基于大数据分析的城市公交线网优化决策支持研究——以南宁市仙葫西片区为例  

Decision-making Support Research of Urban Public Transport Network Optimization Based on Big Data Analysis——Take Xianhu West Area of Nanning City as an Example

作　　者：刘勇 邓曙光 LIU Yong;DENG Shuguang(Nanning Architectural and Planning Design Group Co.,Ltd.,Nanning 530002,China;School of Geographic Science and Planning,Nanning Normal University,Nanning 530001,China)

机构地区：[1]南宁市建筑规划设计集团,广西南宁530002 [2]南宁师范大学地理科学与规划学院,广西南宁530001

出　　处：《现代信息科技》2022年第9期158-161,共4页Modern Information Technology

基　　金：2020年度教育部人文社会科学研究规划基金:(20YJA630011)。

摘　　要：在大数据发展的时代背景下,城市公交线网优化决策正转向数据化、精细化的更高要求。然而,传统公交出行特征及指标模型受限于交通调查样本覆盖率低,难以支持更高要求的城市公交线网优化决策。文中用手机信令大数据集反推用户出行轨迹的方法,构建了基于多元大数据的公交出行优化决策系统。并以南宁市仙葫西片区为例,对片区职住分布及公交出行大数据进行研究,研判公交出行特征,为片区公交线网优化决策提供依据。In the background of big data development, urban public transport network optimization decision-making is turning to higher requirements of datalization and refinement. However, traditional public transport travel characteristics and index models are limited by the low coverage of traffic survey samples, making it difficult to support more demanding urban public transport network optimization decision-making. In this paper, the mobile signaling big data set is used to deduce the travel trajectory of users, and a public transport travel optimization decision-making system based on multiple big data is constructed. It also takes Xianhu west area in Nanning city as an example to study the area’s occupational and residential distribution and public transport travel big data, research and judge the characteristics of public transport travel, it provides a basis for the optimization decision-making of regional public transport network.

关 键 词：公交线网 大数据 职住分布 交通模型 

分 类 号：TP391[自动化与计算机技术—计算机应用技术]