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How do new transit stations affect people's sentiment and activity? A case study based on social media data in Hong Kong

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  • Chang, Haoliang
  • Huang, Jianxiang
  • Yao, Weiran
  • Zhao, Weizun
  • Li, Lishuai

Abstract

Urban rail development can increase land value, reduce commute time, and increase accessibility, as reported in the literature. However, little is known about the impact of opening urban rail transit stations on people's sentiment, particularly in the context of large metropolises where population density is significantly high. This paper investigates such impact by studying six new transit stations opened in Hong Kong. People's sentiment and activity in station nearby areas are estimated by tweet sentiment and tweet activity. We use the difference-in-difference model to study the impact of opening new transit stations. Tweet sentiment, tweet activity, tweet content, and footprints of people who visit the station-influenced area ‘before and after’ the opening of transit stations are analyzed. The results suggest that, in general, the introduction of transit stations causes a positive change in tweet activity, and the change is statistically significant after six months. Regarding tweet sentiment, new transit stations tend to pose a mixed effect in a short-term, a positive influence on areas with high-density residential places, yet a negative influence on areas with a large proportion of nature reserve areas. These short-term effects, positive or negative, become not significant in the long term (after twelve months). Our analysis also confirmed that the introduction of new transit stations increased accessibility from (to) other parts of the city to(from) the station's nearby area, which was shown by the expanded locations sustaining users visited. These findings indicate that the urban rail transit system in Hong Kong promotes more active neighborhoods yet does not always promotes positive influence on people's sentiment. Further studies are needed to make future urban rail transit systems promoting active and happy neighborhoods. The study is relevant to the Belt and Road Initiative (BRI) in methodologies, data, and findings. The social media analysis method used in this study, including text mining and sentiment analysis, can be easily extended to multiple language analysis for Singapore, Malaysia, as well as other regions in the belt and road plan. The developed tools could contribute to analyzing the influence of cross-country projects on local neighborhoods in the belt and road plan.

Suggested Citation

  • Chang, Haoliang & Huang, Jianxiang & Yao, Weiran & Zhao, Weizun & Li, Lishuai, 2022. "How do new transit stations affect people's sentiment and activity? A case study based on social media data in Hong Kong," Transport Policy, Elsevier, vol. 120(C), pages 139-155.
    • Handle: RePEc:eee:trapol:v:120:y:2022:i:c:p:139-155
    DOI: 10.1016/j.tranpol.2022.03.011
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    References listed on IDEAS

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    1. Richard Layard & Andrew E. Clark & Francesca Cornaglia & Nattavudh Powdthavee & James Vernoit, 2014. "What Predicts a Successful Life? A Life‐course Model of Well‐being," Economic Journal, Royal Economic Society, vol. 124(580), pages 720-738, November.
    2. González, Silvia R. & Loukaitou-Sideris, Anastasia & Chapple, Karen, 2019. "Transit neighborhoods, commercial gentrification, and traffic crashes: Exploring the linkages in Los Angeles and the Bay Area," Journal of Transport Geography, Elsevier, vol. 77(C), pages 79-89.
    3. Bardaka, Eleni & Delgado, Michael S. & Florax, Raymond J.G.M., 2018. "Causal identification of transit-induced gentrification and spatial spillover effects: The case of the Denver light rail," Journal of Transport Geography, Elsevier, vol. 71(C), pages 15-31.
    4. Lisa Rayle, 2015. "Investigating the Connection Between Transit-Oriented Development and Displacement: Four Hypotheses," Housing Policy Debate, Taylor & Francis Journals, vol. 25(3), pages 531-548, July.
    5. Krueger, Alan B. & Schkade, David A., 2008. "The reliability of subjective well-being measures," Journal of Public Economics, Elsevier, vol. 92(8-9), pages 1833-1845, August.
    6. Lam, William H. K. & Cheung, Chung-Yu & Lam, C. F., 1999. "A study of crowding effects at the Hong Kong light rail transit stations," Transportation Research Part A: Policy and Practice, Elsevier, vol. 33(5), pages 401-415, June.
    7. Yu, Haitao & Jiao, Junfeng & Houston, Eric & Peng, Zhong-Ren, 2018. "Evaluating the relationship between rail transit and industrial agglomeration: An observation from the Dallas-fort worth region, TX," Journal of Transport Geography, Elsevier, vol. 67(C), pages 33-52.
    8. Kamruzzaman, Md. & Baker, Douglas & Washington, Simon & Turrell, Gavin, 2014. "Advance transit oriented development typology: case study in Brisbane, Australia," Journal of Transport Geography, Elsevier, vol. 34(C), pages 54-70.
    9. Matthew Soursourian, 2010. "Equipping communities to achieve equitable transit-oriented development," Community Investments, Federal Reserve Bank of San Francisco, vol. 22(Summer), pages 22-2745.
    10. Oswald, Andrew J. & Powdthavee, Nattavudh, 2008. "Does happiness adapt? A longitudinal study of disability with implications for economists and judges," Journal of Public Economics, Elsevier, vol. 92(5-6), pages 1061-1077, June.
    11. Cervero, Robert & Murakami, Jin, 2008. "Rail + Property Development: A model of sustainable transit finance and urbanism," Institute of Transportation Studies, Research Reports, Working Papers, Proceedings qt6jx3k35x, Institute of Transportation Studies, UC Berkeley.
    12. Dubé, Jean & Legros, Diègo & Thériault, Marius & Des Rosiers, François, 2014. "A spatial Difference-in-Differences estimator to evaluate the effect of change in public mass transit systems on house prices," Transportation Research Part B: Methodological, Elsevier, vol. 64(C), pages 24-40.
    13. Shu-wei Wang & Li-shan Sun & Jian Rong & Zi-fan Yang, 2013. "Transit Station Congestion Index Research Based on Pedestrian Simulation and Gray Clustering Evaluation," Discrete Dynamics in Nature and Society, Hindawi, vol. 2013, pages 1-8, December.
    14. Bowes, David R. & Ihlanfeldt, Keith R., 2001. "Identifying the Impacts of Rail Transit Stations on Residential Property Values," Journal of Urban Economics, Elsevier, vol. 50(1), pages 1-25, July.
    15. Seo, Kihwan & Golub, Aaron & Kuby, Michael, 2014. "Combined impacts of highways and light rail transit on residential property values: a spatial hedonic price model for Phoenix, Arizona," Journal of Transport Geography, Elsevier, vol. 41(C), pages 53-62.
    16. Becky P. Y. Loo & Frederic du Verle, 2017. "Transit-oriented development in future cities: towards a two-level sustainable mobility strategy," International Journal of Urban Sciences, Taylor & Francis Journals, vol. 21(0), pages 54-67, August.
    17. Nilsson, Isabelle & Delmelle, Elizabeth, 2018. "Transit investments and neighborhood change: On the likelihood of change," Journal of Transport Geography, Elsevier, vol. 66(C), pages 167-179.
    18. Kristine Laura Canales & Isabelle Nilsson & Elizabeth Delmelle, 2019. "Do light rail transit investments increase employment opportunities? The case of Charlotte, North Carolina," Regional Science Policy & Practice, Wiley Blackwell, vol. 11(1), pages 189-202, March.
    19. Kevin Credit, 2018. "Transit-oriented economic development: The impact of light rail on new business starts in the Phoenix, AZ Region, USA," Urban Studies, Urban Studies Journal Limited, vol. 55(13), pages 2838-2862, October.
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