17 research outputs found

    Ausbau der Ladeinfrastruktur in 4 Niederländischen Groβstädten

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    Research outcomes with regard to charging behaviour and simulation of charging behaviour based on charging data of the public charging infrastructure in Amsterdam, Rotterdam, The Hague, Utrecht and the Metropolitan Region of Amsterda

    Average kWh per RFID per session in the G4 and MRA-E

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    EV Charging performance: A dashboard to support

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    Demand driven expansion of charging infrastructure. Detection of charging infrastructure bottlenecks. Strategic expansion of charging infrastructure

    Data-sharing and data-hub

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    Insight is given in the data sharing environment that AUAS has provided for charging infrastructure; and effect of privacy legislation are evaluated

    Utilization of public charging infrastructure: benchmark of 4 major cities and metropolitan area in the Netherlands

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    Presentatie op het EEVC congres waarin het gebruik van oplaadinfrastructuur in de G4 wordt vergeleken aan de hand van verschillende Kritieke Prestatie Indicatoren (EN)

    Simulaad: further development of the data-hub: WP1 results

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    Factors that inhibit partnering for social start-up enterprises

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    Purpose – The purpose of this paper is to analyze the inhibiting factors of partnership creation between social entrepreneurs in the business, government, public and non-profit sector. Design/methodology/approach – This paper examines four cases of social entrepreneurship in the start-up phase. Each case is studied in real time, for a period of two years. Findings – The empirical research reveals that partnership creation for social enterprises between a social enterprise and organizations in various sectors is inhibited by conflicting interests and diverging speed of on one hand and by the conflicts that originate from the opportunity-seeking behavior of the social entrepreneur and the risk avoiding behavior of the organizations. While the social start-ups that managed to neutralize such inhibitors succeeded, the start-up enterprises that did not manage to do so failed. Originality/value – While, there is a sound body of knowledge of the factors that inhibit the more traditional single and cross-sector partnerships, relatively little is known about the factors that inhibit the partnerships between social enterprises and organizations in the business, public, government, and non-profit sectors in society.Business formation, Entrepreneurialism, Joint ventures, Partnership, Societal organization

    Performance of Electric Vehicle Charging Infrastructure: Development of an Assessment Platform Based on Charging Data

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    Developers of charging infrastructure, be it public or private parties, are highly dependent on accurate utilization data in order to make informed decisions where and when to expand charging points. The Amsterdam University of Applied Sciences, in close cooperation with the municipalities of Amsterdam, Rotterdam, The Hague, Utrecht, and the Metropolitan Region of Amsterdam Electric, developed both the back- and front-end of a charging infrastructure assessment platform that processes and represents real-life charging data. Charging infrastructure planning and design methods described in the literature use geographic information system data, traffic flow data of non-EV vehicles, or geographical distributions of, for example, refueling stations for combustion engine vehicles. Only limited methods apply real-life charging data. Rolling out public charging infrastructure is a balancing act between stimulating the transition to zero-emission transport by enabling (candidate) EV drivers to charge, and limiting costly investments in public charging infrastructure. Five key performance indicators for charging infrastructure utilization are derived from literature, workshops, and discussions with practitioners. The paper describes the Data Warehouse architecture designed for processing large amounts of charging data, and the web-based assessment platform by which practitioners get access to relevant knowledge and information about the current performance of existing charging infrastructure represented by the key performance indicators developed. The platform allows stakeholders in the decision-making process of charging point installation to make informed decisions on where and how to expand the already existing charging infrastructure. The results are generalizable beyond the case study regions in the Netherlands and can serve the roll-out of charging infrastructure, both public and semi-public, all over the world
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