| Empirical Bayesian analysis of accident severity for motorcyclists in large French urban areas M De Lapparent Accident Analysis & Prevention 38 (2), 260-268, 2006 | 154 | 2006 |
| Use cases for blockchain in the energy industry opportunities of emerging business models and related risks MJ Bürer, M de Lapparent, V Pallotta, M Capezzali, M Carpita Computers & Industrial Engineering 137, 106002, 2019 | 114 | 2019 |
| Process and context in choice models M Ben-Akiva, A de Palma, D McFadden, M Abou-Zeid, PA Chiappori, ... Marketing Letters 23, 439-456, 2012 | 105 | 2012 |
| Train timetable design under elastic passenger demand T Robenek, SS Azadeh, Y Maknoon, M de Lapparent, M Bierlaire Transportation research Part b: methodological 111, 19-38, 2018 | 93 | 2018 |
| Willingness to use safety belt and levels of injury in car accidents M de Lapparent Accident Analysis & Prevention 40 (3), 1023-1032, 2008 | 81 | 2008 |
| Probabilistic speed–density relationship for pedestrian traffic M Nikolić, M Bierlaire, B Farooq, M de Lapparent Transportation Research Part B: Methodological 89, 58-81, 2016 | 47 | 2016 |
| Location choice with longitudinal WiFi data A Danalet, L Tinguely, M de Lapparent, M Bierlaire Journal of choice modelling 18, 1-17, 2016 | 43 | 2016 |
| Location choices of newly created establishments: Spatial patterns at the aggregate level S Buczkowska, M de Lapparent Regional Science and Urban Economics 48, 68-81, 2014 | 39 | 2014 |
| Perceived comfort and values of travel time savings in the Rhône-Alpes Region H Bouscasse, M de Lapparent Transportation research part A: policy and practice 124, 370-387, 2019 | 38 | 2019 |
| Individual cyclists’ probability distributions of severe/fatal crashes in large French urban areas M de Lapparent Accident Analysis & Prevention 37 (6), 1086-1092, 2005 | 38 | 2005 |
| Correcting for endogeneity due to omitted attitudes: Empirical assessment of a modified MIS method using RP mode choice data A Fernández-Antolín, CA Guevara, M De Lapparent, M Bierlaire Journal of choice modelling 20, 1-15, 2016 | 34 | 2016 |
| A comparison of euclidean distance, travel times, and network distances in location choice mixture models S Buczkowska, N Coulombel, M de Lapparent Networks and spatial economics 19 (4), 1215-1248, 2019 | 32 | 2019 |
| Making land use–Transport models operational tools for planning: From a top-down to an end-user approach M Saujot, M De Lapparent, E Arnaud, E Prados Transport Policy 49, 20-29, 2016 | 25 | 2016 |
| Attitude toward risk of time loss in travel activity and air route choices M De Lapparent Journal of Intelligent Transportation Systems 14 (3), 166-178, 2010 | 24 | 2010 |
| Assisted specification of discrete choice models N Ortelli, T Hillel, FC Pereira, M de Lapparent, M Bierlaire Journal of choice modelling 39, 100285, 2021 | 23 | 2021 |
| Non-linearities in the valuation of time estimates M De Lapparent, A De Palma, C Fontan Publication of: Association for European Transport, 2002 | 19* | 2002 |
| Long distance mode choice and distributions of values of travel time savings in three European countries M de Lapparent, KW Axhausen, A Frei Arbeitsberichte Verkehrs-und Raumplanung 570, 2009 | 18 | 2009 |
| Women’s mode and trip structure choices in daily activity-travel: a developing country perspective MA Arman, N Khademi, M de Lapparent Transportation planning and technology 41 (8), 845-877, 2018 | 17 | 2018 |
| Analyzing time sensitivity to discomfort in the Paris subway: an interval data model approach M de Lapparent, M Koning Transportation 43, 913-933, 2016 | 17 | 2016 |
| How long to own and how much to use a car? A dynamic discrete choice model to explain holding duration and driven mileage M de Lapparent, G Cernicchiaro Economic Modelling 29 (5), 1737-1744, 2012 | 17 | 2012 |
