Optimal Road Congestion Pricing for Both Traffic Efficiency and Safety under Demand Uncertainty

Zhong, Shaopeng; Xiao, Xiantao; Bushell, Max; Sun, Hui

doi:10.1061/jtepbs.0000025

Cited by 13 publications

(12 citation statements)

References 42 publications

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“…More and more cities are considering imposing road pricing schemes to reduce traffic congestion and enhance the efficiency and performance of transport systems (Zhong et al, 2017). With the intention of creating a more reasonable road pricing policy, our aim is to comprehensively evaluate the impact of a road pricing policy on urban systems before the introduction of such a policy.…”

Section: Introductionmentioning

confidence: 99%

Built environment and potential job accessibility effects of road pricing: A spatial econometric perspective

Zhong

Bushell

2017

Journal of Transport Geography

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This paper analyzes the impacts of the built environment (BE) as it relates to the potential job accessibility (PJA) effects of road pricing. The relationships between the BE elements and PJA under a road charging policy are established using a spatial econometric approach, which uses an integrated land use and transportation model (TRANUS model) and a spatial lag model (SLM). With the intent of further analyzing the differences in the PJA effects of road pricing on traffic analysis zones (TAZs) that contain different combinations of BE elements, a quantitative classification method combining factor and cluster analysis is applied. This will quantitatively categorize TAZs inside and outside the tolled areas. In exploring the relationship between changes in PJA and the road pricing policy, we found the spatial autocorrelation coefficient to be negative. This result suggests that we are unable to increase the PJA of all the regions through road pricing, but rather affect a redistribution of PJA between different regions. Results also indicate that the impacts of road charging on PJA are associated with urban BE elements. Moreover, such effects are the common result of specific characteristics of the BE. The higher the number of jobs, the better the public transportation conditions, and the better the street design (high densities of street and intersections), the less the region will be negatively influenced by a road charging policy, and vice versa. To avoid the negative effects of road pricing on PJA prior to the launch of such a policy, cities should improve public transportation networks and enhance the street design of the road pricing policy areas, especially the toll ring periphery area.

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Section: Introductionmentioning

confidence: 99%

Built environment and potential job accessibility effects of road pricing: A spatial econometric perspective

Zhong

Bushell

2017

Journal of Transport Geography

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“…As a traffic demand management measure to alleviate traffic congestion, road congestion pricing has been successfully applied in many major cities around the world, such as Singapore, London, Stockholm, Milan, etc. (Zhong, Xiao, Bushell, & Sun, 2017). The purpose of road congestion pricing is to adjust the traffic flow on the crowded roads during peak hours, so as to reduce road traffic congestion (Pigou, 1920;Yang & Huang, 1998;Zhang & Yang, 2004;de Palma & Lindsey, 2011;Meng, Liu, & Wang, 2012;Wei & Sun, 2018).…”

Section: Description Of the Effectsmentioning

confidence: 99%

Identifying the combined effect of shared autonomous vehicles and congestion pricing on regional job accessibility

Zhong

Cheng²,

Li³

et al. 2020

JTLU

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Most of the existing research on shared autonomous vehicles (SAVs) and road congestion pricing have studied the short-term impact on traffic flow. These types of studies focused on the influences on mobility and ignored the long-term impacts on regional job accessibility. Given this, from the perspective of land use and transportation integration, this study explored the long-term effects of SAVs and cordon-based congestion pricing on regional land use, transportation, and job accessibility. The contributions of this study have been summarized by the following three purposes. First, to the best of the authors’ knowledge, this study was the first attempt to identify the long-term impact of the combination of these two technologies on regional job accessibility. Second, compared to the previous research methodology, this study adopted the land use and transportation integrated model (TRANUS model) and scenario planning to ensure the comprehensiveness and validity of the results. Third, this study analyzed the spatial heterogeneity of the impact of the combination of the two technologies on regional job accessibility in different areas with different built-environment attributes. To realize this purpose, this study quantitatively classified traffic analysis zones (TAZs) using data mining technology, i.e., factor analysis and clustering analysis. Results showed that the introduction of SAVs will contribute to job and population development in the charging zone and reduce the negative effect of road congestion pricing. From the perspective of reducing the average travel time between TAZs, the best strategy will be to implement SAVs alone, followed by integrated use of SAVs and road congestion pricing, while the worst strategy will be to implement the cordon-based congestion pricing policy alone. By comparison, from the perspective of improving regional job accessibility, the effect of introducing SAVs was better than that of road congestion pricing, while the combination of these two technologies was not superior to implementing SAVs alone.

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“…In the lower level, it is a conventional traffic assignment represented by deterministic user equilibrium. Zhong et al [7] examined how road pricing affects both traffic efficiency and automobile safety under demand uncertainty. A biobjective bilevel programming model was developed for the traffic accident minimization pricing problem.…”

Section: Introductionmentioning

confidence: 99%

Active Safety Planning Method for Transportation Network Design

Lin

2021

Complexity

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Traffic accidents are frequent although various countermeasures are introduced. Traffic safety cannot be fundamentally improved if it is not considered in the transportation network design stage. Although it is well known that traffic safety is one of the most important concerns of the public, traffic safety is not adequately accommodated in transportation planning. This paper considers traffic safety as a major criterion in designing a transportation network. It is a kind of proactive measure rather than reactive measure. A bilevel programming model system is proposed where the upper level is the urban planners’ decision to minimize the estimated total number of traffic accidents, and the lower level is the travelers’ response behaviors to achieve transportation system equilibrium. A genetic algorithm (GA) with elite strategy is proposed to solve the bilevel model. The method of successive averages (MSA) is embedded for the lower level model, which is a feedback procedure between destination choice and traffic assignment. To demonstrate the effectiveness of the proposed method and algorithm, an experimental study is carried out. The results show that these methods can be a valuable tool to design a safer transportation network although efficiency, in terms of system total travel time, is slightly sacrificed.

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Optimal Road Congestion Pricing for Both Traffic Efficiency and Safety under Demand Uncertainty

Cited by 13 publications

References 42 publications

Built environment and potential job accessibility effects of road pricing: A spatial econometric perspective

Built environment and potential job accessibility effects of road pricing: A spatial econometric perspective

Identifying the combined effect of shared autonomous vehicles and congestion pricing on regional job accessibility

Active Safety Planning Method for Transportation Network Design

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