This paper reports on the effects of an e-cycling incentive program in the province of North-Brabant, The Netherlands, in which commuters could earn monetary incentives when using their e-bike. The study used a longitudinal design allowing to observe behaviour change and mode shifts. The program appeared to be highly effective in stimulating e-bike use, as one month after the start of the program, the share of commute trips made by e-bike increased from 0% to 68%, with an increase up to 73% after half a year of participating. The environmental, congestion and health benefits of this shift are however mixed. Half of the e-bike trips substitute car trips, with positive effects on environment, congestion and health. The other half substitutes conventional cycling trips, implying fever health benefits. Our analyses further suggest that distance is an important factor for adopting e-cycling, where e-bike has a larger acceptable distance than a conventional bike. Nevertheless, we observed that the likelihood to use the e-bike decreased as commuting distance increased. Multivariate analyses suggest that a shift to e-cycling is affected by age, gender, physical condition, car ownership and household composition. Our study did find support for the hypothesis that having a strong car-commuting habit decreases the probability of mode shift to a new mode alternative. In contrast, multimodality may increase the likelihood of e-bike use as a result of openness to other travel options and a more deliberate mode choice. Lastly, dissatisfaction with the current travel mode positively influences mode shift towards the e-bike. Our results imply that stimulating e-cycling may be a promising way of stimulating physical activity, but that it will be most effective if targeted at specific groups who are not currently engaging in active travel.
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The municipality 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. One of these measures is an innovative priority privilege scheme at the Amsterdam Central Station taxi stand, which should lead to shorter waiting times and more trips for clean taxis. The municipality wants to know if the measure is effective. In this study, we present an analysis of visiting behaviour of clean and regular (diesel) taxis in order to assess the effectiveness of the privilege scheme to attract more clean taxis. As such it aims to contribute to a better understanding of the effect of the priority measure at the Amsterdam Central Station and to provide input for policy makers to introduce incentive schemes to stimulate clean taxis in cities. Analysed data covers a timespan from one year, starting October 2015 when the privilege scheme started with a call rate of 1 clean taxi to each 4 taxis called for a ride. The analysis shows the number of arriving clean taxis to shift from 1:6 to 1:4 during the observation period. Based on this analysis the municipality decided to modify the preference ratio beginning 2017. This study contributes to a better understanding of the effect of the privilege measures and provides input for policy makers introducing incentives to stimulate clean taxis in cities.
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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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Een vraagarticulatieproces met projectmanagers en -leiders uit private en Triple-Helix organisaties laat zien dat zij behoefte hebben aan tools voor: 1. Het bepalen van de juiste incentives om stakeholders actief te betrekken in multi-sector collaboratieve innovatieprojecten (verder verwezen als innovatieprojecten), en 2. Het concreet, transparant en op één lijn te krijgen van de belangen van de partners. Vandaar dat dit project betreft het doorontwikkelen van het Degrees of Engagement diagram (DoE-diagram), een tool voor het managen van stakeholder engagement in innovatieprojecten voor het behalen van de maatschappelijke opgaven. Hiermee sluit het project aan bij de programmalijn ‘rollen, belangen en coördinatie’ van de Kennis en Innovatieagenda van de missie Maatschappelijke Verdienvermogen- thema’s Klimaat & Energie en Circulaire economie. Het consortium bestaat uit de Hogeschool van Amsterdam (HvA), KplusV en Amsterdam Smart City (ASC). De HvA ontwikkelde het DoE-diagram. Voor het identificeren van stakeholders bevat het DoE-diagram attributen op project- en organisatieniveau. In dit project wordt het DoE doorontwikkeld door onderzoek te doen naar: 1. De attributen op individuniveau en potentiele nieuwe attributen op project- en organisatieniveau, 2. De mate waarin deze attributen invloed hebben op het bepalen van de passende incentives, de concretisering van de partnerbelangen en al dan niet succesvolle verloop van innovatieprojecten, 3. Een verkenning van een digitale versie van het DoE voor het managen van in- en uitstappen van partners. Hiermee beoogt het project twee doelen: 1. Inzicht verkrijgen in stakeholderconfiguraties voor het ondersteunen van beslissingen met betrekking tot stakeholder-engagement, 2. Bouwen van een consortium van partijen die vervolg aan het project gaan geven door longitudinaal onderzoek te doen naar de inzet van de uitbreiding van het DoE-diagram en het maken van een werkend prototype en testen van de digitale versie ervan.
E-cycling intelligence is a research project directly connected to the PhD-research of Joost de Kruijf at the Utrecht University. Within the program the effects of the introduction of e-bikes in daily commuting are being investigated. Using a large-scale incentive program targeting on behavioral change among car-oriented commuters the next four specific components are being :- Modal shift to e-cycling- Well-being and travel satisfaction of e-bikes vs. car- Weather circumstances and e-cycling- Behavioral intention to e-bike vs. actual behavior Using a combination of three surveys (baseline, one month and half a year) and continuous GPS-measurement on the behavior of more than 800 participants makes this research unique. In collaboration with the TU/e the GPS-dataset is being translated into relevant information on modal shift on different trip purposes offering a new range of possibilities to analyses behavioral change. Knowledge on every of the four topics in the project is translated scientific paper. The expected end of the project is July 2021.With the research not new insights are being gained, the Breda University of Applied Sciences also develops a scientific network of cycling related researchers together with a network of cycling engaged road authorities.
