Yucheng Wang, Min Yang, Long Cheng, Bozhan Qin, Renjie Zhang
{"title":"Investigating service perception dynamics of transportation hub users through social media data","authors":"Yucheng Wang, Min Yang, Long Cheng, Bozhan Qin, Renjie Zhang","doi":"10.1016/j.trd.2025.104716","DOIUrl":null,"url":null,"abstract":"<div><div>The widespread use of social media offers insights into travel behavior analysis through user-generated trip-related content. However, applying such data to analyze perceived travel experience at integrated transportation hubs remains unexplored. Accordingly, this study utilized Beijing Daxing International Airport (BDIA), an integrated hub of intercity and urban transit, as a case study to analyze perceived service quality of hub users. We obtained 30,226 tweets via Sina Weibo and used Natural Language Processing (NLP) tools to extract travel-related information for service improvement. Topic modeling qualitatively revealed that BDIA plays a multifaceted role that encompasses air-rail connection, travel-related service within the airport, and societal role of transportation as urban public places. Sentiment analysis quantitatively assessed topic-specific satisfaction and its temporal dynamics. This study provided policy implications for enhancing transportation and social benefits generated by integrated transportation hubs, demonstrating the potential of social media analytics in real-time service monitoring and long-term hub management.</div></div>","PeriodicalId":23277,"journal":{"name":"Transportation Research Part D-transport and Environment","volume":"142 ","pages":"Article 104716"},"PeriodicalIF":7.3000,"publicationDate":"2025-04-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Transportation Research Part D-transport and Environment","FirstCategoryId":"5","ListUrlMain":"https://www.sciencedirect.com/science/article/pii/S1361920925001269","RegionNum":1,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"ENVIRONMENTAL STUDIES","Score":null,"Total":0}
引用次数: 0
Abstract
The widespread use of social media offers insights into travel behavior analysis through user-generated trip-related content. However, applying such data to analyze perceived travel experience at integrated transportation hubs remains unexplored. Accordingly, this study utilized Beijing Daxing International Airport (BDIA), an integrated hub of intercity and urban transit, as a case study to analyze perceived service quality of hub users. We obtained 30,226 tweets via Sina Weibo and used Natural Language Processing (NLP) tools to extract travel-related information for service improvement. Topic modeling qualitatively revealed that BDIA plays a multifaceted role that encompasses air-rail connection, travel-related service within the airport, and societal role of transportation as urban public places. Sentiment analysis quantitatively assessed topic-specific satisfaction and its temporal dynamics. This study provided policy implications for enhancing transportation and social benefits generated by integrated transportation hubs, demonstrating the potential of social media analytics in real-time service monitoring and long-term hub management.
期刊介绍:
Transportation Research Part D: Transport and Environment focuses on original research exploring the environmental impacts of transportation, policy responses to these impacts, and their implications for transportation system design, planning, and management. The journal comprehensively covers the interaction between transportation and the environment, ranging from local effects on specific geographical areas to global implications such as natural resource depletion and atmospheric pollution.
We welcome research papers across all transportation modes, including maritime, air, and land transportation, assessing their environmental impacts broadly. Papers addressing both mobile aspects and transportation infrastructure are considered. The journal prioritizes empirical findings and policy responses of regulatory, planning, technical, or fiscal nature. Articles are policy-driven, accessible, and applicable to readers from diverse disciplines, emphasizing relevance and practicality. We encourage interdisciplinary submissions and welcome contributions from economically developing and advanced countries alike, reflecting our international orientation.