عنوان مقاله [English]
One of the vital objects of the 21 century in relation to the city sustainability is the city growth pattern (compactness or sprawl). To this relation, Yazd city is an example that experienced rapid and dispersed growth. Based on this issue, the exact analyzing of the spatial form of the city would be necessary. Thus, according to the theoretical framework, for analyzing the changes of the physical growth pattern of Yazd city during recent years, two hypothesises was suggested: 1) it seems that the spatial distribution of the population and activity in Yazd city during 1375 to 1390 has been more unbalanced 2) it seems that in relation to concentration and the dispersion of population and activity, Yazd city during 1375 to 1390 has moved toward the dispersion and has shown no tendency to concentration.
For examining hypothesizes in the framework of the analytical-descriptive method, growth pattern of the city was measured by two indexes, ''the degree of balanced distribution'' and ''the degree of condensation, dispersion and concentration'' of the employment and population. Therefore, the required data in this study was gathered by library method. Then for examining the first hypothesis, Gini and Entropy indexes were also used. For evaluating the second hypothesis, the indexes of Moran, Geary and General G were also used.
Based on the Entropy and Gini indexes, the spatial distribution of the population in 1385 has been more balanced than the past years. Also, the balanced level of the population would be decreased in 1390. The spatial distribution of employment during different years have almost been constant. Calculated Moran indexes of employment and population in different years stated the fact that the spatial form of Yazd city had a random pattern and is tended to dispersion and that in 1385 in contrast to the past years has moved toward dispersion. The adjusted Geary index shows that the pattern is random with the difference that this pattern is more tended to dispersion rather than to the clustered pattern.