Abstract
Parking facilities in the urban road network are of the most essential parts of the transportation and traffic system. Considering that many users are not interested in parking in or near the destination zone, or in some cases it is not basically possible to park in this area, the parking demand in each area is not merely associated with the actual land use of that area and is sometimes affected by the land use of the surrounding area. Therefore, estimating the spatial distribution of parking demand is essential to accurately determine the real parking demand, especially in non-marginal urban areas. In conventional methods of estimating the parking demand in each area, it is assumed that the parking areas are located in the same area or distributed uniformly in the surrounding areas, without considering the desirability of the surrounding areas, which has sometimes led to unrealistic estimations. Accordingly, new methods, capable of estimating the real parking demand in each area, are needed. In present study, an innovative method is proposed to predict the spatial distribution of parking demand and then it is applied to the central area of Tehran.
Highlights
The time interval in which a car is stopped in the city is far longer than the time it is moving
Parking areas are located in the same area or distributed uniformly in the surrounding areas, without considering the desirability of the surrounding areas, which has sometimes led to unrealistic estimations
In conventional methods for estimating the parking demand in each area, it is assumed that the park spaces are located in the same area or distributed uniformly in the surrounding areas, without considering the desirability of the surrounding areas, which has sometimes led to unrealistic estimations
Summary
The time interval in which a car is stopped in the city is far longer than the time it is moving. In conventional methods for estimating the parking demand in each area, it is assumed that the park spaces are located in the same area or distributed uniformly in the surrounding areas, without considering the desirability of the surrounding areas, which has sometimes led to unrealistic estimations. The importance of this issue becomes clearer when facing the lack of parking demand in some densely populated areas, or excessive parking demand in some areas despite the lack of travel-attracting land use. It is necessary to accurately estimate the spatial distribution of parking demand in order to determine the real need for parking areas in different zones, especially in the field of parking area locating in non-marginal zones
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