The increased adoption of electric vehicles worldwide is largely caused by the uptake of private electric cars. In parallel other segments such as busses, city logistics and taxis, are increasingly becoming electrified. Amsterdam is an interesting case, as the municipality and the taxi sector have signed a voluntary agreement to realise a full electric taxi fleet by 2025. This paper investigates the results of a survey that was distributed amongst 3000 taxi drivers to examine perceptions and attitudes on the municipal charging incentives as well as taxi ride characteristics.
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Electrification of mobility exceeds personal transport to increasingly focus on particular segments such as city logistics and taxis. These commercial mobility segments have different motives to purchase a full electric vehicle and require a particular approach to incentivize and facilitate the transition towards electric mobility. A case where a municipality was successful in stimulating the transition to electric mobility is the taxi sector in the city of Amsterdam. Using results from a survey study (n = 300), this paper analyses the differences in characteristics between taxi drivers that either have or do not have interest in purchasing a full electric taxi vehicle. Results show a low intention across the sample to adopt a full electric vehicle and no statistically significant differences in demographics between the two groups. Differences were found between the level of acceptability of the covenant, the rated attractiveness of the incentives, the ratings of full electric vehicle attributes and the consultation of objective and social information sources. These results can be used by policy makers to develop new incentives that target specific topics currently influencing the interest in a full electric taxi vehicle.
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The city of Amsterdam wants to have an emission free taxi sector by 2025. In order to reach that goal, the city has taken a number of measures which favour clean taxis above conventional taxis. In 2017, as part of this policy, the city of Amsterdam decided to allow only clean taxis at the Leidseplein taxi stand, one of the busiest taxi stands in the city. This taxi stand is characterized by large numbers of passengers within very short periods at social evenings and nights on Thursdays, Fridays and Saturdays. The municipality wanted to know if the number of clean taxis in Amsterdam would be sufficient to handle these high peaks of passengers.In this study, Amsterdam University of Applied Sciences (AUAS) presents a monitoring tool that was developed to follow the visiting behaviour of clean (electric and green gas vehicles) and regular (diesel) taxis at the Leidseplein taxi stand. The tool served as a basis for the municipality to evaluate the feasibility of making this taxi stand completely clean. As such this tool aims to contribute to a better understanding of the effect of this privilege measure and to provide input for policy makers to introduce privilege schemes to stimulate clean taxis in cities.
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This paper presents the results of an experimental field study, in which the effects were studied of personalized travel feedback on car owners’ car habits, awareness of the environmental impact of their travel choices, and the intention to switch modes. For a period of six weeks, 349 car owners living in Amsterdam used a smart mobility app that automatically registered all their travel movements. Participants in the experiment group received information about travel distance, time, and CO2 emission. Results show that the feedback did not influence self-reported car habits, intention, and awareness, suggesting that personalized feedback may not be a one-size-fits-all solution to change travel habits.
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The World Health Organization (WHO) strives to assist and inspire cities to become more ‘age-friendly’ through the Global Age-Friendly Cities Guide. An age-friendly city offers a supportive environment that enables residents to grow older actively within their families, neighbourhoods and civil society, and offers extensive opportunities for their participation in the community. In the attempts to make cities age-friendly, ageism may interact with these developments. The goal of this study was to investigate the extent to which features of age-friendly cities, both facilitators and hindrances, are visible in the city scape of the Dutch municipalities of The Hague and Zoetermeer and whether or not ageism is manifested explicitly or implicitly. A qualitative photoproduction study based on the Checklist of Essential Features of Age-Friendly Cities was conducted in five neighbourhoods. Both municipalities have a large number of visual age-friendly features, which are manifested in five domains of the WHO model, namely Communication and information; Housing; Transportation; Community support and health services; and Outdoor spaces and buildings. Age-stereotypes, both positive and negative, can be observed in the domain of Communication and information, especially in the depiction of third agers as winners. At the same time, older people and age-friendly features are very visible in the cityscapes of both municipalities, and this is a positive expression of the changing demographics. Original article at Sage: https://doi.org/10.1177/1420326X19857216
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The aim of this research is to assess the potential impact of the CO2 Performance Ladder on CO2 emission reduction. The CO2 Performance Ladder is a new green procurement scheme that has been adopted by several public authorities in the Netherlands; it is a staged certification scheme for energy and CO2 management. The achieved certification level gives companies a certain competitive advantage in contract awarding procedures. While the scheme has been widely adopted by companies in the construction industry, other types of companies in the supply chain of the commissioning parties also participate. Currently, more than 190 companies participate in the scheme. The aggregate CO2 emissions covered by the scheme are around 1.7 Mtonnes, which corresponds to almost 1 % of national greenhouse gas emissions in the Netherlands. Since the introduction of the scheme the total CO2 emissions have decreased substantially. Nevertheless, these emission reductions should be interpreted with caution since emission reductions are dominated by a few companies and are affected to a large extent by economic activity. Companies participating in the scheme have set different types of CO2 emission reduction targets with varying ambition levels. The projected impact of these targets on CO2 emissions is in the range of a 0.5 %-1.3 % absolute emission reduction per year, with a most likely value of 1.1 %. The CO2 Performance Ladder can therefore make a substantial contribution to achieving the CO2 emission reductions for non-ETS sectors in the Netherlands up to 2020.
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