Understanding the determinants of demand for public transport: Evidence from suburban rail operations in five divisions of Indian Railways
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DOI: 10.1016/j.tranpol.2016.02.006
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- Ingvardson, Jesper Bláfoss & Nielsen, Otto Anker, 2018. "How urban density, network topology and socio-economy influence public transport ridership: Empirical evidence from 48 European metropolitan areas," Journal of Transport Geography, Elsevier, vol. 72(C), pages 50-63.
- Liu, Xiaobing & Yan, Xuedong & Liu, Feng & Wang, Rui & Leng, Yan, 2019. "A trip-specific model for fuel saving estimation and subsidy policy making of carpooling based on empirical data," Applied Energy, Elsevier, vol. 240(C), pages 295-311.
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Keywords
Fare elasticity; Demand for public transport; Suburban rail operations in India; Static/dynamic modelling; Bootstrapping;All these keywords.
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