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Record W2411585054 · doi:10.14288/1.0104073

Investigation of cost-benefit analysis as a tool in the evaluation of urban plans

2011· article· en· W2411585054 on OpenAlexaboutno aff
Anil Kanti Barua

Bibliographic record

VenuecIRcle (University of British Columbia) · 2011
Typearticle
Languageen
FieldEnvironmental Science
TopicUrban Planning and Valuation
Canadian institutionsnot available
Fundersnot available
KeywordsComputer scienceRisk analysis (engineering)Business

Abstract

fetched live from OpenAlex

The focus of this study is on the application of cost-benefit analysis as a methodological technique for evaluating alternatives in the urban planning process. It is hypothesized that cost-benefit analysis, by identifying the effects and the incidence of various courses of action, provides a basis for objective evaluation of alternative plans. It is assumed that cost-benefit analysis, an economics tool, is a framework within which the various effects can be considered comprehensively. The method of study is primarily a critical review of the literature. Within the available time and resources, an attempt is made to apply the cost-benefit techniques to selected areas in the City of Vancouver. Because of the magnitude of the problem involved in the collection of considerable data, most of which is apparently unavailable in a readily applicable form, evidence for the verification of the hypothesis is largely drawn from the critical evaluation of the literature. The study first focusses on the general concept of cost-benefit analysis, as it appears to be traditionally applied, in a broad perspective of various methodological techniques of plan evaluation. A review of the cost-benefit techniques advanced by Nathaniel Lichfield, Jerome Rothenberg and James CT. Mao reveals the fact that there is a difference in their basic approach to urban development. Lichfield's "balance sheet" traces the effects of development in relation to the various sectors involved in the development process. Mao suggests that the repercussions be traced in relation to the basic objective of the project. Rothenberg is primarily concerned with the distribution of income among the relevant populations involved in the process of development. The authors point out the limitations of their techniques. There are many intangible and non-measurable items which are not treated by the authors. There is also the question of whether these tools are valid for evaluating urban plans. Though adequate data are not available to fully employ the above cost-benefit techniques, the limitations of the case studies, partly imposed by the theoretical formulation of these techniques lead to questions about the operational validity of these tools in evaluating the implications of these policies in the study areas. The study results reveal the practical problems encountered in obtaining comparable data, particularly on property value, social costs of slum living, and municipal expenditure and revenues for such small areas. A specific methodology needs to be developed for each to take these items into account. The problem of isolating certain effects and ascribing them to the redevelopment policy in the study areas is a critical one. Thus no valid conclusion with regard to the verification of the hypothesis can be drawn in the light of the case studies. It is concluded that the traditional concepts of "costs" and ""benefits" are not applicable in evaluating alternative urban plans and that cost-benefit analysis requires a broad interpretation as a framework within which the implications of a plan can be considered comprehensively and objectively in relation to the defined goals and objectives. The formulation of goals and objectives, it is evident, is an integral part of the analytical techniques. There are many intangible and non-measurable aspects which can not be treated adequately within the cost-benefit framework. However, one of the advantages of cost-benefit analysis is that the planners and the decision-makers may both become acquainted in greater detail with the trade-offs. Various other analytical methods lead to a more refined cost-benefit calculus for an objective evaluation of urban plans. It is important that the validity of methodological techniques should be judged not only by its operational aspects but also by its conceptual approach to achieve the goals of the urban planning process.

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: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.050
Threshold uncertainty score0.784

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0010.000

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 head0.046
GPT teacher head0.210
Teacher spread0.164 · 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 designObservational
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

Citations0
Published2011
Admission routes1
Has abstractyes

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