Modelling parking behaviour of commercial vehicles: a scoping review
Farah Ghizzawi, Alia Galal, Matthew J. Roorda
Abstract
Parking in dense urban areas is a major challenge for last mile logistics.Parking shortage and policies that do not address commercial vehicles' needs often lead these vehicles to park illegally.This paper conducts a scoping literature review on the parking behaviours of commercial freight and service vehicles, methods used to model these behaviours, and factors that determine their outcomes.Thirty-four studies are included in the review.It is found that commercial vehicles' parking behaviours mainly comprise parking location and type choices including illegal parking, parking duration, and parking cruising.Methods used to model these behaviours primarily include discrete-choice modelling, regression analysis, survival analysis and simulation.We identify key knowledge gaps and provide insights on research opportunities in modelling more complex parking decisions, investigating parking cruising of commercial vehicles, evaluating the implications of freight demand management, and developing data fusion techniques.