Engaging Youth Through Spatial Socio-Technical Storytelling, Participatory Gis, Agent-Based Modeling, Online Geogames and Action Projects

Poplin, Alenka; Shenk, Linda; Krejci, Caroline C.; Passe, Ulrike

doi:10.5194/isprs-annals-iv-4-w3-55-2017

Cited by 8 publications

(9 citation statements)

References 24 publications

(17 reference statements)

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“…Location data plays the role of a medium between virtual and physical layers of social and built environments. For instance, the Public Participatory Geographic Information System (PPGIS) is a userfriendly platform aiming at involving citizens in the collection of geographic data on a volunteer basis (Poplin et al, 2017). Yet, they remain primarily a tool for data collection through citizens (Nuojua, 2010, as cited in Ertiö, 2015, p. 304).…”

Section: Citizen Participation Applications Based On Location Datamentioning

confidence: 99%

A Framework for a Gameful Collective Urbanism Based on Tokenized Location Data and Liquid Democracy: Early Prototyping of a Case Study Using E-bikes

Tabi¹,

Sakata²,

Tùng³

et al. 2022

CAADRIA Proceedings

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The participation of citizens in designing their social and built environments is vital for the creation of sustainable cities and communities. However, in practice, collective decision-making remains challenging. Several researchers have proposed innovative models of governance to achieve a more democratic participation. This paper attempts to contribute to this topic from the viewpoint of urban planning. The objectives are twofold. First, to introduce a conceptual framework of a gameful collective process of urbanism based on location data. Second, to present an early stage of prototyping a case study using e-bikes. Research questions are elaborated as follows: How can collective processes of urban planning engage the collective intelligence and the local knowledge of the community? How to utilize technological tools to support new forms of participatory urban governance? The main contribution of this work lies in the combination of the concepts of temporal ownership of public space, tokenization of location data, and liquid democracy, to design a dynamic and gameful decision-making process that promotes collective intelligence.

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Section: Citizen Participation Applications Based On Location Datamentioning

confidence: 99%

A Framework for a Gameful Collective Urbanism Based on Tokenized Location Data and Liquid Democracy: Early Prototyping of a Case Study Using E-bikes

Tabi¹,

Sakata²,

Tùng³

et al. 2022

CAADRIA Proceedings

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Section: Citizen Participation Applications Based On Location Datamentioning

confidence: 99%

Proceedings of the 27th Conference on Computer Aided Architectural Design Research in Asia (CAADRIA) [Volume 1]

2022

CAADRIA Proceedings

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The work collected in these volumes has been produced during extraordinary circumstances, as the Covid-19 pandemic has continued to impact working and living conditions. Papers have been written, reviewed and edited throughout lockdowns, challenging family situations and health crises. The high number of submissions and quality of the papers is a testament to the resilience and strength of the CAADRIA community.The papers in this publication have been selected through a two-stage, doubleblind peer review process. All reviews and papers have been evaluated by the Paper Selection Committee. After receiving an initial 488 abstract submissions, a final set of 150 full papers has been selected for publication. We thank all authors for their contributions to the process and congratulate the accepted paper authors.The papers in these proceedings are specifically selected for their contribution to this year's conference theme, following the conference organisers' call for authors to position their work in relation to the United Nations Sustainable Development Goals (SDGs). As the world is experiencing the increasing impacts of climate change, there is an urgent need to reflect on the potential of the latest research in architecture, urbanism and construction to address these global challenges.Our special thanks go out to our more than 180 international reviewers, who volunteered their valuable time and effort. We also thank the organising team in Sydney for developing the 2022 CAADRIA Conference as a strong collaborative effort between academic institutions, industry and practice. We thank Gabriel Wurzer for his support during the proceedings' final production stage, and for facilitating their publication via the open access database CumInCAD.org. Finally, we sincerely thank the CAADRIA community for offering us the honour to serve as members of the paper selection committee for Post-Carbon, the 27 th International CAADRIA Conference 2022.

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“…Human behaviour data collection included the use of action projects and two versions of a survey administered either in person at community events (streamlined surveys) or in a neighbourhood-wide questionnaire sent via mail. To support local youths' interest in climate justice, the team created the Iowa State Community Growers programme as an action project in partnership with a local chapter of the Boys & Girls Club (Poplin et al 2017;Shenk et al 2019). Activities included creating a community garden, planting vegetables and developing winter-related weatherisation caulking instructions or summer shade give-aways as incentives for survey responses.…”

Section: Study Processmentioning

confidence: 99%

An urban modelling framework for climate resilience in low-resource neighbourhoods

Passe¹,

Dorneich²,

Krejci³

et al. 2020

Buildings and Cities

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Climate predictions indicate a strong likelihood of more frequent, intense heat events. Resourcevulnerable, low-income neighbourhood populations are likely to be strongly impacted by future climate change, especially with respect to an energy burden. In order to identify existing and new vulnerabilities to climate change, local authorities need to understand the dynamics of extreme heat events at the neighbourhood level, particularly to identify those people who are adversely affected. A new comprehensive framework is presented that integrates human and biophysical data: occupancy/behaviour, building energy use, future climate scenarios and near-building microclimate projections. The framework is used to create an urban energy model for a low-resource neighbourhood in Des Moines, Iowa, US. Data were integrated into urban modelling interface (umi) software simulations, based on detailed surveys of residents' practices, their buildings and near-building microclimates (tree canopy effects, etc.). The simulations predict annual and seasonal building energy use in response to different climate scenarios. Preliminary results, based on 50 simulation runs with different variable combinations, indicate the importance of using locally derived building occupant schedules and point toward increased summer cooling demand and increased vulnerability for parts of the population. Practice relevance To support planning responses to increased heat, local authorities need to ascertain which neighbourhoods will be negatively impacted in order to develop appropriate strategies. Localised data can provide good insights into the impacts of human decisions and climate variability in low-resource, vulnerable urban neighbourhoods. A new detailed modelling framework synthesises data on occupant-building interactions with present and future urban climate characteristics. This identifies the areas most vulnerable to extreme heat using future climate projections and community demographics. Cities can use this framework to support decisions and climate-adaptation responses, especially for low-resource neighbourhoods. Fine-grained and locally collected data influence the outcome of combined urban energy simulations that integrate human-building interactions and occupancy schedules as well as microclimate characteristics influenced by nearby vegetation.

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Engaging Youth Through Spatial Socio-Technical Storytelling, Participatory Gis, Agent-Based Modeling, Online Geogames and Action Projects

Cited by 8 publications

References 24 publications

A Framework for a Gameful Collective Urbanism Based on Tokenized Location Data and Liquid Democracy: Early Prototyping of a Case Study Using E-bikes

A Framework for a Gameful Collective Urbanism Based on Tokenized Location Data and Liquid Democracy: Early Prototyping of a Case Study Using E-bikes

Proceedings of the 27th Conference on Computer Aided Architectural Design Research in Asia (CAADRIA) [Volume 1]

An urban modelling framework for climate resilience in low-resource neighbourhoods

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