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

International Journal of Disaster Risk Reduction, Год журнала: 2022, Номер 85, С. 103400 - 103400

Опубликована: Дек. 29, 2022

In this Special Issue introductory paper, we present the Tomorrow's Cities Decision Support Environment (TCDSE). As negative impacts of natural hazards continue to escalate around world due increasing populations, climate change, and rapid urbanisation (among other factors processes), there is an urgent requirement develop structured operational approaches towards multi-hazard risk-informed decision making on urban planning design. This a particularly pressing issue for low-to-middle income countries, which are set be impacted ever more disproportionately during future natural-hazard events if "business as usual" urban-development approach continues unabated. Urban poor residents these countries will significantly suffer under risk-insensitive development trajectories. The proposed TCDSE addresses crucial challenge. It facilitates participatory, people-centred making, using state-of-the-art procedures physics-based hazard engineering impact modelling, integrating physical social vulnerability in unified framework, expressing consequences disasters across array stakeholder-weighted metrics that facilitate democratisation risk concept. purpose paper provide detailed description each component TCDSE, characterising related data inflows outflows between modules. We conclude with short end-to-end demonstration Tomorrowville virtual testbed. Individual components further dealt detail within subsequent papers Issue.

Язык: Английский

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Normative future visioning: a critical pedagogy for transformative adaptation

Buildings and Cities, Год журнала: 2024, Номер 5(1), С. 83 - 100

Опубликована: Янв. 1, 2024

Normative future visioning (NFV) offers a critical approach that can respond to the challenges of transformative adaptation. In context climate crisis, an understanding diversity desired end-states and pathways for good urban futures is fundamental fostering cooperation inspiring purposeful action challenge transform unsustainable processes behaviours, researching these processes. This paper contributes adaptation resilient development by conceptualising NFV as pedagogy. framing understands collective learning experience lead emancipation action. A novel Encounter–Change Framework proposed general mechanism evaluating methods. The framework tested through Tomorrow's Cities project across its deployment in nine cities: Quito, Istanbul, Nairobi, Kathmandu, Rapti, Nablus, Dar es Salaam, Cox's Bazar Chattogram. General lessons highlight importance evaluation analysing both methodological detail positioning within wider policy planning Detailed empirical findings reveal key emerge from practice – related time, ethics, co-production, diversity, consensus, equity authorship. These inform other participatory experiences aim at transformation. Policy relevance Transformative has proven difficult implement cities. It promises changes socio-technological systems so doing raises concerns populations generations, particularly those more vulnerable equity-deprived. puts forward one way beyond this impasse supports practices are future- transformation-oriented: Framework. By drawing on themes insights (urban) pedagogies (encounters, connections, change), evaluate practical experiences. results emphasise two lines innovation policy: a) unpacking process perspective power increase chances impact b) NFV, relation approaches questions part strategies.

Язык: Английский

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Exploring the Effectiveness of Social Media on Tourism Destination Marketing: An Empirical Study in a Developing Country

WSEAS TRANSACTIONS ON BUSINESS AND ECONOMICS, Год журнала: 2024, Номер 21, С. 1392 - 1408

Опубликована: Май 31, 2024

More than 3.049 billion monthly active social media (Facebook) users are engaging in sharing content, views, surfing, and bridging their friends family. Web 3.0 is a buzzword now That going to ensure the decentralization of information, blockchain technology, data security, privacy, individual control over private data. The world’s scenery has been changed through invention internet landscape same way this century. Social revolutionized companies convey assortment products services prospective customers. It become catalyst for changing decisions users. enabled every little firm large conglomerate pinpoint niche customer segment reach them effectively with various techniques. observed that influencers have noteworthy robust correlation (i.e., 73%) contribute most travelers’ travel decision-making, indicating least reliability (28% correlation). study shows R square value 0.88 adjusted 0.88, decision-making 88% shaped by influencers. Therefore, boom also facilitated people communicate each other, especially when they seek recommendations purchasing something or availing service. provides platform both consumers businesses two-way communication where parties can interact on real-time basis without incurring much expense. brought lot tourist destinations closer tourists situated remote part country place quite untouched groups. allows destination organizations like sites, parks, hotels, amusement centers conveniently publish multimedia content involving blog posts, images, videos, interactive games attract visitors these destinations. marketing information profiles, behaviors, perceptions manager. influences groups making choosing destination, time travel, package might want avail of. In research paper, we identified four stimuli shown tourists’ decision-making. it more 80% time, positive influence about tour itinerary. opened horizon decentralized communications among all world. People easily find as looking meet demands.

Язык: Английский

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A predictive model for household displacement duration after disasters

Risk Analysis, Год журнала: 2025, Номер unknown

Опубликована: Фев. 25, 2025

Abstract According to recent Household Pulse Survey data, roughly 1.1% of households were displaced due disasters in the United States years. Although most returned relatively quickly, 20% for longer than 1 month, and 14% had not by time survey. Protracted displacement creates enormous hardships affected communities, yet few disaster risk analyses account component displacement. Here, we propose predictive models household duration return practical integration within analyses, ranging complexity power. Two classification tree are proposed predict outcomes with a minimum number predictors: one that considers only physical factors (TreeP) another also socioeconomic (TreeP&S). A random forest model is (ForestP&S), improving model's power highlighting drivers outcomes. The results ForestP&S highlight importance both (e.g., property damage unsanitary conditions) tenure status income per member) on These can be integrated as illustrated through hurricane scenario analysis Atlantic City, NJ. By integrating capture human impact more holistically evaluate mitigation strategies aimed at reducing risk.

Язык: Английский

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Comparative analysis of different machine learning algorithms for urban footprint extraction in diverse urban contexts using high-resolution remote sensing imagery

Journal of Geographical Sciences, Год журнала: 2025, Номер unknown

Опубликована: Март 8, 2025

Язык: Английский

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Should I stay or should I go? Leveraging data‐driven approaches to explore the effect of various disaster policies on postearthquake household relocation decision‐making

Risk Analysis, Год журнала: 2025, Номер unknown

Опубликована: Март 11, 2025

Abstract Devastating earthquakes can cause affected households to relocate. Postearthquake relocation disrupts impacted households' social ties and, in some instances, their access affordable services. Simulation‐based approaches that model postearthquake decision‐making be valuable tools for supporting the development of related disaster risk reduction (DRR) policies. Yet, existing versions these models focus particularly on housing‐related factors, which are not sole driver relocation. We integrate data‐driven and local data account household within an simulation‐based framework policy‐related risk‐sensitive decision support future urban development. use survey 2015 Gorkha Nepal develop a random forest estimates inclination disaster‐affected households. The developed holistically captures various context‐specific factors important decision‐making. leverage quantitatively assess effectiveness DRR policies reducing positive inclination, with explicit low‐income demonstrate it using “Tomorrowville,” hypothetical expanding extent reflects physical characteristics Kathmandu, Nepal. Our analyses suggest provision livelihood assistance funds is more successful when comes mitigating than hard focused strengthening buildings (at least context examined case study). They also viable pro‐poor pathways impacts without need create potentially politically sensitive income‐based restrictions policy remits.

Язык: Английский

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High-resolution multi-hazard residential buildings and population exposure model for coastal areas: a case study in northeastern Italy

International Journal of Disaster Risk Reduction, Год журнала: 2025, Номер unknown, С. 105403 - 105403

Опубликована: Март 1, 2025

Язык: Английский

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Land-use Analysis Using Infrastructure Representations and High-resolution Flood Inundation Mapping Techniques

International Journal of Disaster Risk Reduction, Год журнала: 2025, Номер unknown, С. 105518 - 105518

Опубликована: Апрель 1, 2025

Язык: Английский

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

International Journal of Disaster Risk Reduction, Год журнала: 2022, Номер 85, С. 103481 - 103481

Опубликована: Дек. 16, 2022

The concept of disaster risk is cross-disciplinary by nature and reducing has become interest for various disciplines. Yet, moving from a collection multiple disciplinary perspectives to integrated interdisciplinary approaches remains fundamental challenge. This paper reflects on the experience group early-career researchers spanning physical scientists, engineers social scientists different organisations across global North South who came together lead refinement, operationalisation testing risk-informed decision support environment Tomorrow's Cities (TCDSE). Drawing notions subjects boundary objects, members reflect their individual collective journey transgressing boundaries three case studies between June–December 2021: process TCDSE; development virtual urban testbed as demonstration implementation consolidation frequently asked questions about TCDSE communication purposes. argues that (1) production objects in research nurtures relations reciprocal recognition emergence subjects; (2) intrinsic characteristics define norms engagement constrain expression contradictions; (3) affects operations power explain contingent settlement disagreements new knowledge. Activating capacities disciplines geographies step towards transforming siloed practices reduce risk.

Язык: Английский

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Modelling national residential building exposure to flooding hazards

International Journal of Disaster Risk Reduction, Год журнала: 2023, Номер 94, С. 103826 - 103826

Опубликована: Июль 1, 2023

Язык: Английский

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