This paper analyses the effect of two new developments: electrification and ‘free floating’ car sharing and their impact on public space. Contrary to station based shared cars, free floating cars do not have dedicated parking or charging stations. They therefore park at public parking spots and utilize public charging stations. A proper network of public charging stations is therefore required in order to keep the free floating fleet up and running. As more municipalities are considering the introduction of an electric free floating car sharing system, the outline of such a public charging network becomes a critical piece of information. The objective of this paper is to create insights that can optimize charging infrastructure for free floating shared cars, by presenting three analyses. First, a business area analysis shows an insight into which business areas are of interest to such a system. Secondly, the parking and charging behaviour of the vehicles is further examined. The third option looks deeper into the locations and their success factors. Finally, the results of the analysis of the city of Amsterdam are used to model the city of The Hague and the impact that a free floating electric car sharing system might have on the city and which areas are the white spots that need to be filled in.
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This research explores the attitudes of children from different socio-economic backgrounds towards cars. This paper explores their projected choices and motivations in the context of (1) post-materialist values; (2) economic constraints; and (3) social status theories; and draws upon survey research among 140 upper elementary school children in the Netherlands between September 2010 and January 2011. Comparative analysis shows that there are significant differences in attitudes of children from different socio-economic backgrounds. Pupils from the affluent predominantly ethnically Dutch schools showed greater awareness of and concern about their parents’ and general use of cars, and less desire to own a car in the future, children from less economically advantaged schools demonstrated lower environmental awareness and concern and more desire to own a car in the future. This study is based on a small sample and indicates a need for large-scale follow-up study of children's attitudes towards cars. https://doi.org/10.1016/j.tranpol.2012.07.010 https://www.linkedin.com/in/helenkopnina/
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Densely populated areas are major sources of air, soil and water pollution. Agriculture, manufacturing, consumer households and road traffic all have their share. This is particularly true for the country featured in this paper: the Netherlands. Continuous pollution of the air and soil manifests itself as acification, decalcification and eutrofication. Biodiversity becomes lower and lower in nature areas. Biological farms are also under threat. In case of mobility, local air pollution may have a huge health impact. Effective policy is called for, after high courts blocked construction projects, because of foreseen building- and transport-related NOx emissions. EU law makers are after Dutch governments, because these favoured economics and politics over environmental and liveability concerns. But, people in the Netherlands are strongly divided. The latest provincial elections were dominated by environmental concerns, next to many socio-economic issues. NOx and CO2 emissions by passenger cars are in focus. Technical means and increasing fuel economy norms strongly reduced NOx emissions to a still too high level. A larger number of cars neutralized a technological reduction of CO2 emissions. The question is: What would be the impact of a drastic mandatory reduction in CO2, NOx, and PM10 emissions on car ownership and use in the Netherlands? The authors used literature, scenario analysis and simulation modelling to answer this question. Electric mobility could remove these emissions. Its full impact will only be achieved if the grid-mix, which is still dominated by fossil fuels, becomes green(er), which is a gradual, long-term, process. EVs compete with other consumers of electricity, as many other activities, such as heating, are also electrifying. With the current grid-mix, it is inevitable that the number of km per vehicle per year is reduced to reach the scenario targets (−25% resp. −50% CO2 emissions by cars). This calls for an individual mobility budget per car user.
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In the last decade, the automotive industry has seen significant advancements in technology (Advanced Driver Assistance Systems (ADAS) and autonomous vehicles) that presents the opportunity to improve traffic safety, efficiency, and comfort. However, the lack of drivers’ knowledge (such as risks, benefits, capabilities, limitations, and components) and confusion (i.e., multiple systems that have similar but not identical functions with different names) concerning the vehicle technology still prevails and thus, limiting the safety potential. The usual sources (such as the owner’s manual, instructions from a sales representative, online forums, and post-purchase training) do not provide adequate and sustainable knowledge to drivers concerning ADAS. Additionally, existing driving training and examinations focus mainly on unassisted driving and are practically unchanged for 30 years. Therefore, where and how drivers should obtain the necessary skills and knowledge for safely and effectively using ADAS? The proposed KIEM project AMIGO aims to create a training framework for learner drivers by combining classroom, online/virtual, and on-the-road training modules for imparting adequate knowledge and skills (such as risk assessment, handling in safety-critical and take-over transitions, and self-evaluation). AMIGO will also develop an assessment procedure to evaluate the impact of ADAS training on drivers’ skills and knowledge by defining key performance indicators (KPIs) using in-vehicle data, eye-tracking data, and subjective measures. For practical reasons, AMIGO will focus on either lane-keeping assistance (LKA) or adaptive cruise control (ACC) for framework development and testing, depending on the system availability. The insights obtained from this project will serve as a foundation for a subsequent research project, which will expand the AMIGO framework to other ADAS systems (e.g., mandatory ADAS systems in new cars from 2020 onwards) and specific driver target groups, such as the elderly and novice.
Kunststofcomposieten of Vezel Versterkte Kunststoffen (VVK) zijn moderne materialen die steeds vaker gebruikt worden als vervanging van conventionele materialen. Vooral in de ?mobiliteit? wordt voor vezelversterkte kunststoffen gekozen, omdat het producten een stuk lichter maakt. Lichtere producten presteren immers beter. Door de grote opkomst van vezelversterkte kunststoffen, zal ook de ?herstelmarkt? voor vezelversterkte kunststoffen de komende jaren een hoge vlucht gaan nemen. Recent zijn ook grote autofabrikanten begonnen met de verkoop van betaalbare auto?s met een veiligheidkooi die bestaat uit één groot vezel versterkt kunststofonderdeel. Na een botsing is het vervangen van zo?n deel bijna net zo kostbaar als het kopen van een nieuwe auto! Omdat autoschadeherstelbedrijven nauwelijks ervaring hebben met het repareren van vezelversterkte kunststoffen hebben zij HAN Automotive om hulp gevraagd. Vezelversterkte kunststof is echter een complex materiaal en reparatie vereist dan ook hoogwaardige theoretische kennis en specifieke praktische vaardigheden. In andere branches is veel meer ervaring met repareren en door onderzoeksinstellingen is al veel diepgaand onderzoek verricht. Vandaar dat het initiatief is genomen om een netwerk te vormen met partijen die ?van wanten weten? om het probleem van autoschadeherstellers aan te pakken en gezamenlijk te werken aan een praktische ?Tool? waarmee: * Bepaald kan worden wat de best passende manier is om de specifieke schade te repareren, * Vooraf ingeschat kan worden welke resultaten met een reparatie behaald kunnen worden. Omdat de waarde van een dergelijke ?Tool? niet beperkt is tot de automotive branche, heeft een flink aantal partijen uit de vezelversterkte kunststofbranche zich bij het initiatief aangesloten.
The research, supported by our partners, sets out to understand the drivers and barriers to sustainable logistics in port operations using a case study of drone package delivery at Rotterdam Port. Beyond the technical challenges of drone technology as an upcoming technology, it needs to be clarified how drones can operate within a port ecosystem and how they could contribute to sustainable logistics. KRVE (boatmen association), supported by other stakeholders of Rotterdam port, approached our school to conduct exploratory research. Rotterdam Port is the busiest port in Europe in terms of container volume. Thirty thousand vessels enter the port yearly, all needing various services, including deliveries. Around 120 packages/day are delivered to ships/offices onshore using small boats, cars, or trucks. Deliveries can take hours, although the distance to the receiver is close via the air. Around 80% of the packages are up to 20kg, with a maximum of 50kg. Typical content includes documents, spare parts, and samples for chemical analysis. Delivery of packages using drones has advantages compared with traditional transport methods: 1. It can save time, which is critical to port operators and ship owners trying to reduce mooring costs. 2. It can increase logistic efficiency by streamlining operations. 3. It can reduce carbon emissions by limiting the use of diesel engines, boats, cars, and trucks. 4. It can reduce potential accidents involving people in dangerous environments. The research will highlight whether drones can create value (economic, environmental, social) for logistics in port operations. The research output links to key national logistic agenda topics such as a circular economy with the development of innovative logistic ecosystems, energy transition with the reduction of carbon emissions, societal earning potential where new technology can stimulate the economy, digitalization, key enabling technology for lean operations, and opportunities for innovative business models.