Locating on-street loading and unloading spaces by means of mixed integer programming

Abstract

In an urban freight distribution system, determination of the number and location of loading-unloading places is required to regulate loading-unloading opera ons. This pa-per presents mathema cal models for on-street loading-unloading space loca on based on set-covering problem and p-median problem formula ons. The approaches was tested with real data: an area has 160 city blocks and 60 on-street loading-unloading spaces, in Fortaleza, Brazil. We evaluated four scenarios considering different radius of influence of a loading/unloading spaces. The results indicate this approach has poten al for achieving gains in terms of reduc on of the distance between the clients and the loading and unloading places: considering that the average distance is a performance indicator (ra o between the total distance and the covered clients), a radius of influence of 400 meters has best rela on (0.489) and all clients are covered. The results indicate that the model can be used by planners to allocate loading and unloading area