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| Urban Resilience Assessment× | Smart City Index× | |
|---|---|---|
| Field | Urban Studies | Urban Studies |
| Family | Process / pipeline | Process / pipeline |
| Year of origin≠ | 2016 | 2011 |
| Originator≠ | Resilience-theory and urban-planning scholarship (synthesised by Meerow, Newell & Stults) | Giffinger et al. (smart-city dimensions); Caragliu, Del Bo & Nijkamp (smart-city concept) |
| Type≠ | Framework or composite index assessing a city's capacity to absorb and adapt to disturbance | Composite index aggregating indicators across smart-city dimensions |
| Seminal source≠ | Meerow, S., Newell, J. P., & Stults, M. (2016). Defining urban resilience: A review. Landscape and Urban Planning, 147, 38–49. DOI ↗ | Caragliu, A., Del Bo, C., & Nijkamp, P. (2011). Smart cities in Europe. Journal of Urban Technology, 18(2), 65–82. DOI ↗ |
| Aliases | City Resilience Index, Urban Resilience Framework, Resilience Capacity Assessment, Disaster Resilience of Place | Smart City Ranking, Cities in Motion Index, Smart-City Composite Indicator, Smart City Performance Index |
| Related | 4 | 4 |
| Summary≠ | Urban resilience assessment evaluates how well a city can absorb, adapt to, and recover from shocks such as floods, earthquakes and pandemics and from chronic stresses such as poverty and ageing infrastructure. Most assessments are framework-driven composite indices: they define resilience dimensions — infrastructural, social, economic, ecological and institutional — gather indicators for each, normalise and weight them, and aggregate to a resilience score or profile. Because, as Meerow, Newell and Stults documented, 'urban resilience' is defined in conflicting ways across the literature, every assessment must first take a position on what resilience means, for whom, and against which disturbances. | A smart city index is a composite indicator that scores and ranks cities on how 'smart' they are across several dimensions — typically economy, people, governance, mobility, environment and living. Each dimension gathers many raw indicators that are normalised onto a common scale, weighted, and aggregated first into dimension scores and then into a single overall number. Prominent examples such as the European smart-cities ranking of Giffinger and colleagues and the IESE Cities in Motion Index made this six-axis framing standard, turning a sprawling, contested concept into a benchmark cities can be compared on. |
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