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Towards the development of a hotel-based e-bike rental service: Results from a stated preference survey and techno-economic analysis

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  • Genikomsakis, Konstantinos N.
  • Galatoulas, Nikolaos-Fivos
  • Ioakimidis, Christos S.

Abstract

Holiday cycling refers to the occasional use of bicycle during holidays as an alternative mode of transportation for exploring a destination, comprising a promising line of business for rental services of both conventional and electric bicycles (e-bikes), not only in countries with well-established cycling culture, but also in other tourist destinations. This paper advances the notion that a hotel-based e-bike rental service significantly contributes to the guests’ perception on the environmental quality and friendliness of the hotel, particularly if the e-bikes are powered by renewable energy sources, as a tourism product offering in the context of sustainable mobility. To that end, the present work employs a stated preference survey among hotel guests in the city of Mons, Belgium, to capture and analyze the user profile characteristics and preferences. Based on the survey results, it simulates two alternative implementations of the e-bike charging station with a well-established energy systems analysis tool and evaluates the techno-economic feasibility of the proposed service under different usage and pricing scenarios. The findings of this work show that all scenarios lead to positive internal rate of return and return on investment, rendering the proposed e-bike rental service a promising business venture.

Suggested Citation

  • Genikomsakis, Konstantinos N. & Galatoulas, Nikolaos-Fivos & Ioakimidis, Christos S., 2021. "Towards the development of a hotel-based e-bike rental service: Results from a stated preference survey and techno-economic analysis," Energy, Elsevier, vol. 215(PA).
    • Handle: RePEc:eee:energy:v:215:y:2021:i:pa:s0360544220321599
    DOI: 10.1016/j.energy.2020.119052
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    References listed on IDEAS

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    2. Ladenburg, Jacob & Skotte, Maria, 2022. "Heterogeneity in willingness to pay for the location of offshore wind power development: An application of the willingness to pay space model," Energy, Elsevier, vol. 241(C).

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