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

Hollander, Justin B. / Shen, Yaqi

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.

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

Hollander, Justin B. / Shen, Yaqi

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.

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

Hollander, Justin B. / Shen, Yaqi

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.

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Titel:

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

Beteiligte:

Hollander, Justin B. (Autor:in) / Shen, Yaqi (Autor:in)

Erschienen in:

City Networks ; 79-97

Springer Optimization and Its Applications ; 128

Erscheinungsdatum:

01.01.2017

Format / Umfang:

19 pages

ISBN:

978-3-319-65338-9 , 978-3-319-65336-5

ISSN:

1931-6836 , 1931-6828

DOI:

https://doi.org/10.1007/978-3-319-65338-9_5

Medientyp:

Aufsatz/Kapitel (Buch)

Format:

Elektronische Ressource

Sprache:

Englisch

Schlagwörter:

Urban attitudes , Bicycling , Social media , Sentiment analysis , Statistical analysis Mathematics , Calculus of Variations and Optimal Control; Optimization , Mathematical and Computational Engineering , Urbanism , Mathematical Modeling and Industrial Mathematics

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