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• W2945642789 abstract "Over the past years, the usage of electric bikes has emerged. E-bikes are suitable for short and medium distance trips. Therefore, the Dutch government promotes using e-bikes for daily commuting trips. However, the impact of increasing demand on the cycling infrastructure is unclear. Additionally, route choice models for e-bikes are limited. This paper estimates a route choice model for e-bike users in the Noord-Brabant region of The Netherlands. The data used are based on 17626 trips from 742 users including user profiles extracted from GPS data. In order to analyze the data, a mixed logit model is applied on the route choice of respondents with addition of the path-size attribute. Mixed logit model allows a panel data setup and enables the examination of preference heterogeneity around the mean of distance attribute. Moreover, the path-size attribute is included on the model to account for the overlap between alternatives. Socio-demographic characteristics and trip-related factors are found to be influencing on the route choice decisions of e-bike and bike users. There are differences on the significance of variables between e-bike and bike users." @default.
• W2945642789 created "2019-05-29" @default.
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• W2945642789 date "2019-04-16" @default.
• W2945642789 modified "2023-09-30" @default.
• W2945642789 title "Route Choice Decisions of E-bike Users: Analysis of GPS Tracking Data in the Netherlands" @default.
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• W2945642789 doi "https://doi.org/10.1007/978-3-030-14745-7_7" @default.
• W2945642789 hasPublicationYear "2019" @default.
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