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Record W4383865518 · doi:10.22034/ijhcum.2022.03.05

Toward behavior-based placemaking: the evolution of place concept in urban design knowledge

2022· article· en· W4383865518 on OpenAlex

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.

Bibliographic record

VenueDOAJ (DOAJ: Directory of Open Access Journals) · 2022
Typearticle
Languageen
FieldEngineering
TopicUrban Design and Spatial Analysis
Canadian institutionsDalhousie University
Fundersnot available
KeywordsPlacemakingPlace attachmentKnowledge managementUrban designArchitectural engineeringComputer scienceEngineeringPsychologyUrban planningCivil engineeringSocial psychology

Abstract

fetched live from OpenAlex

BACKGROUND AND OBJECTIVES: The concept of place as a multidimensional approach in the evolution of urban design concepts has always sought to improve the quality of urban environments and spaces. “Place” results from humans’ environmental experiences and cognition of space which is perceived through meaning in people’s minds within the interaction of humans and place. Placemaking is considered a participatory process and a practical approach for urban designers, which can be implemented by improving the physical quality of urban spaces. In urban design studies, several perspectives have been proposed regarding the structure of the place model. This paper aimed to examine the evolution of placemaking in urban design theories to propose a place model based on behavior. How and in what way behavior can contribute to the formation of place is the primary question of this research. In other words, what is the role of behaviors analysis and behavioral patterns in the formation of an urban place? METHODS: Descriptive-analytical method is used to review the concept of place and its conceptual evolution to provide placemaking recommendations and suggestions based on the proposed place model. In the case study section, Studies have been done using behavioral observation tools such as place-based graphic maps, movement path tracing of individuals, and recording various behavioral patterns by time intervals at the Hafezieh intersection, Shiraz, Iran.FINDINGS: The results of analyzing behavioral maps of Hafezieh intersection and recommendations from global experiences regarding public life and behavioral studies revealed that the combination of four aspects of form, function, meaning, and ecosystem with emphasis on the specific role of behavioral studies could lead to flourishing placemaking.CONCLUSION: Paying attention to the role of behavior-based placemaking in recent urban thoughts can promote sustainable urban design and determine optimal policies for social interactions, communication, and the importance of human behaviors that define a thriving place and support its constant progress.

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.

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 categoriesInsufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Simulation or modeling · Consensus signal: Simulation or modeling
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.179
Threshold uncertainty score0.995

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0010.002
Science and technology studies0.0000.000
Scholarly communication0.0000.001
Open science0.0020.000
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0060.000

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 head0.215
GPT teacher head0.459
Teacher spread0.244 · 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