چکیده:
1- Introduction Horizontal expansion of cities led to the loss of valuable agricultural land and natural resources as a result of environmental instability in development. On the other hand , the spread of urban development due to increased dependence on cars has been heavily criticized(Cao, Handy, & Mokhtarian, 2006: 1). Modern urban life, accompanied by cars as the dominant mode of travel .Range of used cars is so high that the city life is almost impossible without a car. In fact, the car as an essential aspect of today urban life and ecosystem (Dennis, 2007, p. 14) and car ownership has become an important component of household travel behavior (Potoglou & Kanaroglou, 2006: 1). Attention to how to car and motorcycle ownership distribution – particular on national level –cause to preference zones sake to better planning transport infrastructure and land-use on one hand, and attention to justice in facilities distribution on the other hand. Also, today's overall approach to household car ownership is taken into consideration. At the same time, a growing number of households and the growing number of cars and motorcycles check the appropriateness of the planning the needed features and services in rural and urban areas of the country is so important. Considering the importance of this issue, present study examined the distribution of car and motorcycle ownership across the entire city in the 1385 and 1390 census and it’s changes during this course and also relationship between growth of car ownership and a motorcycle with a growing number of households. Unfortunately, there are no studies in the internal investigation in association with the distribution of cars and motorcycles owned by the national level. Studies in the field of car ownership in other countries other than the subject of this paper are on the issues. 2- Theoretical Foundations In the classification of spatial patterns can be focused on how to order placement of areal units (Jay, 2000, p. 5). In fact, spatial autocorrelation measurement of the spatial relationships between the position and the value assigned to any Complications. As a result of this model distribution (spatial arrangement) the characteristics defined in three categories: cluster, randomized and distributed. Moran index used to examine the overall spatial autocorrelation. Moran index is a numerical value between -1 to1.Negative values(-1 <I <0) means no spatial interaction (distribute), positive values (0 <I <1) means a positive  interaction (cluster), and the number 1means a randomized distribution(Lee & Wong,2001, p. 136). But Moran's index is unable to express local differences and different types of classification models. The G statistic used to solve this problem and determine the positive (hot) and the negative (cold) points. Positive Z- Score amounts in this analysis show the placement of points with high values in the vicinity of each other and negative amounts show the proximity of points with low values (Andy, 2005). 3- Discussion  With respect to the objectives and research questions, the main topics of this paper are divided into three sections: 1. Topics related to the cars and motorcycles ownership distribution nationwide 2. Topics related to the cars and motorcycles ownership growth nationwide 3. Topics related to the comparison of number of households with car and motorcycle ownership growth nationwide. 3.1. Topics related to the cars and motorcycles ownership distribution nationwide: In this section, 2 variables extraction from 1385 and 1390 census: car and motorcycle ownership ratio in 3 levels of entire city and it’s rural and urban areas Calculated and analyzed. As can be inferred from Tables, calculated Moran index for all variables (except the rate of car ownership in urban areas) is greater than 0.5 and closer to +1. This means clustered distribution for car and motorcycle ownership in entire city and it’s rural and urban areas in overall the country in 1385 and 1390. On the other hand, according to positive G factor, result the placement of points with high values in the vicinity of each other. 3-2-Topics related to the cars and motorcycles ownership growth nationwide:In this section, the growth of car and motorcycle ownership is calculated in period of 85and90. Then, G and Moran statistics were calculated to determine the distribution of the index. Low values of Moran’s Index, Means randomize distribution of cars and motorcycles ownership growth in period of 85and90.Also, negative  mounts of The G statistics in most variables (except for rural car ownership ratio) shows the proximity of areas with low values of above index. 3-3 Topics related to the comparison of number of households with car and motorcycle ownership growth nationwide: According to analyses, car ownership has more growth than number of households in overall the country in period of 85and90; it means increase the number of households with several cars. While the growth in motorcycle ownership has the opposite result. In the urban areas of the city, the growth of automobile and motorcycle ownership is less than the growth in the number of households. Growth of car ownership in rural areas of the city most of the growth in number of households, while the growth in motorcycle ownership is less than the growth in the number of households absolutely. 4- Conclusion The distribution of automobile and motorcycle ownership has an enormous effect on transportation, infrastructure and land use major policy at the national level. The results of analyses represent the cluster distribution with high positive autocorrelation and adjacency of hot spots in rate of car and motorcycle ownership factors in entire city and it’s rural and urban areas in overall the country in 1385 and 1390. On the other hand, distribution of growth of automobile and motorcycle ownership in the country is almost uniformly distributed. Also, car ownership growth is most of number of household growth; among rural households tend to possession more cars. 5 Suggestions According to the results of this study, it is recommended forasmuch as increase the number of cars available to the household in overall the country,  Transportation planning, road infrastructure and other required facilities (such as fuel stations, car service, etc.) in identified areas in this study done with greater foresight and sensitivity. According to accurate data from 1385 and 1390 census and high-precision calculations, the results of this study can be used in national planning.