Explaining office rent patterns: models of the location variable (Record no. 104887)

MARC details
000 -LEADER
fixed length control field 01848cam a2200169 4500
001 - CONTROL NUMBER
control field ##L131871
008 - FIXED-LENGTH DATA ELEMENTS--GENERAL INFORMATION
fixed length control field 051213n1999 000 0 eng u
035 ## - SYSTEM CONTROL NUMBER
System control number (Sirsi) u131871
041 0# - LANGUAGE CODE
Language code of text/sound track or separate title eng
100 1# - MAIN ENTRY--PERSONAL NAME
Personal name Desyllas, Jake
245 00 - TITLE STATEMENT
Title Explaining office rent patterns: models of the location variable
260 ## - PUBLICATION, DISTRIBUTION, ETC.
Place of publication, distribution, etc. London
Name of publisher, distributor, etc. RICS
Date of publication, distribution, etc. 1999
520 ## - SUMMARY, ETC.
Summary, etc. This paper uses the spatial reorganisation of office rent patterns in Berlin as a test case for models of the location variable in rents. Since the late 1970s, a number of empirical studies have been undertaken using multiple regression analysis (MRA) to account for differences in office rents. Many of the variables in the MRA relate to the characteristics of buildings or leases but a critical variable is the location within a city. The paper outlines the strengths and weaknesses of the models used in previous studies to account for the value of location, such as the aerial and street distances from a central point and dummy location variables. A database of 412 office rents in Berlin for the period 1991 to 1997 are used as a test case for location measures. The problems of applying such models to a market like Berlin where dramatic spatial reorganisation has taken place are outlined. New computer-based methods of urban spatial modelling are presented and tested against the Berlin data. These approaches model the configuration of the street network rather than distances from a specific central point and are shown to be much more capable of capturing changes in rent patterns such as the shift in prime rental values to the East that has occurred in Berlin. The use of such models as tools for the prediction of in location trends is discussed.
520 ## - SUMMARY, ETC.
Summary, etc. This item is no longer available.
690 ## - LOCAL SUBJECT ADDED ENTRY--TOPICAL TERM (OCLC, RLIN)
Topical term or geographic name as entry element PROPERTY-COMMERCIAL PROPERTY-OFFICE PROPERTY-OFFICES
942 ## - ADDED ENTRY ELEMENTS (KOHA)
Suppress in OPAC 0
Holdings
Withdrawn status Lost status Source of classification or shelving scheme Damaged status Not for loan Home library Current library Shelving location Date acquired Total Checkouts Full call number Barcode Date last seen Copy number Price effective from Koha item type
    Dewey Decimal Classification     Virtual Virtual Online 13/12/2005   ONLINE PUBLICATION 131871-1001 06/08/2019 1 06/08/2019 Book