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Record W2966353205

SUSTAINABLE URBAN WATERFRONT REDEVELOPMENT : CHALLENGE AND KEY ISSUES

2017· article· en· W2966353205 on OpenAlexaboutno aff
Rochana Esti Pramesti

Bibliographic record

VenueMedia Matrasain · 2017
Typearticle
Languageen
FieldEngineering
TopicMaritime Ports and Logistics
Canadian institutionsnot available
Fundersnot available
KeywordsRedevelopmentEnvironmental planningUrban planningPlan (archaeology)Scope (computer science)BusinessSustainabilityCivil engineeringUrban designGeographyEngineeringComputer science
DOInot available

Abstract

fetched live from OpenAlex

Urban waterfronts as complex bioregions by nature and also socio-economical hubs by their history provide a real challenge for planning institutions in capturing and responding to the trends and dynamic of the development. In the perspective of being competitive, cities are exercising urban practises to attract investment and resources by rediscovering urban tradition and culture fundamental to build attractive urban identity. Tertiary industry including urban tourism is being developed in attractive and strategic places by revitalizing the city centre and the waterfronts. Understanding the challenge and key issues of urban waterfront redevelopment is crucial in the planning for sustainable future for the waterfront. This article descripts the challenge and issues found in the urban waterfront redevelopment; the problems that are integrally linked with the history of planning of the surrounding urban region, and the opportunity abound to be addressed as integral character of the city’s future growth. The approach to sustainable urban waterfront redevelopment differs from locale to locale, but the study cases show some challenge and key issues in the urban waterfront redevelopment are quite similar. Four cases of urban waterfront redevelopment plan located in Toronto Central Waterfront, Dalian Waterfront, Zanzibar’s Stone Town and Jakarta’s Waterfront are compared to understand the scope of the planning sector, the challenge characteristic to urban waterfront redevelopment, and the approach used in planning toward sustainable waterfront design. The objective of the case review is to find good examples of theory implementation : what are the destination of the future waterfronts, the planning approach and institutional and sectoral cooperations. The reason for choosing the cases is based on the difference of geographical location and culture, the difference approach and the possible difference of waterfront characteristic.  Zanzibar and Jakarta are located in developing countries and the two cases present a characteristic challenge; tackling urban problems including urban poverty as one of the main goals. Toronto and Dalian’s location in more developed world (Canada and China), provided some insight of difference and similarities with those in developing countries. The result shows that urban waterfront is indeed challenging environment where urban planning is constantly challenged by three pillar sectors; the economy, social and ecology. The evidence from case studies shows that major challenge found in the urban waterfront redevelopment should be addressed sustainably, requiring multi-sectoral and multi-scale institutional approach. Key issues and challenge in addressing urban waterfronts redevelopment include economic diversity, social identity, shifting land use made possible by urban policy, reconciling conflict of interests, local institutional capacity and the planning system and delivery mechanism implemented. Keywords : urban waterfront, sustainability, urban redevelopment, sustainable spatial planning

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)0.002
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: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.025
Threshold uncertainty score0.078

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0020.002
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.002
Science and technology studies0.0080.009
Scholarly communication0.0100.006
Open science0.0020.006
Research integrity0.0020.003
Insufficient payload (model declined to judge)0.0040.000

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 head0.216
Teacher spread0.203 · 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 designNot applicable
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

Citations12
Published2017
Admission routes1
Has abstractyes

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