Publications

Selected Publications

2025

Liao, Y., Torbjörnsson, C., Gil, J., Pereira, R. H. M., Yeh, S., Gohl, N., Schrauth, P., & Alessandretti, L. (2025). Uncovering the social and spatial effects of fare cuts on public transport with mobile geolocation data. Transportation Research Part A: Policy and Practice, 200, 104647. https://doi.org/10.1016/j.tra.2025.104647

Liao, Y., Gil, J., Yeh, S., Pereira, R. H. M., & Alessandretti, L. (2025). Socio-spatial segregation and human mobility: A review of empirical evidence. Computers, Environment and Urban Systems, 117, 102250. https://doi.org/10.1016/j.compenvurbsys.2025.102250

Liao, Y., Gil, J., Yeh, S., Pereira, R. H. M., & Alessandretti, L. (2025). The effect of limited mobility on the experienced segregation of foreign-born minorities. npj Sustainable Mobility and Transport, 2(1), 29. https://doi.org/10.1038/s44333-025-00046-4

2023

Liao, Y., Tozluoğlu, Ç., Sprei, F., Yeh, S., & Dhamal, S. (2023). Impacts of charging behavior on BEV charging infrastructure needs and energy use. Transportation Research Part D: Transport and Environment, 116, 103645. https://doi.org/10.1016/j.trd.2023.103645

2021

Liao, Y. (2021). Ride-sourcing compared to its public-transit alternative using big trip data. Journal of Transport Geography, 95, 103135. https://doi.org/10.1016/j.jtrangeo.2021.103135

2020

Liao, Y., Gil, J., Pereira, R. H. M., Yeh, S., & Verendel, V. (2020). Disparities in travel times between car and transit: Spatiotemporal patterns in cities. Scientific Reports, 10(1), 4056. https://doi.org/10.1038/s41598-020-61077-0

Full Publication List

[1]

Liao, Y., Delussu, F., Sojo, S. de, Alessandretti, L., & Desiderio, A. (2026). Urban mobility enables deprivation bubble breaking in indian and mexican cities. arXiv preprint arXiv:2603.29782. https://doi.org/10.48550/arXiv.2603.29782

[2]

Hu, L., Liao, Y., Gao, K., Jin, S., & Precup, R.-E. (2025). Integration of e-scooter sharing with public transit on employment accessibility and equity. Transportation Research Part D: Transport and Environment, 140, 104604. https://doi.org/10.1016/j.trd.2025.104604

[3]

Liao, Y., Gil, J., Yeh, S., Pereira, R. H., & Alessandretti, L. (2025). Socio-spatial segregation and human mobility: A review of empirical evidence. Computers, Environment and Urban Systems, 117, 102250. https://doi.org/10.1016/j.compenvurbsys.2025.102250

[4]

Liao, Y., Gil, J., Yeh, S., Pereira, R. H., & Alessandretti, L. (2025). The effect of limited mobility on the experienced segregation of foreign-born minorities. npj Sustainable Mobility and Transport, 2(1), 29. https://doi.org/10.1038/s44333-025-00046-4

[5]

Liao, Y., Pereira, R. H. M., Gil, J., De Sojo Caso, S., & Alessandretti, L. (2025). On the relationship between space-time accessibility and leisure activity participation. arXiv preprint. https://doi.org/10.48550/arXiv.2510.10307

[6]

Liao, Y., Torbjörnsson, C., Gil, J., Pereira, R. H., Yeh, S., Gohl, N., Schrauth, P., & Alessandretti, L. (2025). Uncovering the social and spatial effects of fare cuts on public transport with mobile geolocation data. Transportation Research Part A: Policy and Practice, 200, 104647. https://doi.org/10.1016/j.tra.2025.104647

[7]

Liu, B., Liao, Y., Yeh, S., Cats, O., Nielsen, K. S., Dong, Z., Wang, Y., Li, Y., Liu, Y., Ni, Z., & others (2025). Scaling behavioral incentives for low-carbon mobility through digital platforms. arXiv preprint arXiv:2511.09237. https://doi.org/10.48550/arXiv.2511.09237

[8]

Tozluoğlu, Ç., Liao, Y., & Sprei, F. (2025). Mobile phone application data for activity plan generation. Transportation, 1–33. https://doi.org/10.1007/s11116-025-10679-6

[9]

Zhan, W., Liao, Y., Deng, J., Wang, Z., & Yeh, S. (2025). Large-scale empirical study of electric vehicle usage patterns and charging infrastructure needs. npj Sustainable Mobility and Transport, 2(1), 9. https://doi.org/10.1038/s44333-024-00023-3

[10]

Gao, K., Jia, R., Liao, Y., Liu, Y., Najafi, A., & Attard, M. (2024). Big-data-driven approach and scalable analysis on environmental sustainability of shared micromobility from trip to city level analysis. Sustainable Cities and Society, 115, 105803. https://doi.org/10.1016/j.scs.2024.105803

[11]

Tozluoğlu, Ç., Liao, Y., & Sprei, F. (2024). Potential of e-bikes to replace passenger car trips and reduce greenhouse gas emissions. Journal of Cycling and Micromobility Research, 2, 100043. https://doi.org/10.1016/j.jcmr.2024.100043

[12]

Yan, H., Liao, Y., Ma, Z., & Ma, X. (2024). Improving multi-modal transportation recommendation systems through contrastive de-biased heterogenous graph neural networks. Transportation Research Part C: Emerging Technologies, 164, 104689. https://doi.org/10.1016/j.trc.2024.104689

[13]

Liao, Y., Tozluoğlu, Ç., Sprei, F., Yeh, S., & Dhamal, S. (2023). Impacts of charging behavior on BEV charging infrastructure needs and energy use. Transportation Research Part D: Transport and Environment, 116, 103645. https://doi.org/10.1016/j.trd.2023.103645

[14]

Tozluoğlu, Ç., Dhamal, S., Yeh, S., Sprei, F., Liao, Y., Marathe, M., Barrett, C. L., & Dubhashi, D. (2023). A synthetic population of sweden: Datasets of agents, households, and activity-travel patterns. Data in Brief, 48, 109209. https://doi.org/10.1016/j.dib.2023.109209

[15]

Liao, Y., Ek, K., Wennerberg, E., Yeh, S., & Gil, J. (2022). A mobility model for synthetic travel demand from sparse traces. IEEE Open Journal of Intelligent Transportation Systems, 3, 665–678. https://doi.org/10.1109/OJITS.2022.3209907

[16]

Yeh, S., Gil, J., Kyle, P., Kishimoto, P., Cazzola, P., Craglia, M., Edelenbosch, O., Fragkos, P., Fulton, L., Liao, Y., & others (2022). Improving future travel demand projections: A pathway with an open science interdisciplinary approach. Progress in Energy, 4(4), 043002. https://doi.org/10.1088/2516-1083/ac86b5

[17]

Li, G., Liao, Y., Guo, Q., Shen, C., & Lai, W. (2021). Traffic crash characteristics in shenzhen, china from 2014 to 2016. International Journal of Environmental Research and Public Health, 18(3), 1176. https://doi.org/10.3390/ijerph18031176

[18]

Liao, Y. (2021). Ride-sourcing compared to its public-transit alternative using big trip data. Journal of Transport Geography, 95, 103135. https://doi.org/10.1016/j.jtrangeo.2021.103135

[19]

Liao, Y. (2021). Understanding mobility and transport modal disparities using emerging data sources: Modelling potentials and limitations. Chalmers Tekniska Hogskola (Sweden). https://research.chalmers.se/en/publication/523982

[20]

Liao, Y., Yeh, S., & Gil, J. (2021). Feasibility of estimating travel demand using geolocations of social media data. Transportation, 1–25. https://doi.org/10.1007/s11116-021-10171-x

[21]

Liao, Y., Gil, J., Pereira, R. H., Yeh, S., & Verendel, V. (2020). Disparities in travel times between car and transit: Spatiotemporal patterns in cities. Scientific reports, 10(1), 4056. https://doi.org/10.1038/s41598-020-61077-0

[22]

Li, G., Li, S. E., Zou, R., Liao, Y., & Cheng, B. (2019). Detection of road traffic participants using cost-effective arrayed ultrasonic sensors in low-speed traffic situations. Mechanical Systems and Signal Processing, 132, 535–545. https://doi.org/10.1016/j.ymssp.2019.07.009

[23]

Liao, Y., Yeh, S., & Jeuken, G. S. (2019). From individual to collective behaviours: Exploring population heterogeneity of human mobility based on social media data. EPJ Data Science, 8(1), 1–22. https://doi.org/10.1140/epjds/s13688-019-0212-x

[24]

Wang, M., Liao, Y., Lyckvi, S. L., & Chen, F. (2019). How drivers respond to visual vs. Auditory information in advisory traffic information systems. Behaviour & Information Technology, 1–12. https://doi.org/10.1080/0144929X.2019.1667439

[25]

Liao, Y., Li, G., Li, S. E., Cheng, B., & Green, P. (2018). Understanding driver response patterns to mental workload increase in typical driving scenarios. IEEE Access, 6, 35890–35900. https://doi.org/10.1109/ACCESS.2018.2851309

[26]

Liao, Y., Wang, M., Duan, L., & Chen, F. (2018). Cross-regional driver–vehicle interaction design: An interview study on driving risk perceptions, decisions, and ADAS function preferences. IET Intelligent Transport Systems, 12(8), 801–808. https://doi.org/10.1049/iet-its.2017.0241

[27]

Liao, Y., & Yeh, S. (2018). Predictability in human mobility based on geographical-boundary-free and long-time social media data. In 2018 21st international conference on intelligent transportation systems (ITSC), pp. 2068–2073. IEEE. https://doi.org/10.1109/ITSC.2018.8569770

[28]

Hu, M., Liao, Y., Wang, W., Li, G., Cheng, B., & Chen, F. (2017). Decision tree-based maneuver prediction for driver rear-end risk-avoidance behaviors in cut-in scenarios. Journal of advanced transportation, 2017(1), 7170358. https://doi.org/10.1155/2017/7170358

[29]

Liao, Y., Duan, L., Wang, M., & Chen, F. (2017). Cross-regional study on driver response behavior patterns and system acceptance with triggered forward collision warning. In 2017 IEEE intelligent vehicles symposium (IV), pp. 565–570. IEEE. https://doi.org/10.1109/IVS.2017.7995778

[30]

Liao, Y., Li, G., & Chen, F. (2017). Context-adaptive support information for truck drivers: An interview study on its contents priority. In 2017 IEEE intelligent vehicles symposium (IV), pp. 1268–1273. IEEE. https://doi.org/10.1109/IVS.2017.7995886

[31]

Liao, Y., Li, S. E., Li, G., Wang, W., Cheng, B., & Chen, F. (2016). Detection of driver cognitive distraction: An SVM based real-time algorithm and its comparison study in typical driving scenarios. In 2016 IEEE intelligent vehicles symposium (IV), pp. 394–399. IEEE. https://doi.org/10.1109/IVS.2016.7535416

[32]

Liao, Y., Li, S. E., Wang, W., Wang, Y., Li, G., & Cheng, B. (2016). Detection of driver cognitive distraction: A comparison study of stop-controlled intersection and speed-limited highway. IEEE Transactions on Intelligent Transportation Systems, 17(6), 1628–1637. https://doi.org/10.1109/TITS.2015.2506602

[33]

Li, G., Li, S. E., Liao, Y., Wang, W., Cheng, B., & Chen, F. (2015). Lane change maneuver recognition via vehicle state and driver operation signals—results from naturalistic driving data. In 2015 IEEE intelligent vehicles symposium (IV), pp. 865–870. IEEE. https://doi.org/10.1109/IVS.2015.7225793

[34]

Liao, Y., Li, S. E., Wang, W., Wang, Y., Li, G., & Cheng, B. (2015). The impact of driver cognitive distraction on vehicle performance at stop-controlled intersections. In 2015 IEEE intelligent vehicles symposium (IV), pp. 946–951. IEEE. https://doi.org/10.1109/IVS.2015.7225806