Article
Economics
Mohammad Tamannaei, Hamid Zarei, Morteza Rasti-Barzoki
Summary: Government improves sustainability in freight transportation by imposing taxes, understanding the interaction between different dimensions is important. In competition, consumer loyalty and economic risks affect the environmental, economic, and social sustainability of the transportation market.
TRANSPORTATION RESEARCH PART B-METHODOLOGICAL
(2021)
Article
Engineering, Environmental
Joana Soares, Isabel Miguel, Catia Venancio, Isabel Lopes, Miguel Oliveira
Summary: Plastic pollution is a global environmental issue caused by human industrial and domestic activities, and understanding public perceptions about it can help engage society in solutions. Research in Portugal showed that participants were aware of the degradation of plastics in the environment and perceived bio-ecological impacts as a greater threat than socioeconomic impacts. Socio-demographic variables and knowledge about plastic pollution impacts were found to predict pro-environmental behaviors. Awareness about the impacts of plastic pollution was highly associated with pro-environmental behavior, providing insights on how to enhance such behaviors and reduce the presence of micro(nano)plastics in the environment.
JOURNAL OF HAZARDOUS MATERIALS
(2021)
Review
Green & Sustainable Science & Technology
Gianluca Grilli, John Curtis
Summary: This article discusses case studies and treatment categories of environmental behavior change projects, suggesting that projects related to energy or waste have a higher success rate than those related to water. All types of treatments are suitable for behavior change, but their selection should be based on specific objectives and target populations.
RENEWABLE & SUSTAINABLE ENERGY REVIEWS
(2021)
Article
Psychology, Multidisciplinary
Minmin Shen, Jianhua Wang
Summary: This article explores the formation mechanism and driving forces of Chinese consumers' green consumption based on survey data. It finds that pro-environmental awareness plays a crucial role in green consumption, but other factors like perceived cost and face culture also affect the transformation from awareness to behavior. Government policy incentives have limited direct impact on green consumption.
FRONTIERS IN PSYCHOLOGY
(2022)
Article
Economics
Gurkan Gunay
Summary: This study investigates the geographical factors that influence shipment size and road freight vehicle choice. The research findings reveal that one region in Kocaeli province, neighboring Istanbul, has different vehicle choice mechanisms compared to the rest of the province. Therefore, in planning for freight transportation, the effects of neighboring large metropolitan areas should be taken into consideration.
TRANSPORTATION RESEARCH PART A-POLICY AND PRACTICE
(2023)
Article
Green & Sustainable Science & Technology
Thomas Maxner, Giacomo Dalla Chiara, Anne Goodchild
Summary: Freight transportation is essential for cities' social and economic activities, but it also contributes significantly to CO2 emissions. Collaboration and coordination between public and private agents are crucial for reducing CO2 emissions from urban freight, but each agent faces different challenges. Cities lack strong leadership, resources, and policy tools, while companies need to consider technological challenges, costs, and workforce. The disaggregated nature of the urban freight system is also a challenge for cities and companies.
Article
Economics
Pradeep Kumar Mohanty, Archana Patro, R. M. Harindranatha, N. Senthil Kumar, Debadutta Kumar Panda, Ritesh Dubey
Summary: This study investigates public perceptions towards government energy policies and their impact on consumer behavior towards energy efficient appliances in India. The findings show that public expectations from government initiatives positively influence consumers' pro-environmental behavior, emphasizing the need for coordinated planning between manufacturers and policy makers to further popularize energy efficient appliances among the public.
Article
Green & Sustainable Science & Technology
Aysenur Budak, Peiman Alipour Sarvari
Summary: This study aims to predict the profit margin for freight trucking in sustainable road transportation, identifying variables through expert opinions and developing a methodology using different machine learning algorithms. The results demonstrate the superiority of the proposed approach in terms of prediction accuracy and performance compared to traditional methods.
JOURNAL OF CLEANER PRODUCTION
(2021)
Article
Green & Sustainable Science & Technology
Lichao Zhu, Qiang Xiong
Summary: This study examines the influences of various factors on road freight CO2 emissions and finds that population growth is a key driver for the increase in emissions. Market share, diesel price, and number of freight vehicles play crucial roles in the changes of road freight CO2 emissions.
SUSTAINABLE PRODUCTION AND CONSUMPTION
(2023)
Article
Management
Francisca Rosell, Esteve Codina, Lidia Montero
Summary: In order to achieve the goal of reducing greenhouse gas emissions, the EU has set a target for a modal shift in freight transport, with 30% of freight to be transported by rail in the near future. This paper develops a combined model for evaluating modal split and railway freight flows, taking into account the variability of coefficients. The model is formulated as a nonlinear integer programming problem, and considers interactions between different types of flows and cost evaluations.
EUROPEAN JOURNAL OF OPERATIONAL RESEARCH
(2022)
Article
Green & Sustainable Science & Technology
Markus Pollanen, Timo Liljamo, Erika Kallionpaa, Heikki Liimatainen
Summary: The study found that environmental practices of road freight hauliers did not significantly improve over the past decade despite shared belief in the need to reduce emissions. Hauliers rarely perceived interest from shippers towards energy efficiency, calling for more support and encouragement for environmentally aware practices.
Article
Computer Science, Artificial Intelligence
Mario Henrique Bueno Moreira Callefi, Gilberto Miller Devos Ganga, Moacir Godinho Filho, Maciel M. Queiroz, Vasco Reis, Joao Gilberto Mendes dos Reis
Summary: This study fills a gap in existing research by identifying technology-enabled capabilities in road freight transportation systems and evaluating their readiness level. 32 technology-enabled capabilities were identified and categorized into six groups, with commercial applicability examples found for 28 of them. The study provides academics and professionals with an overview of capabilities enabled by technology.
EXPERT SYSTEMS WITH APPLICATIONS
(2022)
Article
Environmental Studies
Elliot J. Sharpe, Goda Perlaviciute, Linda Steg
Summary: Through research on pro-environmental behavior and support for environmental policy, both of which are expressions of intrinsic pro-environmental motivation, it was found that people tend to engage in both behaviors simultaneously. Stronger pro-environmental motivation was associated with more pro-environmental behavior and greater support for policy. The relationship between behavior and policy support weakened or disappeared when controlling for pro-environmental motivation.
JOURNAL OF ENVIRONMENTAL PSYCHOLOGY
(2021)
Article
Green & Sustainable Science & Technology
Da Huang, Mei Han
Summary: The combination of entropy weight-TOPSIS method used in this study provides a new approach to evaluating the environmental sustainability of freight transportation. By analyzing data over multiple years, the method helps address the challenges posed by subjective factors and the complexity of dealing with multiple influencing factors in traditional methods.
Article
Engineering, Civil
Lukai Zhang, Naifu Deng, Yingping Wang, Xiaoyan Ma, Maosen Lin, Peng Zhang
Summary: The goal of this study is to mitigate sustainability risks associated with hazmat transport processes by combining route planning of hazmat shipments with location for emergency response centers in a road hazmat transport network and proposing a new subsidy policy. A bi-level programming model is established and a genetic algorithm is developed to solve the problem. Computational experiments validate the effectiveness of the proposed method.
TRANSPORTATION RESEARCH RECORD
(2023)
Article
Green & Sustainable Science & Technology
Lars odegaard Bentsen, Narada Dilp Warakagoda, Roy Stenbro, Paal Engelstad
Summary: This study investigates uncertainty modeling in wind power forecasting using different parametric and non-parametric methods. Johnson's SU distribution is found to outperform Gaussian distributions in predicting wind power. This research contributes to the literature by introducing Johnson's SU distribution as a candidate for probabilistic wind forecasting.
JOURNAL OF CLEANER PRODUCTION
(2024)
Article
Green & Sustainable Science & Technology
Xing Liu, Qiuchen Wang, Yunhao Wen, Long Li, Xinfang Zhang, Yi Wang
Summary: This study analyzes the characteristics of process parameters in three lean gas ethane recovery processes and establishes a prediction and multiobjective optimization model for ethane recovery and system energy consumption. A new method for comparing ethane recovery processes for lean gas is proposed, and the addition of extra coolers improves the ethane recovery. The support vector regression model based on grey wolf optimization demonstrates the highest prediction accuracy, and the multiobjective multiverse optimization algorithm shows the best optimization performance and diversity in the solutions.
JOURNAL OF CLEANER PRODUCTION
(2024)
Article
Green & Sustainable Science & Technology
Cairong Song, Haidong Yang, Xian-Bing Meng, Pan Yang, Jianyang Cai, Hao Bao, Kangkang Xu
Summary: The paper proposes a novel deep learning-based prediction framework, aTCN-LSTM, for accurate cooling load predictions. The framework utilizes a gate-controlled multi-head temporal convolutional network and a sparse probabilistic self-attention mechanism with a bidirectional long short-term memory network to capture both temporal and long-term dependencies in the cooling load sequences. Experimental results demonstrate the effectiveness and superiority of the proposed method, which can serve as an effective guide for HVAC chiller scheduling and demand management initiatives.
JOURNAL OF CLEANER PRODUCTION
(2024)
Article
Green & Sustainable Science & Technology
Zhe Chen, Xiaojing Li, Xianli Xia, Jizhou Zhang
Summary: This study uses survey data from the Loess Plateau in China to evaluate the impact of social interaction on the adoption of soil and water conservation (SWC) technology by farmers. The study finds that social interaction increases the likelihood of farmers adopting SWC, and internet use moderates this effect. The positive impact of social interaction on SWC adoption is more pronounced for farmers in larger villages and those who join cooperative societies.
JOURNAL OF CLEANER PRODUCTION
(2024)
Article
Green & Sustainable Science & Technology
Chenghua Zhang, Yunfei Yan, Kaiming Shen, Zongguo Xue, Jingxiang You, Yonghong Wu, Ziqiang He
Summary: This paper reports a novel method that significantly improves combustion performance, including heat transfer enhancement under steady-state conditions and adaptive stable flame regulation under velocity sudden increase.
JOURNAL OF CLEANER PRODUCTION
(2024)