| Assessing the welfare impacts of Shared Mobility and Mobility as a Service (MaaS) H Becker, M Balac, F Ciari, KW Axhausen Transportation Research Part A: Policy and Practice 131, 228-243, 2020 | 288 | 2020 |
| Synthetic population and travel demand for Paris and Île-de-France based on open and publicly available data S Hörl, M Balac Transportation Research Part C: Emerging Technologies 130, 103291, 2021 | 209* | 2021 |
| Modeling the impact of parking price policy on free-floating carsharing: Case study for Zurich, Switzerland M Balac, F Ciari, KW Axhausen Transportation Research Part C: Emerging Technologies 77, 207-225, 2017 | 125 | 2017 |
| Agent-based models in transport planning: Current state, issues, and expectations GO Kagho, M Balac, KW Axhausen Procedia Computer Science 170, 726-732, 2020 | 116 | 2020 |
| Modeling competing free-floating carsharing operators–A case study for Zurich, Switzerland M Balac, H Becker, F Ciari, KW Axhausen Transportation Research Part C: Emerging Technologies 98, 101-117, 2019 | 107 | 2019 |
| Potential urban air mobility travel time savings: An exploratory analysis of munich, paris, and san francisco R Rothfeld, M Fu, M Balać, C Antoniou Sustainability 13 (4), 2217, 2021 | 104 | 2021 |
| Modelling the effect of different pricing schemes on free-floating carsharing travel demand: a test case for Zurich, Switzerland F Ciari, M Balac, M Balmer Transportation 42, 413-433, 2015 | 102 | 2015 |
| Agent-based simulation of urban air mobility R Rothfeld, M Balac, KO Ploetner, C Antoniou 2018 Modeling and Simulation Technologies Conference, 3891, 2018 | 97 | 2018 |
| Carsharing demand estimation: Zurich, Switzerland, area case study M Balac, F Ciari, KW Axhausen Transportation Research Record 2563 (1), 10-18, 2015 | 84* | 2015 |
| The prospects of on-demand urban air mobility in Zurich, Switzerland M Balac, RL Rothfeld, S Hörl 2019 IEEE intelligent transportation systems conference (ITSC), 906-913, 2019 | 81 | 2019 |
| Pairing discrete mode choice models and agent-based transport simulation with MATSim S Hörl, M Balać, KW Axhausen 2019 TRB annual meeting online, 19-02409, 2019 | 75 | 2019 |
| Dynamic demand estimation for an AMoD system in Paris S Hörl, M Balac, KW Axhausen 2019 IEEE Intelligent Vehicles Symposium (IV), 260-266, 2019 | 72 | 2019 |
| Modeling carsharing with the agent-based simulation MATSim: State of the art, applications, and future developments F Ciari, M Balac, KW Axhausen Transportation Research Record 2564 (1), 14-20, 2016 | 69 | 2016 |
| A first look at bridging discrete choice modeling and agent-based microsimulation in MATSim S Hörl, M Balac, KW Axhausen Procedia computer science 130, 900-907, 2018 | 66 | 2018 |
| Demand estimation for aerial vehicles in urban settings M Balac, AR Vetrella, R Rothfeld, B Schmid IEEE Intelligent Transportation Systems Magazine 11 (3), 105-116, 2019 | 63 | 2019 |
| Initial analysis of urban air mobility’s transport performance in sioux falls R Rothfeld, MI Balac, KO Ploetner, C Antoniou 2018 Aviation Technology, Integration, and Operations Conference, 2886, 2018 | 61 | 2018 |
| Evaluating the influence of carsharing stations’ location on potential membership: a Swiss case study F Ciari, C Weis, M Balac EURO Journal on Transportation and Logistics 5 (3), 345-369, 2016 | 60 | 2016 |
| Understanding travel and mode choice with emerging modes; a pooled SP and RP model in Greater Jakarta, Indonesia A Ilahi, PF Belgiawan, M Balac, KW Axhausen Transportation Research Part A: Policy and Practice 150, 398-422, 2021 | 49 | 2021 |
| Introducing the eqasim pipeline: From raw data to agent-based transport simulation S Hörl, M Balac Procedia Computer Science 184, 712-719, 2021 | 46 | 2021 |
| Simulation of intermodal shared mobility in the San Francisco Bay Area using MATSim M Balac, S Hörl 2021 IEEE international intelligent transportation systems conference (ITSC …, 2021 | 31 | 2021 |
Kay AxhausenProfessor for Transport Planning, ETH Zürichبريد إلكتروني تم التحقق منه على ivt.baug.ethz.ch