Grocery distribution plans in urban networks with street crossing penalties

Abstract Following the emergency caused by Covid‐19 pandemic, there is need, among other measures, to modify urban mobility plans in order reduce use of collective public transport, reducing crowding people while also preventing traffic congestion through discouraging private vehicles. From this perspective, retail companies operating within cities must reorganize themselves, considering both unpredictable requirements environmental sustainability and new needs calling for promotion bicycles electric scooters. In context, we deal with need determine minimum cost routes areas delivering orders placed e‐channels. More precisely, face a variant green vehicle routing problem heterogeneous fleets, which objective function includes impact components that differ type. Moreover, as novel issue, attention be paid avoid crossing passing close bicycle lanes; therefore, penalties are associated transit vehicles near lanes. To address problem, propose mixed integer linear programming model matheuristic it. The proposed approach then used analyze different scenarios derived from transportation network city Milan, Italy. Milan one smartest Europe point view but most affected municipality making big investment promote bicycles.