Nowadays traffic congestion in lots of cities like Tehran has become an important issue. A suggested solution is to use transportation demand management policies to reduce demand and maximize facilities efficiency. An effective measure for transportation management is congestion pricing, which could not be performed successfully because its public acceptance is low. In this study, based on the data that was obtained from 456 surveys conducted at restricted traffic areas of Tehran in 2018, we try to figure out the latent factors affect acceptance of Tehran peak-based scheme. An exploratory factor analysis and ordinal logit model is used for our purpose. Results show that some attitudinal factors like perceived effectiveness of the scheme, officials performance, program plan and the way it is performed and environmental concerns besides some socioeconomic factors like education, car ownership and travel patterns are of the most effective items. Results also show that congestion pricing acceptability among people with more information about this program, is more than others who make use of restricted traffic areas. The results of this study could be useful for transportation decision makers to take advantage of appropriate measures and policies with maximum acceptance level.
Mamdoohi, A. R. (2020). Identifying latent factors affecting congestion pricing acceptance, case of Tehran peak-based scheme. Journal of Transportation Research, (), -.
MLA
Amir Reza Mamdoohi. "Identifying latent factors affecting congestion pricing acceptance, case of Tehran peak-based scheme". Journal of Transportation Research, , , 2020, -.
HARVARD
Mamdoohi, A. R. (2020). 'Identifying latent factors affecting congestion pricing acceptance, case of Tehran peak-based scheme', Journal of Transportation Research, (), pp. -.
VANCOUVER
Mamdoohi, A. R. Identifying latent factors affecting congestion pricing acceptance, case of Tehran peak-based scheme. Journal of Transportation Research, 2020; (): -.
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