Crime and bus stops: An examination using transit smart card and crime data
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DOI: 10.1177/2399808319890614
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References listed on IDEAS
- Tu, Wei & Cao, Rui & Yue, Yang & Zhou, Baoding & Li, Qiuping & Li, Qingquan, 2018. "Spatial variations in urban public ridership derived from GPS trajectories and smart card data," Journal of Transport Geography, Elsevier, vol. 69(C), pages 45-57.
- Chen, Cynthia & Chen, Jason & Barry, James, 2009. "Diurnal pattern of transit ridership: a case study of the New York City subway system," Journal of Transport Geography, Elsevier, vol. 17(3), pages 176-186.
- Gau, Jacinta M. & Pratt, Travis C., 2010. "Revisiting Broken Windows Theory: Examining the Sources of the Discriminant Validity of Perceived Disorder and Crime," Journal of Criminal Justice, Elsevier, vol. 38(4), pages 758-766, July.
- Loukaitou-Sideris, Anastasia & Liggett, Robert & Hiseki, Hiroyuki, 2002. "The Geography of Transit Crime: Documentation and Evaluation of Crime Incidence on and around the Green Line Stations in Los Angeles," University of California Transportation Center, Working Papers qt6631x3cc, University of California Transportation Center.
- Páez, Antonio & Trépanier, Martin & Morency, Catherine, 2011. "Geodemographic analysis and the identification of potential business partnerships enabled by transit smart cards," Transportation Research Part A: Policy and Practice, Elsevier, vol. 45(7), pages 640-652, August.
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- Benito Zaragozí & Sergio Trilles & Aaron Gutiérrez & Daniel Miravet, 2021. "Development of a Common Framework for Analysing Public Transport Smart Card Data," Energies, MDPI, vol. 14(19), pages 1-22, September.
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Keywords
Transport; crime; routine activity theory; opportunity; smart card;All these keywords.
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