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:
    title: Determining transit impact on Seoul office rent and land value: an application of spatial econometrics
  name:
    name part: Kim, Jin, 1970-
    role:
      role term: creator
  name:
    name part: Sweeney, Donald A.
    role:
      role term: thesis advisor.
  name:
    name part: Zhang, Ming
    role:
      role term: thesis advisor.
  type of resource: text
  genre: bibliography
  origin info:
    place:
      place term: txu
    date issued: 2005
    issuance: monographic
  language:
    language term: eng
  physical description:
    form: electronic
    form: remote
  abstract: This study posits that there may be a systematic bias in measuring the transit's endogenous impact on land values in a built up area due to discrimination by location in the city. Studies of transit value-added effect report mixed results about the capitalization of station proximity. The question is not whether a transit station influences nearby land values, but how and where location determines the impacts. Examining 731 office rentals and land values in Seoul, this study finds that value premium over better accessibility to a station decays with increasing distance from the central business district (CBD) and significantly depends on the development density of the station area. Overall, station benefits seem to exist in Seoul, but they look more notable in centers with higher centrality. This makes a hierarchy of regression coefficients for station proximity by location, i.e. the beta in the CBD is the highest and those in the subcenters are next, while that in other areas is the lowest. Study findings imply that the potential of more compact and denser developments within station areas seems higher in a dense inner city, providing evidence for the concept of 'compact city'. questions concerning model specification in the hedonic approach are raised: in research sampled heavily from the suburbs, the coefficient may be underestimated where this benefit actually exists. Also, due to the incongruence of station area with station value-added area, using a dummy variable seems intrinsically risky. This study shows that estimation with spatial models outperforms OLS estimation in the presence of spatial autocorrelation. Also, there is a strong spatial autocorrelation even in the SAR residuals where the omission of key variables still influences the estimation. Overall, spatial lag and error term variables greatly improve the fitness of regression equations; however, the latter seemed more useful than the former in this study. One thing to note is that the latter seems…
  note: by Jin Kim.
  note: "Major Subject: Urban and Regional Science"
  note: Title from author supplied metadata (automated record created on Feb. 17, 2005.)
  note: Vita.
  note: Abstract.
  note: Electronic resource.
  note: Mode of access: World Wide Web.
  note: System requirements: World Wide Web access and Adobe Acrobat Reader.
  note: Ph. D. Texas A&M University 2004.
  note: Includes bibliographical references.
  note: Text (Dissertation).
  subject:
    topic: Major urban and regional science
  subject:
    topic: Transit-oriented development (TOD)
  subject:
    topic: Geographic information system (GIS)
  subject:
    topic: Spatial autocorrelation
  subject:
    topic: Transit impact
  subject:
    topic: Office rent
  identifier: http://hdl.handle.net/1969.1/1566
  record info:
    record content source: TXA
    record creation date: 050413
    record change date: 20151101060220.0
    record identifier: in00002043950