This study compares emissions from Euro VI-D Diesel and CNG buses across temperatures from -7 °C to 35 °C. Pollutants including NOx, THC, CH4, CO, NH3, N2O, HCHO, Solid Particle Number larger than 23 nm (SPN23) and larger than 10 nm (SPN10) were measured. Both buses complied with Euro VI-D but exceeded European Commission's proposed Euro 7 limits, notably for NOx and SPN10. The CNG bus also surpassed

The rapid expansion of electric bike-sharing (EBS) induces temporal and spatial supply–demand imbalances. In response to this challenge, this study uses 2022 order data from Kunming, China, to investigate the usage efficiency of EBS. The non-operating rate, representing the ratio of free time to usage time, is calculated hourly per grid over 31 days. By integrating the Geographically and Temporally

This study compares the equality and equity of four shared micromobility models, including station-based bikesharing, hybrid e-bike sharing, hybrid e-scooter sharing, and dockless e-scooter sharing, with a case study in Minneapolis, Minnesota. Equality assessment is made using Lorenz curves and Gini coefficients, which reveals that hybrid and dockless models are relatively more equal than the station-based

Electric mobility hubs (eHUBS) are locations where multiple shared electric modes including electric cars and e-bikes are available. To assess their potential to reduce private car use, it is important to investigate to what extent people would switch to eHUBS modes after their introduction. Moreover, people may adapt their behaviour differently depending on their current travel mode. This study is

This research investigates tourists’ urban travel mode choices in prominent Chinese tourist cities using latent class nested logit modelling. It identifies Comfort-Driven and Economy-Driven market segments, each exhibiting unique preferences towards transport-related factors as measured by elasticity and willingness-to-pay. Travel cost, walking time, waiting time, transfer time, crowdedness, and parking

The environmental impact of battery electric vehicles (BEVs), which are an integral part of climate change mitigation measures, depends on charging strategies, such as uncontrolled charging, controlled charging (V1G), and discharging (V2G). However, the impact is unclear because power system operation involves the cost of carbon dioxide (CO) emissions and flexibility requirements for imbalances caused

The maritime industry is shifting toward sustainability to help combat climate change, given the sector’s significant contribution to global greenhouse gas emissions. This study focuses on the strategic integration of hydrogen fuel—a zero-emission alternative—into inland waterway transport systems. We recognize the operational characteristics of inland shipping networks and the complexities of two-stage

This study investigates nonlinear associations between built environment (BE) attributes and commuting mode share within rail and bus rapid transit (BRT) catchment areas. Data from approximately 2,790 fixed guideway transit station areas across 34 metropolitan statistical areas in the United States were analyzed using a random forest approach. Results show nonlinear associations of the BE with mode

The ongoing placement of EV charging in the U.S. is the result of a complicated interplay between market actors and the public sector. The federal government has recently established a charging equity goal based on the “Justice 40” framework that will allocate 40% of new infrastructure benefits to traditionally disadvantaged communities. Mirroring this sufficientarian equity perspective, our analysis

Promoting well-being and contentment among daily commuters is pivotal for sustainable and thriving societies. This study investigates the reciprocal link between commuting satisfaction, overall life contentment, and personality traits, focusing on the unique and eco-friendly mode of boat commuting in particular. Using a combination of subjective survey data and objective physiological measures (resting

The goal of this study is to provide insights into the expected role of medium-duty electric vehicles (EVs) in urban delivery fleets and to analyze the effectiveness of EV subsidies on EV fleet penetration and tailpipe emissions. To meet this goal, we propose a modeling framework that determines the minimum-cost fleet size and fleet mix (of EVs and conventional vehicles) and vehicle routes for a profit-maximizing

This study investigates the feasibility of long-haul electric truck (e-truck) adoption as a competitive alternative to diesel trucks from a truck carrier’s point of view, which can shed light on policy to boost e-truck adoption for policy makers. Specifically, we propose a total operating cost optimization model called an e-truck routing and driver scheduling problem with coordinated charging schedule

Commute time is an important determinant of commute satisfaction. However, commuters may perceive the same length of commute differently and adopt different standards (reference points) to evaluate their commute time. This paper explores the effects of commute time discrepancies relative to four reference points on commute satisfaction based on a survey in Guangzhou, China. The reference points include

Reliable assessment of the resilience of transportation networks to natural disasters is a prominent issue. This paper investigates how the spatial feature of natural disasters affects the resilience of transportation networks. Our research reveals that incorporating spatial feature data on disaster impacts is highly important for assessing network resilience. More precisely, the uncertainty linked

This study assesses electric vehicle (EV) market resilience and explores its underlying contributors. We develop a set of indices to measure the resistance, recoverability, and comprehensive resilience of the EV market. A four-dimensional conceptual framework, encompassing market foundation, industrial foundation, policy support and usage environment, is proposed to investigate the potential contributors

The assessment of urban transport interventions is complex, multi-faceted, and context-dependent. This study proposes a multi-methodology approach called to evaluate the potential impact of the implementation of temporary bike paths during the COVID-19 pandemic on Bogotá’s bicycle complex system. The proposed methodology applies systems theory to identify the complexity, barriers, and facilitators

This study aims to understand the difference in operational performance between electric, hybrid, and diesel buses in Portland, OR. We estimated a running time model, and a distance until a breakdown occurs model using ordinary least squares and multilevel regression frameworks. The results of the running time model suggest that electric buses are faster than diesel buses while controlling for all

The development of precise vehicle emission models is crucial for estimating vehicular exhaust emissions. Though measuring emissions using an on-board emissions measurement system can be promising, it is essential to improve the precision of emission rates (ERs) prediction through effective statistical methods. A novel framework of simple linear regression (SLR), support vector regression (SVR), and

This study proposes an integrated theoretical framework to comprehensively examine the satisfaction and subjective well-being of ridesourcing travelers. A total of 1370 survey responses from China were empirically examined, using partial least squares structural equation modeling and multigroup comparison methods. The findings show that platform safety, driver competence, car comfort, environmental

Transportation electrification is a promising emerging technology for mitigating the impacts of climate change. However, it provides more challenges to mobility management during disruptive events. Extensive research has been conducted to describe the consequences of transportation electrification and disruptive events, each in silos. A pivotal question nowadays is, . Thus, this study aims to critically

[Display omitted]

The international shipping industry has prioritized emissions reduction and invested in green shipping technologies. Shipping alliances have also significantly transformed market structure of container shipping industry, resulting in increased market power for major alliances in recent years. These strategic alliances have substantial implications for the economic incentives to invest in green shipping

This study investigates the psychological factors influencing the willingness to pay extra for an electric car equipped with a battery certified as sustainably produced after watching a short video introducing the Sustainable Development Goals (SDGs). Based on a questionnaire and a thought experiment carried out in Norway, we explore the effect of sustainability labels covering general sustainability

Mitigation of greenhouse gas emissions has emerged as a crucial challenge for the passenger transport system. We introduce an inter- and transdisciplinary scheme for the development and assessment of socially and politically feasible transport policy packages to achieve net-zero transport emissions and illustrate the scheme via application to the EU member state of Austria. We find mutual disciplinary

The increasing vehicle technologies and fuels available for urban passenger transportation urge decision-makers to support dynamic policies that consider life-cycle impacts to benefit local and global environmental conditions. This study uses a Well-to-Wheels Life Cycle Assessment approach to assess the costs and impacts of various vehicle technologies in Bogotá, Colombia, considering the total ownership

Few studies have examined the effects of transit allowance, both individually and in conjunction with the built environment, on people’s choice of transit for commuting in developing countries. Applying gradient boosting decision trees to the 2020 regional household travel data in Wuhan, this study sheds light on the issue. Among employment-based transportation allowance measures, built environment

Port congestion and air emissions in ports are two major issues affecting the maritime industry. However, there is little research that investigates how port congestions affect ship emissions near large city ports. In our study, we estimate the change in daily ship emissions of four major Chinese ports from 2020 to 2022 and apply time series models to measure the lagged effects of port congestion on

Electrifying taxi fleets represents a significant step towards a sustainable urban transportation system. However, there is a current gap in our comprehensive understanding of the day-to-day operations of electric taxi services. In this study, we utilize operational data from electric taxi fleets in Shenzhen, employing a two-stage approach to analyze the daily charging, cruising, and serving activities

While numerous studies have demonstrated the effects of density and diversity on metro ridership, few studies have explored the long-term mechanisms of these effects. Employing smartcard data and multisource big data from Wuhan between 2015 and 2019, this study applied the panel threshold model to explore the long-term threshold effects of station area density and diversity on metro station-to-station

Travel plays an indispensable role in daily life with regard to both individual health and subjective happiness. Using real-time environmental exposures and questionnaire survey data collected in Beijing, we apply the gradient boosting decision tree (GBDT) and Shapley value machine learning methods to investigate the nonlinear relationship between microenvironmental exposure and travel satisfaction

Battery electric trucks (BETs) can dramatically reduce tail-pipe emissions from heavy-duty vehicles. However, their limited range necessitates frequent charging. Megawatt charging has been discussed as requirement and potential barrier for fast BET market diffusion. Here, we simulate all daily trips of 2,410 trucks in Germany as BETs with lowest charging power required. Assuming 450 – 700 km (2030

Environmental justice – the concept that environmental amenities and burdens should be shared equitably among all races and socioeconomic classes – has gained diplomatic traction internationally, and political traction domestically in the United States, in recent years. In this paper, we focus on developing federal policy relevant to transportation project planning and operation in the U.S.; however

Steady growth in global greenhouse gas emissions from transport is driven by growing demand for car travel. A sizable body of research investigates influences of urban form on travel behavior, but few European studies illustrate variation of these influences across multiple cities and countries using disaggregated data. Here, we compare car ownership and mobility patterns, and we use gradient boosting

Residential self-selection (RSS) confounds the connection between the built environment and travel behavior. Existing studies have used endogenous switching regression models to quantify the proportions of the built environment itself and RSS in the observed behavioral difference between different environments. However, the models are sensitive to model specification and assume pre-defined (mostly

Aiming to obtain a parallel recovery strategy for the interdependent transportation-healthcare system (ITHS) after the earthquake, this study proposes a framework for the resilience assessment and enhancement of ITHS integrating functionality loss (FL), total recovery time (TRT) and resilience (R). A novel metric from the spatial accessibility measurement can effectively quantify the interdependence

This study comprehensively analyzed the impact of transportation policy tools on the Korean road transport system, economy, and environment. To facilitate this analysis, we devised a national integrated computable general equilibrium model, encompassing vehicle dynamics and choice mechanisms. We assessed six policy scenarios, along with three policy mix scenarios. Our findings demonstrate the effectiveness

The frequent occurrence of natural disasters and operational incidents poses a significant threat to urban rail transit (URT) systems. Therefore, it is crucial to design a resilient URT network that can offer commuters convenient and reliable services. In this study, we construct a URT life-cycle resilience assessment model oriented towards passenger travel service. This proposed methodology is applied

The used EV market is growing as more EVs penetrate the market. To examine who is purchasing used EVs and what concerns they may have, we deployed a survey focused on owners of used EVs. Data was collected online via posting the survey to used-EV-related Facebook and Reddit communities. The survey was deployed from September to October 2022, and a total of 1,669 participants responded, of which 1,167

To further improve the emission reduction effect on asphalt smoke and mitigate environmental pollution, a novel emission reduction agent (TBD) combined with physical adsorption and chemical degradation was synthesized with tourmaline, biochar, and diatomite. The testing and evaluation method for the emission reduction efficacy of TBD has been established. The optimal preparation method and parameter

Large amount of CO2 is generated from numerous production chains, which exists between the final demand of transportation and the intermediate demand of each production sector. Certain key sectors and production chains bear a greater responsibility for reducing these CO2 emissions. To explore this problem, this study investigates China’s transportation CO2 emissions based on the multi-layered structural

The COVID-19 outbreak has accelerated the usage of online platforms for grocery shopping, resulting in lasting changes in shopping behaviour. Even as the severity of the pandemic subsides, online grocery shopping continues to grow. We used structural equation modelling (SEM) and surveyed 1650 households in Nagpur city (India) to understand these changes. Results show increased online grocery shopping

Long-distance mobility sustainability, high-speed railways (HSR) decarbonization effect, and bans for short-haul flights are debated in Europe. Yet, holistic environmental assessments on these topics are scarce. A comparative life cycle assessment (LCA) was conducted on the Paris-Bordeaux transportation options in France: HSR, plane, coach, personal car, and carpooling. The overall ranking on four

Air pollution threatens worldwide human health, ecosystems, and climate change. Transportation is a major contributor to air pollution. However, the link between transportation and air pollution is intricate and influenced by multiple elements. This study employs spatiotemporal causal convolutional networks to predict air pollutants by utilizing traffic and meteorological data as inputs. Using Seoul

Carsharing is an integral part of the transformation toward flexible and sustainable mobility. New carsharing programs are entering the market to challenge large operators by offering innovative services. This study investigates the use of generative machine learning models for creating synthetic data to support carsharing decision–making when data access is limited. To this end, it explores the evaluation

Transit-oriented development (TOD) aims to create pedestrian-friendly neighborhoods around transit hubs to improve urban mobility. However, it often overlooks the specific transportation needs of people with limited mobility. This study adopts Sen’s capabilities approach (CA) and the concept of conversion factors to analyze how ordinary pedestrians, the elderly, and wheelchair users transform planned

As global aging accelerates, serving an aging society through transport development is essential. However, the impact of transport inclusion on active aging remains unclear, especially regarding travel satisfaction and capabilities. The present work establishes a relationship model between transport inclusion perceived value (TIPV) and active aging (AA) that accounts for travel satisfaction (S) and

The global shift toward electric vehicles (EVs) for climate sustainability lacks comprehensive insights into the impact of the built environment on EV ownership, especially in varying spatial contexts. This study, focusing on New York State, integrates data fusion techniques across diverse datasets to examine the influence of socioeconomic and built environmental factors on EV ownership. The utilization

Ride-hailing enjoys global popularity as a door-to-door mobility service, but its pick-up and drop-off inefficiencies and resulting environmental costs are often overlooked. This research examines the potential efficiency and environmental benefits of a flexible pick-up and drop-off (PUDO) strategy, which seeks to improve the routing efficiency by shifting the PUDO locations within short walking distance

Climate change impacts such as extreme temperatures, snow and ice, flooding, and sea level rise posed significant threats to railway infrastructure networks. One of the important questions that infrastructure managers need to answer is, “How will maintenance costs be affected due to climate change in different climate change scenarios?” This paper proposes an approach to estimate the implication of

Electrification of the transportation sector has grown substantially over recent years, though much remains unclear regarding the continued trajectory of electric vehicle (EV) adoption and its influencing factors. The impacts of charging infrastructure and the geographic heterogeneity of adopter characteristics are two facets not fully understood. This work investigates EV adoption at a granular geographic

Poor charging etiquette of Plug-in Electric vehicle (PEV) drivers, such as unplugging other PEVs and overstaying after the PEV is fully charged, will create a service bottleneck to charging resources and even impede PEV penetration. To explore the underlying linkage between PEV drivers’ interim activities and the behavior of overstaying, this study introduces an innovative framework that implements

The examination of the robustness of transportation networks holds considerable importance in safeguarding network stability in the face of potential threats. However, previous studies have primarily focused on assessing the robustness of individual railway or aviation networks at a single layer for a long-distance traveling. Indeed, the demonstration of the interconnected robustness of a bilayer network

Freight transport decarbonization is challenging due to the slow implementation of policies to meet climate goals. This paper analyzes the dynamics of the implementation of freight decarbonization measures. A System Dynamics model was developed and applied to the Brazilian freight system to simulate the use of more sustainable modes and means of transport, including electrification, increased use of

To develop effective climate strategies, it is necessary to model the long-term impacts of combined policy measures. This study examines how an increase in working-from-home (WFH) practices, coupled with higher private car fleet penetration of electric vehicles (EVs), could change commuting patterns and associated emissions. Simulations for the Dublin Region show that if half of white-collar workers

Battery electric (BE-HDT) and fuel cell heavy-duty trucks (FC-HDT) as niche products have the potential to decarbonize road freight transportation, but widespread introduction is challenging. Scientific research on this transition remains scarce, and studies including hydrogen are very limited. Successful changes in long-established regimes require multiple processes, and therefore, the multi-level

To explore the cumulative ecological effects of roads in ecologically fragile areas, the Integrated Valuation of Ecosystem Services and Trade-offs (InVEST) tool was applied to assess the spatiotemporal changes in habitat quality, water yield, and soil erosion in road-effect zones of the Western Sichuan Plateau, China. Then, generalized estimating equations were formulated to analyze the impact of synergies

The current static assessment methods for road traffic noise exposure have limitations in representing spatiotemporal variations and only account for the noise exposure of registered residents. To address these issues, this study proposes an assessment method by fusing spatiotemporal noise and population distributions. This approach estimates spatiotemporal noise distributions through real-time noise