Smart City Governance and Citizen Engagement

Title

Smart City Governance and Citizen Engagement

Creator

Jaiwant S.V.; Dheepa T.; Haridasan A.

Description

The smart city idea has been put into practice in numerous nations as a response to urban issues. With the ultimate goal of improving quality of life and well-being, smart cities are more and more eager to engage in fruitful dialogue with their residents, better understand their demands, and develop digital platforms for inciting collaborative initiatives between authorities and people. Prior researches have noted challenges with execution and the importance of smart citizens as key components of a smart city. Using an internet-based social platform, this project intends to learn more about how smart cities are implemented and how citizens are involved. Smart city development should be modified to account for local conditions. Local expertise, transformative leadership, sustainability, and political content are the key success criteria for the implementation. Through an online social network, city residents have been participating in the implementation of the smart city. In order to make sure that city citizens are motivated to address the citys challenges, a sort of incentive structure remains necessary. Previous research efforts were conducted in an effort to measure the projects effectiveness by achieving benefits. The people of that country are the end users of public infrastructure projects. Nevertheless, communities all throughout the world have struggled to achieve genuine citizen engagement. This component of citizen engagement has been highlighted as a crucial goal to be accomplished. This chapter examines the role of AI in citizen engagement and participation in the smart city implementation. The chapter also intends to analyse the relevant research works to examine the trends in smart city governance and AI. This study will provide also insights into emerging issues and challenges. 2025 selection and editorial matter Pawan Whig, Pavika Sharma, Nagender Aneja, Ahmed A. Elngar and Nuno Silva; individual chapters, the contributors.

Source

Artificial Intelligence and Machine Learning for Sustainable Development: Innovations, Challenges, and Applications, pp. 112-124.

Date

2024-01-01

Publisher

CRC Press

Coverage

Jaiwant S.V., CHRIST (Deemed to be University), Bengaluru, India; Dheepa T., CHRIST (Deemed to be University), Bengaluru, India; Haridasan A., CHRIST (Deemed to be University), Bengaluru, India

Rights

Restricted Access

Relation

ISBN: 978-104022877-7; 978-103277835-8

Format

Online

Language

English

Type

Book chapter

Identifier

https://doi.org/10.1201/9781003497189-9

https://www.scopus.com/inward/record.uri?eid=2-s2.0-85210828966&doi=10.1201%2f9781003497189-9&partnerID=40&md5=ab317b574102bd12b633928b863c588b