چكيده به لاتين
Overload means carrying more than the total permissible and axial load capacity of the vehicle. Overload is a serious problem that cause a lot of damages to the social and economic body of society. These may include damage to infrastructure, increased maintenance costs, the creation of unfair competitive conditions of transportation, increased emissions of environmental pollutants, and ultimately an increased severity of crashes. The main purpose of this thesis is to investigate the important variables and incentives to carry overload on inner-city links. To this end, several variables were defined in four groups: variables related to load, vehicle, environment and driver; and data related to these variables were collected. Field operation method was used for data collection. A total of 436 vehicles were weighted and finally the questionnaires were completed and evaluated. Binary logistic regression model was used for data analysis to determine the variables affecting overload. In the end, the results show that as the capacity of vehicles increases, the likelihood of overloading increases either. The likelihood of overloading by truck trailer is about 2.5 times that of a truck. The likelihood of overloading by truck trailer and truck is about six and two times the likelihood of overloading, respectively. The other result is that the chances of overloading for vehicles used in shipments of construction materials are about two, three and five times higher than those for vehicles with metallic materials, food and scrap.
Keywords: overload, freight vehicles, binary logistic regression model, inner city routs,
