This paper attempts to assess the parking reliability with taking into account drivers' travel choice behaviors under various traffic conditions. Apart from the well-known travel-time reliability, a parking reliability is newly defined as the probability that the drivers' average searching time for parking is less than a given threshold. This is particularly important under conditions of shortage of parking spaces in urban areas. A Monte Carlo simulation approach, which incorporates a combined trip distribution and assignment model with explicit elastic demand function, is proposed to estimate the two reliability measures of road network (i.e. travel-time and parking reliabilities). A numerical example is used to illustrate the applications of the reliability measures and the proposed approach.
The work described in this paper was supported by a research grant from the Institute of Systems Science of Japan (A/C H-ZF21) and a research grant from the Hong Kong Research Grant Council (PolyU 5040/01E) to the Hong Kong Polytechnic University.
Lam, W.H.K. and Tam, M.-L. (2003), "Reliability Assessment on Searching Time for Parking in Urban Areas", Bell, M.G.H. and Iida, Y. (Ed.) The Network Reliability of Transport, Emerald Group Publishing Limited, pp. 61-78. https://doi.org/10.1108/9781786359544-004Download as .RIS
Emerald Group Publishing Limited
Copyright © 2016 Emerald Group Publishing Limited