Discover Sustainability· 2026Q1
Modeling the drivers of citizen engagement and participatory planning
- 0citations
- Q1SCImago
- 2026year
Short summary
A new model using Interpretive Structural Modeling (ISM) identifies key drivers for effective citizen engagement and participatory planning in smart cities.
AI-generated from the title and abstract; the full text is not read.
Key points
- Proposes a model for effective citizen engagement and participatory planning in smart cities.
- Utilizes Interpretive Structural Modeling (ISM) to identify key driving variables.
- Examines case studies and best practices for citizen involvement.
- Discusses the role of technology (IoT, digital tools) in empowering citizens for collaborative decision-making.
AI-generated from the title and abstract; the full text is not read.
Abstract
This paper delves into the fundamental concepts of citizen engagement and participatory planning and will provide a comprehensive understanding and their significance in the context of smart cities development. By involving citizens in the development process, city authorities can gain constructive insights, address local issues, and collaborative development projects with the aspirations and demands of their citizens. In this context, the paper elucidates key drivers that can aid citizen engagement and participatory planning in smart cities planning and development. Moreover, the paper also proposes a model for effective citizen engagement and participatory planning. Interpretive Structural Modeling (ISM) is applied in this study to explore the variables driving effective citizen engagement and participatory planning. The paper also examines various successful case studies and best practices to draw some approaches and models for effective citizen engagement and participatory planning. Further the paper discusses the role of technology, digital tools and internet of things (IOT) in empowering citizens for collaborative decision making between city officials and citizens. It also highlights the benefits and challenges associated with these practices, highlighting the potential for improved governance.
The authors' abstract, as published at the source. Discover Sustainability, 2026 · DOI ↗
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Field: Geography, Planning and Development
Geography, Planning and DevelopmentSocial Sciences