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The Influence of Transport on Global Warming and Environmental Sustainability
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The Influence of Transport on Global Warming and Environmental Sustainability

A special issue of Sustainability (ISSN 2071-1050). This special issue belongs to the section "Sustainable Transportation".

Deadline for manuscript submissions: closed (10 November 2024) | Viewed by 8843

Special Issue Editors

Prof. Dr. Slobodan B. Marković

E-Mail Website
Guest Editor
Department of Geography, Tourism and Hotel Management, University of Novi Sad, 21000 Novi Sad, Serbia
Interests: physical geography; anthropogenic warming
Special Issues, Collections and Topics in MDPI journals
Prof. Dr. Jasmina Đorđević

E-Mail Website
Guest Editor
Department of Geography, Tourism and Hotel Management, Faculty of Sciences, University of Novi Sad, Trg Dositeja Obradovica 3, 21000 Novi Sad, Serbia
Interests: sustainable transport development; transportation in spatial planning; urban transport development; land use and transport interactions

Special Issue Information

Dear Colleagues,

The Influence of Transport on Global Warming and Environmental Sustainability explores the significant impact of transportation systems on the environment and global warming. This field of research sheds light on the intricate relationship between various modes of transportation and their contribution to climate change. As the transportation sector is a major source of greenhouse gas emissions, primarily carbon dioxide, due to the burning of fossil fuels in vehicles, such as cars, trucks, ships, and airplanes, scientific research on this topic plays a great part in sustainable development in the future. The Influence of Transport on Global Warming and Environmental Sustainability delves into the consequences of these emissions, including rising sea levels, extreme weather events, and disruptions to ecosystems. It also underscores the urgent need for sustainable transportation solutions, such as electric vehicles, public transportation systems, and alternative fuels, to mitigate the adverse effects of transportation on the environment. Policymakers, industries, and individuals all play crucial roles in addressing this issue through the adoption of eco-friendly transportation practices and the development of efficient, low-emission transportation technologies. Ultimately, understanding the influence of transport on global warming and environmental sustainability is vital for creating a more sustainable future for our planet.

In this Special Issue, original research articles and reviews are welcome. Research areas may include (but are not limited to) the following:

  • Transport emissions;
  • Global warming;
  • Environmental sustainability;
  • Greenhouse gas emissions;
  • Sustainable transportation;
  • Fossil fuel consumption;
  • Climate change;
  • Alternative fuels;
  • Public transportation;
  • Eco-friendly transportation;
  • Transport planning.

We look forward to receiving your contributions.

Prof. Dr. Slobodan B. Marković
Prof. Dr. Jasmina Đorđević
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 submissions that pass pre-check are 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 semimonthly 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 2400 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

  • transport emissions
  • global warming
  • environmental sustainability
  • greenhouse gas emissions
  • sustainable transportation
  • fossil fuel consumption
  • climate change
  • alternative fuels
  • public transportation
  • eco-friendly transportation
  • transport planning

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Further information on MDPI's Special Issue policies can be found here.

Published Papers (4 papers)

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Research

17 pages, 868 KiB  
Article
Transport Sector Emissions and Environmental Sustainability: Empirical Evidence from GCC Economies
by Jawaher Binsuwadan
Sustainability 2024, 16(23), 10760; https://doi.org/10.3390/su162310760 - 8 Dec 2024
Cited by 1 | Viewed by 1622
Abstract
This paper analyses the asymmetric effects of air transport on CO2 emissions from transport in the Gulf Cooperation Council countries. The analysis utilises CO2 emissions from transport, which are more relevant and critical for assessing the environmental performance of transport. Moreover, [...] Read more.
This paper analyses the asymmetric effects of air transport on CO2 emissions from transport in the Gulf Cooperation Council countries. The analysis utilises CO2 emissions from transport, which are more relevant and critical for assessing the environmental performance of transport. Moreover, the current paper has examined this relationship with further macroeconomic variables within the Gulf Cooperation Council context. This paper uses a significant sample of six nations and spans an extensive period from 1990 to 2020. The second-generation Auto Regressive Distributed Lag model was applied to enable the examination of regional heterogeneity and the assessment of transport’s effect on CO2 emissions across several countries. The intensity of environmental degradation may differ among the Gulf Cooperation Council countries, hence, environmental policies should include trends in transport emissions. Long-term estimates based on the ARDL technique suggest that energy consumption, economic growth, and air travel exacerbate the ratio of CO2 emissions from transport and pollution levels. The results can be utilised to develop a transport-related environmental strategy that aligns with the sustainable development goals. The paper proposes strategies for achieving a sustainable environment and energy future. Full article
(This article belongs to the Special Issue The Influence of Transport on Global Warming and Environmental Sustainability)
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20 pages, 12792 KiB  
Article
Structural Characteristics of Expressway Carbon Emission Correlation Network and Its Influencing Factors: A Case Study in Guangdong Province
by Hailing Wu, Yuanjun Li, Kaihuai Liao, Qitao Wu and Kanhai Shen
Sustainability 2024, 16(22), 9899; https://doi.org/10.3390/su16229899 - 13 Nov 2024
Cited by 1 | Viewed by 955
Abstract
Understanding the spatial correlation of transportation carbon emissions and their influencing factors is significant in achieving an overall regional carbon emission reduction. This study analyzed the structure characteristics of the expressway carbon emission correlation network in Guangdong Province and examined its influencing factors [...] Read more.
Understanding the spatial correlation of transportation carbon emissions and their influencing factors is significant in achieving an overall regional carbon emission reduction. This study analyzed the structure characteristics of the expressway carbon emission correlation network in Guangdong Province and examined its influencing factors with intercity expressway traffic flow data using social network analysis (SNA). The findings indicate that the correlation network of expressway carbon emissions in Guangdong Province exhibited a “core-edge” spatial pattern. The overall network demonstrated strong cohesion and stability, and a significant difference existed between the passenger vehicle and freight vehicle carbon emission networks. The positions and roles of different cities varied within the carbon emission network, with the Pearl River Delta (PRD) cities being in a dominant position in the carbon network. Cities such as Guangzhou, Foshan, and Dongguan play the role of “bridges” in the carbon network. The expansion of differences in GDP per capita, industrial structure, technological level, and transportation intensity facilitates the formation of a carbon emission network. At the same time, geographical distance between cities and policy factors inhibit them. This study provides references for developing regional collaborative carbon emission governance programs. Full article
(This article belongs to the Special Issue The Influence of Transport on Global Warming and Environmental Sustainability)
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24 pages, 2006 KiB  
Article
Promoting Sustainable Transportation: Factors Influencing Battery Electric Vehicle Adoption Across Age Groups in Thailand
by Natcha Limpasirisuwan, Thanapong Champahom, Sajjakaj Jomnonkwao and Vatanavongs Ratanavaraha
Sustainability 2024, 16(21), 9273; https://doi.org/10.3390/su16219273 - 25 Oct 2024
Cited by 5 | Viewed by 3663
Abstract
Battery Electric Vehicles (BEVs) are a crucial innovation for achieving sustainable transportation and reducing greenhouse gas emissions, which are major contributors to global warming and climate change. While previous studies have explored attitudes towards BEV technology acceptance, few have examined the interplay of [...] Read more.
Battery Electric Vehicles (BEVs) are a crucial innovation for achieving sustainable transportation and reducing greenhouse gas emissions, which are major contributors to global warming and climate change. While previous studies have explored attitudes towards BEV technology acceptance, few have examined the interplay of external factors such as government measures and adoption barriers in promoting sustainable mobility. This study addresses this gap by investigating the roles of government policies, usage obstacles and innovation diffusion in stimulating BEV purchase intentions, while applying the Innovative Diffusion Theory (IDT). Data from 3632 respondents in Thailand were analyzed using structural equation modeling (SEM) to examine causal relationships between factors. The results indicate that government policies supporting BEV users enhance innovation diffusion in society, leading to increased adoption intentions. Furthermore, effective policies help mitigate barriers to BEV usage, further encouraging adoption. The study also reveals that causal relationships of BEV usage intentions vary across age groups, highlighting the need for targeted approaches in promoting sustainable transportation. These findings contribute to the development of evidence-based policy recommendations to accelerate BEV adoption, supporting Thailand’s Carbon Neutrality goals and broader sustainable development objectives. By elucidating the complex dynamics of BEV adoption, this research provides valuable insights for policymakers and stakeholders working towards a more sustainable and environmentally friendly transportation sector. Full article
(This article belongs to the Special Issue The Influence of Transport on Global Warming and Environmental Sustainability)
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26 pages, 2949 KiB  
Article
Study on Transportation Carbon Emissions in Tibet: Measurement, Prediction Model Development, and Analysis
by Wu Bo, Kunming Zhao, Gang Cheng, Yaping Wang, Jiazhe Zhang, Mingkai Cheng, Can Yang and Wa Da
Sustainability 2024, 16(19), 8419; https://doi.org/10.3390/su16198419 - 27 Sep 2024
Cited by 1 | Viewed by 1478
Abstract
In recent years, the socio-economic development in the Tibet region of China has experienced substantial growth. However, transportation increasingly strains the region’s fragile ecological environment. Most studies overlook the accurate measurement and analysis of factors influencing traffic carbon emissions in Tibet due to [...] Read more.
In recent years, the socio-economic development in the Tibet region of China has experienced substantial growth. However, transportation increasingly strains the region’s fragile ecological environment. Most studies overlook the accurate measurement and analysis of factors influencing traffic carbon emissions in Tibet due to data scarcity. To address this, this paper applies an improved traffic carbon emissions model, using transportation turnover data to estimate emissions in Tibet from 2008 to 2020. Simultaneously, the estimated traffic carbon emissions in Tibet served as the predicted variable, and various machine learning algorithms, including Radial Basis Function Support Vector Machine (RBF-SVM), eXtreme Gradient Boosting (XGBoost), Random Forest, and Gradient Boosting Decision Tree (GBDT) are employed to conduct an initial comparison of the constructed prediction models using three-fold cross-validation and multiple evaluation metrics. The best-performing model undergoes further optimization using Grid Search (GS) and Real-coded Genetic Algorithm (RGA). Finally, the central difference method and Local Interpretable Model-Agnostic Explanation (LIME) algorithm are used for local sensitivity and interpretability analyses on twelve core variables. The results assess each variable’s contribution to the model’s output, enabling a comprehensive analysis of their impact on Tibet’s traffic carbon emissions. The findings demonstrate a significant upward trend in Tibet’s traffic carbon emissions, with road transportation and civil aviation being the main contributors. The RBF-SVM algorithm is most suitable for predicting traffic carbon emissions in this region. After GS optimization, the model’s R2 value exceeded 0.99, indicating high predictive accuracy and stability. Key factors influencing traffic carbon emissions in Tibet include civilian vehicle numbers, transportation land-use area, transportation output value, urban green coverage areas, per capita GDP, and built-up area. This paper provides a systematic framework and empirical support for measuring, predicting, and analyzing factors influencing traffic carbon emissions in Tibet. It employs innovative measurement methods, optimized machine learning models, and detailed sensitivity and interpretability analyses. The results can guide regional carbon reduction targets and promote green sustainable development. Full article
(This article belongs to the Special Issue The Influence of Transport on Global Warming and Environmental Sustainability)
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