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Determinants of passengers' ticketing channel choice in rail transit systems: New evidence of e-payment behaviors from Xi'an, China

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References

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2018Machine Learning Travel Mode Choices: Comparing the Performance of an Extreme Gradient Boosting Model with a Multinomial Logit Model214 cited
2020“These devices have not been made for older people's needs” – Older adults' perceptions of digital technologies in Finland and Ireland214 cited
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2020Assessment of mobile technology use in the emerging market: Analyzing intention to use m-payment services in India176 cited
2022Predicting the travel mode choice with interpretable machine learning techniques: A comparative study170 cited
2016Weather, transport mode choices and emotional travel experiences166 cited
2021Why do people use mobile payment technologies and why would they continue? An examination and implications from India

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144 cited

2004A multidimensional mixed ordered-response model for analyzing weekend activity participation141 cited

2008Travel Mode Choice Modeling with Support Vector Machines127 cited

2020Transaction factors’ influence on the choice of payment by Polish consumers83 cited

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2024Is customized bus service for commuter segments the need of the hour? An integrated IPA-machine learning framework to redefine commuter segments based on quality expectations8 cited
2025Investigating Holiday Subway Travel Flows with Spatial Correlations Using Mobile Payment Data: A Case Study of Hangzhou5 cited
2025Why metro passengers change travel behavior: Individual-level insights from interpretable machine learning5 cited
2025Does location of entrance/exit matter? Reexamining built environment factors of commuter ridership using high-quality LBS data3 cited