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Revealing the determinants of the intermodal transfer ratio between metro and bus systems considering spatial variations

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References

2012Estimation of a disaggregate multimodal public transport Origin–Destination matrix from passive smartcard data from Santiago, Chile528 cited
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2009Analyzing Multimodal Public Transport Journeys in London with Smart Card Fare Payment Data180 cited
2013Influence of weather conditions on transit ridership: A statistical study using data from Smartcards

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158 cited

2009Not All Transfers Are Created Equal: Towards a Framework Relating Transfer Connectivity to Travel Behaviour157 cited

2014Validating travel behavior estimated from smartcard data156 cited

2016Examining the influence of stop level infrastructure and built environment on bus ridership in Montreal145 cited

Cited by

2024Exploring the Spatiotemporal Effects of the Built Environment on the Nonlinear Impacts of Metro Ridership: Evidence from Xi’an, China31 cited
2023Spatially Varying Impacts of Built Environment on Transfer Ridership of Metro and Bus Systems23 cited
2025How do built environment characteristics influence metro-bus transfer patterns across metro station types in Shanghai?12 cited
2024Impact Evaluation of COVID-19 on Transit Ridership: A Case Study of the Beijing Subway10 cited
2025Investigating the non-linear influence of the built environment on passengers’ travel distance within metro and bus networks using smart card data10 cited
2024How does the built environment affect intermodal transit demand across different spatiotemporal contexts?8 cited
2024Analyzing the transfer duration of public transport passengers using classification and regression tree-multiple-Cox proportional hazards (CART-Multi-Cox) model5 cited