" ProRail en NS willen het spoor en haar stations verduurzamen. Een eerste belangrijk aandachtpunt was energiereductie en het opwekken van duurzame energie. Maar hoe ziet een circulair station eruit? En wat betekent dat eigenlijk, een circulair spoor? Bureau Spoorbouwmeester werkt aan de vraag hoe deze ambitie ruimtelijk tot expressie komt. In het volgende Spoorbeeld ligt daarom de focus op circulaire stations. Wat betekent het streven naar circulariteit voor het ontwerp van stationsgebouwen, voor onderhoud en beheer van assets? In dit nieuwe essay wordt onderzocht wat circulaire denken en doen inhoudt. Waarom is circulariteit belangrijk en wat houdt dat in een opgave circulair aanpakken? Er worden vier invalhoeken gepresenteerd ten aanzien van een dergelijke opgave. Verder worden circulaire strategieën omschreven om een dergelijke opgave aan te pakken. Vervolgens worden ter inspiratie gangbare circulaire strategieën gepresenteerd aan de hand van voorbeeld in de vorm van een apart beeld essay. Tot slot wordt stil gestaan bij wat er nodig is om circulair te kunnen werken. Het essay “Circulaire Stations” verschijnt op 10 oktober, op de Dag van de Duurzaamheid. Mieke Oostra is lector Nieuwe Energie in de Stad aan de Hogeschool Utrecht en gepromoveerd op productinnovatie in de bouw en de rol daarin van architecten. Zij schreef dit op ons verzoek samen met CIVIC Architecten. "
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Cleanliness is one of the key determinants of overall customer satisfaction in train stations. Customers’ perception of cleanliness is not limited to cleaning only but depends on multiple predictors. A better understanding of these predictors may contribute to the optimisation of perceived cleanliness in train stations. The current study was designed to examine how objective predictors (measures of cleaning quality), subjective predictors (e.g., customers’ perception of lighting, scent, staff), and demographic variables relate to perceived cleanliness in train stations. Data on cleaning quality were gathered by trained cleaning inspectors and data on subjective predictors of cleanliness were obtained through surveys collected at 25 train stations in the Netherlands (N = 19.206). Data were examined using correlation and regression analysis. Positive and significant correlates of perceived cleanliness in train stations were found, including: perception of scent, lighting, colour, and staff. In regression analysis, customers’ perception of scent and lighting appeared to be powerful predictors of perceived cleanliness. These findings underline that customers’ perception of cleanliness is not only influenced by cleaning quality, but also by other predictors, such as scent, lighting, colour, and staff behaviour.
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This report summarizes the result of the comparison between 4 weather stations: 2 Kestrels 5400 Heat Stress and 2 Davis Vantage Pro2. The measurements were performed from the 08/04/2019 to 11/04/2019 on the rooftop of the Benno Premselahuis from the Hogeschool van Amsterdam.
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Underutilised charging stations can be a bottleneck in the swift transition to electric mobility. This study is the first to research cooperative behaviour at public charging stations as a way to address improved usage of public charging stations. It does so by viewing public charging stations as a common-pool resource and explains cooperative behaviour from an evolutionary perspective. Current behaviour is analysed using a survey (313 useful responses) and an analysis of large dataset (2.1 million charging sessions) on the use of public charging infrastructure in Amsterdam, The Netherlands. In such a way it identifies the potential, drivers and possible obstacles that electric vehicle drivers experience when cooperating with other drivers to optimally make use of existing infrastructure. Results show that the intention to show direct reciprocal charging behaviour is high among the respondents, although this could be limited if the battery did not reach full or sufficient state-of-charge at the moment of the request. Intention to show direct reciprocal behaviour is mediated by kin and network effects.
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With the rise of the number of electric vehicles, the installment of public charging infrastructure is becoming more prominent. In urban areas in which EV users rely on on-street parking facilities, the demand for public charging stations is high. Cities take on the role of implementing public charging infrastructure and are looking for efficient roll-out strategies. Municipalities generally reserve the parking spots next to charging stations to ensure their availability. Underutilization of these charging stations leads to increased parking pressure, especially during peak hours. The city of The Hague has therefore implemented daytime reservation of parking spots next to charging stations. These parking spots are exclusively available between 10:00 and 19:00 for electric vehicles and are accessible for other vehicles beyond these times. This paper uses a large dataset with information on nearly 40.000 charging sessions to analyze the implementation of the abovementioned scheme. An unique natural experiment was created in which charging stations within areas of similar parking pressure did or did not have this scheme implemented. Results show that implemented daytime charging 10-19 can restrict EV owners in using the charging station at times when they need it. An extension of daytime charging to 10:00-22:00 proves to reduce the hurdle for EV drivers as only 3% of charging sessions take place beyond this time. The policy still has the potential to relieve parking pressure. The paper contributes to the knowledge of innovative measures to stimulate the optimized rollout and usage of charging infrastructure.
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This paper aims to answer the question: “Which factors influence the success of public charging stations?”. For the empirical analyses we used data provided by the public charging stations of the city The Hague. In the second half of 2015 more than 91.795 charge sessions were logged of more than 6.693 unique charge cards.---Analyse van de verschillen in het gebruik van de zogeheten ‘demand-driven’ en strategische laadpunten. Onderzoek naar de uitrol en het gebruik van E-Laad oplaadpunten in Nederland (EN).
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City authorities want to know how to match the charging infrastructures for electric vehicles with the demand. Using camera recognition algorithms from artificial intelligence we investigated the behavior of taxis at a charging stations and a taxi stand.
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This study is the first to systematically and quantitatively explore the factors that determine the length of charging sessions at public charging stations for electric vehicles in urban areas, with particular emphasis placed on the combined parking- and charging-related determinants of connection times. We use a unique and large data set – containing information concerning 3.7 million charging sessions of 84,000 (i.e., 70% of) Dutch EV-users – in which both private users and taxi and car sharing vehicles are included; thus representing a large variation in charging duration behavior. Using multinomial logistic regression techniques, we identify key factors explaining heterogeneity in charging duration behavior across charging stations. We show how these explanatory variables can be used to predict EV-charging behavior in urban areas and we derive preliminary implications for policy-makers and planners who aim to optimize types and size of charging infrastructure.
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