In just the last three years, since 2020, manufacturing plans for producing electric vehicles (EV) and batteries have surged. We relate them to four EV sales scenarios towards 2035 in the UC Davis Transportation Transition Model, with different EV shares of total light-duty vehicle sales. In each scenario, we estimate production capacities and investments needed. By comparing announced capacities to

We report findings from a real-world pilot study exploring a novel pricing and control mechanism to coordinate residential EV charging loads. The proposed pricing mechanism presents EV owners with a “menu of deadlines” that offers lower electricity prices the longer they are willing to delay their charging completion times. Given customers’ reported charging preferences, a smart charging system dynamically

Battery electric bus’s (BEB) limited operating range and lengthy charging duration are a cause of concern to BEB operators. Fast-charging technology can decrease charging time and battery size while increasing the daily driving range of BEBs, but it will increase the cost of electricity. We first propose a deterministic optimization framework to assist BEB operators in choosing an optimal set of decisions

The future of privately owned, fully automated vehicles (AVs) is highly uncertain, especially the impacts to greenhouse gas (GHG) emissions. We simulate the impacts of climate policy on AV uptake in Canada’s light-duty vehicle sector and the corresponding GHG emissions, including changes to efficiency, vehicle kilometre travelled (VKT), and zero-emissions vehicle (ZEV) sales. We use a technology adoption

Car sharing is often associated with the pooling of private mobility demand. Additional pooling effects by integrating private and corporate mobility demand in one car sharing system have not yet been addressed in research. Against this background, we present a mathematical optimization model to identify pooling effects in terms of fleet size reduction in such integrated systems. Herein, the model

A recent study on alternative road materials concluded that the cost associated with noise-related health impacts would favour one type of material. In the analysis, the noise of road and vehicles was allocated fully to the road. If we would only allocate a part to the road and the rest to the vehicles, an opposite conclusion could be drawn. We therefore argue for a closer study of this allocation

This study examines the extent to which public transit contributes to the spatial mismatch between low-income households and the gap between low- and high-wage employment and searches for social inequity in the transit-related spatial mismatch across the 50 most populated American metropolitan areas. Wage Gap (WG) and Transit Access Wage Gap (TAWG) measures are proposed to calculate the disparity between

This study focuses on the effect of road slope on driving cycle parameters of urban driving. A driving cycle (DC) is a series of data points that capture a vehicle’s speed versus time and is a crucial factor for evaluating vehicular emission. In this study, vehicles were driven on Prishtina’s urban roads with different slopes. The driving cycles for each grade class were developed using approximately

Charging station planning is critical in the implementation of public transport electrification. However, in cities, there is insufficient experience and knowledge of the factors that influence the utilization of charging stations, particularly charging stations aimed at serving a fleet of electric taxis. Shenzhen is one of the pioneers in promoting electric taxis. In this paper, we collect large-scale

This study investigates which policy measures are able to motivate citizens in rural and semi-rural areas of Lower Austria to use active transport modes for everyday trips. A representative sample was asked to evaluate six walking- and eight cycling-oriented policy measures. We find that the revitalization of village/town centers and infrastructural measures are considered most motivating, and soft

Fleets of electric vehicles will likely shift electricity demand, and the effect of upstream charging emissions will come from generation sources that are dispatched in response. This study proposes a multi-stage charging and discharging problem to translate low-cost energy transactions into vehicle dispatch decisions. A day-ahead charging optimization problem minimizes electricity purchases and marginal

In this work, the noise impact of delivery drones in an urban community is assessed based on a flight simulation and noise assessment platform. The tonal and broadband noise components are considered using analytical and semi-analytical prediction methods. The noise propagation in the urban environment is computed using an efficient Gaussian beam tracing method. The influence of flight speeds, payloads

The American Association of State Highway and Transportation Officials (AASHTO) issues guidance for highway agencies to maintain clear zones adjacent to the roadbed, free of trees, to reduce the severity of run-off-the-road crashes. Some departments of transportation (DOTs) are clearing trees beyond the standard clear zone for road safety, creating friction between units of different disciplines. Following

Emerging mobility services, such as ridehailing and shared autonomous vehicles, provide the transportation sector with new tools to improve system efficiency and mitigate costs to the environment. However, recent history has shown that these same technologies can have reverse effects if they are not strategically deployed and intelligently managed. This study identifies one important component of the

In this study, we investigate the impact on shipping emissions from improving operational efficiency in a maritime chokepoint such as a canal. We consider several scheduling proposals that allow for different levels of speed reduction for incoming vessels and estimate the resulting emission reduction compared to a benchmark established from ship position data. For our case study of the Panama Canal

Timely and reliable accident detection provides a foundation for traffic accident management (TIM), which is critical functionality for traffic management agencies. Effective TIM strategies mitigate negative impacts caused by non-recurrent events, improve quality of service and traveler satisfaction, and enhance transportation resilience. Most existing studies focus on traffic accident detection and

Designing bike-friendly cities could promote health and mitigate climate change. Most studies of the association between the built environment and cycling used the “5Ds” framework and linear modeling. However, the built environment exerts complex influences on travel behavior. To better inform urban design for cycling, this study employed geographical detector models that quantify the explanatory power

Fuel consumption of vehicles at signalized intersections is directly impacted by congestion. Accurately characterizing fuel consumption at signalized intersections gives additional insights into how signal timing strategies and intelligent transportation systems impact traffic. Cost effective sensing technologies in vehicles have introduced new ways to collect vehicular trajectories ubiquitously, which

The introduction of dock-less e-bike-share service can reduce vehicle miles traveled (VMT) and related greenhouse emissions if it substitutes for car travel. We develop a framework for estimating vehicle miles reduced from the introduction of bike-share service. We apply this framework for the Sacramento, CA region using system-level data on dock-less e-bike-share trips and individual-level data collected

Understanding the impacts of ridesourcing on various transport externalities is an active research area. However, research on relatively long-term impacts such as vehicle ownership is limited and mostly focused on certain geographies. This is the first study that empirically examines the impacts of ridesourcing on vehicle ownership in Great Britain. We used vehicle licensing data for local authority

High upfront costs of vehicles and charging infrastructure as well as the lack of knowledge related to infrastructure planning and electric bus system operation are major obstacles to the implementation of battery electric buses (BEBs). To tackle the obstacles and promote BEB adoption, a comprehensive optimization framework was developed to address the combined charging infrastructure planning, vehicle

With the increasing severity of global warming, “low-carbon” development is being vigorously promoted. As the largest energy consumer in the transportation industry, road transportation must focus on energy saving and emission reduction. The traditional life cycle assessment (LCA) method conducts pavement environmental impact assessments with limited consideration of dynamic aspects in the time dimension

Using ammonia as an alternative marine fuel has been gaining interest in reducing greenhouse gas emissions in the maritime sector. This paper describes the development of a discrete event simulation model for bunker supply chain, emphasising how ammonia bunkering affects the operational and economic performance of the system. The results show that the model is a useful tool for ammonia bunker supply

Light-duty logistics trucks play an important role in transporting and dispatching goods in urban and suburban regions. Their powertrain electrification can reduce air pollution and carbon dioxide emissions with different levels of investment. This study examines six electrified powertrain solutions with identical yearly mileage for these trucks, considering the lifecycle carbon dioxide emissions and

The recent advancements toward fast charging technology enable electric buses to be re-charged at bus stops during passengers’ boarding and alighting times. The costs of en-route charging can be substantially reduced through facility sharing among buses from multiple lines, which may, however, result in charging conflicts. This study investigates the charging infrastructure planning and scheduling

This study analyzed the environment-economic performance of diesel, hybrid electric, and plug-in hybrid electric trucks with different hybridization factors and battery capacities by comparing the carbon dioxide emissions of the well-to-wheel stage and total cost of ownership from 2020 to 2040. Data were collected through literature research, field investigations, and prototype analysis of popular

Many railway tracks have been electrified, thus eliminating exhaust emissions. However, railways still emit particles due to abrasion and wear. The main such particle sources are brakes, wheel-rail contact, and pantographs and contact wire. However, information on the quantities of such particles is rare. Estimations in published data are quite heterogeneous, with PM10 emission levels varying by a

In this paper, a hybrid life cycle sustainability assessment (LCSA) model integrating multi region input–output analysis with novel multi-criteria decision-making techniques is proposed to assess three different fuel alternatives: compressed natural gas (CNG), electric buses (EBs), and diesel buses (DBs). A global hybrid LCSA model first quantified the environmental, economic, and social impacts of

The expected electrification of Sub-Sahara Africa’s urban paratransit with an electric minibus taxi (eMBT) has received increased attention in energy research and expenditure analyses. In this paper, several long-distance routes between the Western Cape and the Eastern Cape in South Africa are assessed for electrification. To mitigate the long charging time of eMBTs, we propose a battery swapping approach

The use of electric buses (EBs) can help reduce vehicle emissions and improve our environment. However, it brings new challenges in transit operations due to the limited driving range of EBs. This study proposes a new mathematical programming model for optimizing the single-line EB vehicle scheduling by considering the use of a skip-stop operation strategy. The objective of the model is to minimize

The international aviation community has agreed to advance actions to reduce CO2 emissions. Adopting more fuel-efficient routes will achieve this goal quickly and economically. Full satellite coverage of transatlantic flight routes is now a reality, allowing us to consider moving from the Organised Track Structure to Trajectory-Based Operations. Here, fuel-optimal trajectories through wind fields from

Low-income households may resort to cycling and walking to alleviate travel costs. Using data from the 2001, 2009, and 2017 National Household Travel Surveys, this study examines the spatiotemporal differences in the use of active travel among three socioeconomic groups classified based on household income and vehicle ownership. After controlling for a number of observed and unobserved factors, we

While battery electric buses (BEBs) can lead to energy savings and reduced emissions, BEB adoption is developing slowly. Although BEBs offer quieter operations, better acceleration, and no smell of diesel or gas fumes, little focus has been placed on the user’s perspective. This study investigates bus riders’ preferences toward BEBs. To achieve these objectives, a survey was designed and administered

This paper aims to analyze overall economic and environmental performances of alternative bus powertrains by focusing on U.S. active fleets in different urban contexts. We define a life cycle cost model related to bus technologies by referring to real-world data of 256 transport operators, which provide more than 80% of total vehicle revenue miles produced by urban transit mode across the U.S. in 2019

Although the built environment–travel connection has been extensively examined in urban settings, evidence from rural and small towns is still scarce. This paper addresses this gap by exploring the influence of the built environment on travel mode choice using national-level survey data from 119 rural towns throughout China. The results show that rural built environment variables significantly influence

The demand balance for dockless bike-sharing systems (DBS) has become an important concern for governments and operators. Due to its lack of fixed sites, DBS is significant heterogeneity. Existing studies pay little attention to the impact of cycling environments on DBS heterogeneity. This study applies the random forest algorithm and a cluster-based approach to quantify the effects of cycling environments

We study the optimal combination of short and long-lived options for reducing greenhouse gas emissions, using electrification of the car fleet as an example. A transition to electric vehicles (EVs) can be incentivized by subsidies on purchases of EVs or on fast chargers. Subsidizing purchases only leads to emissions reductions in the next few years (short-lived static option), whereas investment in

Emissions from real-world driving are often higher than estimated emission levels based on Euro emissions standards and type-approval tests. Consequently, the air quality in cities has not improved as originally anticipated from fleet renewal and stringent emission regulations for newer vehicles. This paper presents the real-world emission factors (EFs) for in-use cars, taxis, vans, and buses obtained

This study evaluates if and to what extent shared e-scooters can enhance public transit and reduce driving. Survey results from Washington D.C. and Los Angeles confirm that many have used shared e-scooters to connect with transit and to replace car trips. Mode choice models further suggest that males, non-Whites, and people without a college degree are more inclined to use shared e-scooters. The stated

Automotive electrification is a vital component of the carbon-neutrality agenda. To counter the influence of shrinking public incentives for purchasing electric vehicles (EVs), it is crucial to deepen the understanding of the existing users’ use cases and clear the barriers for potential EV owners in daily usage. To this end, our study analyzes an 11-month usage data from a large sample of EVs, including

This paper aims at studying the status of the current fleet of freight vehicles that travel through Uruguay, following international methodologies for calculating GHG gas emissions to determine the current inventory of gases caused by road freight transport. This inventory acts as a starting point to establish three future scenarios where different alternative powertrain technologies are implemented

Road freight transportation is and will become increasingly important in all distribution chains. However, little research has analysed actual logistics service provider (LSP) data on a transport service level to determine fuel use and emissions in real-world scenarios. Subsequently, this article analyses 147 long-distance trips during which nearly 200 000 km were travelled, 3 693 tonnes of cargo were

Low-income communities and communities of color have been historically oppressed within transportation planning, including planning for active transportation (AT) which they use at high rates. Emerging mobility data enabled by smartphone technology and shared mobility services has been suggested as a potential solution to increase representation of these groups, although some of these data sources

Current research on battery swapping stations (BSSs) deployment problems overlooks the influence of BSS layouts on the daily performance of battery swapping taxis (BSTs). This study aims to propose a BSS deployment optimization model to guarantee taxi transport capacity. To this end, the dynamic swapping demands of BSTs are predicted by modeling battery swapping behavior, reconstructing trip chain

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Sweden has set itself aspirational climate goals to reduce its fossil fuel dependence, and has the ambition of being a global climate transition leader. These goals have proven difficult to achieve in the transport system. In this paper we describe the development since 2016 of a broad and heterogeneous discourse coalition in favour of more strategic governance in Swedish transport planning, encompassing

Diesel heavy-duty drayage trucks (HDDTs) serving the Ports of Los Angeles and Long Beach in Southern California are large contributors to regional air pollution, but cost remains an obstacle to replacing them with zero-emission HDDTs. To quantify the health and equity impacts of operating diesel HDDTs, we built a microscopic simulation model of a regional freeway network and quantified their emissions

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Railway alignment optimization should consider multiple environmental factors. Especially considering the changing climate, low-carbon design is crucial in alignment development. However, there is no reported study on alignment optimization considering life-cycle carbon emissions. To solve this problem, a model is proposed: (1) At the construction stage, carbon emissions generated by building material

Dynamic models are routinely used in the development of sustainable transportation systems. Yet, policymakers question the reliability of the estimates they produce. More holistic models that include a dynamic well-to-wheel system perspective, built-in sensitivity tests, and ask ‘what if’ policy questions can potentially improve the robustness of the estimates. Accordingly, we develop a system dynamics

In an effort to reduce the impact of vehicular emissions on air quality, India has set Bharat Stage (BS) emission standards since 2000 and the country has now shifted to BS-VI norms from April 2020 onwards. In the present work, the impacts of different stages of BS emission standards in controlling the pollutant emissions are analyzed. The results show that the CO, NMVOC, OC and BC emissions have reduced

This research conducts a comprehensive review on the social impacts of Cooperative Automated Driving (CAD), including Infrastructure Enabled Autonomy (IEA). In order for reviewing and summarizing the CAD-related literature in an explicit and logical manner, this research originally classifies literature according to the Cooperative Automation Classes released by SAE. Based on this classification, the

The tradeoff between hydrogen buses (H-buses) and electric bus (E-buses) is an important issue in public transportation electrification. This study investigated the feasibility and policy implications of Hong Kong achieving its goal of carbon neutrality via a competitive bus-market mechanism. First, we established a dynamic bus-market evolution model by using the system dynamics method to adopt a generalized

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Abstract not available