Dr Jesse O'Hanley

Reader in Environmental Systems Management


Dr O’Hanley joined Kent Business School in 2006. He obtained his BSc in Biological Sciences (with dept. honours) and his MSc in Engineering-Economic Systems & Operations Research from Stanford University and holds a PhD in Environmental Science, Policy & Management from the University of California, Berkeley.

Prior to joining Kent, Dr O’Hanley worked as a postdoctoral researcher in the Environmental Change Institute, University of Oxford and before that was a management consultant to high-tech companies in the Silicon Valley.

Research Interests

Dr O’Hanley’s research focuses on the development of optimisation and simulation techniques for environmental management, facility location, transportation, and logistics. He has written dozens of articles and other publications covering a wide range of theoretical and applied topics, much of it of a highly interdisciplinary nature. Recent work has appeared in leading field journals in operational research and environmental management.

Ongoing lines of inquiry include river infrastructure mitigation and placement, conservation planning, climate change impacts analysis, design of robust facility networks, and managing vehicle/passenger flows. He has carried out advisory and consultancy work for various government agencies, NGOs, and business in the UK and internationally. He is the winner of the prestigious EURO Excellence in Practice Award in recognition for the development of a state-of-the-art decision support tool called OptiPass, which is being used in California, the Pacific Northwest, and other places, to plan on-the-ground river connectivity restoration.


Current supervisees
Past supervisees
  • Thomas Jeffries: Optimising Blood Donation Session Scheduling in South East England
  • Steven King: Economic Valuation and Optimisation of River Barrier Mitigation Actions 
  • Stefano Starita: Optimization Approaches to Protect Transportation Infrastructure against Strategic and Random Disruptions
  • Christina Ioannidou: Optimising River Infrastructure Placement and Mitigation Decisions


Also view these in the Kent Academic Repository

Book section

  • Church, R. et al. (2015). Saving the forest by reducing fire severity: Selective fuels treatment and scheduling. in: Eiselt, H. A. and Marianov, V. eds. Applications of location analysis. Springer, pp. 173-190.
  • Garcia Martinez, M., Silva, A. and O'Hanley, J. (2011). Using stochastic simulation to evaluate the cost-effectiveness of traceability systems: The case of quality control in a fresh produce supply chain. in: Hoorfar, J. et al. eds. Food chain integrity: A holistic approach to food traceability, safety, quality and authenticity. Woodhead Publishing Ltd., pp. 38-50.


  • Ioannidou, C. and O'Hanley, J. (2019). The Importance of Spatiotemporal Fish Population Dynamics in Barrier Mitigation Planning. Biological Conservation [Online] 231:67-76. Available at: https://doi.org/10.1016/j.biocon.2019.01.001.
  • Er?s, T., O'Hanley, J. and Czeglédi, I. (2018). A Unified Model for Optimizing Riverscape Conservation. Journal of Applied Ecology [Online] 55:1871-1883. Available at: http://dx.doi.org/10.1111/1365-2664.13142.
  • Preston, C. et al. (2018). Traffic Modelling at the Port of Dover. Impact [Online] 2018:7-11. Available at: https://doi.org/10.1080/2058802X.2018.1452422.
  • Neeson, T. et al. (2018). Aging infrastructure creates opportunities for cost-efficient restoration of aquatic ecosystem connectivity. Ecological Applications [Online] 28:1494-1502. Available at: https://doi.org/10.1002/eap.1750.
  • Milt, A. et al. (2018). Minimizing opportunity costs to aquatic connectivity restoration while controlling an invasive species. Conservation Biology [Online] 32:894-904. Available at: https://doi.org/10.1111/cobi.13105.
  • Moody, A. et al. (2017). Pet Project or Best Project? Online Decision Support Tools for Prioritizing Barrier Removals in the Great Lakes and Beyond. Fisheries [Online] 42:57-65. Available at: http://dx.doi.org/10.1080/03632415.2016.1263195.
  • Sethi, S. et al. (2017). High value of ecological information for river connectivity restoration. Landscape Ecology [Online] 32:2327-2336. Available at: http://dx.doi.org/10.1007/s10980-017-0571-2.
  • Mingers, J., O'Hanley, J. and Okunola, M. (2017). Using Google Scholar Institutional Level Data to Evaluate the Quality of University Research. Scientometrics [Online] 113:1627-1643. Available at: http://dx.doi.org/10.1007/s11192-017-2532-6.
  • Tran, T., O'Hanley, J. and Scaparra, M. (2017). Reliable hub network design: Formulation and solution techniques. Transportation Science [Online] 51:358-375. Available at: http://dx.doi.org/10.1287/trsc.2016.0679.
  • Tran, T., Scaparra, M. and O'Hanley, J. (2017). A Hypergraph Multi-Exchange Heuristic for the Single-Source Capacitated Facility Location Problem. European Journal of Operational Research [Online] 263:173-187. Available at: http://dx.doi.org/10.1016/j.ejor.2017.04.032.
  • Fraser, I. and O'Hanley, J. (2016). Benefits Transfer and the Aquatic Environment: An Investigation into the Context of Fish Passage Improvement. Journal of Environmental Management [Online] 183:1079-1087. Available at: http://dx.doi.org/10.1016/j.jenvman.2016.09.041.
  • King, S. et al. (2016). A toolkit for optimizing fish passage barrier mitigation actions. Journal of Applied Ecology [Online] 54:599-611. Available at: http://dx.doi.org/10.1111/1365-2664.12706.
  • Starita, S., Scaparra, M. and O'Hanley, J. (2016). A dynamic model for road protection against flooding. Journal of the Operational Research Society [Online] 68:74-88. Available at: http://dx.doi.org/10.1057/s41274-016-0019-0.
  • Ioannidou, C. and O'Hanley, J. (2016). Eco-friendly location of small hydropower. European Journal of Operational Research [Online] 264:907-918. Available at: http://dx.doi.org/10.1016/j.ejor.2016.06.067.
  • Diebel, M. et al. (2015). Effects of road crossings on habitat connectivity for stream-resident fish. River Research and Applications 31:1251-1261.
  • Neeson, T. et al. (2015). Enhancing ecosystem restoration efficiency through spatial and temporal coordination. Proceedings of the National Academy of Sciences USA 112:6236-6241.
  • King, S. and O'Hanley, J. (2014). Optimal fish passage barrier removal – Revisited. River Research and Applications [Online]. Available at: http://dx.doi.org/10.1002/rra.2859.
  • O'Hanley, J. et al. (2013). Restoring stream habitat connectivity: A proposed method for prioritizing the removal of resident fish passage barriers. Journal of Environmental Management [Online] 125:19-27. Available at: http://dx.doi.org/10.1016/j.jenvman.2013.02.055.
  • Warren, R. et al. (2013). The AVOID programme's new simulations of the global benefits of stringent climate change mitigation. Climatic Change [Online] 120:55-70. Available at: http://dx.doi.org/10.1007/s10584-013-0814-4.
  • O'Hanley, J., Scaparra, M. and García-Quiles, S. (2013). Probability chains: A general linearization technique for modeling reliability in facility location and related problems. European Journal of Operational Research [Online] 230:63-75. Available at: http://dx.doi.org/10.1016/j.ejor.2013.03.021.
  • Losada, C., Scaparra, M. and O'Hanley, J. (2012). Optimizing system resilience: A facility protection model with recovery time. European Journal of Operational Research [Online] 217:517-530. Available at: http://dx.doi.org/10.1016/j.ejor.2011.09.044.
  • O'Hanley, J. (2011). Open rivers: Barrier removal planning and the restoration of free-flowing rivers. Journal of Environmental Management [Online] 92:3112-3120. Available at: http://dx.doi.org/10.1016/j.jenvman.2011.07.027.
  • Gosling, S. et al. (2011). A review of recent developments in climate change science. Part II: The global-scale impacts of climate change. Progress in Physical Geography [Online] 35:443-464. Available at: http://dx.doi.org/10.1177/0309133311407650.
  • O'Hanley, J. and Church, R. (2011). Designing robust coverage networks to hedge against worst-case facility losses. European Journal of Operational Research [Online] 209:23-36. Available at: http://dx.doi.org/10.1016/j.ejor.2010.08.030.
  • Kemp, P. and O'Hanley, J. (2010). Procedures for prioritizing the removal of fish migration barriers: A review and synthesis. Fisheries Management and Ecology [Online] 17:297-322. Available at: http://dx.doi.org/10.1111/j.1365-2400.2010.00751.x.
  • O'Hanley, J. (2009). Using the right tool to get the job done - Recommendations on the use of exact and heuristics methods for solving resource allocation problems in environmental planning and management. Biological Conservation [Online] 142:697-698. Available at: http://dx.doi.org/10.1016/j.biocon.2008.12.024.
  • O'Hanley, J. (2009). NeuralEnsembles: A neural network based ensemble forecasting program for habitat and bioclimatic suitability analysis. Ecography [Online] 32:89-93. Available at: http://dx.doi.org/10.1111/j.1600-0587.2008.05601.x.
  • Vos, C. et al. (2008). Adapting landscapes to climate change: Examples of climate-proof ecosystem networks and priority adaptation zones. Journal of Applied Ecology [Online] 45:1722-1731. Available at: http://dx.doi.org/10.1111/j.1365-2664.2008.01569.x.
  • O'Hanley, J., Church, R. and Gilless, J. (2007). The importance of in situ site loss in nature reserve selection: Balancing notions of complementarity and robustness. Biological Conservation [Online] 135:170-180. Available at: http://dx.doi.org/10.1016/j.biocon.2006.10.004.
  • O'Hanley, J., Church, R. and Gilless, J. (2007). Locating and protecting critical reserve sites to minimize expected and worst-case losses. Biological Conservation [Online] 134:130-141. Available at: http://dx.doi.org/10.1016/j.biocon.2006.08.009.
  • O'Hanley, J. and Tomberlin, D. (2005). Optimizing the removal of small fish passage barriers. Environmental Modeling and Assessment [Online] 10:85-98. Available at: http://dx.doi.org/10.1007/s10666-004-4268-y.


  • Kerr, J. et al. (2016). Part A: Locating, surveying and prioritising mitigation actions for stream barriers. University of Southampton.
  • O'Hanley, J. (2016). Summary and key findings from Big Lake barrier prioritization analysis – A report to USFWS, Anchorage Field Office. US Fish and Wildlife Service.
  • O'Hanley, J. (2014). OptiPass: The migratory fish passage optimization tool, version 1.0 user manual. Ecotelligence, LLC.
  • Kemp, P. and O'Hanley, J. (2014). Review of "California Salmonid Habitat Restoration Manual, Part IX: Fish Passage Evaluation at Stream Crossings" – A Report to the California Fish Passage Forum. US Fish and Wildlife Service.
  • Warren, R. et al. (2010). The economics and climate change impacts of various greenhouse gas emission pathways and a comparison between baseline and policy emission scenarios. DEFRA Report (No. AV/WS1/D3/R01). Available at: http://www.metoffice.gov.uk/avoid/files/resources-researchers/AVOID_WS1_D3_01_20100122.pdf.
  • O'Hanley, J. (2010). ResFish v1.0 user manual. Kent Business School.
  • Warren, R. et al. (2009). Review of literature subsequent to IPCC AR4. DEFRA Report (No. AV/WS1/D2/R01). Available at: http://www.metoffice.gov.uk/avoid/files/resources-researchers/AVOID_WS1_D2_01_20090725.pdf.
  • Kemp, P. et al. (2008). Recommendations for a "coarse-resolution rapid-assessment" methodology to assess barriers to fish migration and associated prioritization tools. Scottish Environment Protection Agency. Available at: http://www.sniffer.org.uk/Webcontrol/Secure/ClientSpecific/ResourceManagement/UploadedFiles/SEPA_WFD111_Phase1_FishBarrierPorosity_FinalReport.pdf.
  • Berry, P. et al. (2007). Modelling natural resource responses to climate change (MONARCH): MONARCH 3 contract report. UKCIP. Available at: http://www.ukcip.org.uk/publications/.
  • Smithers, R. et al. (2007). Appendix 2: Limits to climate space modelling. UK Climate Impacts Programme.
  • Berry, P. et al. (2007). Assessing the vulnerability of species in Europe and the biogeographical regions to climate change. Natural England. Available at: http://webarchive.nationalarchives.gov.uk/20081125212930/http:/www.branchproject.org/reports/Annex2_1.pdf.
  • Walmsley, C. et al. (2007). Future changes in potentially suitable climate space for BAP species. UKCIP.
  • Pearson, R. et al. (2007). Appendix 1: Further details of the methodology. UK Climate Impacts Programme.
  • Berry, P., O'Hanley, J. and Thomson, C. (2007). Spatial planning for chalk grassland and heathland habitats in Hampshire. Natural England, Peterborough, England. Available at: http://webarchive.nationalarchives.gov.uk/20081125212930/http:/www.branchproject.org/reports/hampshire.pdf.

Conference or workshop item

  • O'Hanley, J. et al. (2015). Prioritizing barrier removals in Great Lakes tributaries: Balancing tradeoffs between native and invasive fish species. in: International Conference on Engineering & Ecohydrology for Fish Passage.
  • O'Hanley, J. (2015). Let a river run through it: Optimising river connectivity restoration. in: European Conference on Operational Research (EURO XXVII).
  • O'Hanley, J. and Ioannidou, C. (2015). Optimizing the location of small hydropower. in: European Conference on Operational Research (EURO XXVII).
  • O'Hanley, J., Tran, T. and Scaparra, M. (2014). The unreliable hub location problem: Formulation and solution techniques. in: International Symposium on Locational Decisions (ISOLDE XIII).
  • Scaparra, M., Tran, T. and O'Hanley, J. (2014). A hypergraph multi-exchange heuristic for the single-source capacitated facility location problem. in: International Symposium on Locational Decisions (ISOLDE XIII).
  • O'Hanley, J. et al. (2013). On the cutting-edge: Optimizing fish passage mitigation decisions in California watersheds. in: International Conference on Engineering & Ecohydrology for Fish Passage.
  • O'Hanley, J., Scaparra, M. and García-Quiles, S. (2012). A general linearization technique for modeling reliability in facility location: Applications to problems with site-dependent failure probabilities. in: International Symposium on Locational Decisions (ISOLDE XII).
  • O'Hanley, J. et al. (2011). An optimization planning model for maximizing habitat connectivity for stream resident fish. in: National Conference on Engineering & Ecohydrology for Fish Passage (Fish Passage 2011).
  • Scaparra, M., O'Hanley, J. and García-Quiles, S. (2010). An integer programming formulation for the non-uniform p-median problem with unreliable facilities. in: European Conference on Operational Research (EURO XXIV).
  • O'Hanley, J., Scaparra, M. and García-Quiles, S. (2010). An exact linear reformulation of the maximum expected covering problem. in: European Conference on Operational Research (EURO XXIV).
  • O'Hanley, J., Diebel, M. and Wright, J. (2009). Targeting the removal of artificial in-stream bariers for the benefit of resident fish. in: European Conference on Operational Research (EURO XXIII).
  • O'Hanley, J. and Tomberlin, D. (2009). How to choose: Prioritizing the removal of fish passage barriers. in: Sanders, D. L. and Pla, L. M. eds. OR Society (OR50) Annual Conference. pp. 355-364. Available at: http://journals.cambridge.org/action/displayAbstract?fromPage=online&aid=5477328&fulltextType=AB&fileId=S0021859609008570.
  • O'Hanley, J. and Church, R. (2008). Designing robust coverage networks to hedge against worst-case facility losses. in: International Symposium on Locational Decisions (ISOLDE XI).
  • O'Hanley, J. (2006). Minimizing expected and worst-case coverage loss. in: Institute of Operations Research and Management Science International (INFORMS) International.
  • O'Hanley, J., Berry, P. and Harrison, P. (2005). Vulnerability indices for assessing the impacts of climate change. in: Sede Antonio Machado Workshop on Predictive Modelling of Species Distributions: New Tools for the XXI Century.
  • O'Hanley, J. (2005). Strategic conservation planning in an uncertain world: Locating and protecting critical reserve sites. in: Institute of Operations Research and Management Science (INFORMS).
  • O'Hanley, J. (2004). Planning for Site Loss in Reserve Site Selection. in: CORS/INFORMS Joint International Meeting.
  • O'Hanley, J. and Church, R. (2002). Constructing reserve networks with minimum reliance on individual sites. in: Institute for Operations Research and the Management Sciences (INFORMS).


  • Giannico, G. and O'Hanley, J. (2015). Integrating fish passage in watershed restoration plans: How to prioritize actions and monitor their effectiveness. [Tutorial at Fish Passage 2015 Conference].
  • Wildman, L., O'Hanley, J. and Fernández Garrido, P. (2015). Dam removal. [Tutorial at Fish Passage 2015 Conference].
  • O'Hanley, J. (2014). Reliable hub network design. [Invited Talk at University of Portsmouth].
  • O'Hanley, J. (2013). A cut above: Optimising blood collection in South East England. [Invited Talk at University of Southampton].
  • O'Hanley, J. (2013). Optimizing barrier mitigation decisions. [Tutorial at Fish Passage 2013 Conference].
  • O'Hanley, J. (2013). Enhancing supply chain management of the NHS Blood and Transplant through optimal scheduling of blood donation sessions. [Invited Talk at Karlsruhe Institute of Technology (KIT)]. Available at: http://dol.ior.kit.edu/english/96_663.php.
  • O'Hanley, J. (2012). Optimizing fish passage in California's salmon bearing streams. [Invited Talk at University of Wisconsin].
  • O'Hanley, J. (2011). Efficient resource allocation for river connectivity and habitat restoration. [Invited Talk at University of Kent].
  • O'Hanley, J. (2008). Planning for disaster - Designing robust coverage networks to hedge against worst-case facility losses. [Invited Talk at Hong Kong Baptist University].
Showing 74 of 75 total publications in KAR. [See all in KAR]