A transdisciplinary modeling framework for the participatory design of dynamic adaptive policy pathways

Michas, Serafeim; Stavrakas, Vassilis; Papadelis, Sotiris; Flamos, Alexandros

doi:10.1016/j.enpol.2020.111350

Cited by 34 publications

(16 citation statements)

References 57 publications

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“…We need other modes of validation to enhance the fABM accuracy. Of particular interest here are participatory approaches to ABM [ 29 , 53 , 54 ] where the impoverished communities in our study area take active part in model conceptualization and reflect on its current implementation, suggesting future improvements or pointing out existing deficiencies.…”

Section: Discussionmentioning

confidence: 99%

The dynamics of food shopping behavior: Exploring travel patterns in low-income Detroit neighborhoods experiencing extreme disinvestment using agent-based modeling

2020

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Only a handful of studies have leveraged agent-based models (ABMs) to examine public health outcomes and policy interventions associated with uneven urban food environments. While providing keen insights about the role of ABMs in studying urban food environments, these studies underutilize real-world data on individual behavior in their models. This study provides a unique contribution to the ABM and food access literature by utilizing survey data to develop an empirically-rich spatially-explicit ABM of food access. This model is used to simulate and scrutinize individual travel behavior associated with accessing food in low-income neighborhoods experiencing disinvestment in Detroit (Michigan), U.S. In particular, the relationship between trip frequencies, mode of travel, store choice, and distances traveled among individuals grouped into strata based on selected sociodemographic characteristics, including household income and age, is examined. Results reveal a diversified picture of not only how income and age shape food shopping travel but also the different thresholds of tolerance for non-motorized travel to stores. Younger and poorer population subgroups have a higher propensity to utilize non-motorized travel for shopping than older and wealthier subgroups. While all groups tend to travel considerable distances outside their immediate local food environment, different sociodemographic groups maintain unique spatial patterns of grocery-shopping behavior throughout the city and the suburbs. Overall, these results challenge foundational tenets in urban planning and design, regarding the specific characteristics necessary in the built environment to facilitate accessibility to urban amenities, such as grocery stores. In neighborhoods experiencing disinvestment, sociodemographic conditions play a more important role than the built environment in shaping food accessibility and ultimately travel behavior.

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Section: Discussionmentioning

confidence: 99%

The dynamics of food shopping behavior: Exploring travel patterns in low-income Detroit neighborhoods experiencing extreme disinvestment using agent-based modeling

2020

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“…Path dependency and lock‐in effects could be intrinsically considered when constructing adaptation pathways, or—as inspired by the significance of measuring flexibility in strategic planning (Rosenhead, 1980; Rosenhead et al, 1972)—explicitly quantified through the concept of “transfer costs” (Haasnoot et al, 2019). The adaptation pathways approach has been predominantly used in national and local scale IAMs in water and energy domains (de Ruig et al, 2019; Michas et al, 2020; Radhakrishnan et al, 2017).…”

Section: Recent Practices In Incorporating Justice In Model‐based Climate Planningmentioning

confidence: 99%

Enabling assessment of distributive justice through models for climate change planning: A review of recent advances and a research agenda

Jafino

Kwakkel

Taebi

2021

WIREs Climate Change

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Models for supporting climate adaptation and mitigation planning, mostly in the form of Integrated Assessment Models, are poorly equipped for aiding questions related to fairness of adaptation and mitigation strategies, because they often disregard distributional outcomes. When evaluating policies using such models, the costs and benefits are typically aggregated across all actors in the system, and over the entire planning horizon. While a policy may be beneficial when considering the aggregate outcome, it can be harmful to some people, somewhere, at some point in time. The practice of aggregating over all actors and over time thus gives rise to problems of justice; it could also exacerbate existing injustices. While the literature discusses some of these injustices in ad‐hoc and case specific manner, a systematic approach for considering distributive justice in model‐based climate change planning is lacking. This study aims to fill this gap by proposing 11 requirements that an Integrated Assessment Model should meet in order to enable the assessment of distributive justice in climate mitigation and adaptation policies. We derive the requirements from various ethical imperatives stemming from the theory of distributive justice. More specifically, we consider both intra‐generational (among people within one generation) and intergenerational (between generations) distributive justice. We investigate to what extent the 11 requirements are being met in recent model‐based climate planning studies, and highlight several directions for future research to advance the accounting for distributive justice in model‐based support for climate change planning. This article is categorized under: Climate, Nature, and Ethics > Climate Change and Global Justice

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“…Practical research projects and science funding agencies suggest that researchers and stakeholders (i.e., local experts, decisionmakers, civil society) should work together to co-create pathways for making progress in this complex space (5). Co-creation, also closely related to co-design (6), co-production (7), transdisciplinary collaboration (8), and post-normal science (9), aims to integrate science and policy and bridge divides between disciplines. Co-creation aims to generate viable pathways for addressing the complex emerging sustainability challenges and effectively influencing policymakers' decisions (4,7).…”

Section: Introductionmentioning

confidence: 99%

Evaluating participatory modelling methods for co-creating pathways to sustainability

Haan¹,

Hadjikakou²,

Malekpour³

et al. 2020

Preprint

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is a preprint and has been submitted for publication in Earth's Future. Please note that, the manuscript's status in the journal is currently 'contacting potential reviewers' for a peer-review process. It has yet to be accepted for publication. Subsequent versions of this manuscript may have slightly different content. If accepted, the final version of this manuscript will be available via the 'Peer-reviewed Publication DOI' link on the righthand side of this webpage. Please feel free to contact the corresponding author; we welcome feedback.

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A transdisciplinary modeling framework for the participatory design of dynamic adaptive policy pathways

Cited by 34 publications

References 57 publications

The dynamics of food shopping behavior: Exploring travel patterns in low-income Detroit neighborhoods experiencing extreme disinvestment using agent-based modeling

The dynamics of food shopping behavior: Exploring travel patterns in low-income Detroit neighborhoods experiencing extreme disinvestment using agent-based modeling

Enabling assessment of distributive justice through models for climate change planning: A review of recent advances and a research agenda

Evaluating participatory modelling methods for co-creating pathways to sustainability

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