Internalizing emission externality on road networks

Yin, Yafeng; Lawphongpanich, Siriphong

doi:10.1016/j.trd.2006.05.003

Cited by 210 publications

(131 citation statements)

References 2 publications

Supporting

Mentioning

126

Contrasting

Order By: Relevance

“…Suppose (v,ū) = arg min v∈V,u∈U J. Then we can show that (v,ū) solves (10) and (11) as similar as in Yin and Lawphongpanich (2006). In particular, suppose (v,û) solves (10) and (11) and (v,ū) = (v,û).…”

Section: Reformulationmentioning

confidence: 75%

See 1 more Smart Citation

Dual Toll Pricing for Hazardous Materials Transport with Linear Delay

et al. 2011

View full text Add to dashboard Cite

In this paper, we propose a dual toll pricing method to mitigate risk of hazardous materials (hazmat) transportation. We aim to simultaneously control both regular and hazmat vehicles to reduce the risk. In our model, we incorporate a new risk measure to consider durationpopulation-frequency of hazmat exposure. We first formulate the model as a Mathematical Program with Equilibrium Constraints (MPEC). Then we decompose the MPEC formulation into first-stage and second-stage problems. Separate methods are developed to solve each stage. A numerical example is provided and possible extensions are discussed.

show abstract

Section: Reformulationmentioning

confidence: 75%

“…In such cases, we may consider a genetic algorithm approach that is similar to the methods Yin (2002) proposed. Yin and Lawphongpanich (2006) found that genetic algorithm approaches are effective in solving multi-objective toll problems.…”

Section: Numerical Examplementioning

confidence: 99%

Dual Toll Pricing for Hazardous Materials Transport with Linear Delay

et al. 2011

View full text Add to dashboard Cite

show abstract

“…We incorporated into the total travel cost not only the stochastic truck travel time, but also cost induced by various emissions and a penalty for late or early truck arrival. Although significant efforts have been made recently in combining environmental effects from vehicle emissions with various transportation studies, they focus on either deterministic network optimization problems [37][38][39][40] or traffic control problems such as signal timing optimization at urban intersections [41,42]. In this study, various vehicle emissions are assumed to follow U-shaped functions with respect to vehicle speed [43].…”

Section: Literature Reviewmentioning

confidence: 99%

Urban Freight Truck Routing under Stochastic Congestion and Emission Considerations

Hwang

Ouyang

2015

Sustainability

View full text Add to dashboard Cite

Abstract:Freight trucks are known to be a major source of air pollutants as well as greenhouse gas emissions in U.S. metropolitan areas, and they have significant effects on air quality and global climate change. Emissions from freight trucks during their deliveries should be considered by the trucking service sector when they make routing decisions. This study proposes a model that incorporates total delivery time, various emissions including CO2, VOC, NOX, and PM from freight truck activities, and a penalty for late or early arrival into the total cost objective of a stochastic shortest path problem. We focus on urban transportation networks in which random congestion states on each link follows an independent probability distribution. Our model finds the best truck routing on a given network so as to minimize the expected total cost. This problem is formulated into a mathematical model, and two solution algorithms including a dynamic programming approach and a deterministic shortest path heuristic are proposed. Numerical examples show that the proposed approach performs very well even for the large-size U.S. urban networks.

show abstract

“…The amount of CO emission is function of the length of each link (l a ), the travel time in each link (t a ) and the travel speed in each link (l a /t a ). This formula has been discussed in detail in Yin and Lawphongpanich (2006), Szeto et al (2010) and Ng and Lo (2013). …”

Section: Mathematical Model For Land Use and Transportationmentioning

confidence: 99%

“…Zhou et al (2008), Yin and Lu (1999) and Huang et al (2010) solely considered environmental sustainability and used total traffic emissions as an indicator. Some studies have developed a bi-objective formulation to incorporate environmental and economic factors (e.g., Sharma and Mathew 2011;Miandoabchi et al 2012a, b;Yin and Lawphongpanich 2006;Ferguson et al 2010;Li et al 2012;Yang et al 2010;Zhong et al 2012). In these studies, land use planning is not incorporated.…”

Section: Introductionmentioning

confidence: 99%

Analysis of interaction among land use, transportation network and air pollution using stochastic nonlinear programming

Shahraki

Türkay

2014

Int. J. Environ. Sci. Technol.

View full text Add to dashboard Cite

This paper presents two novel models for land use and transportation to address the development of different functional zones in urban areas by considering the design of an efficient transportation network and reducing air pollution. Objective functions of the first model are maximizing utility function and maximizing reliability index. The utility is formulated as a function of travel cost and zonal attractiveness. Reliability index is defined as the probability that flow in each link of the network is less than the design capacity. Maximizing this probability is equivalent to minimizing congestion in the network. In addition, maximizing utility and minimizing carbon monoxide emission in the network are considered as objective functions in the second model. The formulated models are nonlinear and stochastic. We implement the e-constraint method for solving these bi-objective optimization problems. We analyze the models and solution characteristics of some examples. In addition, we evaluate the relation between computing time and complexity of the model. In this study, for the first time in the open literature, stochastic bi-objective optimization models are formulated to analyze interaction among land use, transportation network and air pollution. We also extract and summarize some useful insights on the relationship among land use, transportation network and environmental impact associated with them.

show abstract

Internalizing emission externality on road networks

Cited by 210 publications

References 2 publications

Dual Toll Pricing for Hazardous Materials Transport with Linear Delay

Dual Toll Pricing for Hazardous Materials Transport with Linear Delay

Urban Freight Truck Routing under Stochastic Congestion and Emission Considerations

Analysis of interaction among land use, transportation network and air pollution using stochastic nonlinear programming

Contact Info

Product

Resources

About