Quantitative Techniques and Methods in Planning

At the end of the course students are expected to: 1. develop competences in various techniques in data analysis; 2. demonstrate skills in quantitative methods; and 3. illustrate competences in statistical tools for making spatial decisions.

Estimate of current population characteristics and factors used in forecasting. Methods of population forecasting, trend projection, regression, ratio and apportionment, migration and natural increase growth composition analysis, metric of framework and allocative forecasting methods. Introduction to quantitative method, time series analysis, regression analysis, index numbers, linear programming and transportation network. Analysis of variance, scaling techniques, types of scales, social distance, social-metric measurement. Frequency distribution, comparism and complex tables. Statistical tests of hypothesis, mathematical models used in town planning simulation models, headship rate model, gravity model, rent model and demands models.