Abstract
The problem of finding parking slots imposes both societal and infrastructural issues in modern cities. It is a daily hurdle that affects millions of people, but existing approaches fail to solve this conundrum. Thus, there is an urgent demand for reputable, motivated, and replicable solutions that can be used by cities of any size. We are proposing an experiment to analyse the interplay between incentive mechanisms, user participation, and the truthfulness of reports. For that, we are developing the “wePark application” based on concepts of crowd sourcing and social regulation. As a differential, we are examining alternative methods to motivate adoption, such as reciprocity, reputation, altruism, and money. In this paper, we analyse the requirements of the solution, propose a development test bed, and an experimental environment for this study.
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Acknowledgements
Andrew Koster is supported by CAPES (PNPD) and Ana Bazzan is partially supported by CNPq. Dr Koch was a Research Scientist with IBM Research Brazil when this study was first designed, thus we applied concepts provided by IBM Research.
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Koster, A., Koch, F., Bazzan, A.L.C. (2014). Incentivising Crowdsourced Parking Solutions. In: Nin, J., Villatoro, D. (eds) Citizen in Sensor Networks. CitiSens 2013. Lecture Notes in Computer Science(), vol 8313. Springer, Cham. https://doi.org/10.1007/978-3-319-04178-0_4
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DOI: https://doi.org/10.1007/978-3-319-04178-0_4
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