Facilitating spatial consensus in complex future scenarios through Real‐Time Spatial Delphi: A novel web‐based open platform

PurposeThis paper seeks to establish design quality indicators (DQIs) that can be utilized for assessing the design of community centers, with an emphasis on the technical, functional, and behavioral performance domains.Design/methodology/approachA comprehensive literature review resulted in identifying 79 DQIs for community centers. A three round Delphi evaluation approach was utilized to rate the importance of the DQIs through their relative importance index (RII) values. The assessment of the DQIs involved a diverse group of stakeholders including facilities managers, architects/engineers (A/Es), community centers’ staff, and regular visitors of community centers.FindingsThe majority of the established DQIs were considered to be either “Very Important” or “Important”.Practical implicationsThe established DQIs can be utilized to identify best practices in the design of community centers and benchmark the performance of different community centers.Originality/valueThe design quality of community centers could significantly impact the community's quality of life and user experience. The development of DQIs provides for enhanced accountability and improved service delivery for the communities they serve. This enables community centers to be more effective, efficient, and responsive to the needs of the users they support.

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Exploring hybrid models for identifying locations for active mobility pathways using real-time spatial Delphi and GANs

Calleo,

Giuffrida,

Pilla

2024

Eur. Transp. Res. Rev.

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The spatial planning process is considered an extremely complex system, as it comprises different variables that interrelate and interact with each other. Effectively addressing this spatial complexity necessitates a multidisciplinary approach, as unified methodologies may prove insufficient. Specifically, in urban planning, it is increasingly crucial to prioritize bike lanes, bike stations, and pedestrian zones, for functional transportation infrastructures. This approach can enhance cities by improving air quality, reducing emissions, and boosting public health and safety through physical activity and accident prevention. However, implementing these changes requires careful planning, community engagement, and stakeholder collaboration. This paper proposes a hybrid model for identifying optimal locations for bike lanes, bike stations, and pedestrian zones adopting Real-Time Spatial Delphi and Generative Adversarial Networks (GANs). The Real-Time Spatial Delphi is a modified version of the traditional Delphi method that incorporates real-time feedback and visualization of group response in real-time, aiming to achieve a convergence of opinions among experts on the territory. Nevertheless, these judgments are a spatial representation not visible in reality, and with the spread of artificial intelligence models, different implementations can support the planning process, such as the use of GANs. In this case, GANs can be exploited by adopting pre-existing location images resulting from experts’ judgments to illustrate the proposed intervention’s visual impact. To demonstrate the effectiveness of our hybrid model, we apply it to the city of Dublin. The results showcased how the method helps stakeholders, policymakers, and citizens in visualizing the proposed changes and gauging their potential impact with greater precision.

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Facilitating spatial consensus in complex future scenarios through Real‐Time Spatial Delphi: A novel web‐based open platform

Cited by 5 publications

References 62 publications

Digital twins for freight planning

Digital twins for freight planning

Stakeholder assessment of design quality indicators for community centers: a Delphi approach

Exploring hybrid models for identifying locations for active mobility pathways using real-time spatial Delphi and GANs

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