rdf-syntax-grammar
mods:
  schema location: http://www.loc.gov/mods/v3 http://www.loc.gov/standards/mods/v3/mods-3-2.xsd
  title info:
    non sort: A
    title: statistical approach to the development of an improved safety index model for narrow bridges
  name:
    name part: Gandhi, Radhakumari Bodapati Venkata.
    role:
      role term: creator
  name:
    name part: Beals, Robert P.
    role:
      role term: degree committee member.
  name:
    name part: Das, Biman
    role:
      role term: degree supervisor.
  name:
    name part: Freund, Rudolph J.
    role:
      role term: degree committee member.
  name:
    name part: Lytton, Robert L.
    role:
      role term: degree committee member.
  name:
    name part: Smith, Donald R.
    role:
      role term: degree committee member.
  name:
    name part: Texas A & M University
    role:
      role term: degree granting institution.
  type of resource: text
  genre: bibliography
  genre: Academic theses
  origin info:
    place:
      place term: xx
    date issued: 1983
    issuance: monographic
  language:
    language term: eng
  physical description:
    form: print
    extent: xi, 168 leaves : illustrations ; 29 cm
  abstract: An improved Safety Index Model is developed for narrow bridges using a statistical approach when bridge and approach roadway characteristics are known. Information was collected regarding the variables such as bridge width, approach roadway width, length, sight distance, 85% approach speed, shoulder reduction, grade continuity, average daily traffic, type of traffic control at an accident site, environmental and road conditions at the time of the accident, number of persons injured, number of persons killed in an accident, alignment and curvature at the stie. Cluster analysis was used to classify the 78 bridges into more-safe and less-safe groups. Correlation and factor analyses were employed to find the interrelationships between the independent variables of bridge and approach roadway characteristics. Stepwise regression was used to find the most important variables related to accident rate. On the groups developed by cluster analysis, logistic regression was employed to develop a model that is a function of several variables which were found to be significantly related to accident rate. The enhanced Safety Index Model consists of the variables: bridge width, length, average daily traffic, and speed as well as the subjective safety factors F(,6) (grade continuity), F(,7) (shoulder reduction) and F(,9) (traffic mix). The model was arrived at scientifically, using more objective procedures of classification and has a stronger correlation with the accident rate than the previous models by others. It is also more parsimonious in variables. The fewer variables yield a much higher coefficient of multiple determination (R('2)) compared to the previous models when accident rate is used as the dependent variable. It is very sensitive to changes or improvements in the constituent factors. The model yields the fraction of concordant pairs of predicted probabilities and responses as 0.91 and a high rank correlation of 0.81 between predicted probability and response which indi…
  note: "Major subject: Industrial Engineering."
  note: Typescript (photocopy).
  note: Vita.
  note: Ph. D. in Philosophy Texas A & M University 1983
  note: Includes bibliographical references (leaves 81-87).
  subject:
    topic: Bridge failures
  subject:
    topic: Bridges
    topic: Design and construction
  subject:
    topic: Industrial Engineering
  identifier: http://proxy.library.tamu.edu/login
  identifier: https://hdl.handle.net/1969.1/DISSERTATIONS-574979
  related item:
    location:
      url: http://proxy.library.tamu.edu/login
  related item:
    location:
      url: https://hdl.handle.net/1969.1/DISSERTATIONS-574979
  record info:
    record content source: TXA
    record creation date: 851005
    record change date: 20220103135229.0
    record identifier: in00000574210
    language of cataloging:
      language term: eng