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Using Social Media Data to Infer Urban Attitudes About Bicycling: An Exploratory Case Study of Washington DC

In: City Networks

Author

Listed:
  • Justin B. Hollander

    (Tufts University)

  • Yaqi Shen

    (Tufts University)

Abstract

Biking as a travel mode has become more and more common and popular recently. However, some problems occured in the development of cycling. This chapter explores the use of microblog data in the form of sentiment analysis and statistical analysis to determine if relationships exist between how bikeable a place is and talking about on the microblog Twitter. The results demonstrate that there is relationship between peoples’ attitudes, bicycling facilities, and physical environment factors. We also provide suggestions about some good strategies of developing cycling for bicycling planners and policymakers by using the results indicated in this study.

Suggested Citation

  • Justin B. Hollander & Yaqi Shen, 2017. "Using Social Media Data to Infer Urban Attitudes About Bicycling: An Exploratory Case Study of Washington DC," Springer Optimization and Its Applications, in: Athanasia Karakitsiou & Athanasios Migdalas & Stamatina Th. Rassia & Panos M. Pardalos (ed.), City Networks, chapter 0, pages 79-97, Springer.
    • Handle: RePEc:spr:spochp:978-3-319-65338-9_5
    DOI: 10.1007/978-3-319-65338-9_5
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    Citations

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    Cited by:

    1. Jisoo Sim & Patrick Miller, 2019. "Understanding an Urban Park through Big Data," IJERPH, MDPI, vol. 16(20), pages 1-16, October.
    2. Parisa Zare & Christopher Pettit & Simone Leao & Ori Gudes, 2022. "Digital Bicycling Planning: A Systematic Literature Review of Data-Driven Approaches," Sustainability, MDPI, vol. 14(23), pages 1-20, December.
    3. Jisoo Sim & Patrick Miller & Samarth Swarup, 2020. "Tweeting the High Line Life: A Social Media Lens on Urban Green Spaces," Sustainability, MDPI, vol. 12(21), pages 1-18, October.

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