Our Work

  1. Selected Publications
  2. Books and Chapters
  3. Data and Software
  4. Data Visualisation

Selected publications

[See more on Google Scholar]

  • Yang, Y., Boussad, Y., Kandt, J., Mehran, B. and Manley, E., Grant-Muller, S., 2026. Identifying the recurring travel patterns among older people: A mobility motif analysis with smartphone track and trace data. Journal of Transport & Health 46, 102222.
  • Bastarianto, F.F., Hancock, T.O., Ilahi, A., Manley, E. and Choudhury, C.F., 2025. ‘Mind the Gap’—The impact of discrepancies between Google Maps API and reported travel data in the Global South. Case Studies on Transport Policy 21, 101508.
  • Coutrot, A., Kievit, R.A., Ritchie, S.J., Manley, E., Wiener, J.M., Hölscher, C., Dalton, R.C., Hornberger, M. and Spiers, H.J., 2025. Education Is Positively and Causally Linked With Spatial Navigation Ability Across the Lifespan. Open Mind 9, 926–939.
  • Fernandez Velasco, P., Griesbauer, E.-M., Brunec, I.K., Morley, J., Manley, E., McNamee, D.C. and Spiers, H.J., 2025. Expert navigators deploy rational complexity–based decision precaching for large-scale real-world planning. PNAS. 122, e2407814122.
  • Griesbauer, E.-M., Velasco, P.F., Coutrot, A., Wiener, J.M., Morley, J.G., McNamee, D., Manley, E. and Spiers, H.J., 2025. London taxi drivers exploit neighbourhood boundaries for hierarchical route planning. Cognition 256, 106014.
  • Malleson, N., Crooks, A., Heppenstall, A. and Manley, E., 2025. Enhancing Spatial Reasoning and Behaviour in Urban ABMs with Large-Language Models and Geospatial Foundation Models, in: The 19th International Conference on Computational Urban Planning and Urban Management (CUPUM).
  • Bai, Y., Prédhumeau, M. and Manley, E., 2025. Understanding the Temporal Dynamics of Urban Traffic Disruptions: A Stage-Based Congestion Model, in: The 19th International Conference on Computational Urban Planning and Urban Management (CUPUM).
  • Morrissey, S., Jeffs, S., Gillings, R., Khondoker, M., Fisher-Morris, M., Manley, E. and Hornberger, M., 2025a. The impact of urban vs rural environments on driving mobility and safety in older age. Transportation Research Part F: Traffic Psychology and Behaviour 114, 821–830.
  • Morrissey, S., Jeffs, S., Gillings, R., Khondoker, M., Varshney, A., Fisher-Morris, M., Manley, E. and Hornberger, M., 2025b. GPS navigation assistance is associated with driving mobility in older drivers. PLOS digital health 4, e0000768.
  • Pham, H.D., Narasimhamurthy, S.M., Mehran, B., Manley, E. and Ashraf, A., 2025. Reinforcement learning based estimation of shortest paths in dynamically changing transportation networks. Frontiers in Future Transportation 6, 1524232.
  • Prakoso, H. and Manley, E., 2025. A Cloud-Native Architecture for Web Mapping Visualisation While Protecting Sensitive Geospatial Data: A Case Study on Adherence Rate to Speed Limits in British Cities, in: Proceedings of the 1st ACM SIGSPATIAL International Workshop on Human-Centered Geospatial Computing.
  • Prédhumeau, M. and Manley, E., 2025. Agent-based modelling of older adult needs for autonomous mobility-on-demand: a case study in Winnipeg, Canada. Transportation.
  • Sharath, M.N., Mehran, B., Ashraf, A., Grant-Muller, S. and Manley, E., 2024. Optimizing travel costs of feeder-integrated public transport system: A methodology. Transportation Research Interdisciplinary Perspectives 28, 101289.
  • Smith, P., Gould, M. and Manley, E., 2025. The rise and fall of twitter data in urban analytics. Findings.
  • Smith, P., Manley, E. and Gould, M., 2025. Assessing Performance in Extracting Topological, Direction and Distance Spatial Relations from Reddit using LLMs, in: CEUR Workshop Proceedings. CEUR Workshop Proceedings.
  • Yang, Y., Chen, Y., Lv, Y.Y., Jia, X.Y., Lin, X.J., Yan, X.Y., Jia, B. and Manley, E., 2024. Quantifying city freight mobility segregation associated with truck multi-tours behavior. Sustainable Cities and Society, 113, p.105699.
  • Baudains, P., Kalatian, A., Choudhury, C.F. and Manley, E., 2024. Social inequality and the changing patterns of travel in the pandemic and post-pandemic era. Journal of Transport Geography, 118, p.103923.
  • Zhang, Y., Manley, E., Martens, K. and Batty, M., 2024. A metro smart card data-based analysis of group travel behaviour in Shanghai, China. Journal of Transport Geography114, p.103764.
  • Yavuz, E., Manley, E., Gahnstrom, C.J., Goodroe, S., Coutrot, A., Hornberger, M. and Spiers, H., 2024. Individuals learning to drive solo before age 18 have superior spatial navigation ability compared with those who learn later. Spatial Cognition & Computation, pp.1-18.
  • Morrissey, S., Jeffs, S., Gillings, R., Khondoker, M., Patel, M., Fisher-Morris, M., Manley, E. and Hornberger, M., 2024. The Impact of Spatial Orientation Changes on Driving Behavior in Healthy Aging. The Journals of Gerontology, Series B: Psychological Sciences and Social Sciences79(3), p.gbad188.
  • Pappalardo, L., Manley, E., Sekara, V. and Alessandretti, L., 2023. Future directions in human mobility science. Nature Computational Science, 3(7), pp.588-600.
  • Fernandez-Velasco, P., Coutrot, A., Oloye, H., Wiener, J.M., Dalton, R.C., Holscher, C., Manley, E., Hornberger, M. and Spiers, H.J., 2023. No link between handedness and spatial navigation: evidence from over 400 000 participants in 41 countries. Proceedings of the Royal Society B290(2008), p.20231514.
  • Bastarianto, F.F., Hancock, T.O., Choudhury, C.F. and Manley, E., 2023. Agent-based models in urban transportation: review, challenges, and opportunities. European Transport Research Review, 15(1), pp.1-20
  • Wilson-Aggarwal, J., Gotts, N., Arnold, K., Spyer, M.J., Houlihan, C., Nastouli, E. and Manley, E., 2022. Assessing the spatial-temporal risks of SARS-CoV-2 infection for healthcare-workers in the hospital using behavioural indices from routine data. PLOS ONE.
  • Walkowiak, S., Coutrot, A., Hegarty, M., Velasco, P.F., Wiener, J.M., Dalton, R.C., Hölscher, C., Hornberger, M., Spiers, H.J. and Manley, E., 2022. Cultural determinants of the gap between self-estimated navigation ability and wayfinding performance: evidence from 46 countries. Scientific Reports.
  • Thompson Sargoni, O. and Manley, E., 2023. Neighbourhood-level pedestrian navigation using the construal level theory. Environment and Planning B: Urban Analytics and City Science, p.23998083231158371.
  • Coutrot, A., Lazar, A.S., Richards, M., Manley, E., Wiener, J.M., Dalton, R.C., Hornberger, M. and Spiers, H.J., 2022. Reported sleep duration reveals segmentation of the adult life-course into three phases. Nature Communications, 13(1), p.7697.
  • Wilson-Aggarwal, J.K., Gotts, N., Wong, W.K., Liddington, C., Knight, S., Spyer, M.J., Houlihan, C.F., Nastouli, E. and Manley, E., 2022. Investigating healthcare worker mobility and patient contacts within a UK hospital during the COVID-19 pandemic. Communications Medicine, 2(1)
  • Coutrot, A., Manley, E., Goodroe, S., Gahnstrom, C., Filomena, G., Yesiltepe, D., Dalton, R.C., Wiener, J.M., Hölscher, C., Hornberger, M. and Spiers, H.J., 2022. Entropy of city street networks linked to future spatial navigation ability. Nature, 604(7904), pp.104-110.
  • Zhuang, M., Concannon, D. and Manley, E., 2022. A framework for evaluating dashboards in healthcare. IEEE Transactions on Visualization and Computer Graphics, 28(4), pp.1715-1731.
  • Griesbauer, E.M., Manley, E., Wiener, J.M. and Spiers, H.J., 2022. London taxi drivers: A review of neurocognitive studies and an exploration of how they build their cognitive map of London. Hippocampus, 32(1), pp.3-20.
  • Ross, S., Breckenridge, G., Zhuang, M. and Manley, E., 2021. Household visitation during the COVID-19 pandemic. Scientific Reports, 11(1).
  • Griesbauer, E.M., Manley, E., McNamee, D., Morley, J. and Spiers, H., 2022. What determines a boundary for navigating a complex street network: Evidence from London taxi drivers. The Journal of Navigation, 75(1), pp.15-34.
  • Manley, E., Ross, S. and Zhuang, M., 2021. Changing Demand for New York Yellow Cabs during the COVID-19 Pandemic. Findings, p.22158.
  • Zhang, Y., Marshall, S. and Manley, E., 2021. Understanding the roles of rail stations: Insights from network approaches in the London metropolitan area. Journal of Transport Geography, 94, p.103110.
  • Manley, E., Filomena, G. and Mavros, P., 2021. A spatial model of cognitive distance in cities. International Journal of Geographical Information Science, pp.1-23.
  • Heppenstall, A., Crooks, A., Malleson, N., Manley, E., Ge, J. and Batty, M., 2021. Future Developments in Geographical Agent‐Based Models: Challenges and Opportunities. Geographical Analysis, 53(1), pp.76-91.
  • Filomena, G., Manley, E. and Verstegen, J.A., 2020. Perception of urban subdivisions in pedestrian movement simulation. PLOS ONE, 15(12), p.e0244099.
  • Puthusseryppady, V., Manley, E., Lowry, E., Patel, M. and Hornberger, M., 2020. Impact of road network structure on dementia-related missing incidents: a spatial buffer approach. Scientific Reports, 10(1).
  • Budd, J., Miller, B.S., Manning, E.M., Lampos, V., Zhuang, M., Edelstein, M., Rees, G., Emery, V.C., Stevens, M.M., Keegan, N., Short, M.J., Pillay, D., Manley, E., Cox, I. J., Heymann, D., Johnson, A., and McKendry, R. 2020. Digital technologies in the public-health response to COVID-19. Nature Medicine, pp.1-10.
  • Yao, X., Gao, Y., Zhu, D., Manley, E., Wang, J. and Liu, Y., 2020. Spatial Origin-Destination Flow Imputation Using Graph Convolutional Networks. IEEE Transactions on Intelligent Transportation Systems.
  • Houlihan, C.F. and colleagues, 2020. Pandemic peak SARS-CoV-2 infection and seroconversion rates in London frontline health-care workers. The Lancet, 396(10246).
  • Chuang, F., Manley, E. and Petersen, A., 2020. The role of worldviews in the governance of sustainable mobility. Proceedings of the National Academy of Sciences (PNAS), 117(8), pp.4034-4042.
  • Zhang, Y., Marshall, S., Manley, E. Network Criticality and the Node-Place-Design Model: Classifying Metro Station areas in Greater London. Journal of Transport Geography.
  • Manley, E., Dennett, A. 2019. New Forms of Data for Understanding Urban Activity in Developing Countries. Applied Spatial Analysis and Policy. 12. 1. 45–70.
  • Filomena, G., Verstegen, J., Manley, E. 2019. A Computational Approach to ‘The Image of the City’. Cities. 89. 14-25.
  • Concannon, D., Herbst, K., Manley, E. 2019. Developing a Data Dashboard for Population Health Surveillance: Widening Access to Clinical Trial Findings. JMIR Formative Research. 3. 2. e11342.
  • Coutrot, A., Silva, R., Manley, E., Conroy Dalton, R., Wiener, J. M., Hölscher, C., Bohbot, V., Hornberger, M., Spiers, H. 2018. Global Determinants of Navigation Ability. Current Biology. 28(17), 2861-2866.
  • Sulis, P., Manley, E. Zhong, C., Batty, M. 2018. Using mobility data as proxy for measuring urban vitality. Journal of Spatial Information Science. 16, 137-162.
  • Manley, E., Cheng, T. 2018. Exploring the Role of Spatial Cognition in Predicting Urban Traffic Flow through Agent-based Modeling. Transportation Research Part A: Policy and Practice. 109, 14-23.
  • Demsar, U., Reades, J., Manley, E., Batty, M. 2018. Revisiting the past: Replicating fifty-year-old flow analysis using contemporary taxi flow data. Annals of the American Association of Geographers.
  • Manley, E., Zhong, C., Batty, M. 2016. Spatiotemporal Variation in Travel Regularity through Transit User Profiling. Transportation. 45(3), 703-732.
  • Reades, J., Zhong, C., Manley, E., Milton, R., Batty, M. 2016. Finding Pearls in London’s Oysters. Built Environment. 42 (3), 365-381.
  • Manley, E. 2016. Estimating the Topological Structure of Spatial Knowledge. Applied Spatial Analysis and Policy. 9. 2. 165-189.
  • Zhong, C., Batty, M., Manley, E., Wang, J., Wang, Z., Chen, F. and Schmitt, G., 2016. Variability in Regularity: Mining Temporal Mobility Patterns in London, Singapore and Beijing Using Smart-Card Data. PLOS ONE, 11(2), e0149222.
  • Manley, E. 2015. Estimating Urban Traffic Patterns through Probabilistic Interconnectivity of Road Network Junctions. PLOS ONE. 10(5): e0127095.
  • Manley, E., Addison, J.D., Cheng, T. 2015. Shortest Path or Anchor-Based Route Choice: A Large-Scale Empirical Analysis of Minicab Routing in London. Journal of Transport Geography. 43.
  • Zhong, C., Manley, E., Muller, S., Batty, M., Schmitt, G. 2015. Measuring Variability of Mobility Patterns from Multiday Smart-card Data. Journal of Computational Science. 9. 125-130.
  • Manley, E., Orr, S., Cheng, T. 2015. A Heuristic Model of Bounded Route Choice in Urban Areas. Transportation Research Part C: Emerging Technologies.
  • Manley, E. 2014. Identifying Functional Urban Regions within Traffic Flow. Regional Studies Regional Science. 1. 1. 40-42.
  • Manley, E., Cheng, T., Penn, A., Emmonds, A. 2014. A framework for simulating large-scale complex urban traffic dynamics through hybrid agent-based modelling. Computers, Environment and Urban Systems. 44. 27-36.

Books and Chapters

  • Crooks, A., Malleson, N., Manley, E., Heppenstall, A. 2019. Agent-based Modelling and Geographic Information Systems: A Practical Primer. Sage.
  • Crooks, A., Heppenstall, A., Malleson, N. and Manley, E., 2021. Agent-based modeling and the city: a gallery of applications. In Urban Informatics (pp. 885-910). Springer, Singapore.
  • Cheshire, J., Batty, M., Reades, J., Longley, P., Manley, E. and Milton, R., 2019. CyberGIS for Analyzing Urban Data. In CyberGIS for Geospatial Discovery and Innovation (pp. 33-52). Springer, Dordrecht.
  • Manley, E., Dennett, A., Serras, J., Zachariadis, V., Batty. M. 2016. Visualising London’s Traffic: Flow and Activity in a 21st Century City. In Traffic in Towns: The Next 50 Years.
  • Batty, M., Manley, E., Milton, R., Reades, J. Smart London. In Imagining the Future City: London 2062. London: Ubiquity Press.

Data and Software

Data Visualisations