This research is aimed at developing a model for measuring and comparison amount of supply and demand for different urban services from quality of life and equity perspectives, in urban built-up areas. This paper explains different steps of implementing the model as a tool for evaluating accessibility of residents to various services according to two main criteria: Land per capita and distance to services. In developing the model, geographic information system is used as a spatial planning support generator. The model has been tested in an urban area located in 7th regional municipality of Tehran, the capital city of Iran, and its result have been compared with outcomes of traditional techniques such as zoning. The results show that the model is effectively proper to clarify different levels of shortcoming in accessibility to urban land use services and improves accuracy of assessing the amount and location of the shortcomings. Developing such GIS-based micro-level evaluation model and presenting different approach regarding single-facility and multi-facility’s characteristics of urban services are the specific originality of this research.
Taleai, M., Mesgari, M., & Sharifi, A. (2009). Developing a Spatial Micro-Level Algorithm for evaluating Accessibility to Urban Services. University College of Engineering, 43(4), -.
MLA
Mohammad Taleai; Mohammad Mesgari; Ali Sharifi. "Developing a Spatial Micro-Level Algorithm for evaluating Accessibility to Urban Services", University College of Engineering, 43, 4, 2009, -.
HARVARD
Taleai, M., Mesgari, M., Sharifi, A. (2009). 'Developing a Spatial Micro-Level Algorithm for evaluating Accessibility to Urban Services', University College of Engineering, 43(4), pp. -.
VANCOUVER
Taleai, M., Mesgari, M., Sharifi, A. Developing a Spatial Micro-Level Algorithm for evaluating Accessibility to Urban Services. University College of Engineering, 2009; 43(4): -.
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