Effectiveness of Open-Source Solutions for Limited Scale Interventions Planning

Kavouras, Ioannis; Sardis, Emmanuel; Protopapadakis, Eftychios; Doulamis, Anastasios

doi:10.1007/978-3-031-17601-2_11

Cited by 3 publications

(2 citation statements)

References 9 publications

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“…The work of Kavouras et al [33] describes an architectural planning methodology dependent on game engines and 3D software and tools. A digital twin model of an existing warehouse was created using photogrammetry, which in a second phase was imported to a game engine.…”

Section: Related Workmentioning

confidence: 99%

“…Planning and Participation [14,[16][17][18][19][20][21]23,[33][34][35][36][37][38][39][40] Gamification of the urban planning process can enhance the participation of the general public in the planning process. Additionally, the interactive environment provided by the game platform makes the urban planning problem more understandable than other approaches.…”

Section: Gamified Urbanmentioning

confidence: 99%

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A Low-Cost Gamified Urban Planning Methodology Enhanced with Co-Creation and Participatory Approaches

et al. 2023

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Targeted nature-based small-scale interventions is an approach commonly adopted by urban developers. The public acceptance of their implementation could be improved by participation, emphasizing residents or shopkeepers located close to the areas of interest. In this work, we propose a methodology that combines 3D technology, based on open data sources, user-generated content, 3D software and game engines for both minimizing the time and cost of the whole planning process and enhancing citizen participation. The proposed schemes are demonstrated in Piraeus (Greece) and Gladsaxe (Denmark). The core findings can be summarized as follows: (a) the time and cost are minimized by using online databases, (b) the gamification of the planning process enhances the decision making process and (c) the interactivity provided by the game engine inspired the participation of non-experts in the planning process (co-creation and co-evaluation), which decentralizes and democratizes the final planning solution.

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Section: Related Workmentioning

confidence: 99%

Section: Gamified Urbanmentioning

confidence: 99%

A Low-Cost Gamified Urban Planning Methodology Enhanced with Co-Creation and Participatory Approaches

et al. 2023

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Designing and Implementing a Multifunctional Network of Urban Green Infrastructures.

Stefano,

Balestra,

Choudhury

et al. 2023

2023 IEEE International Workshop on Metrology for Agriculture and Forestry (MetroAgriFor)

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A Dilemma-Based Learning-to-Rank Approach for Generative Design in Urban Architectural Regeneration

Kavouras,

Rallis,

Zouli

et al. 2024

Algorithms

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Continuous urbanization and climate change degrade urban living conditions. Nature-based solutions in architectural and urban design offer promising remedies but are often hindered by time, cost, and early design phase challenges. To address this, we present a Generative Design System framework utilizing AI-generated images and learning-to-rank algorithms. This system generates numerous image solutions to inspire architects and urban planners, significantly accelerating early design stages. To manage the overwhelming volume of images, we introduce a dilemma-based learning approach that employs learning-to-rank and smart bubble sorting algorithms to prioritize images based on user preference. A case study demonstrates the framework’s potential, providing valuable insights into its application, benefits, and limitations in urban design.

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Effectiveness of Open-Source Solutions for Limited Scale Interventions Planning

Cited by 3 publications

References 9 publications

A Low-Cost Gamified Urban Planning Methodology Enhanced with Co-Creation and Participatory Approaches

A Low-Cost Gamified Urban Planning Methodology Enhanced with Co-Creation and Participatory Approaches

Designing and Implementing a Multifunctional Network of Urban Green Infrastructures.

A Dilemma-Based Learning-to-Rank Approach for Generative Design in Urban Architectural Regeneration

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