An integrated system model for evaluating the impact of the dynamic ICC toll policy on the regional network mobility.
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2011-12-01
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Subject/TRT Terms:
- Road pricing
- Congestion pricing
- Pricing
- Travel demand
- Travel demand management
- Traffic congestion
- Traffic flow
- Socioeconomic factors
- Tolls
- Variable tolls
- Rates, fares and tolls
- Toll roads
- Integrated systems
- Traffic models
- Mathematical models
- Estimation theory
- Economic models
- Trip distribution Road pricing
- Congestion pricing
- Pricing
- Travel demand
- Travel demand management
- Traffic congestion
- Traffic flow
- Socioeconomic factors
- Tolls
- Variable tolls
- Rates, fares and tolls
- Toll roads
- Integrated systems
- Traffic models
- Mathematical models
- Estimation theory
- Economic models
- Trip distribution
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Edition:Final; 1/1/10-12/31/11.
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Abstract:Road pricing has been advocated as an efficient travel demand management to alleviate congestion since the ; seminal work by Pigou (1920) and Knight (1924) (see Lindsey, 2006, for recent reviews). More specifically, dynamic ; toll pricing has received greater interest among policy makers and public agencies due to its potential for lowering ; energy costs for society. Some analytical studies (e.g., Arnott et al., 1990) have found that dynamic toll pricing ; generally yield greater efficiency gains than static toll pricing because the former reduce queueing delays by altering ; travelers’ departure times as well as routes. ; The construction of the Inter-county Connector (ICC) has certainly offered the prospect of reducing travel time ; between the I-270 and I-95 corridors, and may potentially alleviate congestion on the I-270 and I-495. Given that the ; ICC relies on dynamic toll pricing scheme, its daily traffic volumes are governed by individual trip-makers’ perceived ; time and cost saving in the term of value of travel time (VOT). Moreover, the ability to realistically capture trip-makers’ ; responses to time-varying road charges in term of willingness to pay (WTP) for toll is essential for predicting network ; flows and network equilibrium assignment models. These behavioral characteristics of users vary across individuals. ; Therefore capturing the heterogeneity of users in this regard is critical in predicting the impact of dynamic pricing ; schemes (e.g., Lu et al., 2008). ; This study proposes the model that enables practitioners to integrate user response to dynamic toll pricing. The ; analysis accounts for cost and time savings perceived by regional drivers and the users’ response to time-varying ; road charges. More specifically, the study captures difference in behavioral characteristics of the willingness to pay ; (WTP) for toll across users socioeconomics and trip related characteristics such as time of day, and trip purpose. The ; analysis is expected to be useful for transportation agency responsible for the ICC operations.
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Main Document Checksum:urn:sha-512:6d0b57f696fdebbfb70cbfd397f53775d604cbe1ecf73e7fa3e6d17c2f1ac32656126776a2c651a20a2b9a70e15e89fdae7f16671df5f0c20c2526e14d9d8ba5