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Artykuły w czasopismach na temat „Emission forecast sustainable transportation”

Autor: Grafiati

Data publikacji: 2 czerwca 2025

Data aktualizacji: 31 lipca 2025

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1

K., Sabitha, and Lavanya S. "Carbon Emission and Engine Cleaning Forecast." Recent Trends in Information Technology and its Application 8, no. 3 (2025): 27–35. https://doi.org/10.5281/zenodo.15429777.

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<em>Owing to the emerging technologies, innovations are introduced in the context of car maintenance and environmental preservation. These novel systems provide increased access to vehicle diagnostics, and support precise and instantaneous measurement of engine efficiency as well as carbon emissions. Environmental well-being and atmospheric purity are concerns of considerable seriousness that should be addressed with the highest precautions and preventive protocols. Excess carbon emission by engines has been a huge issue in recent years, calling for predictive emission monitoring and pre-empti

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Yang Tang, Yang Tang, Weiwei Liu Yang Tang, Saurabh Singh Weiwei Liu, Osama Alfarraj Saurabh Singh, and Amr Tolba Osama Alfarraj. "Passenger Flow Forecast for Low Carbon Urban Transport Based on Bi-Level Programming Model." 網際網路技術學刊 24, no. 5 (2023): 1067–77. http://dx.doi.org/10.53106/160792642023092405005.

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<p>In the context of low-carbon city development, this paper further implements a rail transit passenger flow forecasting method to optimize energy consumption by combining the MMA allocation model with a two-tier planning model for carbon emission control. Through this approach, this paper not only fills the gap of rail transportation planning theories and methods compatible with low-carbon city development, but also emphasizes the importance of energy consumption in transportation planning. Based on a two-tier planning model, this paper considers the Starkberg game between multi-modal

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Padsala, Rushikesh, Thunyathep Santhanavanich, Ursula Eicker, and Volker Coors. "Conceptualising an Urban Digital Twin Framework for Simulating the Impact of Household Consumption Choices on the Carbon Footprint of Urban Neighborhoods." International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences XLVIII-4/W10-2024 (May 31, 2024): 147–54. http://dx.doi.org/10.5194/isprs-archives-xlviii-4-w10-2024-147-2024.

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Abstract. This paper presents a concept and first glimpse at the development of an urban digital twin framework to estimate and forecast the carbon footprints of urban neighbourhoods, with a focus on household consumption choices, specifically in buildings, food, and transportation sectors, as key emission contributors. Despite constituting nearly three-quarters of global carbon emissions, the influence of household consumption choices on a region’s carbon footprint is often neglected. While assessments at a regional or city scale may prove too broad for targeted mitigation strategies, estimat

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Chupin, Alexander, Dmitry Morkovkin, Marina Bolsunovskaya, Anna Boyko, and Alexander Leksashov. "Techno-Economic Sustainability Potential of Large-Scale Systems: Forecasting Intermodal Freight Transportation Volumes." Sustainability 16, no. 3 (2024): 1265. http://dx.doi.org/10.3390/su16031265.

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The sustainability of large economies is one of the most important challenges in today’s world. As the world strives to create a greener and more efficient future, it becomes necessary to accurately analyze and forecast freight volumes. By developing a reliable freight transportation forecasting model, the authors will be able to gain valuable insights into the trends and patterns that determine the development of economic systems. This will enable informed decisions on resource allocation, infrastructure development, and environmental impact mitigation. Such a model takes into account various

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Zhang, Bing, Yiling Zong, and Fang Liu. "Carbon Emission Prediction of the Transportation Industry in Jiangsu Province Based on the WOA-SVM Model." Sustainability 17, no. 10 (2025): 4612. https://doi.org/10.3390/su17104612.

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The global environment has been facing sustainability threats recently owing to industrial and economic expansion. Hence, achieving the goals of carbon peak and carbon neutrality is crucial for promoting sustainable economic growth. To help the transportation industry achieve these goals, this study selects eight variables, including population size, per capita GDP, personal vehicle ownership, passenger and freight turnover, and green space coverage, as factors influencing the carbon emissions of the transportation industry in Jiangsu Province. This research uses these variables as the basis f

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Ul Islam, Zia. "Climate Changes and Sustainable Trade Practices in Dubai." INTERNATIONAL JOURNAL OF SCIENTIFIC RESEARCH IN ENGINEERING AND MANAGEMENT 09, no. 05 (2025): 1–9. https://doi.org/10.55041/ijsrem48703.

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Abstract Dubai is proactively tackling climate change through the implementation of governmental policies, sustainable trade practices, and renewable energy initiatives aimed at minimizing its carbon footprint and enhancing global sustainability efforts. This strategy encompasses the adoption of renewable energy sources, improvements in energy efficiency, and the execution of sustainable urban design and transportation policies. Currently, the international community is confronted with the pressing issue of climate change, which is acknowledged as a significant threat to one of the most vulner

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Guo, Yilin, Zhengmeng Hou, Yanli Fang, et al. "Forecasting and Scenario Analysis of Carbon Emissions in Key Industries: A Case Study in Henan Province, China." Energies 16, no. 20 (2023): 7103. http://dx.doi.org/10.3390/en16207103.

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In a global context where sustainable growth is imperative, understanding carbon emissions in significant regions is essential. Henan Province, being a vital region in China for population, agriculture, industry, and energy consumption, plays a crucial role in this understanding. This study, rooted in the need to identify strategies that not only meet China’s broader carbon neutrality objectives but also offer insights regarding global sustainability models, utilizes the STIRPAT model combined with scenario analysis. The aim was to forecast carbon emission trajectories from 2020 to 2060 across

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Rajbhandari, Salony, Shubha Laxmi Shrestha, Ramchandra Bhandari, Ajay Kumar Jha, and Hari Bahadur Darlami. "Contribution to the Net-Zero Emissions Target from the Transport Sector through Electric Mobility—A Case of Kathmandu Valley." Sustainability 16, no. 3 (2024): 1211. http://dx.doi.org/10.3390/su16031211.

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Globally, the transportation sector stands as the third largest contributor to greenhouse gas (GHG) emissions. Nepal is no exception, relying entirely on imported petroleum products. The capital city of Nepal, Kathmandu Valley, with its unique bowl-shaped topography, faces major urban challenges including inadequate mobility and poor air quality. This paper aims to investigate the magnitude of GHG emissions from conventional vehicles within Kathmandu Valley and analyze the counter-role of electric mobility in creating a more livable city. This study conducted a primary survey to estimate trans

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Mao, Changjiang, Jian Luo, Shengyang Jiao, and Bin Zhao. "Logarithmic Mean Divisia Index Analysis and Dynamic Back Propagation Neural Network Prediction of Transport Carbon Emissions in Henan Province." Energies 18, no. 7 (2025): 1630. https://doi.org/10.3390/en18071630.

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Amid escalating global concerns over climate change and sustainable development, carbon emissions have emerged as a critical issue for the international community. The control of carbon dioxide (CO2) emissions is particularly crucial for meeting the objectives of the Paris Agreement. This study applied the LMDI decomposition method and a BP neural network model to thoroughly analyse the factors influencing carbon emissions in Henan Province’s transportation sector and forecast future trends. Our core contribution is the development of an integrated model that quantifies the impact of key facto

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Lee, Gyeongjae, Sujae Kim, Jahun Koo, and Sangho Choo. "Exploring Psychological Factors Influencing the Adoption of Sustainable Public Transit Considering Preference Heterogeneity." Sustainability 16, no. 18 (2024): 7924. http://dx.doi.org/10.3390/su16187924.

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Carbon emission reduction strategies are being implemented in the transportation sector by encouraging the adoption of eco-friendly vehicles and introducing demand management policies such as Mobility as a Service (MaaS). Nevertheless, the efficacy of MaaS in reducing carbon emissions remains uncertain. This study introduces Sustainable Public Transit (SPT) as a public transit alternative consisting of only green modes to promote sustainability. We explore the preferences of SPT in a commuting context, incorporating individual preference heterogeneity in a discrete choice model. We systematica

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Li, Yang, Lu Miao, Ying Chen, and Yike Hu. "Exploration of Sustainable Urban Transportation Development in China through the Forecast of Private Vehicle Ownership." Sustainability 11, no. 16 (2019): 4259. http://dx.doi.org/10.3390/su11164259.

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With the acceleration of China’s urbanization process, the urban transportation problem has become increasingly serious. The rapid expansion of private vehicle ownership, in particular, has become one of the barriers to the realization of sustainable urban transition. This paper applied the Gompertz model to analyze the non-linear relationship between private vehicle ownership and per capita GDP in China using provincial data. In addition, we forecasted private vehicle ownership for 31 Chinese provinces for the period of 2019–2030 and predicted the time to reach the upper limit of 1000 people

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Mohamad, Diana binti, and Qiong Wu. "Sustainable development of road tourism: Model-based forecast of future trends." Data and Metadata 4 (May 12, 2025): 928. https://doi.org/10.56294/dm2025928.

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Objective: Road tourism plays a crucial role in sustainable regional development, involving intelligent route planning to balance tourist demand, environmental sustainability, and infrastructure capacity. Traditional methods often fail to capture the dynamic nature of visitor preferences, which are influenced by the previous behaviors, traffic congestion, and environmental factors. The research aims to address these limits by forecasting future trends in sustainable road tourism using a superior predictive model. Method: To tackle the challenges, this research proposes a Bidirectional Gated Re

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Jagtap, S. S. "Systems Evaluation of Subsonic Hybrid-Electric Propulsion Concepts for NASA N+3 Goals and Conceptual Aircraft Sizing." International Journal of Automotive and Mechanical Engineering 16, no. 4 (2019): 7259–86. http://dx.doi.org/10.15282/ijame.16.4.2019.07.0541.

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The air-travel demand is anticipated to grow in future and therefore the worldwide airtraffic is forecast to increase significantly. This growth in demand further increases the concerns pertaining to environmental and human health, which results in stringent aviation policies. Emission regulations have been set for the aviation sector to reduce its climate change impacts, and these support the efforts to meet the goals of the UN’s Paris treaty on climate change. The aviation sector is exploring sustainable and improved technologies to become more energy and cost efficient. Along these lines, N

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Glavič, Peter. "Evolution and Current Challenges of Sustainable Consumption and Production." Sustainability 13, no. 16 (2021): 9379. http://dx.doi.org/10.3390/su13169379.

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This review paper examines the past, present, and future of sustainable consumption and production (SCP). The history of the Sustainable Development Goal No. 12 (i.e., to ensure sustainable consumption and production patterns) is presented and analyzed. A definition of the sustainable consumption is given and the role of education is explained. The present status and existing trends of SCP are introduced by analyzing unsustainable behavior and the existing dilemma, namely sustainable growth or degrowth. A very broad range of methods is used for measuring and evaluating SCP within sustainable d

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СЕРЕДА, Борис, Дар’я МУКОВСЬКА, Євгеній ЗЮЗІН, and Віталій ОРЕЛ. "ENVIRONMENTAL ASPECTS OF TRANSPORT SYSTEM DEVELOPMENT: FROM CONCEPT TO IMPLEMENTATION." СУЧАСНІ ТЕХНОЛОГІЇ В МАШИНОБУДУВАННІ ТА ТРАНСПОРТІ 1, no. 24 (2025): 83–88. https://doi.org/10.36910/automash.v1i24.1711.

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The article examines the environmental aspects of developing modern transport systems, focusing on sustainable development and the integration of eco-friendly technologies. Transportation is a major contributor to environmental pollution, making the reduction of emissions, improvement of energy efficiency, and minimization of climate impact critical tasks. The study aims to analyze the main approaches to creating environmentally efficient transport systems and identify the key factors influencing their implementation. The article provides a detailed overview of international initiatives aimed

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Pourmatin, Mohammad, Moein Moeini-Aghtaie, Erfan Hassannayebi, and Elizabeth Hewitt. "Transition to Low-Carbon Vehicle Market: Characterization, System Dynamics Modeling, and Forecasting." Energies 17, no. 14 (2024): 3525. http://dx.doi.org/10.3390/en17143525.

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Rapid growth in vehicle ownership in the developing world and the evolution of transportation technologies have spurred a number of new challenges for policymakers. To address these challenges, this study develops a system dynamics (SD) model to project the future composition of Iran’s vehicle fleet, and to forecast fuel consumption and CO2 emissions through 2040. The model facilitates the exploration of system behaviors and the formulation of effective policies by equipping decision-makers with predictive insights. Under various scenarios, this study simulates the penetration of five distinct

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Pulastya, Anurag. "Predictive Analysis of Growth of Electric Vehicle (EV) Market in India." INTERNATIONAL JOURNAL OF SCIENTIFIC RESEARCH IN ENGINEERING AND MANAGEMENT 09, no. 06 (2025): 1–9. https://doi.org/10.55041/ijsrem50530.

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1. Abstract India is at a key point in its shift to sustainable transportation, with electric vehicles (EVs) being a crucial solution to lower carbon emissions and reduce reliance on fossil fuels. This study performs a predictive analysis of the growth of India’s EV market by looking at consumer views, government incentives, and the readiness of infrastructure using both primary and secondary data. An organized online survey was carried out with 41 digitally engaged consumers, and sales data from 2020 to 2024 was analyzed to predict future market trends. Descriptive statistics and regression a

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Lu, Yourong. "UK Battery Electric Vehicle Sales Prediction Using ARIMA and SARIMA Models." Advances in Economics, Management and Political Sciences 126, no. 1 (2024): 185–90. https://doi.org/10.54254/2754-1169/2024.18340.

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As a crucial part of fulfilling its commitment to the Paris Agreement, the adoption of electric vehicles (EVs) is a milestone of the UKs strategy to achieve environmental sustainability. The UK government has been employing tactics like providing subsidies to EV buyers and exempting EVs from congestion charge and road tax to promote the sales of clean fuel vehicles. Among these varieties of EVs, only battery electric vehicles (BEVs) are running completely on electric power with zero emission, which makes it more worthy to study the sales pattern and predict the future sales figures of BEVs. Th

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Peng, Zhimin, and Miao Li. "Carbon Emissions Intensity of the Transportation Sector in China: Spatiotemporal Differentiation, Trends Forecasting and Convergence Characteristics." Sustainability 17, no. 3 (2025): 815. https://doi.org/10.3390/su17030815.

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Effectively controlling the carbon emissions intensity of the transportation sector (TSCEI) is essential to promote the sustainable development of the transportation industry in China. This study, which builds upon trend analysis, the Dagum Gini coefficient, and spatial autocorrelation analysis to reveal the spatiotemporal differentiation of TSCEI, employs both traditional and spatial Markov chain to analyze the dynamic evolution of TSCEI and forecast its future development trend. Furthermore, econometric models are constructed to examine the convergence characteristics of TSCEI. The empirical

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Boray, Tye, Mohamed Hegazi, Holger Busche, and Gord Lovegrove. "The Economic Feasibility of (Re-)Introducing Tram-Trains in Canada: Okanagan Valley Electric Regional Passenger Rail." Sustainability 16, no. 10 (2024): 4081. http://dx.doi.org/10.3390/su16104081.

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Population and tourism growth has increased congestion, collisions, climate harming emissions, and transport inequities in the Okanagan Valley, British Columbia (B.C.), Canada. Surveys indicate a willingness among residents to switch from cars to public transit featuring better service levels and connections. We conducted an analysis on the economic feasibility of an Okanagan Valley Electric Regional Passenger Rail (OVER PR) powered by zero-emission (ZE) Fuel Cell/Battery Hybrid Rail (Hydrail) technology along a 342-km route between Osoyoos, B.C., at the US Border and Kamloops, B.C., the Canad

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Ding, Mengzhen, Shaohua Zhang, Lemei Li, Yishuang Wu, Qiyao Yang, and Jun Cai. "Environmental Benefits Evaluation of a Bike-Sharing System in the Boston Area: A Longitudinal Study." Urban Science 9, no. 5 (2025): 159. https://doi.org/10.3390/urbansci9050159.

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With increasing concerns over climate change and air pollution, sustainable transportation has become a critical component of modern city planning. Bike-sharing systems have emerged as an eco-friendly alternative to motorized transport, contributing to energy conservation and emission reduction. To elaborate on bike-sharing’s contribution to urban sustainable development, this study conducts a quantitative analysis of its environmental benefits through a case study of the Bluebikes program in the Boston area, using a longitudinal dataset of 20.07 million bike trips from January 2015 to Decembe

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Michalczuk, Grażyna. "Green Bonds as an Instrument of Sustainable Financing – Rationale and Prospects for Development." Studia Sieci Uniwersytetów Pogranicza 8 (2024): 143–56. https://doi.org/10.15290/sup.2024.08.10.

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Goal – Showing the specifics, rationale and prospects for the development of green bonds. This is currently an important issue that arises from the implementation of the climate policy goals set out in the Paris Agreement. Ensuring the financing of investments necessary to achieve climate goals requires the use of sustainable financial instruments, such as debt securities, especially green bonds. Research methodology – The article uses research methods such as literature studies on the subject, as well as content analysis of reports and statistics on sustainable financing issues. Score/results

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Yudiartono, Yudiartono, Joko Santosa, Ira Fitriana, et al. "Renewable energy in sustainable cities: Challenges and opportunities by the case study of Nusantara Capital City (IKN)." International Journal of Renewable Energy Development 13, no. 6 (2024): 1136–48. http://dx.doi.org/10.61435/ijred.2024.60390.

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Indonesia's future IKN capital might be sustainable, low-carbon, and climate-resilient. The Low Emissions Analysis Platform (LEAP) simulates energy efficiency in various demand sectors, renewable energy, and sustainable transportation solutions. Sustainable cars, such as renewable-energy-powered electric and green hydrogen-powered vehicles, can reduce energy consumption by 43% in 2045 and 33% in 2060, respectively, compared to BAU. GHG emissions per capita will drop 70% in 2045 and 63% in 2060. In the net-zero emission (NZE) scenario, IKN can reach 100% green energy by 2045 with a 4.4 GW solar

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Sekhar, J. N. Chandra, Bullarao Domathoti, and Ernesto D. R. Santibanez Gonzalez. "Prediction of Battery Remaining Useful Life Using Machine Learning Algorithms." Sustainability 15, no. 21 (2023): 15283. http://dx.doi.org/10.3390/su152115283.

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Electrified transportation systems are emerging quickly worldwide, helping to diminish carbon gas emissions and paving the way for the reduction of global warming possessions. Battery remaining useful life (RUL) prediction is gaining attention in real world applications to tone down maintenance expenses and improve system reliability and efficiency. RUL forms the prominent component of fault analysis forecast and health management when the equipment operation life cycle is considered. The uprightness of RUL prediction is vital in providing the effectiveness of electric batteries and reducing t

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Al-Nuaimi, Banawi, and Al-Ghamdi. "Environmental and Economic Life Cycle Analysis of Primary Construction Materials Sourcing Under Geopolitical Uncertainties: A Case Study of Qatar." Sustainability 11, no. 21 (2019): 6000. http://dx.doi.org/10.3390/su11216000.

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Environmental and economic cycles under varying geopolitical uncertainties can lead to unsustainable patterns that significantly and negatively affect the welfare of nations. With the ever-increasing negative environmental and economic impacts, the ability to achieve sustainability is hindered if the implications are not properly assessed in challenging geopolitical crises. The infrequent and fluctuating nature of these challenging geopolitical settings causes disregard and neglect for exploration within this issue. In this study, a comparative life cycle assessment was conducted as a method t

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Matijošius, Jonas, Sergiy Rychok, Yurii Gutarevych, et al. "Enhancing the Fuel Efficiency and Environmental Performance of Spark-Ignition Engines through Advancements in the Combined Power Regulation Method." Energies 17, no. 14 (2024): 3563. http://dx.doi.org/10.3390/en17143563.

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A major issue with spark-ignition engines is their fuel inefficiency and negative environmental effects, especially in urban driving situations. This topic is of utmost importance considering the increasing apprehension over environmental contamination and the need for enhanced energy efficiency. The research’s originality resides in its strategy to tackling this issue without necessitating intricate engine changes, a manner not commonly used. The research uses a dual strategy that integrates both theoretical and experimental approaches. The theoretical component entails developing models to f

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Emmanuel Augustine Etukudoh. "THEORETICAL FRAMEWORKS OF ECOPFM PREDICTIVE MAINTENANCE (ECOPFM) PREDICTIVE MAINTENANCE SYSTEM." Engineering Science & Technology Journal 5, no. 3 (2024): 913–23. http://dx.doi.org/10.51594/estj.v5i3.946.

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The Frameworks of EcoPFM Predictive Maintenance (PM) System presents a novel approach to maintenance optimization within eco-friendly power facilities, addressing the critical need for sustainable, efficient asset management. This paper introduces an integrated framework leveraging advanced predictive analytics, machine learning algorithms, and Internet of Things (IoT) technology to enable proactive maintenance interventions based on real-time data insights. Focusing on the context of the United States it highlights the significance of implementing such a system in the realm of eco-friendly en

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Liu, Yan Yan, Yan Feng Wang, Jun Qing Yang, and Ye Zhou. "Scenario Analysis of Carbon Emissions in Jiangxi Transportation Industry Based on LEAP Model." Applied Mechanics and Materials 66-68 (July 2011): 637–42. http://dx.doi.org/10.4028/www.scientific.net/amm.66-68.637.

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Transportation industry is an important field to reduce greenhouse gas emissions and climate change. Scenario analysis of transportation industry can provide theoretical support to the formulation and implementation of carbon emissions reduction policy. In view of this, The transportation industry of Jiangxi province will be given into four departments including civil aviation, railways, highways and waterways, and it was used the LEAP model to set three scenarios in the different application of economic development mode and different traffic development mode, then forecasted the main carbon e

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Biró, Norbert, and Péter Kiss. "Emission Quantification for Sustainable Heavy-Duty Transportation." Sustainability 15, no. 9 (2023): 7483. http://dx.doi.org/10.3390/su15097483.

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Vehicles equipped with internal combustion engines (ICE) are major contributors to greenhouse gas (GHG) emissions and dependence on fossil fuels. Alternatives such as electric, hydrogen fuel cell and biofuel-based propulsions are being considered as a replacement for the well-established ICE vehicles to reduce GHG emissions and provide sustainable transportation. This paper will compare various heavy-duty vehicle (HDV) propulsion combinations using a well-to-wheel (WTW) analysis, separated into two parts: Well-to-Tank (WTT) and Tank-to-Wheel (TTW). The WTW analysis of ICE HDV is based on a Eur

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Wang, Haoqing, Yuan Liu, Fei Li, and Shuaian Wang. "Sustainable Maritime Transportation Operations with Emission Trading." Journal of Marine Science and Engineering 11, no. 9 (2023): 1647. http://dx.doi.org/10.3390/jmse11091647.

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The European Union (EU) has recently approved the inclusion of shipping in its Emissions Trading System, aiming to foster sustainable development within the shipping industry. While this new policy represents a significant step towards reducing carbon emissions, it also poses challenges for shipping companies, particularly in terms of operation costs. To assist shipping companies in devising optimal strategies under the new policy, this study proposes new techniques to determine the optimal solutions for sailing speed and the number of ships on the route, covering both EU and non-EU areas. Add

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Sun, Yanming, Yile Yang, Shixian Liu, and Qingli Li. "Research on Transportation Carbon Emission Peak Prediction and Judgment System in China." Sustainability 15, no. 20 (2023): 14880. http://dx.doi.org/10.3390/su152014880.

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The transportation sector is a major contributor to carbon emissions, and managing its carbon peak is essential for China to reach the 2030 carbon peak target. This paper uses the autoregressive integrated moving average model (ARIMA) to design baseline scenarios and “double carbon” scenarios (carbon peak and carbon neutrality) based on the accounting of transportation carbon emissions in 30 provinces and cities in China to facilitate regional differentiation and forecast the development trend of transportation carbon emissions. Using the fuzzy comprehensive evaluation method, a comprehensive

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Raharjo, Efendhi Prih, Annisa Mahadita Candrarahayu, Febrianto Fatah Yogatama, and I. Kadek Surya Putra Adidana. "Transportation Modeling in Supporting Sustainable Transportation Systems and Low Emission Zone Planning Development in Indonesian Tourism Destinations." Jurnal Teknologi Transportasi dan Logistik 3, no. 2 (2022): 183–94. http://dx.doi.org/10.52920/jttl.v3i2.90.

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Sustainable areas are currently needed in the development of tourism destinations. A sustainable transportation system and the urgency of environmental sustainability are one of the main supporting aspects in achieving regional sustainability. This research aims to produce transportation modeling in support of sustainable transportation systems and the development of Low Emission Zone planning in tourism destinations. The method used in this study is a quantitative method developed through transportation modeling using the Vissim and Visum programs. The analysis was carried out on roads in the

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Judijanto, Loso, Budi Sulistiyo Nugroho, Annasit Annasit, Haris Numan Aulia, and Zami Furqon. "Analysis of Vehicle Emission Policies and Electric Vehicle Incentives on Air Pollution and Sustainable Transportation Use in Jakarta, Indonesia." West Science Social and Humanities Studies 2, no. 06 (2024): 1010–22. http://dx.doi.org/10.58812/wsshs.v2i06.975.

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This research investigates the impact of vehicle emission policies and electric vehicle incentives on air pollution perceptions and sustainable transportation use in Jakarta, Indonesia. Through a quantitative analysis employing structural equation modeling, survey data from diverse stakeholders are analyzed to assess the relationships between key variables. Findings indicate significant associations between stringent vehicle emission policies, electric vehicle incentives, lower air pollution perceptions, and increased sustainable transportation use. These results underscore the importance of c

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Pranita, Diaz, and Sri Sarjana. "A Conceptual Approach to Defining a Carbon Tax in the Transport Sector in Indonesia: Economic, Social, and Environmental Aspects." Energies 18, no. 13 (2025): 3493. https://doi.org/10.3390/en18133493.

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The implementation of a carbon tax in the transportation sector aims to reduce carbon emissions and encourage the transition to sustainable mobility amid increasing urbanization. The transportation sector is one of the largest contributors of carbon emissions in Indonesia, requiring effective policies to reduce its environmental impacts. Therefore, this study aims to find a more optimal carbon tax formula that is in accordance with Indonesia’s socio-economic conditions. The approach used includes analysis of transportation emission data, the economic impact of different carbon tax schemes, and

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Setiyo, Muji. "Sustainable Transport: The Role of Clean Energy, Mass Rapid Transit, Non-motorized Mobility, and Challenges to Achievement." Automotive Experiences 6, no. 1 (2023): 1–3. https://doi.org/10.31603/ae.9108.

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Sustainable transport is an important concept to reduce dependence on fossil fuels and to realize a cleaner and more sustainable future. This is achieved through the use of clean energy, low-emission vehicles, efficient use of resources, and transportation planning that considers the needs of the environment and society. Therefore, the use of clean and renewable energy sources, Mass Rapid Transit (MRT), and non-motorized mobility continue to be promoted to support a sustainable transportation system. However, there are several challenges that must be overcome to achieve a truly sustainable tra

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Hu, Ying Yue, Feng Chen, and Yao Huang. "Prospective Prognosis of Beijing Urban Transportation Energy Consumption and Carbon Emission." Applied Mechanics and Materials 253-255 (December 2012): 1121–29. http://dx.doi.org/10.4028/www.scientific.net/amm.253-255.1121.

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In order to achieve the goal of low-carbon development of the Beijing transportation, the changing trend of the transportation energy consumption and carbon emission is analyzed based on the inertia development of the present situation or under different macroscopic regulations so as to provide theoretical reference for transportation department to formulate development strategies effectively. According to the characteristics of the Beijing urban transportation system, first a energy consumption and carbon emission calculation model for urban road traffic and urban rail transit was established

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Prajapati, Dhirendra, H. Chelladurai, Fuli Zhou, Andrew W. H. Ip, and Saurabh Pratap. "Sustainable multi-products delivery routing network design for two-echelon supplier selection problem in B2B e-commerce platform." RAIRO - Operations Research 56, no. 4 (2022): 2115–37. http://dx.doi.org/10.1051/ro/2022072.

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This paper examines the environmental impact produced by multi-vehicle transportation on a sustainable supply chain (SC) network. The relevance of green principles is gaining momentum day by day, which has forced the governments to introduce carbon emission schemes for the transportation associated with the firms. Various countries around the globe are introducing carbon-pricing schemes, in which a carbon tax is imposed based on the amount of anthropogenic emissions. A firm, which sets environmental standards for the emission associated with its operational activities, should design a transpor

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Guo, Zhong, Hong Yang Wu, and Chu Han Yang. "Study on Method of BRT Transportation Station Passenger Flow Forecast with the TOD Mode." Applied Mechanics and Materials 744-746 (March 2015): 2059–62. http://dx.doi.org/10.4028/www.scientific.net/amm.744-746.2059.

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Transit Oriented Development (TOD) is a pattern of intensive land use within Sustainable Development Strategy. BRT Transportation Station is an important part of TOD model, and this paper try to link the TOD model to transit passenger flow forecast. Closely connecting different factors of BRT transportation station, three kinds of Urban Public Transport Hubs were put forward based on TOD. The manner and process of terminal passenger flow forecast were designed based on the study of current passenger flow scale and characteristics in the hub.

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Sofaniadi, Safrinal, Miftahul Huda, and Fajar Hartawan. "Transportasi Berkelanjutan dan Pengaruhnya terhadap Pengurangan Emisi di Kota Semarang." Jurnal Riptek 16, no. 1 (2022): 81–89. http://dx.doi.org/10.35475/riptek.v16i1.144.

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One of the causes of congestion in the city of Semarang is the disproportion between the increase in the number of private vehicles and infrastructure development. Therefore, a comprehensive urban transportation development policy and program is needed to become a policy direction and program for improving connectivity, accessibility, mobility, safety, and environmental sustainability. The strategies in green and sustainable transportation are Spatial Planning Improvement, Public Transportation Service Improvement, Vehicle Technology Development, Environmentally Friendly Fuel Development, Traf

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Zhao, Yu, and Prasanna Divigalpitiya. "Understanding Emission Trends, Regional Distribution Differences, and Synergistic Emission Effects in the Transportation Sector in Terms of Social Factors and Energy Consumption." Sustainability 16, no. 24 (2024): 10971. https://doi.org/10.3390/su162410971.

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China’s transportation sector plays a significant role in reducing carbon dioxide (CO2) and air pollution. Previous studies have predominantly utilized scenario analysis to forecast emissions for the next 30 to 50 years based on coefficients from a base year. To elucidate the current state of gas emissions in the transportation sector, this study employed panel data for 10 types of gas emissions from 2001 to 2020, analyzing their emission characteristics, tendencies, and synergistic effects. Utilizing the Kaya equation and the logarithmic mean division index (LMDI) decomposition method, we dev

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Zhen, Lu, Shuanglu Zhang, Dan Zhuge, Shuaian Wang, and Yong Wang. "An emission control policymaking model for sustainable river transportation." Transportation Research Part A: Policy and Practice 181 (March 2024): 104005. http://dx.doi.org/10.1016/j.tra.2024.104005.

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Jia, Zhenyu, Jiawei Yin, Zeping Cao, et al. "Sustainable transportation emission reduction through intelligent transportation systems: Mitigation drivers, and temporal trends." Environmental Impact Assessment Review 112 (March 2025): 107767. https://doi.org/10.1016/j.eiar.2024.107767.

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Swanson, David, and Yao “Henry” Jin. "The Noble Quest: Navigating Toward Sustainable Transportation." Transportation Journal 62, no. 3 (2023): 249–68. http://dx.doi.org/10.5325/transportationj.62.3.0249.

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Abstract Societies around the world consistently enjoy better living standards as product choices, availability, quality, and cost are continuously improved. As lifestyles improve and the world population grows, so does the amount of transportation necessary to support this lifestyle. Despite our noble quest to adopt more sustainable transportation, and despite countless innovations and improvements, the results are inadequate; carbon reduction is insufficient to curtail our growth trajectory, much less achieve the aggressive zero emission targets set by companies and governments. To examine t

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Czerwinski, Frank. "Critical Minerals for Zero-Emission Transportation." Materials 15, no. 16 (2022): 5539. http://dx.doi.org/10.3390/ma15165539.

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Fundamentals of critical minerals and their paramount role in the successful deployment of clean energy technologies in future transportation are assessed along with current global efforts to satisfy the needs of automotive supply chains and environmental concerns. An implementation of large quantities of minerals, in particular metals, into the manufacturing of strategic components of zero-emission vehicles will bring new challenges to energy security. As a result, a reduced dependency on conventional hydrocarbon resources may lead to new and unexpected interdependencies, including dependenci

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Kanthamanon, Prasert. "Student engagement: the key role of Sustainable Transportation at KMUTT Thailand." Journal of Sustainability Perspectives 3, no. 1 (2023): 69–75. http://dx.doi.org/10.14710/jsp.2023.19965.

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Abstract. King Mongkut’s University of Technology Thonburi (KMUTT) committed to be Sustainable University for SDGs 2030 since 2017 and committed to sustainability leadership in all our activities from operations, teaching, to conducting research. Our commitments are to be a sustainable university providing a role model on Energy, Environment, Safety Management Systems and provide sustainability platform to promote sustainability leadership. Sustainable transportation system has been provided by top management policy since 2018 which focus on walk and bike society with zero emission vehicles, f

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Sarjana, Sri. "Green transportation: Development opportunities in support of sustainable transportation." E3S Web of Conferences 429 (2023): 03003. http://dx.doi.org/10.1051/e3sconf/202342903003.

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Green transportation is a concept developed by utilizing vehicles that are environmentally friendly, low in emissions and do not produce pollution that has a negative impact on the environment. This study aims to analyze scientific publications by utilizing green transportation as the main construct that has relevance to sustainable transportation to be directed into novelty and followed up in future developments. Meta analysis was developed by optimizing the use of scientific literature on the concept of green transportation. The analysis was developed through a qualitative approach and liter

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Srilakshmi, V., and M. Agnisha. "Predictive Smart Mobility Systems for Sustainable and Efficient Urban Transportation." International Journal for Research in Applied Science and Engineering Technology 12, no. 12 (2024): 384–87. https://doi.org/10.22214/ijraset.2024.65774.

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Abstract: The rapid urbanization and growth of cities have placed increasing pressure on transportation systems, leading to traffic congestion, environmental degradation, and inefficiencies in mobility. The Smart Mobility Prediction System (SMPS) is designed to address these challenges by leveraging advanced technologies such as the Internet of Things (IoT), artificial intelligence (AI), machine learning (ML), and big data analytics to optimize transportation networks. This system gathers realtime data from sensors, traffic cameras, GPS devices, and social media feeds to predict traffic patter

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Hou, Lingchun, Yuanping Wang, Yingheng Zheng, and Aomei Zhang. "The Impact of Vehicle Ownership on Carbon Emissions in the Transportation Sector." Sustainability 14, no. 19 (2022): 12657. http://dx.doi.org/10.3390/su141912657.

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As one of the important sources of carbon emissions, the transportation industry should be given attention. This study investigates the relationship between vehicle ownership, economic growth, and environmental pressure on the Chongqing transportation industry (CQTI) based on CQTI data, then constructs a comprehensive regression model and couples the EKC curve and Tapio model for integrated analysis, and finally constructs a LEAP-Chongqing model to forecast CQTI from multiple perspectives. The innovations are that the multi-model examines the effects of different variables and has a better cla

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Li, Li, Honglin Liu, and Bingchun Liu. "Forecast of CO2 and Pollutant Emission Reductions from Electric Vehicles in Beijing–Tianjin–Hebei." Sustainability 17, no. 14 (2025): 6386. https://doi.org/10.3390/su17146386.

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The promotion of new energy vehicles (NEVs) represents a critical strategy for mitigating carbon emissions and air pollution. To evaluate the CO2 and air pollutant reduction potential of NEVs in the Beijing–Tianjin–Hebei region, this study developed an integrated framework combining gray correlation analysis (GRA) and bidirectional long short-term memory (BiLSTM), referred to as the GRA-BiLSTM model, to forecast the adoption trend of NEVs and calculate the CO2 and air pollutant emission reduction. The GRA-BiLSTM model developed in this study shows optimal predictive performance. The results in

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Zhou, Chao, Dongyu Liu, Pengfei Zhou, Jie Luo, Serhat Yuksel, and Hasan Dincer. "Hybrid Predictive Decision-Making Approach to Emission Reduction Policies for Sustainable Energy Industry." Energies 13, no. 9 (2020): 2220. http://dx.doi.org/10.3390/en13092220.

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Carbon emissions are a prominent issue for sustainable energy production and management. Energy policies under the growing competitive environment could change the priorities of emission reduction and investment decisions. This paper aims to forecast carbon emissions from China and to rank the importance of carbon emissions with interval type 2 (IT2) fuzzy sets (FS) for sustainable energy investments. For this purpose, the quadratic model is applied to measuring emission trends and the Qualitative Flexible Multiple Criteria Method (QUALIFLEX) is used for measuring sustainable energy investment

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