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。
关键词：公交线网；大数据；职住分布；交通模型
DOI:10.19850/j.cnki.2096-4706.2022.09.039
基金项目：2020 年度教育部人文社会科学研究规划基金（20YJA630011）
中图分类号：TP391 文献标识码：A 文章编号：2096-4706（2022）09-0158-04
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
LIU Yong1, DENG Shuguang2
(1.Nanning Architectural and Planning Design Group Co., Ltd., Nanning 530002, China; 2.School of Geographic Science and Planning, Nanning Normal University, Nanning 530001, China)
Abstract: 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.
Keywords: public transport network; big data; occupational and residential distribution; transport model
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作者简介：刘勇（1984—），男，土家族，湖南常德人，高级工程师，硕士，东南大学博士在读，研究方向：交通规划、交通信息化；邓曙光（1976—），男，汉族：河南信阳市人，高级工程师，硕士生导师，博士，研究方向：智慧城乡规划的科研与教学。