Transportation Research Part D: Transport and Environment

We systematically evaluated environmental impacts and costs of historical pavement mix designs and construction pay items.

Common mix-level sustainable strategies generally decreases environmental impacts.

Long hauling distances and use of modified binders can negate the impacts of common sustainable strategies.

A positive relationship between cost and environmental impacts for pay items was observed.

The average cost effectiveness of mix-level sustainable strategies was determined.

To caution about distortions present in the promotion of rail as more environmentally friendly than bus.

Accounting for the fuel cycle and vehicle cycle emissions in comparing bus and rail.

The challenges in undertaking an audit of all sources of emissions.

Australian case study.

A railroad’s eco-efficiency measurement method is proposed.

Seven eco-efficiency indicators were proposed.

The methodology was applied to a real major Brazilian railroad.

Results achieved by the proposed method were compared with USA EPA standards.

Different alternative fuels and technologies were evaluated.

Fuel efficiency change in vehicle fleet presents a strong variation over urban space.

Oil vulnerable households showed a low tendency in shifting fuel efficient vehicles.

Fuel efficiency improvement in outer suburbs generate great benefit for fuel saving.

Stronger fuel economy targets will make new vehicles more efficient and affordable.

The expected locational accessibility (ELA) of transit network is defined.

The sample-test-statistics and topological analysis methods for the ELA are presented.

The ELA is computed in the probabilistic framework.

A transient fuel consumption model is developed and it consists of steady-state and transient correction section.

Transient correction was introduced on the basis of steady-state prediction.

The Mean Absolute Percentage Error of the new developed fuel consumption model decreased approximately 29.44–34.48% when transient corrections were introduced.

Vehicle Specific Power (VSP) is also introduced to better correct fuel consumption prediction.

The slopes of regression lines for the new model between the measured and the predicted fuel consumption range from 0.9408 to 0.9608.

We use nearest weighted interval approximation.

We incorporate fuzzy and ordinal data in DEA to deal with volume discounts.

We assess sustainability of suppliers.

Evaluates the impact of introducing a monorail to the greater Colombo metropolitan area.

Describes the actual traffic flow along one major intra-urban corridor using a monocentric city model.

Finds that proposed monorail system reduces CO₂ from commuting traffic by 42%.

Travel time savings is the major source of benefit that justifies 26.8 km length of the monorail.

The pollutant emission differences between the use of EVs and ICEVs are compared.

The environmental impact of developing EV industry in China is predicted.

WTW method is used to assess the environmental impact for EVs.

Factors affecting the emission of air pollutants of EVs were studied.

Targeted policy recommendations for EV industry are proposed.

An optimization model is proposed to address a multi-period CLSCN planning problem.

Carbon emission policies are integrated in the context of CLSCN design and planning.

Stochastic scenario-RO method is used to handle two different types of uncertainties.

Transportation mode and technologies selection decisions are considered in the model.

We investigate the impact of carbon emission policies on CLSCN design.

Results show trade-off between total cost and carbon emission under various policies.

Also, results reveal some insightful observations w.r.t. CLSCN design and emissions.

Five different charging strategies for two e-mobility applications are presented.

Charging strategies can be characterized with five key performance indicators.

Predictable mobility patterns allow for individual charging strategy adaptation.

Charging curves and energy consumption are the core inputs for charging strategies.

A mix of charging levels allows a high mileage while limiting battery ageing.