Evaluating Built Environments.

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Bibliographic Details
Title: Evaluating Built Environments.
Authors: Davis, T. A., State Univ. of New York, Albany. Office of Architecture and Facilities.
Peer Reviewed: N
Page Count: 97
Publication Date: 1969
Descriptors: Architectural Programing, Building Design, Correlation, Cultural Influences, Environmental Influences, Environmental Research, Environmental Standards, Evaluation Methods, Facility Planning, Field Studies, Probability, Questionnaires, Values
Abstract: "Environmental measures" in the forms of probability inductions are conceptualized to express the relationship between environmental conditions (temperature, illumination, etc.) and human satisfaction levels for comfort and utility. An "evaluation" method is hypothesized as a way to gather the data needed to make environmental measure probability inductions. Evaluations gather counts and measures of objects and environments needed for human activities. Human satisfaction levels are then defined through questionnaires and indepth probes of cultural meanings, and correlated to the counts and measures. Environmental measure probability inductions are made from these correlations. Preliminary to making evaluation field studies, assumptions are made about environmental parameters, quantifying user activities, the validity of user opinions, the dimensions of cultural meanings, and the manipulation of data. Five "realities" are isolated for evaluation comparisons: objects, environments, standards, records, and opinions. (Some pages in Appendix C may reproduce poorly.) (Author)
Journal Code: RIENOV1972
Entry Date: 1972
Accession Number: ED064758
Database: ERIC
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IllustrationInfo
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  Data: Evaluating Built Environments.
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  Data: <searchLink fieldCode="AR" term="%22Davis%2C+T%2E+A%2E%22">Davis, T. A.</searchLink><br /><searchLink fieldCode="AR" term="%22State+Univ%2E+of+New+York%2C+Albany%2E+Office+of+Architecture+and+Facilities%2E%22">State Univ. of New York, Albany. Office of Architecture and Facilities.</searchLink>
– Name: PeerReviewed
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  Data: N
– Name: Pages
  Label: Page Count
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  Data: 97
– Name: DatePubCY
  Label: Publication Date
  Group: Date
  Data: 1969
– Name: Subject
  Label: Descriptors
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  Data: <searchLink fieldCode="DE" term="%22Architectural+Programing%22">Architectural Programing</searchLink><br /><searchLink fieldCode="DE" term="%22Building+Design%22">Building Design</searchLink><br /><searchLink fieldCode="DE" term="%22Correlation%22">Correlation</searchLink><br /><searchLink fieldCode="DE" term="%22Cultural+Influences%22">Cultural Influences</searchLink><br /><searchLink fieldCode="DE" term="%22Environmental+Influences%22">Environmental Influences</searchLink><br /><searchLink fieldCode="DE" term="%22Environmental+Research%22">Environmental Research</searchLink><br /><searchLink fieldCode="DE" term="%22Environmental+Standards%22">Environmental Standards</searchLink><br /><searchLink fieldCode="DE" term="%22Evaluation+Methods%22">Evaluation Methods</searchLink><br /><searchLink fieldCode="DE" term="%22Facility+Planning%22">Facility Planning</searchLink><br /><searchLink fieldCode="DE" term="%22Field+Studies%22">Field Studies</searchLink><br /><searchLink fieldCode="DE" term="%22Probability%22">Probability</searchLink><br /><searchLink fieldCode="DE" term="%22Questionnaires%22">Questionnaires</searchLink><br /><searchLink fieldCode="DE" term="%22Values%22">Values</searchLink>
– Name: Abstract
  Label: Abstract
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  Data: "Environmental measures" in the forms of probability inductions are conceptualized to express the relationship between environmental conditions (temperature, illumination, etc.) and human satisfaction levels for comfort and utility. An "evaluation" method is hypothesized as a way to gather the data needed to make environmental measure probability inductions. Evaluations gather counts and measures of objects and environments needed for human activities. Human satisfaction levels are then defined through questionnaires and indepth probes of cultural meanings, and correlated to the counts and measures. Environmental measure probability inductions are made from these correlations. Preliminary to making evaluation field studies, assumptions are made about environmental parameters, quantifying user activities, the validity of user opinions, the dimensions of cultural meanings, and the manipulation of data. Five "realities" are isolated for evaluation comparisons: objects, environments, standards, records, and opinions. (Some pages in Appendix C may reproduce poorly.) (Author)
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RecordInfo BibRecord:
  BibEntity:
    PhysicalDescription:
      Pagination:
        PageCount: 97
    Subjects:
      – SubjectFull: Architectural Programing
        Type: general
      – SubjectFull: Building Design
        Type: general
      – SubjectFull: Correlation
        Type: general
      – SubjectFull: Cultural Influences
        Type: general
      – SubjectFull: Environmental Influences
        Type: general
      – SubjectFull: Environmental Research
        Type: general
      – SubjectFull: Environmental Standards
        Type: general
      – SubjectFull: Evaluation Methods
        Type: general
      – SubjectFull: Facility Planning
        Type: general
      – SubjectFull: Field Studies
        Type: general
      – SubjectFull: Probability
        Type: general
      – SubjectFull: Questionnaires
        Type: general
      – SubjectFull: Values
        Type: general
    Titles:
      – TitleFull: Evaluating Built Environments.
        Type: main
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      – PersonEntity:
          Name:
            NameFull: State Univ. of New York, Albany. Office of Architecture and Facilities.
      – PersonEntity:
          Name:
            NameFull: Davis, T. A.
    IsPartOfRelationships:
      – BibEntity:
          Dates:
            – D: 11
              M: 07
              Type: published
              Y: 1969
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