This paper investigates the issue of spatial equity in the cordon pricing scheme. The spatial inequity is for drivers whose travel destinations are located within the cordon or should travel through it and finally they may face with higher travel time. Thus, to alleviate this inequity, a bi-level multi-objective optimization model is developed. Next, an algorithm is implemented according to the second version of the Strength Pareto Evolutionary Algorithm (SPEA2). Then, the developed model is applied to Sioux Falls network and the results is discussed. The results reveal that it seems reasonable to consider spatial equity as an objective function in cordon pricing. In addition, we can create a sustainable situation for the transportation system by improving spatial inequity with a relatively low reduction in social welfare. Moreover, there are spatial inequity impacts in real networks, which should be considered in the cordon pricing scheme. Furthermore, the developed model can increase the public acceptance of drivers and transportation authorities.
A Model for Cordon Pricing Scheme Considering Spatial Equity
Transp. in Dev. Econ.
2021-10-01
Aufsatz (Zeitschrift)
Elektronische Ressource
Englisch
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