Are wildcard events on infrastructure systems opportunities for transformational change
Dados Bibliográficos
| ID | 9845121 |
|---|---|
| Autores | Claire Walsh (0000-0002-4047-1216, Newcastle University, autor correspondente), C L Walsh, G Glendinning (0000-0002-5012-0487, Newcastle University), S Glendinning, Vanesa Castán Broto (0000-0002-3175-9859, University College London), V Castán-Broto, Emma Dewberry (0000-0003-2647-7299, The Open University), M Powell (0000-0001-9945-5360, Newcastle University) |
| Ano | 2015 |
| Volume | 67 |
| Páginas | 1-10 |
| Data de publicação | 2015-03-01 |
| Peer Reviewed | Sim |
| Open Access | Sim |
| Tipo | ARTICLE |
| Periódico | Futures (JOURNAL) |
| Identificadores do periódico | ISSN: 0016-3287 • E-ISSN: 1873-6378 |
| Editora | Elsevier BV (PUBLISHER) |
| DOI | 10.1016/j.futures.2015.01.005 |
| OpenAlex | W2069677612 |
| Idioma | EN |
| Citações recebidas | 13 |
| Referências citadas | 28 |
Infrastructure systems face a number of pressing challenges relating to demographics, environment, finance and governance pressures. Furthermore, infrastructure mediates the way in which everyday lives are conducted; their form and function creating a persistence of unsustainable practice and behaviour that cannot be changed even if change is desired. There is a need to find means by which this obduracy can be broken so that new, more sustainable futures can be planned. This paper develops a methodology, taking concepts from both engineering and social science. Wild cards, or physical disruptions, are used to ‘destructively test’ complex infrastructure systems and the multi-level perspective is used as a framework for analysing the resulting data. This methodology was used to examine a number of case studies, and with focus groups consisting of a range of different infrastructure providers and managers, to gain a better understanding of systems’ socio-technical characteristics and behaviours. A number of impactful ‘intervention points’ emerged that offered the opportunity to promote radical changes towards configurations of infrastructure systems that provide for ‘less’ physical infrastructure. This paper also examines the utility of wild cards as enablers of transition to these ‘less’ configurations and demonstrates how a ‘wild card scenario’ can be used to co-design infrastructure adaptation from with both infrastructure providers and users
Adaptation (eye · Business · Computer security · Corporate governance · Critical infrastructure · Demographics · Function (biology · Futures contract · Intervention (counseling · Perspective (graphical · Public relations · Risk analysis (engineering · Sociology · Transformational leadership · Complex Systems and Decision Making · Computer Science · Finance · Infrastructure Resilience and Vulnerability Analysis · Sustainability and Climate Change Governance
Emergent transformation games
Measuring social resilience
Unshackling infrastructure strategy from Neolithic ideologies
Advancing a toolkit of diverse futures approaches for global environmental assessments
Participatory visioning for building disruptive future scenarios for transport and land use planning
Disruptions in strategic infrastructure planning – What do they mean for sustainable development
A proposal of a new foresight platform considering of sustainable development goals
Navigating amid uncertainty in spatial planning
Pathways
Federal financial resources for disaster mitigation and resilience in the U.S. water sector
Preparing for disruptions
Making heterogeneous infrastructure futures in and beyond the global south
Lines into the future. Exploring how Dutch infrastructure providers organize and manage their foresight processes
The dynamics of transitions in socio-technical systems
The current state of scenario development
The Delphi method
Preparing for Critical Infrastructure Breakdowns
Economic Action and Social Structure
Wild cards, weak signals and organisational improvisation
The Big Picture – trends, drivers, wild cards, discontinuities and weak signals
| Obras citantes distintas | 13 |
|---|---|
| Citações por ano | 1,3 |
| Intervalo de citações | 2016 - 2026 (11) |
| Velocidade de citação | current |
| Altamente citado | Não |
| Tipos de citação | Neutras: 12 |