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Record W4366959340 · doi:10.46692/9781529219067.015

Transnational Experiences of COVID-19: Transferable Lessons for Urban Planning Between the Global South and the Global North

2021· other· en· W4366959340 on OpenAlexaboutno aff
Shauna Brail, Michael C. Martin, Jagath Munasinghe, Rangajeewa Ratnayake, Julie Rudner

Bibliographic record

Venuenot available
Typeother
Languageen
FieldEconomics, Econometrics and Finance
TopicCOVID-19 Pandemic Impacts
Canadian institutionsnot available
Fundersnot available
KeywordsCoronavirus disease 2019 (COVID-19)Severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2)2019-20 coronavirus outbreakGeographyEnvironmental planningEconomic geographyRegional scienceVirologyBiologyMedicineOutbreak

Abstract

fetched live from OpenAlex

Introduction COVID-19 reveals that the equity dimension of planning, especially concerning the distribution of infrastructure, services, and amenities, is integral to urban resilience. While neoliberal approaches to economic and social life over the past 40 years have challenged this idea, the pandemic has helped planners to reassert the need for greater income equality and re-establish the effectiveness of coordinated and collectivized responses to disruptions. This chapter explores these issues by focusing on transferable lessons from the experiences of Aalborg, Colombo, Melbourne, and Toronto, and on how urban planners can help address a range of inequalities and inadequacies aggravated by the pandemic. These cities were selected to demonstrate how city size, political institutions, and level of economic development, along with location in different parts of the world, affected reactions to the pandemic. In this chapter, we review the experience of lockdown and phased reopening in each city-region over the first six months after the declaration of the pandemic in March 2020. We then consider the role of governance mechanisms and capacity in response to managing the devastating impacts of a public health crisis and associated economic, social, and spatial outcomes. By drawing upon examples from each city-region on resilient planning practice, we conclude by highlighting opportunities for mutual international learning in connection to pandemic and post-pandemic urban planning. Pandemic, lockdown, and reopening in four cities The four cities (and respective countries) experienced the pandemic and subsequent reopening of their economy in both shared and unique ways. Despite differences in overall population, density, and profile, all four territories recorded relatively low case fatalities and deaths as a percentage of population over the first wave of the pandemic (Table 14.1). Lockdowns of differing intensity occurred in all four territories, and each location has pursued gradual, phased reopening (Table 14.1). The four city-regions all closed borders, restricted international air travel, and imposed emergency measures to suppress, contain, and mitigate the disease. However, despite these ‘shared’ responses, differences in timing, effectiveness, and circumstances highlight important distinctions in the intraurban geographies of disease. They also reveal how responses across the four territories addressed underlying and emergent inequalities. Table 14.1 shows the diverse ways in which emergency measures were implemented in each context. Corroborating Bailey et al (2020), the outbreak was spatially uneven within cities, regions, and countries, as well as between countries.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.004
metaresearch head score (Gemma)0.002
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: Qualitative
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.066
Threshold uncertainty score0.131

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0040.002
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.002
Science and technology studies0.0160.023
Scholarly communication0.0070.005
Open science0.0010.018
Research integrity0.0020.005
Insufficient payload (model declined to judge)0.0070.000

Machine scores (provisional)

The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

Opus teacher head0.085
GPT teacher head0.316
Teacher spread0.231 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designQualitative
Domainnot available
GenreEmpirical

How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".

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Citations0
Published2021
Admission routes1
Has abstractyes

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