سال انتشار: ۱۳۹۰

محل انتشار: پنجمین کنفرانس بین المللی پیشرفتهای علوم و تکنولوژی

تعداد صفحات: ۸

نویسنده(ها):

Zahra Sadat saeide Zarabadi – Ph.d, Asst.Prof, Dept. of Art and Architecture, Islamic Azad University, Branch of science and research, Tehran, Iran,
Mohamad Javad Gholami – M.A student in Urban Planning, Islamic Azad University, Branch of science and research, Tehran, Iran,
Mina Eftekharnia – M.A student in Urban Planning, Islamic Azad University

چکیده:

The matter of transportation in cities specially in mega-cities cover various aspects of residents’s life and inefficiency of transportation system may threat efficiency urban system and effect adversely on urban economic.Locating of land use in one of the robust tools to decrease expenditure of transportation.Using this powerful means,the optimal place can be determined to locate different kind of urban land uses and also minimize the demands of travel to or from the these land uses.Close relationship of land use and transportation makes control and development of transportation facilities as powerful means to be use by manages,in order to direct urban development.Therefore land use activities deeply affects on improvement of transportation infrastructure.Finding the best place for utilization of land use is one of the main factors for reducing time of travel ,that consequently decreases request of travel in cities and finally cost of transportation. Appropriate locating of a hospital,high school,police office,shopping center or another service center make access to these places more comfortable and provide least travel time.With this respect in this paper a new method is presented for evaluation of reduction of demand due to land use and it s resulted economic effect.Finally this method is implanted for a shopping center in 9 region of Tehran city using Alfred Weber’s locating algorithm and programming linear software.The result of locating this land use in optimal regions is evaluated and then comprise to other places of this region based on travel demand.