| Integrating collection-and-delivery points in the strategic design of urban last-mile e-commerce distribution networks M Janjevic, M Winkenbach, D Merchán Transportation Research Part E: Logistics and Transportation Review 131, 37-67, 2019 | 126 | 2019 |
| Designing multi-tier, multi-service-level, and multi-modal last-mile distribution networks for omni-channel operations M Janjevic, D Merchán, M Winkenbach European Journal of Operational Research 294 (3), 1059-1077, 2021 | 66 | 2021 |
| Using GPS data to explore speed patterns and temporal fluctuations in urban logistics: The case of São Paulo, Brazil PF Laranjeiro, D Merchán, LA Godoy, M Giannotti, HTY Yoshizaki, ... Journal of Transport Geography 76, 114-129, 2019 | 61 | 2019 |
| Urban metrics for urban logistics: Building an atlas for urban freight policy makers D Merchán, EE Blanco, AH Bateman Proceedings of Computers in Urban Planning and Urban Management CUPUM …, 2015 | 52 | 2015 |
| 2021 Amazon Last Mile Routing Research Challenge: Data Set D Merchán, J Arora, J Pachon, K Konduri, M Winkenbach, S Parks, ... Transportation Science 58 (1), 8-11, 2022 | 39 | 2022 |
| Revenue management in last-mile delivery: state-of-the-art and future research directions A Snoeck, D Merchán, M Winkenbach Transportation Research Procedia 46, 109-116, 2020 | 30 | 2020 |
| Quantifying the impact of urban road networks on the efficiency of local trips D Merchan, M Winkenbach, A Snoeck Transportation Research Part A: Policy and Practice 135, 38-62, 2020 | 29 | 2020 |
| An empirical validation and data‐driven extension of continuum approximation approaches for urban route distances D Merchán, M Winkenbach Networks 73 (4), 418-433, 2019 | 28 | 2019 |
| High‐Resolution Last‐Mile Network Design D Merchán, M Winkenbach City Logistics 3: Towards Sustainable and Liveable Cities, 201-214, 2018 | 17 | 2018 |
| Transshipment networks for last-mile delivery in congested urban areas D Merchan, E Blanco, M Winkenbach Logistics and Supply Chain: Bordeaux, France, 2016 | 17 | 2016 |
| Route learning: A machine learning-based approach to infer constrained customers in delivery routes A Snoeck, D Merchán, M Winkenbach Transportation Research Procedia 46, 229-236, 2020 | 15 | 2020 |
| Redesigning a retail distribution network in restricted urban areas: A case study on beverage distribution in the historic center of Quito J Córdova, D Merchán, S Torres Journal of applied research and technology 12 (5), 850-859, 2014 | 15 | 2014 |
| The Near Future of Megacity Logistics. Overview of Best-Practices, Innovative Strategies and Technology Trends for Last-Mile Delivery D Merchán, E Blanco MIT Center for Transportation and Logistics, Massachusetts Institute of …, 2015 | 14 | 2015 |
| City logistics policy toolkit: A study of three latin american cities M Winkenbach, D Merchán, M Janjevic, M Wilson, E Mascarino, X Lavenir, ... Report to the World Wank, 2018 | 8 | 2018 |
| Desafíos para la movilidad de carga en zonas de alta congestión D Merchán, E Blanco Massachusetts Institute of Technology, 13-19, 2016 | 8 | 2016 |
| El perfil logístico de Quito D Merchán Cuestiones Urbanas 5 (1), 93-135, 2015 | 6 | 2015 |
| Transshipment networks for last-mile delivery in congested urban areas DE Merchán Dueñas Massachusetts Institute of Technology, 2015 | 6 | 2015 |
| RFID solutions for the upstream oil & gas supply chain G Gaukler, A Hemmige, D Merchan White Paper, Oil & Gas RFID Consortium, Texas A&M University, 2009 | 5 | 2009 |
| City logistics and clustering: Impacts of using HDI and Taxes RB Castro, D Merchán, OF Lima Jr, M Winkenbach City Logistics 2: Modeling and Planning Initiatives, 131-141, 2018 | 2 | 2018 |
| Effects of road-network circuity on strategic decisions in urban logistics DE Merchán Dueñas Massachusetts Institute of Technology, 2018 | 1 | 2018 |
Matthias WinkenbachMassachusetts Institute of TechnologyVerified email at MIT.EDU
