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Detection and analysis of transfer time in urban rail transit system using WIFI data

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References

2013Mining smart card data for transit riders’ travel patterns606 cited
2007Estimating a Rail Passenger Trip Origin‐Destination Matrix Using Automatic Data Collection Systems296 cited
2004Multimodal public transport: an analysis of travel time elements and the interconnectivity ratio247 cited
2016Waiting time perceptions at transit stops and stations: Effects of basic amenities, gender, and security239 cited
2010Travel Time and Transfer Analysis Using Transit Smart Card Data154 cited
2016Estimation of Passenger Route Choice Pattern Using Smart Card Data for Complex Metro Systems134 cited
2012Rail Transit Travel Time Reliability and Estimation of Passenger Route Choice Behavior127 cited
2013Trip purpose inference using automated fare collection data122 cited
2015Urban transport interchanges: A methodology for evaluating perceived quality113 cited
2014Neural networks for analyzing service quality in public transportation111 cited
2015A modified Density-Based Scanning Algorithm with Noise for spatial travel pattern analysis from Smart Card AFC data91 cited
2017Analysis of satisfaction factors at urban transport interchanges: Measuring travellers’ attitudes to information, security and waiting88 cited
2013Using cell phone data to measure quality of service and passenger flows of Paris transit system80 cited
2012

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Model of Passenger Flow Assignment for Urban Rail Transit Based on Entry and Exit Time Constraints

78 cited

2016Estimation of Origin and Destination Information from Bluetooth and Wi-Fi Sensing for Transit76 cited

2015When is big data big enough? Implications of using GPS-based surveys for travel demand analysis76 cited

Cited by

2024Route choice modelling for an urban rail transit network: past, recent progress and future prospects13 cited
2024Trends in Toronto’s Subway Ridership Recovery: An Exploratory Analysis of Wi-Fi Records5 cited
2023Research on the Evaluation of Rail Transit Transfer System Based on the Time Value4 cited
2024Assessing the effects of dockless bicycle-sharing on docked bicycle-sharing usage: Evidence from Xi’an, China3 cited