{"id":"00979238","publications":{"selected_publication":[],"favourites":[],"journal_article":[{"html":"
Wang Y, Hancock TO, Wang Y, Choudhury C.<\/span> 2025.<\/span> Modelling residential relocation behaviour combining passive revealed preference data and stated preference survey data.<\/span> Transport Policy.<\/span> 103789+<\/span> 173<\/span> Tsoleridis P, Choudhury CF, Hess S.<\/span> 2025.<\/span> Using probabilistic clustering techniques as a specification tool for capturing heterogeneity in choice models.<\/span> Transportation Research Part C: Emerging Technologies.<\/span> 105289+<\/span> 179<\/span> Bastarianto FF, Hancock TO, Ilahi A, Manley E, Choudhury CF.<\/span> 2025.<\/span> \u2018Mind the Gap\u2019\u2014The impact of discrepancies between Google Maps API and reported travel data in the Global South.<\/span> Case Studies on Transport Policy.<\/span> 101508-101508+<\/span> 21<\/span> Henriquez-Jara B, Hancock TO, Solernou A, Garcia J, Guevara CA, Choudhury C.<\/span> 2025.<\/span> Modelling the effect of travel experiences in modal choice using virtual reality and physiological sensor data.<\/span> Transportation Research Part C: Emerging Technologies.<\/span> 105178+<\/span> 178<\/span> Wang Y, Choudhury C, Hancock TO, Wang Y.<\/span> 2025.<\/span> Investigating the changes in residential location and commute patterns during the pandemic using smart card data.<\/span> Travel Behaviour and Society.<\/span> 100964+<\/span> 39<\/span> Zannat KE, Choudhury CF, Hess S, Watling D.<\/span> 2024.<\/span> Investigating the relative accuracy of GPS, GSM and CDR data for inferring spatiotemporal travel trajectories.<\/span> IET Intelligent Transport Systems.<\/span> 3013-3033+<\/span> 18<\/span>.S1<\/span> Hancock TO, Hess S, Choudhury CF, Tsoleridis P.<\/span> 2024.<\/span> Decision field theory: An extension for real-world settings.<\/span> Journal of Choice Modelling.<\/span> 100495+<\/span> 52<\/span> Xing J, Liu R, Zhang Y, Choudhury CF, Fu X, Cheng Q.<\/span> 2024.<\/span> Urban network-wide traffic volume estimation under sparse deployment of detectors.<\/span> Transportmetrica A: Transport Science.<\/span> 2197511+<\/span> 20<\/span>.3<\/span> Baudains P, Kalatian A, Choudhury CF, Manley E.<\/span> 2024.<\/span> Social inequality and the changing patterns of travel in the pandemic and post-pandemic era.<\/span> Journal of Transport Geography.<\/span> 103923-103923+<\/span> 118<\/span> Zannat KE, Choudhury CF, Hess S.<\/span> 2024.<\/span> Modelling time-of-travel preferences capturing correlations between departure times and activity durations.<\/span> Transportation Research Part A: Policy and Practice.<\/span> 104081+<\/span> 184<\/span> Chauhan RS, Riis C, Adhikari S, Derrible S, Zheleva E, Choudhury CF, Pereira FC.<\/span> 2024.<\/span> Determining causality in travel mode choice.<\/span> Travel Behaviour and Society.<\/span> 100789+<\/span> 36<\/span> Wang Y, Choudhury C, Hancock TO, Wang Y, Ort\u00fazar JDD.<\/span> 2024.<\/span> Influence of Perceived Risk on Travel Mode Choice during Covid-19.<\/span> Transport Policy.<\/span> 181-191+<\/span> 148<\/span> Zannat KE, Laudan J, Choudhury C, Hess S.<\/span> 2024.<\/span> Developing an Agent-Based Microsimulation for predicting the Bus Rapid Transit (BRT) demand in developing countries: A case study of Dhaka, Bangladesh.<\/span> Transport Policy.<\/span> 92-106+<\/span> 148<\/span> Lizana M, Choudhury C, Watling D.<\/span> 2024.<\/span> Investigating the potential of aggregated mobility indices for inferring public transport ridership changes.<\/span> PLoS One Dias C (eds.)<\/span>.<\/span> e0296686+<\/span> 19<\/span>.1<\/span> Tsoleridis P, Hess S, Choudhury CF.<\/span> 2024.<\/span> Accounting for continuous correlations among alternatives in the context of spatial choice modelling using high resolution mobility data.<\/span> Transportmetrica A: Transport Science.<\/span> 1-45+<\/span> ahead-of-print<\/span>.ahead-of-print<\/span> Watling D, Lizana M, Choudhury C.<\/span> 2023.<\/span> Analysing the impacts of individual-level factors on public transport usage during the COVID-19 pandemic: A comprehensive literature review and meta-analysis.<\/span> Transport Reviews.<\/span> 434-460+<\/span> 44<\/span>.2<\/span> Lizana M, Choudhury C, Watling D.<\/span> 2023.<\/span> Using smart card data to model public transport user profiles in light of the COVID-19 pandemic.<\/span> Travel Behaviour and Society.<\/span> 100620+<\/span> 33<\/span> Hancock TO, Choudhury CF.<\/span> 2023.<\/span> Utilising physiological data for augmenting travel choice models: methodological frameworks and directions of future research.<\/span> Transport Reviews.<\/span> 838-866+<\/span> 43<\/span>.5<\/span> Ali A, Kalatian A, Choudhury CF.<\/span> 2023.<\/span> Comparing and Contrasting Choice Model and Machine Learning Techniques in the Context of Vehicle Ownership Decisions.<\/span> Transportation Research Part A: Policy and Practice.<\/span> 103727+<\/span> 173<\/span> Bastarianto FF, Hancock TO, Choudhury CF, Manley E.<\/span> 2023.<\/span> Agent-based models in urban transportation: Review, challenges, and opportunities.<\/span> European Transport Research Review.<\/span> 19+<\/span> 15<\/span>.1<\/span> Tang T, Liu R, Choudhury C, Fonzone A, Wang Y.<\/span> 2023.<\/span> Predicting hourly boarding demand of bus passengers using imbalanced records from smart-cards: A deep learning approach.<\/span> IEEE Transactions on Intelligent Transportation Systems.<\/span> 5105-5119+<\/span> 24<\/span>.5<\/span> Vallejo-Borda JA, Bhaduri E, Ortiz-Ramirez HA, Arellana J, Choudhury CF, Rodrigiuez-Valencia A, Wadud Z, Goswami AK.<\/span> 2023.<\/span> Modeling the COVID-19 Travel Choices in Colombia and India: A Hybrid Multiple Discrete-Continuous Nested Extreme Value Approach.<\/span> Transportation Research Record.<\/span> 778-801+<\/span> 2677<\/span>.4<\/span> Tsoleridis P, Choudhury CF, Hess S.<\/span> 2023.<\/span> Probabilistic choice set formation incorporating activity spaces into the context of mode and destination choice modelling.<\/span> Journal of Transport Geography.<\/span> 103567+<\/span> 108<\/span> Tsoleridis P, Choudhury C, Hess S.<\/span> 2022.<\/span> Deriving transport appraisal values from emerging revealed preference data.<\/span> Transportation Research Part A: Policy and Practice.<\/span> 225-245+<\/span> 165<\/span> Tsoleridis P, Choudhury CF, Hess S.<\/span> 2022.<\/span> Utilising activity space concepts to sampling of alternatives for mode and destination choice modelling of discretionary activities.<\/span> Journal of Choice Modelling.<\/span> 100336+<\/span> 42<\/span> Zannat K, Choudhury CF, Hess S.<\/span> 2022.<\/span> Modeling Departure Time Choice of Car Commuters in Dhaka, Bangladesh.<\/span> Transportation Research Record.<\/span> 247-262+<\/span> 2676<\/span>.2<\/span> Bogacz M, Hess S, Calastri C, Choudhury CF, Mushtaq F, Awais M, Nazemi M, Eggermond M, Erath A.<\/span> 2021.<\/span> Modelling risk perception using a dynamic hybrid choice model and brain-imaging data: Application to virtual reality cycling.<\/span> Transportation Research Part C: Emerging Technologies.<\/span> 103435+<\/span> 133<\/span> Wang Y, Zhou H, Choudhury C.<\/span> 2021.<\/span> Editorial: Special TRF issue on Sustainable Transport.<\/span> Transportation Research Part F: Traffic Psychology and Behaviour.<\/span> 187-189+<\/span> 82<\/span> Tang T, Fonzone A, Liu R, Choudhury C.<\/span> 2021.<\/span> Multi-stage deep learning approaches to predict boarding behaviour of bus passengers.<\/span> Sustainable Cities and Society.<\/span> 103111+<\/span> 73<\/span> Bwamable A, Choudhury CF, Hess S, Iqbal MS.<\/span> 2021.<\/span> Getting the best of both worlds: a framework for combining disaggregate travel survey data and aggregate mobile phone data for trip generation modelling.<\/span> Transportation.<\/span> 2287-2314+<\/span> 48<\/span>.5<\/span> Bogacz M, Hess S, Choudhury C, Calastri C, Mushtaq F, Nazemi M, Van Eggermond M, Erath A.<\/span> 2021.<\/span> <\/a>
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