The problem of aggregation and distance for analyses of accessibility and access opportunity in location - allocation models
The acceptability of information stemming from analyses of accessibility and access opportunity for social, educational, and cultural infrastructure facilities largely depends on two factors: exactness and efficiency. Both of these factors are influenced by the data bases available for the analyses. This paper will focus on the problem of data requirements for spatial distributions of demand as well as on data requirements for spatial distances with respect to the exactness of the results of analyses and on the efficiency of preparing analyses. The effects of different levels of aggregation and of different types of distance measures are investigated.
If you experience problems downloading a file, check if you have the proper application to view it first. In case of further problems read the IDEAS help page. Note that these files are not on the IDEAS site. Please be patient as the files may be large.
As the access to this document is restricted, you may want to look for a different version under "Related research" (further below) or search for a different version of it.
When requesting a correction, please mention this item's handle: RePEc:pio:envira:v:13:y:1981:i:8:p:955-978. See general information about how to correct material in RePEc.
For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: (Neil Hammond)
If references are entirely missing, you can add them using this form.