Modelling the Shifts in Activity Centres along the Subway Stations. The Case Study of Metropolitan Tehran
Activity centers are areas of strong development of a particular activity, such as residence, employment, or services. Understanding the subway system impacts on the type, combination, distribution and totally the development of basic activities in these centers, have an important role in managing development opportunities created along the Tehran subway lines. The multi criteria and fuzzy nature of evaluating the activity centers development make the issue as complex as cannot be addressed with conventional logical systems. One of the most important methods of multi criteria evaluation is Fuzzy Inference System. Fuzzy inference system is a popular computing framework based on the concepts of Fuzzy Sets Theory, which is capable of accommodating inherent uncertainty in multi-criteria evaluation process. This paper analyze shifts in activity centers along two lines of the Tehran subway system based on three major criteria by designing a comprehensive fuzzy inference system. The data for the present study were collected through documentary analysis, questionnaires and semi-structured interview. The result revealed that the level of the subway system influence on the pattern and process of the development of activities varied with the location, physical environment and entity of each station. Furthermore, empirical findings indicated that the subway line might weaken residential activities while attracting employment and service activities to the city center. Specifically, residential estates moved away from the city center to the suburbs whereas employment and service activities expanded from the existing central business district (CBD). The results can be applied to suggest planning policies aiming at improving the effects of public transit on property developemnet and land use change in a developing country.
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