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Assessing Preferences for Attributes of City Information Points: Results from a Choice Experiment

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Smart and Sustainable Planning for Cities and Regions (SSPCR 2017)

Abstract

A choice experiment has been carried out to assess the preferred attributes of information points (called totems) to be installed in the city of Bolzano. Totems allow the acquisition, exchange and query of data in real time, as well as provide other services such as electricity or water supply. These infrastructures could be useful for both inhabitants and tourists in need of parking spaces, information about events or charging stations for vehicles. To design them in a cost-effective way, it is important to understand potential users’ preferences. For this reason, field surveys using stated preferences are important sources of information to tailor these totem effectively. In order to facilitate the interpretation of results for policy making, estimations are carried out in willingness-to-pay space and by means of a random parameters logit model. Results indicate that the preferred attributes are the presence of Wi-Fi “hot spots”, charging stations for electric cars and bikes and real-time information about available car parks.

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Acknowledgements

The project leading to these results is SINFONIA (http://www.sinfonia-smartcities.eu/), which has received funding from the European Union’s Seventh Programme for research, technological development and demonstration under grant agreement No. 609019. The European Union is not liable for any use that may be made of the information contained in this document, which merely represents the authors’ view. Many thanks to the Municipality of Bolzano for helping us in collecting data and providing useful comments.

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Correspondence to Gianluca Grilli .

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Grilli, G., Tomasi, S., Bisello, A. (2018). Assessing Preferences for Attributes of City Information Points: Results from a Choice Experiment. In: Bisello, A., Vettorato, D., Laconte, P., Costa, S. (eds) Smart and Sustainable Planning for Cities and Regions. SSPCR 2017. Green Energy and Technology. Springer, Cham. https://doi.org/10.1007/978-3-319-75774-2_14

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  • DOI: https://doi.org/10.1007/978-3-319-75774-2_14

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