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Record W4281628983 · doi:10.18280/ijsdp.170310

Towards Resilience: Energy Efficiency in Urban Communities - Case study of New Borg El Arab City in Alexandria, Egypt

2022· article· en· W4281628983 on OpenAlexvenueno aff
Riham A. Ragheb

Bibliographic record

VenueInternational Journal of Sustainable Development and Planning · 2022
Typearticle
Languageen
FieldEngineering
TopicInfrastructure Resilience and Vulnerability Analysis
Canadian institutionsnot available
Fundersnot available
KeywordsUrban resilienceResilience (materials science)Vulnerability (computing)Built environmentContext (archaeology)Analytic hierarchy processUrban planningOrder (exchange)Architectural engineeringEnvironmental resource managementEnvironmental planningCivil engineeringBusinessGeographyEngineeringComputer scienceEnvironmental scienceComputer securityOperations research

Abstract

fetched live from OpenAlex

Energy demands is one of the most important challenges for the future of urban communities and its built environment. Hence, the resilience of energy in urban communities is one of the effective concepts used to face the energy crisis fact due to the intensive consumption of energy. In this context, the paper is concerned with reviewing the previous literature for urban energy. resilience principles and energy-built environment frameworks by specialized international organizations and also studying the experiences of two top ranked international resilient cities. This paper proposes an energy resilient built environment conceptual framework in order to better recognize and examine the complicated problems of resilient and energy efficient urban communities. An analytical approach was applied for the current situation of New Borg El Arab City in Alexandria, Egypt using the proposed framework for measuring the resiliency level in the built environment, then applying an AHP method for determining the priorities of its built environment components, which need to be developed in order to achieve a resilient city. Thus, the overall goal is to provide a model to city planners and decision-makers that could enable them to plan for adaptable urban communities to be more resilient towards energy vulnerability.

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 distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.001
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.792
Threshold uncertainty score0.483

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

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 head0.013
GPT teacher head0.263
Teacher spread0.250 · 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 teacher head, 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".

Quick stats

Citations4
Published2022
Admission routes1
Has abstractyes

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