A state-of-the-art decision-support environment for risk-sensitive and pro-poor urban planning and design in Tomorrow's cities

Cremen, Gemma; Galasso, Carmine; McCloskey, John; Barcena, Alejandro; Creed, Maggie; Filippi, María Evangelina; Gentile, Roberto; Jenkins, Luke; Kalaycıoğlu, Mehmet; Menteşe, Emin Yahya; Muthusamy, Manoranjan; Tarbali, Karim; Trogrlić, Robert Šakić

doi:10.1016/j.ijdrr.2022.103400

Cited by 35 publications

(16 citation statements)

References 35 publications

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“…We leverage the Tomorrow's Cities Decision Support Environment [20] to propose a framework for designing and quantitatively assessing compulsory, seismic-risk-related, people-centred, household-level financial soft policies for expanding cities. This framework explicitly focuses on the disproportionate financial burdens often imposed on low-income people as a result of earthquake disasters, using novel impact metrics that distinguish losses on the basis of pertinent socioeconomic information.…”

Section: Discussionmentioning

confidence: 99%

“…We leverage the Tomorrow's Cities Decision Support Environment [20] to propose a framework for facilitating the design and assessment of compulsory household-level financial soft policies in cities under future urban expansion. The framework, as shown in Fig.…”

Section: Proposed Frameworkmentioning

confidence: 99%

“…This study contributes towards addressing the aforementioned shortcomings of conventional earthquake-risk-related financial soft policies, using the Tomorrow's Cities Decision Support Environment (TCDSE) [20]. The TCDSE supports decision making in a collaborative environment, in which various decision makers, local communities, and experts are involved from the outset in risk-based, pro-poor urban design and planning [21].…”

Section: Introductionmentioning

confidence: 99%

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Design and assessment of pro-poor financial soft policies for expanding cities

Wang

Cremen

Gentile

et al. 2023

International Journal of Disaster Risk Reduction

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Section: Discussionmentioning

confidence: 99%

Section: Proposed Frameworkmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

See 1 more Smart Citation

Design and assessment of pro-poor financial soft policies for expanding cities

Wang

Cremen

Gentile

et al. 2023

International Journal of Disaster Risk Reduction

Self Cite

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“…The TCDSE framework is underpinned by state-of-the-art physics-based simulations of multiple hazards [80], physical vulnerability models [81], innovative methods for harmonising data generation and analysis across the physical and social sciences [82] and rigorous capacity-strengthening strategies. For a detailed description of the TCDSE framework, see Cremen et al [83].…”

Section: Case Study 1: Tcdse Operationalisation (June-december 2021)mentioning

confidence: 99%

“…Together with the TCDSE conceptual diagram, we collectively, interactively and iteratively co-produced an online document containing the definition and characterisation of each of the modules and their relations, which was transformed into a journal publication [83].…”

Section: Case Study 1: Tcdse Operationalisation (June-december 2021)mentioning

confidence: 99%

Interdisciplinarity in practice: Reflections from early-career researchers developing a risk-informed decision support environment for Tomorrow's cities

Filippi

Barcena

Trogrlić

et al. 2023

International Journal of Disaster Risk Reduction

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Rainstorm and high‐temperature disaster risk assessment of territorial space in Beijing, China

Cheng

Fang

et al. 2023

Meteorological Applications

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It is important for territorial spatial planning to master meteorological disaster risk under the conditions of climate change and then carry out risk adaptation planning according to local conditions. Taking Beijing, a large city in China, as an example, a meteorological disaster risk assessment model was established based on the framework of hazard factors, disaster‐bearing body exposure, and vulnerability of underlying surface. Combined with 11 years of observation data from 293 high‐density weather stations, the rainstorm and high‐temperature risks of urban, agriculture, and ecological spaces were studied. The results show that (1) rainstorms and high‐temperature are mainly distributed in the built‐up areas of plain towns, which are the climate risk factors that need to be considered. (2) The central city of Beijing is at a high risk of rainstorms and high temperature, indicating that the underlying surface and disaster‐bearing body are highly vulnerable to meteorological disasters. (3) In suburbs with agricultural land, there is a certain rainstorm risk in Fangshan and Daxing districts, and a risk of high temperatures in the southern part of Tongzhou and Daxing. (4) The risk of high temperatures in the ecological space (eco‐zone) is relatively low, but the rainstorm risk is relatively high in Pinggu and Miyun. (5) The strategies of coping with rainstorm and high‐temperature disaster risk in Beijing's territorial space planning were discussed.

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A state-of-the-art decision-support environment for risk-sensitive and pro-poor urban planning and design in Tomorrow's cities

Cited by 35 publications

References 35 publications

Design and assessment of pro-poor financial soft policies for expanding cities

Design and assessment of pro-poor financial soft policies for expanding cities

Interdisciplinarity in practice: Reflections from early-career researchers developing a risk-informed decision support environment for Tomorrow's cities

Rainstorm and high‐temperature disaster risk assessment of territorial space in Beijing, China

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