| ‘Truncate, replicate, sample’: A method for creating integer weights for spatial microsimulation R Lovelace, D Ballas Computers, Environment and Urban Systems 41, 1-11, 2013 | 46 | 2013 |
| A spatial microsimulation approach for the analysis of commuter patterns: from individual to regional levels R Lovelace, D Ballas, M Watson Journal of Transport Geography 34, 282-296, 2014 | 37 | 2014 |
| Assessing the energy implications of replacing car trips with bicycle trips in Sheffield, UK R Lovelace, SBM Beck, M Watson, A Wild Energy Policy 39 (4), 2075-2087, 2011 | 31 | 2011 |
| From big noise to big data: Toward the verification of large data sets for understanding regional retail flows R Lovelace, M Birkin, P Cross, M Clarke Geographical Analysis 48 (1), 59-81, 2016 | 30 | 2016 |
| The Propensity to Cycle Tool: An open source online system for sustainable transport planning R Lovelace, A Goodman, R Aldred, N Berkoff, A Abbas, J Woodcock Journal of Transport and Land Use 10 (1), 505 - 528, 2017 | 29 | 2017 |
| Spatial microsimulation with R R Lovelace, M Dumont CRC Press, 2016 | 28 | 2016 |
| The ‘oil vulnerability’of commuter patterns: A case study from Yorkshire and the Humber, UK R Lovelace, I Philips Geoforum 51, 169-182, 2014 | 28 | 2014 |
| Evaluating the performance of iterative proportional fitting for spatial microsimulation: new tests for an established technique R Lovelace, M Birkin, D Ballas, E van Leeuwen Journal of Artificial Societies and Social Simulation 18 (2), 2015 | 19 | 2015 |
| Geotagged tweets to inform a spatial interaction model: a case study of museums R Lovelace, N Malleson, K Harland, M Birkin arXiv preprint arXiv:1403.5118, 2014 | 15 | 2014 |
| Introduction to visualising spatial data in R R Lovelace, J Cheshire CRAN, 2014 | 12 | 2014 |
| Who, where, when: the demographic and geographic distribution of bicycle crashes in West Yorkshire R Lovelace, H Roberts, I Kellar Transportation research part F: traffic psychology and behaviour 41, 277-293, 2016 | 9 | 2016 |
| Cycling promotion schemes and long-term behavioural change: A case study from the University of Sheffield J Uttley, R Lovelace Case studies on transport policy 4 (2), 133-142, 2016 | 8 | 2016 |
| Introducing spatial microsimulation with R: a practical R Lovelace University of Leeds, 2014 | 7 | 2014 |
| Testing web map APIs-Google vs OpenLayers vs Leaflet R Lovelace Robin Lovelace, 2014 | 6 | 2014 |
| The energy costs of commuting: A spatial microsimulation approach R Lovelace University of Sheffield, 2014 | 6 | 2014 |
| Exploring the effect of local transport policies on the adoption of low emission vehicles: Evidence from the London Congestion Charge and Hybrid Electric Vehicles C Morton, R Lovelace, J Anable Transport Policy 60, 34-46, 2017 | 4 | 2017 |
| Barriers to investing in cycling: Stakeholder views from England R Aldred, T Watson, R Lovelace, J Woodcock Transportation Research Part A: Policy and Practice, 2017 | 3 | 2017 |
| Population synthesis with quasirandom integer sampling A Smith, R Lovelace, M Birkin Journal of Artificial Societies and Social Simulation 20 (4), 2017 | 3 | 2017 |
| stplanr: A package for transport planning R Lovelace, R Ellison R Journal, 2017 | 3 | 2017 |
| Efficient R programming C Gillespie, R Lovelace O'Reilly Media, Incorporated, 2016 | 3 | 2016 |
Dimitris BallasProfessor of Economic Geography, University of GroningenVerified email at rug.nl