Integrated daily commuting patterns and optimal road tolls and parking fees in a linear city

Zhang, Xiaoning; Huang, Hai; Zhang, H.M.

doi:10.1016/j.trb.2007.06.001

Cited by 149 publications

(56 citation statements)

References 9 publications

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“…In this context, Arnott et al (1991) showed that a parking fee alone can effectively increase social welfare, and that a combination of dynamic road toll and dynamic parking fee can yield the system optimum. Zhang et al (2008) further extended Arnott et al (1991) by deriving the daily commuting pattern that combines both the morning and evening commutes. More recently, attentions have been paid to how parking capacity allocations, parking fees, parking permits and parking reservations can be designed to improve traffic efficiency in a dynamic network with one roadway bottleneck Qian et al 2011Qian et al , 2012Fosgerau and de Palma, 2013;Yang et al 2013;Liu et al 2014a,b ).…”

Section: Introductionmentioning

confidence: 99%

Modeling the morning commute for urban networks with cruising-for-parking: An MFD approach

Liu¹,

Geroliminis²

2016

Transportation Research Part B: Methodological

112

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a b s t r a c tThis study focuses on the morning commute problem with explicit consideration of cruising-for-parking, and its adverse impacts on traffic congestion. The cruising-for-parking is modeled through a dynamic aggregated traffic model for networks: the Macroscopic Fundamental Diagram (MFD). Firstly, we formulate the commuting equilibrium in a congested downtown network where travelers have to cruise for curbside parking spaces. The cruising-for-parking would yield longer trip distance and smaller network outflow, and thus can induce severe congestion and lengthen the morning peak. We then develop a dynamic model of pricing for the network to reduce total social cost, which includes cruising time cost, moving time cost (moving or in-transit time, which is the duration during which vehicles move close to the destination but do not cruise for parking yet), and schedule delay cost. We show that under specific assumptions, at the system optimum, the downtown network should be operating at the maximum production of its MFD. However, the cruising effect is not fully eliminated. We also show that the time-dependent toll to support the system optimum has a different shape than the classical fine toll in Vickrey's bottleneck model. In the end, analytical results are illustrated and verified with numerical experiments.

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Section: Introductionmentioning

confidence: 99%

Modeling the morning commute for urban networks with cruising-for-parking: An MFD approach

Liu¹,

Geroliminis²

2016

Transportation Research Part B: Methodological

112

View full text Add to dashboard Cite

show abstract

“…2 Notably, Zhang et al (2005) and (2008) analyze how individuals adjust their travel schedules in response to the occurrence of congestion and congestion-mitigation measures, such as road pricing and parking pricing. The results in Zhang et al (2008) indicate that morning road tolls results in an optimal arrival traffic pattern to related work is Johansson-Stenman (2006), who developed a theoretical framework to study the optimal road charge when congestion increases road users' fuel and wear-and-tear costs, as well as the emission release by automobile per km. He showed that optimal road charges should take account of all these dimensions: road users should pay not only for the direct time and environmental costs that they impose, but also for the increase in other road users' fuel costs, wearand-tear costs and exhaust emissions.…”

Section: Introductionmentioning

confidence: 94%

Air pollution dynamics and the need for temporally differentiated road pricing

Coria

Bonilla

Grundström

et al. 2015

Transportation Research Part A: Policy and Practice

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In this paper we investigate the effects of the temporal variation of pollution dispersion, traffic flows and vehicular emissions on pollution concentration and illustrate the need for temporally differentiated road pricing through an application to the case of the congestion charge in Stockholm, Sweden. By accounting explicitly for the role of pollution dispersion on optimal road pricing, we allow for a more comprehensive view of the economy-ecology interactions at stake, showing that price differentiation is an optimal response to the physical environment. Most congestion charges in place incorporate price bans to mitigate congestion. Our analysis indicates that, to ensure compliance with air quality standards, such price variations should also be a response to limited pollution dispersion.

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“…The parking fees optimisation (Zong et al, 2015;Zhang et al, 2008) makes it possible to manage travellers' parking choice. In (Basso and Silva, 2014) the optimization of parking space influencing travel mode choice was described, but the models didn't consider the influence of the mode choice upon travel time (congestion).…”

Section: Models Of Urban Passenger Transportation Systemmentioning

confidence: 99%