Name
Abstract | ||
|---|---|---|
The opportunities available at a demand location are usually measured as the costs of reaching a specified critical number of facilities from that location. This method does not however, account for multistop trips nor for differences in the diversity of supply at the level of individual facilities. In this paper we introduce an alternative measurement method that overcomes these shortcomings. In this method the probability of successfully visiting a specific facility is assumed to be a function of the diversity of supply provided. Trip routes are constructed that have an acceptable probability of success. Then, the expected costs of travelling the optimum route are determined as an indicator of spatial opportunities. The proposed method has been implemented in a GIS environment, using typical GIS data and GIS tools for spatial analysis and display. The results of a case study indicate that the new method, compared to current methods, may lead to different evaluations of the level of opportunities at demand locations. |
Year | DOI | Venue |
|---|---|---|
1994 | 10.1080/02693799408902005 | INTERNATIONAL JOURNAL OF GEOGRAPHICAL INFORMATION SYSTEMS |
Keywords | Field | DocType |
spatial analysis | Data mining,Simulation,Computer science,Transport engineering,TRIPS architecture | Journal |
Volume | Issue | ISSN |
8 | 4 | 0269-3798 |
Citations | PageRank | References |
3 | 0.64 | 2 |
Authors | ||
3 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Theo A. Arentze | 1 | 87 | 13.60 |
| Aloys W. J. Borgers | 2 | 28 | 3.48 |
| Harry J. P. Timmermans | 3 | 136 | 21.36 |