big data such as mobile phone signaling,Hongcheng all-in-one card,subway gate and taxi GPS,multi-source data fusion correction is used to identify more accurate residents'travel and traffic operation characteristics.The traffic demand of Nanchang City presents a"dual-center network"spatial distribution pattern,while the traffic corridors presents an"A"shape;the proportion of regular bus travel has been greatly reduced,and the proportion of car travel has increased rapidly.In the face of changes in residents'travel characteristics and the contradiction between the growth of cars and the trafic resource environment,targeted suggestions have been put forward from improving the road network structure,optimizing the public transportation system,and improving management level.

关 键 词：城市交通 居民出行特征 交通运行 南昌市 

分 类 号：TP3[自动化与计算机技术—计算机科学与技术]