基于公众网络参与语义分析的城市公共交通感知服务质量识别与优化  

Semantic Analysis of Public Network Participation for Urban Public Transportation Perceived Service Quality Identification and Optimization

作　　者：刘畅[1,2] 时二鹏 郭诗怡 郭亮 孙小丽[6] LIU Chang;SHI Erpeng;GUO Shiyi;GUO Liang;SUN Xiaoli(School of Architecture and urban planning,Huazhong University of Science and technology,Wuhan 430074,China;The key Laboratory of Urban Simulation for Ministry of natural resources,Wuhan 430074,China;School of Urban Design,Wuhan University,Wuhan 430072,China;School of Urban Planning and Design,Peking university Shenzhen graduate school,Shenzhen 518005,China;Shenzhen New Urban Planning and Architecture Design Co.,Ltd.,Shenzhen 518172,China;Wuhan Institute of Transportation Development Strategy,Wuhan 430017,China)

机构地区：[1]华中科技大学建筑与城市规划学院,武汉430074 [2]自然资源部城市仿真重点实验室,武汉430074 [3]武汉大学城市设计学院,武汉430072 [4]北京大学深圳研究生院城市规划与设计学院,深圳518005 [5]深圳市新城市规划建筑设计股份有限公司博士后创新实践基地,深圳518172 [6]武汉市交通发展战略研究院,武汉430017

出　　处：《地球信息科学学报》2025年第3期585-600,共16页Journal of Geo-information Science

基　　金：国家自然科学基金项目(52178039、52208083);中国博士后科学基金面上资助项目(2023M742694);中央高校基本科研业务费专项资金资助(2042024kf0029)。

摘　　要：【目的】粗放式设施配置已无法保障社会公平和生活品质,提高感知服务质量成为城市公共交通发展和改革的重要方向。以往研究存在以下不足:(1)传统基于交通调查的分析方法难以揭示感知服务质量的区域差异;(2)现有使用社交媒体平台大数据的研究容易受到信息偏差、极化等影响,不易反映公众真实诉求,且对制度化平台数据的利用多停留在舆情分析层面,缺乏具体可行的优化路径。【方法】提出了一种结合公众网络参与和语义分析的方法,并以武汉都市发展区为研究区域,基于政-民在线互动平台的公共交通相关网络留言,通过时空特征信息提取验证了数据的可靠性,运用情感分析、主题聚类和空间分析识别了感知服务质量的特征,并结合公交系统服务效能针对不同区域提出优化建议。【结果】(1)公众网络参与数据能够反映实际出行活动的时空规律,具有较高可信度;(2)公众的情感表达在个体和区域上存在差异,对服务质量的感知维度可以分为“公共交通规划建设”、“公共交通出行路况”、“居住小区公交配置”、“公共交通线路设置”和“公共交通运营服务”5个主题,且感知服务质量在空间上呈现不均衡和聚集的特征;(3)针对主城区道路系统、远城区地铁站点、主城区与远城区交界处公交线路提出了相应的优化建议。【结论】研究成果为城市公共交通感知服务质量的空间差异精细化识别与优化提供了新方法,也展现了公众网络参与数据在促进政府决策方面的应用价值。[Objectives]Urban public transportation service quality is an important factor affecting residents'travel choices and quality of life,but the current development and reform of urban public transportation in China still has shortcomings,and it is necessary to incorporate public perception into the decision-making basis and improve service quality from the perspective of residents.Previous studies have two main limitations:first,they rely on traditional analysis methods based on traffic surveys,which fail to capture the regional differences in perceived service quality;second,they use big data from social media platforms,which are prone to information bias,polarization,and other issues,and do not reflect the public's real needs.Moreover,they mostly focus on public opinion analysis,without providing specific and feasible optimization paths.[Methods]To address these gaps,this paper proposes a method that combines public network participation and semantic analysis.It uses internet big data to extract online messages related to urban public transportation from the online interactive platform between government and citizens and analyzes their spatiotemporal features and perceived service quality.It also conducts spatial analysis and explores the service efficiency of the public transportation system in relation to the transportation facility distribution.Based on this,it offers optimization suggestions.The paper selects Wuhan as a case study,which is one of the national central cities and an important megacity in the middle reaches of the Yangtze River.The urban development area in Wuhan is a key zone for urbanization and a major hub for public travel activities,covering 15 functional zones.It has a complete public transportation facility allocation,including all the subway lines and stations,and most of the bus lines and stations in the city.[Results]The main findings are as follows:(1)The quality of public network participation data can reflect the spatiotemporal patterns of actual travel activities and has high credi

关 键 词：城市交通 服务质量 服务效能 网络留言 情感分析 LDA主题聚类 空间分析 武汉市 

分 类 号：TP3[自动化与计算机技术—计算机科学与技术]