Crowdsourced Project Selection in Tourist Spots with Voting in Smart Cities

Sanyal, Surja; Mukhopadhyay, Sajal; Xhafa Xhafa, Fatos; Mukhopadhyay, JAYA

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Sanyal, Surja

Mukhopadhyay, Sajal

Xhafa Xhafa, Fatos

Mukhopadhyay, JAYA

Document typeConference report

Defense date2024

PublisherSpringer

Rights accessRestricted access - publisher's policy (embargoed until 2026-01-31)

All rights reserved. This work is protected by the corresponding intellectual and industrial property rights. Without prejudice to any existing legal exemptions, reproduction, distribution, public communication or transformation of this work are prohibited without permission of the copyright holder

Abstract

The tourism industry is a valuable sector generating major income for nations. The local Government of a tourist spot may undertake several projects to be implemented for the benefit of tourism in that place. Currently, the authority of the local Government, involving their ministers, decides which projects are to be undertaken. Alternatively, the local Government may involve, in a crowdsourced (crowdsourcing can be implemented with smart devices such as mobile devices also) manner with the technological support of smart cities, the local residents and the tourists in this process, leading to a more transparent and more engaging selection of projects. In this paper, a strategyproof, Pareto optimal, and scalable mechanism is provided to gather the preferences of the tourists, the residents and the ministers (with tunable weight parameters) for their most preferable choices of projects in the tourist spot and selecting the projects in such a manner so that the total cost of the selected projects is within the available budget

CitationSanyal, S. [et al.]. Crowdsourced Project Selection in Tourist Spots with Voting in Smart Cities. A: Decision Science Alliance International Summer Conference. "Decision Sciences: Second Decision Science Alliance International Summer Conference, DSA ISC 2024, Valencia, Spain, June 6–7, 2024, Proceedings, Part II". Springer, 2024, p. 1-15. ISBN 978-3-031-78240-4.

Is part ofLecture Notes in Computer Science (LNCS, volume 14779)

URIhttp://hdl.handle.net/2117/423622

ISBN978-3-031-78240-4

Publisher versionhttps://link.springer.com/book/9783031782404

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