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Special Issue "Carbon reduction strategies and methods in transportation"

A special issue of Sustainability (ISSN 2071-1050).

Deadline for manuscript submissions: closed (1 June 2015)

Special Issue Editors

Guest Editor
Prof. Dr. Bin Yu

School of Transportation Science and Engineering, Beihang University, Beijing, China
E-Mail
Interests: sustainable transport system, high performance computing, technology innovations,sustainable development
Guest Editor
Dr. Tao Feng

Urban Planning Group, Department of the Built Environment, Eindhoven University of Technology, PO Box 513, 5600 MB Eindhoven, The Netherlands
E-Mail
Phone: +31402472301
Interests: environmental policy,sustainable urban development,sustainable transport system

Special Issue Information

Dear Colleagues,

Climate change is a serious problem each country confronts today. Since the Copenhagen conference (The United Nations Climate Change conference, 2009), energy saving and emission reduction has become a hot issue around the world. Among the numerous and complex solutions, reducing CO2 (carbon dioxide) emission is one of the most challenging but feasible tasks in solving this problem.

Transportation industry, which takes a considerable proportion of CO2 emission, should implement practical methods to make contributions to CO2 reduction. Reducing CO2 emission in transportation, covers various research topics including travel demand management, green transport network design, sustainability in urban planning, and application of low emission vehicles.

Papers selected for this special issue will be subject to a rigorous peer review with the aim of highlighting the most significant recent developments on the topics of reducing CO2 emission in transportation and applying these to the planning, design, operations, control, management, maintenance and rehabilitation of transport systems, services and components. Contributions containing new insights and findings in this field are welcome. There are no limitations with respect to specific topic, while real-world applications are especially encouraged.

Prof. Dr. Bin Yu
Dr. Tao Feng
Guest Editors

Manuscript Submission Information

Manuscripts should be submitted online at www.mdpi.com by registering and logging in to this website. Once you are registered, click here to go to the submission form. Manuscripts can be submitted until the deadline. All papers will be peer-reviewed. Accepted papers will be published continuously in the journal (as soon as accepted) and will be listed together on the special issue website. Research articles, review articles as well as short communications are invited. For planned papers, a title and short abstract (about 100 words) can be sent to the Editorial Office for announcement on this website.

Submitted manuscripts should not have been published previously, nor be under consideration for publication elsewhere (except conference proceedings papers). All manuscripts are thoroughly refereed through a single-blind peer-review process. A guide for authors and other relevant information for submission of manuscripts is available on the Instructions for Authors page. Sustainability is an international peer-reviewed open access monthly journal published by MDPI.

Please visit the Instructions for Authors page before submitting a manuscript. The Article Processing Charge (APC) for publication in this open access journal is 1400 CHF (Swiss Francs). Submitted papers should be well formatted and use good English. Authors may use MDPI's English editing service prior to publication or during author revisions.

Keywords

  • Ÿ   travel demand management for reducing co2 emission
  • Ÿ   green urban transport network design
  • Ÿ   sustainability in urban transport system planning and operations
  • Ÿ   application of renewable energy and low emission vehicles

Published Papers (9 papers)

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Displaying articles 1-9
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Research

Open AccessArticle Performance Comparison of Reservation Based and Instant Access One-Way Car Sharing Service through Discrete Event Simulation
Sustainability 2015, 7(9), 12465-12489; doi:10.3390/su70912465
Received: 27 July 2015 / Revised: 27 August 2015 / Accepted: 6 September 2015 / Published: 11 September 2015
Cited by 4 | PDF Full-text (2685 KB) | HTML Full-text | XML Full-text
Abstract
A car sharing service has been highlighted as a new urban transport alternative for an environmentally friendly economy. As the demand for the service from customers increases, car sharing operators need to introduce a new service such as a one-way option that will
[...] Read more.
A car sharing service has been highlighted as a new urban transport alternative for an environmentally friendly economy. As the demand for the service from customers increases, car sharing operators need to introduce a new service such as a one-way option that will allow customers to return the car to different stations. Due to the complexity of the one-way system, it needs to be managed and optimized for real cases. This paper focuses on developing a simulation model in order to help operators evaluate the performance of the one-way service. In addition, this research demonstrates a strategy for an open one-way service that can increase revenue and customer satisfaction. A real case dataset is used for investigation to find the best result from the simulation. The result showed that the total number of cars, number of one-way reservations and station size have an impact on one-way performance. Thus, company profit and customer satisfaction can be maximized by optimizing these factors. Full article
(This article belongs to the Special Issue Carbon reduction strategies and methods in transportation)
Open AccessArticle Factors Influencing the Behavioural Intention towards Full Electric Vehicles: An Empirical Study in Macau
Sustainability 2015, 7(9), 12564-12585; doi:10.3390/su70912564
Received: 1 June 2015 / Revised: 5 September 2015 / Accepted: 7 September 2015 / Published: 11 September 2015
Cited by 6 | PDF Full-text (1228 KB) | HTML Full-text | XML Full-text
Abstract
This study examines the factors that influence individual intentions towards the adoption of full electric vehicles. A sample including 308 respondents was collected on the streets of Macau. The collected data were analysed by confirmatory factor analysis and structural equation modelling. The results
[...] Read more.
This study examines the factors that influence individual intentions towards the adoption of full electric vehicles. A sample including 308 respondents was collected on the streets of Macau. The collected data were analysed by confirmatory factor analysis and structural equation modelling. The results demonstrate that environmental concerns and the perception of environmental policy are antecedent factors of the perception of full electric vehicles, which influences the behavioural intention to purchase full electric vehicles. This study also finds that the perception of economic benefit is one of the key factors influencing the adoption of full electric vehicles. Vehicle operators seek economic benefits from future long-term fuel savings, high energy efficiency, and cheap electricity. Thus, a government striving to promote low-carbon transportation needs to scale up its efforts to enhance citizens’ environmental concerns and to establish proper environmental policy as well as to provide long-term financial and strategic support for electric vehicles. Full article
(This article belongs to the Special Issue Carbon reduction strategies and methods in transportation)
Open AccessArticle Evaluation Framework for Alternative Fuel Vehicles: Sustainable Development Perspective
Sustainability 2015, 7(9), 11570-11594; doi:10.3390/su70911570
Received: 22 March 2015 / Revised: 27 July 2015 / Accepted: 13 August 2015 / Published: 25 August 2015
Cited by 2 | PDF Full-text (946 KB) | HTML Full-text | XML Full-text
Abstract
Road transport accounts for 72.06% of total transport CO2, which is considered a cause of climate change. At present, the use of alternative fuels has become a pressing issue and a significant number of automakers and scholars have devoted themselves to
[...] Read more.
Road transport accounts for 72.06% of total transport CO2, which is considered a cause of climate change. At present, the use of alternative fuels has become a pressing issue and a significant number of automakers and scholars have devoted themselves to the study and subsequent development of alternative fuel vehicles (AFVs). The evaluation of AFVs should consider not only air pollution reduction and fuel efficiency but also AFV sustainability. In general, the field of sustainable development is subdivided into three areas: economic, environmental, and social. On the basis of the sustainable development perspective, this study presents an evaluation framework for AFVs by using the DEMATEL-based analytical network process. The results reveal that the five most important criteria are price, added value, user acceptance, reduction of hazardous substances, and dematerialization. Price is the most important criterion because it can improve the popularity of AFVs and affect other criteria, including user acceptance. Additional, the energy usage criterion is expected to significantly affect the sustainable development of AFVs. These results should be seriously considered by automakers and governments in developing AFVs. Full article
(This article belongs to the Special Issue Carbon reduction strategies and methods in transportation)
Open AccessArticle Quantitative Decision Making Model for Carbon Reduction in Road Construction Projects Using Green Technologies
Sustainability 2015, 7(8), 11240-11259; doi:10.3390/su70811240
Received: 30 May 2015 / Revised: 29 July 2015 / Accepted: 6 August 2015 / Published: 17 August 2015
Cited by 1 | PDF Full-text (820 KB) | HTML Full-text | XML Full-text
Abstract
Numerous countries have established policies for reducing greenhouse gas emissions and have suggested goals pertaining to these reductions. To reach the target reduction amounts, studies on the reduction of carbon emissions have been conducted with regard to all stages and processes in construction
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Numerous countries have established policies for reducing greenhouse gas emissions and have suggested goals pertaining to these reductions. To reach the target reduction amounts, studies on the reduction of carbon emissions have been conducted with regard to all stages and processes in construction projects. According to a study on carbon emissions, the carbon emissions generated during the construction stage of road projects account for approximately 76 to 86% of the total carbon emissions, far exceeding the other stages, such as maintenance or demolition. Therefore, this study aims to develop a quantitative decision making model that supports the application of green technologies (GTs) to reduce carbon emissions during the construction stage of road construction projects. First, the authors selected environmental soundness, economic feasibility and constructability as the key assessment indices for evaluating 20 GTs. Second, a fuzzy set/qualitative comparative analysis (FS/QCA) was used to establish an objective decision-making model for the assessment of both the quantitative and qualitative characteristics of the key indices. To support the developed model, an expert survey was performed to assess the applicability of each GT from a practical perspective, which was verified with a case study using two additional GTs. The proposed model is expected to support practitioners in the application of suitable GTs to road projects and reduce carbon emissions, resulting in better decision making during road construction projects. Full article
(This article belongs to the Special Issue Carbon reduction strategies and methods in transportation)
Open AccessArticle Optimization of the Waterbus Operation Plan Considering Carbon Emissions: The Case of Zhoushan City
Sustainability 2015, 7(8), 10976-10993; doi:10.3390/su70810976
Received: 31 May 2015 / Revised: 24 July 2015 / Accepted: 27 July 2015 / Published: 11 August 2015
PDF Full-text (1599 KB) | HTML Full-text | XML Full-text
Abstract
Recently, as more people are concerned with the issues around environment protection, research about how to reduce carbon emissions has drawn increasing attention. Encouraging public transportation is an effective measure to reduce carbon emissions. However, overland public transportation does less to lower carbon
[...] Read more.
Recently, as more people are concerned with the issues around environment protection, research about how to reduce carbon emissions has drawn increasing attention. Encouraging public transportation is an effective measure to reduce carbon emissions. However, overland public transportation does less to lower carbon because of the gradually increasing pressure of the urban road traffic. Therefore, the waterbus along the coast becomes a new direction of the urban public transport development. In order to optimize the operation plan of the waterbus, a bi-level model considering carbon emissions is proposed in this paper. In the upper-level model, a multiple objective model is established, which considers both the interests of the passengers and the operator while considering the carbon emissions. The lower-level model is a traffic model split by using a Nested Logit model. A NSGA-II (Non-dominated Sorting Genetic Algorithm-II) algorithm is proposed to solve the model. Finally, the city of Zhoushan is chosen as an example to prove the feasibility of the model and the algorithm. The result shows that the proposed model for waterbus operation optimization can efficiently reduce transportation carbon emissions and satisfy passenger demand at the same time. Full article
(This article belongs to the Special Issue Carbon reduction strategies and methods in transportation)
Open AccessArticle Research on Urban Road Congestion Pricing Strategy Considering Carbon Dioxide Emissions
Sustainability 2015, 7(8), 10534-10553; doi:10.3390/su70810534
Received: 31 May 2015 / Revised: 20 July 2015 / Accepted: 21 July 2015 / Published: 6 August 2015
Cited by 2 | PDF Full-text (865 KB) | HTML Full-text | XML Full-text
Abstract
Congestion pricing strategy has been recognized as an effective countermeasure in the practical field of urban traffic congestion mitigation. In this paper, a bi-level programming model considering carbon dioxide emission is proposed to mitigate traffic congestion and reduce carbon dioxide emissions. The objective
[...] Read more.
Congestion pricing strategy has been recognized as an effective countermeasure in the practical field of urban traffic congestion mitigation. In this paper, a bi-level programming model considering carbon dioxide emission is proposed to mitigate traffic congestion and reduce carbon dioxide emissions. The objective function of the upper level model is to minimize the sum of travel costs and the carbon dioxide emissions costs. The lower level is a multi-modal transportation network equilibrium model. To solve the model, the method of successive averages (MSA) and the shuffled frog leaping algorithm (SFLA) are introduced. The proposed method and algorithm are tested through the numerical example. The results show that the proposed congestion pricing strategy can mitigate traffic congestion and reduce carbon emissions effectively. Full article
(This article belongs to the Special Issue Carbon reduction strategies and methods in transportation)
Open AccessArticle Dependence of Parking Pricing on Land Use and Time of Day
Sustainability 2015, 7(7), 9587-9607; doi:10.3390/su7079587
Received: 27 April 2015 / Revised: 1 July 2015 / Accepted: 9 July 2015 / Published: 17 July 2015
Cited by 1 | PDF Full-text (1541 KB) | HTML Full-text | XML Full-text
Abstract
A key strategy of sustainable transportation, parking pricing can directly contribute to decreased greenhouse gas emissions and air pollution. This paper describes an optimal structure of parking rates in terms of parking locations and time of day. A two-level parking model based on
[...] Read more.
A key strategy of sustainable transportation, parking pricing can directly contribute to decreased greenhouse gas emissions and air pollution. This paper describes an optimal structure of parking rates in terms of parking locations and time of day. A two-level parking model based on game theory is established using parking survey data collected in Beijing in 2014. The model was estimated based on Stackelberg game and the Nash equilibrium. Using the two-level parking model, the optimal structure of parking rates for inside/outside business zones and during peak/off-peak hours was calculated. In addition, the relationship between the government (which represents the public benefit) and car users, as well as the relationships among car users in the parking system were investigated. The results indicate that equilibrium among all of the agents in the parking system can be obtained using the proposed parking rate structure. The findings provide a better understanding of parking behavior, and the two-level parking model presented in the paper can be used to determine the optimal parking rate to balance the temporal and spatial distribution of parking demand in urban areas. This research helps reduce car use and the parking-related cruising time and thus contributes to the reduction of carbon emissions and air pollution. Full article
(This article belongs to the Special Issue Carbon reduction strategies and methods in transportation)
Open AccessArticle Integrating Regret Psychology to Travel Mode Choice for a Transit-Oriented Evacuation Strategy
Sustainability 2015, 7(7), 8116-8131; doi:10.3390/su7078116
Received: 31 March 2015 / Revised: 15 June 2015 / Accepted: 18 June 2015 / Published: 24 June 2015
Cited by 1 | PDF Full-text (191 KB) | HTML Full-text | XML Full-text
Abstract
Facing the potential dangers from sudden disasters in urban cities, emergency administrators have to make an appropriate evacuation plan to mitigate negative consequences. However, little attention has been paid to evacuee real decision psychology when developing a strategy. The aim of this paper
[...] Read more.
Facing the potential dangers from sudden disasters in urban cities, emergency administrators have to make an appropriate evacuation plan to mitigate negative consequences. However, little attention has been paid to evacuee real decision psychology when developing a strategy. The aim of this paper is to analyze evacuee mode choice behavior considering regret aversion psychology during evacuation. First, the utility-based and regret-based models are formulated to obtain evacuees’ preferences on travel mode choice, respectively. According to the data collected from the stated preference (SP) survey on evacuee mode choice, the estimation results show that the regret-based model performs better than the utility model. Moreover, based on the estimates from behavioral analysis, the elasticities of evacuee mode choices are calculated, and transit strategy simulation is undertaken to investigate the influence on evacuee mode switching from private automobile to public transit. The results are expected to help emergency administrators to make a transit-oriented strategy for a sustainable evacuation plan, especially for the benefit of carless people. Full article
(This article belongs to the Special Issue Carbon reduction strategies and methods in transportation)
Open AccessArticle Urban Freight Truck Routing under Stochastic Congestion and Emission Considerations
Sustainability 2015, 7(6), 6610-6625; doi:10.3390/su7066610
Received: 10 April 2015 / Revised: 18 May 2015 / Accepted: 20 May 2015 / Published: 26 May 2015
Cited by 5 | PDF Full-text (1169 KB) | HTML Full-text | XML Full-text
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
[...] Read more.
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. Full article
(This article belongs to the Special Issue Carbon reduction strategies and methods in transportation)

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