Identifying Latent Factors Affecting Congestion Pricing Acceptance)Case Study: Tehran Peak-Based Scheme(

Nowadays traffic congestion in metropolitan areas like Tehran has become a critical issue requiring transportation demand management policies as solutions to reduce demand and maximize facilities efficiency. An effective transportation management measure is congestion pricing, which needs special attention to be performed successfully because of its low public acceptance. In this study, based on the data gathered from 455 face-to-face questionnaires through a surveys conducted at restricted traffic areas of Tehran in 2018, we analyze latent factors affecting acceptance of Tehran peak-based scheme. Exploratory factor analysis and ordinal logit models are used for our purpose. Results show that attitudinal factors like perceived effectiveness of the scheme, officials’ performance, scheme design and the way it is performed and environmental concerns besides some socioeconomic factors like education, car ownership and travel patterns are among the most effective items. Results also show that congestion pricing acceptability among people with more information about this program is more, and less for regular users of restricted traffic areas. This research can assist transportation decision makers in taking appropriate measures and policies with maximum acceptance level.