Green transportation

The potential benefits of green travel in achieving dual-carbon goals and promoting sustainable urban development have been widely recognized. However, the various factors influencing green travel behavior in small- and medium-sized central urban areas have not been adequately explored. This study developed a theoretical model to analyze residents’ green travel decision-making, integrating the theory of planned behavior and the stimulus–organism–response model. The model was validated through qualitative and quantitative analyses, revealing key findings. (1) Residents’ green travel awareness and intentions are influenced by personal characteristics, internal psychological factors, and external environmental factors, each with varying degrees of impact. (2) Psychological demand for travel and extreme weather conditions significantly impact green travel awareness. (3) Green travel awareness positively affects actual green travel behavior, with other factors indirectly influencing behavioral intention through awareness. (4) Subjective norms and policy support directly influence green travel choices. Based on these findings, the study suggests policy recommendations to enhance residents’ green travel awareness, promoting sustainable urban development.

Green transportation is a kind of urban transportation system with low pollution and multiple urban environments. At present, the development of green transportation in China is progressing and gradually occupying a relatively important position. In order to understand the development of green transportation in China, based on the concept of green transportation, this paper analyzes the development of green transportation in Zhoushan as an example, and selects the data from three aspects: basic indicators, means of transportation and road construction in Zhoushan City. The entropy weight method is used to determine the entropy value and weight of each index, and the index evaluation system is established. In addition, the ideal solution method was used to calculate the relative closeness degree to analyze the development of green transportation in Zhoushan city from 2016 to 2018. According to the relative proximity degree calculation data, it can be shown that the calculation value of 2017 is larger than that of 2018. The results show that the development of green transportation in Zhoushan in 2017 is the best, followed by 2018. The above results help to understand the current development status of Zhoushan green transportation, further understand the existing problems and the important factors affecting the development of Zhoushan green transportation. In order to promote the development of urban green transportation in China, suggestions are put forward on the basis of the analysis of the development of Zhousan’s green transportation to promote the development of green transportation in Zhoushan from four aspects: strengthening the construction of urban road transportation system, optimizing transportation, improving the infrastructure of new energy vehicles and promoting the concept of green transportation.

The intensifying environmental concerns and global commitments to reduce carbon emissions have positioned green transportation technologies as pivotal solutions for sustainable mobility. The transition toward green transportation not only contributes to environmental preservation but also supports economic growth, public health, and energy security. This empirical study investigates the behavioural, economic, environmental, and social determinants influencing consumer adoption of green transportation solutions, such as electric vehicles (EVs) and hybrid mobility platforms. Grounded in three key theoretical frameworks—the Theory of Planned Behaviour (TPB), the Technology Adoption Model (TAM), and the Diffusion of Innovation (DOI) theory—this research seeks to assess the complex interplay between consumer attitudes, intentions, social norms, and actual adoption behaviours. Data were collected through structured questionnaires from a sample of 103 respondents across five major Indian metropolitan cities: Chennai, Bengaluru, Hyderabad, Mumbai, and Kolkata. The study employed a quantitative methodology using descriptive analysis, correlation, and multiple regression through IBM SPSS. Variables measured included economic incentives, environmental awareness, social norms and values, attitudes toward adoption, perceived behavioural control, intention to adopt, and actual adoption behaviour. The regression analysis revealed that attitude towards green transportation emerged as the only statistically significant predictor of actual adoption behaviour (p = 0.025), indicating that a favourable consumer mindset plays a pivotal role in the transition to sustainable mobility. Interestingly, economic and environmental factors—though often emphasized in public discourse—were not found to be significant drivers in isolation. Social factors showed marginal influence (p = 0.090), suggesting a cultural dimension where peer influence and social validation may shape behavioural outcomes. Additionally, the study identified a considerable gap between intention, perceived behavioural control, and actual adoption behaviour, as evidenced by paired t-test results. These findings underscore the importance of bridging the cognitive-perceptual gap to translate intention into action. The conceptual framework tested within this research offers a practical model for stakeholders, including policymakers, marketers, and transportation authorities, to design targeted interventions. Policy recommendations emerging from this study emphasize the need for consumer education campaigns, improved green transport infrastructure, and community-based marketing to enhance attitudinal shifts and trust in emerging technologies. By providing empirical insights into consumer preferences and barriers, this research contributes to the broader literature on sustainable transportation in emerging economies. It advocates for a behavioural-centric approach to green mobility that complements financial and policy mechanisms. Ultimately, fostering a culture of pro-environmental behaviour is essential for advancing India’s sustainable urban development goals.

This article studies the relationship between green transportation and urban sustainable development from the perspective of urban sustainable development, and discusses in detail the theory, design and implementation of green transportation system construction based on urban sustainable development, and believes that green transportation is a city. An important component of sustainable development plays an important role in promoting its development. In the analysis of existing research materials, it discusses how urban development should create an environment and conditions for the development of green transportation from the aspects of planning, policy, awareness, technology, management and internal and external coordination. It also proposes scientific planning of urban development and improving urban land utilisation, and other suggestions to better promote the development of urban green transportation, improve the role of green transportation in the process of urban sustainable development, and put forward corresponding countermeasures.

The increase in the number of motor vehicles in Medan City has led to traffic congestion and higher carbon emissions, contributing to worsening air pollution. According to data from the Medan Environmental Agency, carbon emissions from the transportation sector increased from 1,575 tons in 2020 to 2,154 tons in 2022. In addition, data from Kumparan Tech (2019) showed that Medan recorded an Air Quality Index (AQI) score of 78, placing it among the five cities with the highest levels of air pollution in Indonesia. To address this issue, the Medan City Government implemented green transportation through an electric-based Bus Rapid Transit (BRT) system as part of its sustainable development efforts. However, its implementation has not been optimal due to limited bus stop facilities, insufficient fleets and infrastructure, a decline in passenger numbers caused by the digital payment system, and a lack of coordination among stakeholders. This research employed a descriptive method with a qualitative approach. Data were collected through interviews, observation, and documentation. The theory used in this study is Litman’s (2015) green transportation theory, which includes the indicators of safety, environmental impact, comfort, and land use. The findings indicate that the implementation of green transportation through the Bus Rapid Transit system in Medan City has not been optimal, as facilities do not yet meet green transportation standards, public outreach remains limited, and there is no full coordination among stakeholders. This study recommends strengthening regulations, enhancing coordination among stakeholders, and improving service quality as strategic efforts to support the vision of Medan City as a green and sustainable city.

Cities have always been the loci for nationals as well as growth of cultural fusion and innovation. Over 50 % of global population dwells in cities and urban centers. This means that cities are prolific users of natural resources and generators of waste; hence they produce most of the greenhouse gases which are causing global climate change. The root cause of increase in the transport sector carbon curve is mainly the greater numbers of individually owned cars. Development in these cities is geared towards economic progress while environmental sustainability is ignored. Infrastructure projects focus on road expansion, electrification, and more parking spaces. These lead to more carbon emissions, traffic congestion, and air pollution. Recent development plans for Nairobi city are now on road expansion with little priority for electric train solutions. The Vision 2030, Kenya’s development guide, has shed some light on the city with numerous road expansion projects. This chapter seeks to realize the following objectives; (1) to assess the current transport situation of Nairobi; (2) to review green transport solutions being undertaken in the city; (3) to give an overview of alternative green transportation solutions, and (4) to provide a green transportation framework matrix. This preliminary study will utilize primary and secondary data through mainly desktop research and analysis, literature, books, magazines and on-line information. This forms the basis for formulation of approaches for incorporation into the green transportation framework matrix of the main study report. The main goal is the achievement of a practical green transportation system for implementation by the City County of Nairobi to reduce carbon emissions and congestion and promote environmental sustainability.

ABSTRACT
 
 SALVINA. Analysis of Satisfaction against Green Transportation. Supervised by AKBAR RIZKI and INDAHWATI.
 
 One of the stages of the Green Campus 2020 program as an effort of IPB towards World Class University (WCU) is to carry out the Green Transportation (GT) movement. Buses, electric cars, bicycles and electric motorcycle taxis are the GT transportation modes in IPB. The purpose of this study was to determine the level of satisfaction of GT users and identify attributes that are important and need to be improved so that the GT service system can be improved. This study uses survey data conducted by researchers on undergraduate students who use GT transportation mode in the past week. The sampling method used is random layered sampling with layers in the form of faculties. The analytical methods used are Importance Performance Analysis (IPA), Customer Satisfaction Index (CSI), biplot analysis, and simple correspondence analysis. The CSI value obtained is 2.96 (1-4 scale) with a CSI percentage of 74% in other words the user is satisfied with the service he receives. The aspects that need to be improved are aspects of empathy and reliability on electric cars and assurance on bicycles, while other aspects have been considered good. Biplot analysis shows the diversity of satisfaction obtained from aspects (reliability, empathy, tangibles, assurance, and responsiveness) is the same. Simple correspondence analysis shows students of the Faculty of Veterinary Medicine (FKH), Faculty of Animal Husbandry (FAPET), Faculty of Forestry (FAHUTAN), and General Competency Education Program (PPKU) often use electric cars. Faculties that often use buses are Faculty of Agriculture (FAPERTA), Faculty of Agricultural Technology (FATETA), Faculty of Fisheries and Marine Sciences (FPIK) and Faculty of Mathematics and Natural Sciences (FMIPA). The mode of bicycle transportation cannot be characterized in any faculty because at least the respondents use it.
 
 Keywords: biplot, green transportation, IPA-CSI, simple correspondence
 

Due to our lifestyle and way of using energy, especially in transportation systems, increase in green house emissions has become a threatening reality at present time and its impacts will be worse in the near future. Green transportation system aims to maintain a pollution free environment with lesser emissions and less impact on human health and on the natural environment. An eco-efficient transportation system means improving environmental quality, efficiency, and profitability by reducing unnecessary inputs and outputs in production and operation processes of transportation system. According to World Business Council on Sustainable Development, eco-efficiency is being achieved by the delivery of competitively priced goods and services that satisfy human needs and bring quality of life, while progressively reducing ecological impacts and resources intensity throughout the life cycle, to a level at least in line with the Earth’s estimated carrying capacity. Eco-efficiency is a bridge between economy and the environment and is about increasing resource productivity and decreasing environmental pressure. Green transportation depends heavily on the energy linked to vehicle movements. Energy efficiency is affected by vehicle design, road infrastructure and operations. Every one of these factors should be reviewed from eco-efficiency perspective and environmental issues should become a prominent element in green transportation strategies, operations and technologies. Article will end with some recommendations towards green transportation, which is more eco- efficient option.

This article constructs an environmental logistics performance index (ELPI) for assessing the overall performance in green transportation and logistics practices of 112 countries. The index is measured by logistics performance index (LPI), CO2 emissions and oil consumption from the transport sector, using a range-adjusted measure (RAM) of the data envelopment analysis (DEA). ELPI effectively reflects the tradeoff between logistics efficiency and environmental protection in transportation. This article analyzes the impact of income and region on ELPI scores and discusses those countries’ reduction potential in oil consumption intensity and carbon intensity. The main finding of the research work is that ELPI is strongly correlated with LPI, and countries with high performance in LPI generally perform well in ELPI. Similar to the characteristics of LPI, ELPI is also closely related to income and region. During our study period, high income countries performed best, while Sub-Saharan Africa countries performed worst. However, some exceptions such as Venezuela, RB and Benin, indicate that the level of development of logistics performance and green transportation can outperform or lag behind their income or region group peers.

To understand the mechanism underlying consumers’ intentions for engagement in environmentally equipped peer-to-peer accommodations (green P2P accommodations), this study develops a rigorous framework incorporating three compelling theories (i.e. goal framing theory, theory of reasoned action, and focus theory of normative conduct). The results demonstrate how green consumption motives, social descriptive and injunctive norms, attitude toward green traveling, and behavioral intentions toward green P2P accommodations are significantly related. Moreover, the results reveal the generation differences in attitude formation toward green traveling. This study offers practical insights for the P2P accommodations that attempt to sustainably operate their businesses.

This study analyzes urban development and green transportation design for Taipei and Kaohsiung, Taiwan. Traffic usage characteristics are analyzed, the public bike development experience of the two cities is compared, and, finally, a reference for other cities to develop green transportation is proposed.

It is great significance to improve green transportation standards system for promoting the construction of ecological civilization and the sustainable development of recycling and low carbon of transportation. This paper summarizes the status of green transportation standards system and the progress of standard publication and revision. According to the key areas and links of green transportation development, the development trends of green transportation and the requirement of green transportation standards were analysed, and policy recommendations for improving the construction of green transportation standards system was proposed. The paper is trying to provide decisive support for the industry to promote the development of green transportation standardization.

Launching the evaluation research of green transportation can grasp the green transportation implementation accurately and diagnose the existing problems. From the perspective of green transportation, this research chose Dongguan “motorcycle ban” policy as the research object, and constructed secondary evaluation index system in transportation and environmental harmony, transportation and future harmony, transportation and society harmony, transportation and resource harmony, four dimensions. Then it used fuzzy comprehensive evaluation model to do the evaluation and found that the policy’s positive effect on the Dongguan green transportation development was average. Finally, based on the evaluation results, measures and advices were proposed.

Arranging the parking area by planning the need for vertical parking spaces based on green transportation can be done to increase the UI Greenmentric score at Politeknik Negeri Medan, making the campus environmentally friendly. Therefore, the need for parking spaces is calculated. The planning of vertical parking spaces is based on parking population survey data conducted directly in the field as well as secondary data from previous research. From the calculations, the current need for motorcycle parking space at Politeknik Negeri Medan is 699 SRP, which will increase to 1,003.641 SRP in the next 10 years. Since only 800 SRP are available at the planned location, a multi-level motorcycle parking facility is being planned. Thus the existing parking area can be reduced by 4-7% with a score of 100 or 50% of the maximum value of indicator TR5. This figure increases from the calculation in the existing condition, which is 7-11% with a score of 50, representing 25% of the maximum value of the TR5 indicator. Keywords: Pedestrian, Parking Space, Green Transportation

Transit-oriented development (TOD) is a major planning tool to promote green transport mode share. There are many previous studies in this field but with very diverse research focuses and outcomes. This study has classified the research purposes of previous studies into four categories: exploratory; potential and challenges; performance evaluation; and in-depth investigation. To identify critical factors that might influence green transport systems, a systematic literature review is delivered via a meta-analysis. Specifically, green transport mode share was set as the dependent variable and a proxy for TOD outcomes. From the model results, several key factors are identified. For example, built environment planning (e.g., pedestrian sidewalks) plays a critical role in green transport systems. The main findings of this paper can provide clear direction to current TOD, such as how to improve TOD outcomes and providing planning guidance for potential TOD.