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

Justin B. Hollander () and Yaqi Shen
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Justin B. Hollander: Tufts University
Yaqi Shen: Tufts University

Chapter Chapter 5 in City Networks, 2017, pp 79-97 from Springer

Abstract: 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.

Keywords: Urban attitudes; Bicycling; Social media; Sentiment analysis; Statistical analysis (search for similar items in EconPapers)
Date: 2017
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DOI: 10.1007/978-3-319-65338-9_5

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