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One strategy that can offer substantial transportation performance improvement is freight consolidation. Freight consolidation refers to the practice of aggregating customer orders over space and/or time until a specified minimum total shipment weight/volume is accumulated and/or a maximum holding time for the oldest customer order is reached. The aggregated customer orders are then shipped together.

Because of growing congestion problems and environmental and safety considerations, freight transportation becomes more and more a key issue in logistics in particular and in the industrial process in general. The transportation mode choice is still often made in a rather irrational way. This paper presents the outcome of surveys conducted in Belgian industry about the logistics decision maker’s perception concerning the transportation modes. The different choice criteria are determined and weighted. Finally an interactive Internet tool is presented in order to support the transportation mode decision process. The paper provides insights into the logistics process to the authorities, but above all offers a tool to individual decision makers in the transportation mode selection.

Consolidation, the grouping of several small shipments into one at a designated location, can reduce total logistics cost. Total logistics cost includes consolidation, transportation and inventory costs. Identifying where cost‐saving opportunities exist is often confused by the interrelated nature of these various costs.

The environmental impacts of transportation are rarely brought into decision making frameworks. The purpose of this paper is to introduce a framework and tool to help in these organizational decisions.

A survey analysis was carried out amongst waste‐management companies within the project ETIENNE. Using this information, drivers and hurdles to the environmentally motivated optimization of transport were identified.

This research framework presents results of perceived hurdles in transport process optimization. Results of the research are grounded with definitions and discussion of the relevance of logistic processes.

Analysis provided in this paper shows that there is no practicable tool to consider environmental impacts in management decisions in transportation. Therefore, a software tool, the so‐called ETIENNE‐Tool, for the evaluation of transportation alternatives, is developed. Theoretical principles for the environmental evaluation of transport processes are also proposed.

Organizational tasks – such as the selection and planning of transportation relations; employment of means of transportation; planning of locations; finally performing of operative business – can be fulfilled in a more environmentally sound manner.

Based on the ETIENNE‐Tool and taking into consideration stakeholders' requirements, different transportation chains for one transportation task can be easily compared and transportation can be planned efficiently.

This paper aims to analyze the demand for mobility in higher education to understand the critical elements of students' mobility and the potential impact of accessing sustainable alternatives. The demand for different means of transportation accounts for socioeconomic variables such as household income and size, gender, age, among other travel factors such as distance, time, speed and direct cost.

This research uses a unique data set encompassing a representative sample of households across gender and municipalities in the Monterrey Metropolitan Area in Mexico. This paper uses the value of transportation time savings approach to estimate the derived demand for mobility in higher education across different means. The empirical strategy uses a linear utility framework in a multinomial non-ordered logit model to analyze the conditional selection of transportation as a function of sociodemographics, direct monetary costs and travel determinants such as travel time, distance and speed.

Men students are more likely to use an unsustained transportation mode such as a car or cab than women. Income is a crucial determinant for transportation demand. There is a negative relationship between household income and walking or riding the bus but positive with driving a car. An increase in the time of the trip decreases the probability of walking while increasing the likelihood of using a car or riding the bus to school. Students who feel safe while riding a bus are more likely to use the bus or walk as transportation than using a car. Finally, having access to better quality sidewalks significantly incentive walking over other transportation options.

Results show that individuals would almost always choose private vehicles because of the personal comforts and time savings.

Understanding the demand for higher education and access to sustainable transportation might provide new insights into campus planning and development. Access to public transportation options can reduce the travel costs for students with lower incomes and enlarge options for students who have to commute longer distances by car. Sustainable transportation access plays a role in promoting equality and economic development.

This study’s results bring new light on how transportation becomes an essential component of the opportunity cost of college education and could define its role in promoting equality or increasing inequality. This study’s finding is of particular interest for cities where housing location seems to be independent of access to school, work or other amenities.

The purpose of this paper is to estimate delivered hydrogen cost including both transport and expected accidents cost comparing compressed gas or liquid hydrogen road transport. The model allows to determine whether, in a given context, the risk of accidents is an influencing variable in the selection of the hydrogen transport mode. It also helps to select the lowest cost transport mode and route.

Transportation cost models are developed and integrated with a risk analysis model to determine expected accidents cost so that an overall delivered hydrogen cost can be computed. Alternative transport modes are compared on the basis of hydrogen demand, delivery distance and route type.

While safety cost in many cases can be considered negligible with respect to overall hydrogen transport cost, there are cases (high flow rate, long distance) where accident cost is relevant, especially in routes through densely populated areas. In such cases, factoring in accidents cost may significantly affect the break even point between CH2 and LH2 transport alternatives.

The paper only deals with proven road transportation methods (CH2 and LH2). Inclusion of alternative transport modes such as pipeline or hydrides is a future research goal.

Decision makers can examine the costs implied by hydrogen transportation alternatives in different economic scenarios factoring in safety costs to make informed decision.

Available hydrogen transportation cost models neglect any safety issue, while risk assessment models only consider accident consequences costs. This work integrates both views.

The purpose of this paper is to describe a pilot application of the Sustainable Transportation Analysis & Rating System (STARS), and highlight how a sustainability rating system can be used to promote sustainable urban development through a university–city partnership. STARS is an example of a second-generation “green” rating system focused on transportation planning, design, operations and maintenance.

In Fall 2013, James Madison University (JMU) initiated a STARS pilot demonstration using a local corridor that connects the university and the city of Harrisonburg. The pilot’s purposes were to develop attainable transportation-development targets, evaluate infrastructure and programmatic options in the context of a credit-based system and demonstrate a decision-making framework centered on sustainability optimization. The paper provides an overview of the STARS framework and the pilot’s collaborations, analysis, findings and recommendations for credits across sustainability dimensions.

Upon applying the rating system, the research team found that STARS may initially be easier to integrate into a comprehensive transportation planning process than a corridor-level evaluation due to data needs, in-house expertise and planning timelines for campus and city developments. A campus-wide master plan based on STARS would enable a university and a city to apply sustainability principles to their physical and/or policy interfaces to systemically create change and achieve quantifiable targets.

The STARS framework provides a novel approach for integrating multiple stakeholders (faculty, the university and city staff, students and community members) in a process of capacity building, evaluating options, policy-making, implementation and performance monitoring. The JMU pilot is the first application of STARS at a university and the only US East Coast application to date.