Agent-Based Modeling for Urban Development Planning based on Human Needs. Conceptual Basis and Model Formulation

González-Méndez, Mauricio; Olaya, Camilo; Fasolino, Isidoro; Grimaldi, Michele; Obregón, Nelson

doi:10.1016/j.landusepol.2020.105110

Cited by 39 publications

(13 citation statements)

References 32 publications

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“…A more comprehensive setting is considered in the urban development planning model of González-Méndez et al (2021). Here, agents aim to satisfy the basic human needs described by Max-Neef (1991, see Table 1).…”

Section: Needs-based Modelsmentioning

confidence: 99%

A framework for agent-based models of human needs and ecological limits

Foramitti

2023

Ecological Economics

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Section: Needs-based Modelsmentioning

confidence: 99%

A framework for agent-based models of human needs and ecological limits

Foramitti

2023

Ecological Economics

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“…UGSs can be viewed as complex systems characterized by interactions and behaviours across multiple scales. Systems Thinking may capture how the multitude of influences interact on the use of UGS and explain undesirable effects of UGS programmes, e.g., [19]. This perspective suggests that micro-scale influences on the use of green areas and their effects in distant places and times may not be fully captured by decision-makers involved in urban greening strategies, including municipalities, urban planners and developers.…”

Section: Introductionmentioning

confidence: 99%

Understanding Urban Green Space Usage through Systems Thinking: A Case Study in Thamesmead, London

et al. 2022

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Urban green spaces provide environmental, economic, societal and health benefits to cities. However, policy and planning interventions aiming to improve usage have often led to unintended consequences, including, in some circumstances, an actual decline in usage. Previous research has identified factors influencing the use of urban green space, more often with a focus on the ‘quality’ and physical features of the space, rather than on the broader social factors. This study aims to unpack the complexity of factors that influence the use of urban green space through the application of Systems Thinking. A qualitative mixed-method approach integrating System Dynamics with rapid ethnography was adopted to elicit the views of local residents in Thamesmead, London. A thematic analysis of interviews was undertaken to systematically map the causal relations between factors, which were compared to wider stakeholders’ views. Our findings highlight the relevance of dynamics and social influences on the use of green space, which include social interactions and stewardship, health conditions, availability of services and amenities. These are factors that are underexplored in the literature and, sometimes, overlooked in urban green space policy by decision-makers. We infer that attendance of urban green spaces requires time, which may be occupied in other practices determined by local conditions and needs. Expanding the spatial and temporal boundaries of investigation, wider than debates on ‘quality’, should, in our view, increase the chances of identifying critical influences and foster an increased use of green space.

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“…The Multi-Agent System (MAS), which is rooted in Distributed Artificial Intelligent (DAI), has been considered for designing more flexible, distributed, and intelligent GDSS (Nachet and Adla, 2011). Even though researchers have widely used MAS for studying land-use change at the micro-level (see reviews by , Parker et al, 2003and Filatova et al, 2013 and assisting participatory land-use planning (Becu et al, 2008;González-Méndez et al, 2021), there is a paucity of studies on the different roles of multiple decision-makers involved in the Urban Land Use Planning (ULUP) process and, especially, the role of negotiation in this process (Long and Zhang, 2015). The first attempt at using MAS for supporting negotiation is the study of Ferrand (1996).…”

Section: Introductionmentioning

confidence: 99%