Cities’ sustainability strategies seem to aim at the reduction of the negative impacts of urban freight transport. In the past decades, many public and private initiatives have struggled to gain broad stakeholder support and thus remain viable. Researchers and practitioners have only recently recognised stakeholder acceptance of urban freight solutions as a challenge. A first step in achieving convergence is to understand stakeholder needs, preferences and viewpoints. This paper proposes and applies an approach to identify the main stakeholder perspectives in the domain of urban freight transport. We use Q-methodology, which originates from social sciences and psychology, to record subjective positions and identify the dominant ones. We explain the approach, operationalise the method for the domain of urban freight transport and apply it to stakeholder groups in the Netherlands. We find four dominant perspectives, reflecting how stakeholders normally take positions in the urban freight dialogue. Important findings concern disparities between industry associations and some of their membership, divergent views about the expected role of public administration, and the observation that the behaviour of shippers and Logistics Service Providers (LSP) appears to be inconsistent with their beliefs. All these factors together can act as a barrier to the implementation of urban freight consolidation concepts. The Q-methodology is valuable for eliciting perspectives in urban freight and is a promising tool to facilitate stakeholder dialogue and, eventually, convergence.
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Limited data is available on the size of urban goods movement and its impact on numerous aspects with respect to livability such as emissions and spatial impact. The latter becomes more important in densifying cities. This makes it challenging to implement effective measures that aim to reduce the negative impact of urban good movement and to monitor their impact. Furthermore, urban goods movement is diverse and because of this a tailored approach is required to take effective measures. Minimizing the negative impact of a heavy truck in construction logistics requires a different approach than a parcel delivery van. Partly due to a lack of accurate data, this diversity is often not considered when taking measures. This study describes an approach how to use available data on urban traffic, and how to enrich these with other sources, which is used to gain insight into the decomposition (number of trips and kilometers per segment and vehicle type). The usefulness of having this insight is shown for different applications by two case studies: one to estimate the effect of a zero-emission zone in the city of Utrecht and another to estimate the logistics requirements in a car-free area development.
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Innovative logistics service providers are currently looking for possibilities to introduce electric vehicles for goods distribution. As electrical vehicles still suffer from a limited operation range, the logistical process faces important challenges. In this research we advise on the composition of the electrical vehicle fleet and on the configuration of the service network, to achieve a successful implementation of electric vehicles in the innercity of Amsterdam. Additional question in our research is whether the CO2 emission reduces at all or might even increase due to an increase of tripkilometres as a consequence of mileage constraints by the batteries. The aim of the implementation of the research is to determine the ideal fleet to transport a known demand of cargo, located at a central depot, to a known set of recipients using vehicles of varying types. The problem can be classified as a Fleet Size and Mix Vehicle Routing Problem (FSMVRP). In addition to the regular constraints that apply to the regular FSMVRP, in our case also time windows apply to the cargo that needs to be transported (FSMVRPTW). The operation range of the vehicles is constrained by the battery capacity. We suggest modifications to existing formulations of the FSMVRPTW to make it suitable for the application on cases with electrical vehicles. We apply the model to create an optimal fleet configuration and the service routes. In our research case of the Cargohopper in Amsterdam, the performance of alternative fleet compositions is determined for a variety of scenarios, to assess their robustness. The main uncertainties addressed in the scenarios are the cargo composition, the operation range of the vehicles and their operation speed. Based on our research findings in Amsterdam we conclude that the current generation of electric vehicles as a part of urban consolidation concept have the ability to perform urban freight transport efficiently (19% reduction in vehicle kilometres) and meanwhile have the capability to improve air quality and reduce CO2-emissions by 90%, and reduce noise nuisance in the inner cities of our (future) towns.
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