Based-GIS Clustering Analysis Of Urban Public Traffic Network Service Level

Since China enforced reforming and opening, economy developed fast, urbanization level was improved, and public transit demand caused by produce and life was increased significantly. So service level of public transit network need to be improved. This paper find out the areas in which the service level of public transit network is poor, by the clustering analysis of public transit network service level. The purpose is giving basis for public transit network planning. GIS is a high technique developed in recent year, currently It is used for urban planning and managing. The author calculate clustering factors by space analysis function of GIS, thus much workload is decreased.By means of GIS studying public transit network need building exact public transit network database. Based-GIS public transit network data manage is a main content in this paper. The service level of public transit network refer to four factors —population density, the length of public transit network per 10 thousands, working public transit network density , bus stations coverage rate. This paper detailedly discuss method of calculating factors by GIS. The service level of public transit network is a fuzzy describe, so the author apply theory of fuzzy clustering analysis for studying the service level of public transit network. This section is a keystone in this paper, the study of the front is basis of fuzzy clustering analysis of public transit network service level.The case of this paper studied fuzzy clustering analysis of public transit network service level of xi'an city, and found out poor level areas. The result is identical with current fact, proving that based-GIS fuzzy clustering analysis of public transit network service level is feasible .