Spatial model of travel production in the central functional core of Kerman

Improving land use pattern and efficient location of activities has been considered as one of the effective ways to reduce the production of intra-city travel, so that the decision regarding whether or not to travel is based on many socio-economic factors and conditions. Land use distribution is affected.

The aim of the research is to spatially measure the production of intra-city travel in the functional area. The research method is analytical-descriptive using GIS software.

The results show that the highest number of business trips belongs to District 8 with %5.06 and the lowest to District 18 with %1.09, the highest fixed and fluid population density is due to business trips in District 42 and the lowest to District 7 and also based on the transportation indicators of the area, the highest parking shortage belongs to traffic area 8 with %17.29 and the lowest belongs to traffic area 42 with %0.97 and the highest rate of accidents belongs to traffic area 8 with / %84. 4 and the lowest belongs to area 18 with %0.65. It should be noted that the highest vehicle absorption belongs to traffic area 8 with %4.84 and the lowest belongs to area 18 with %0.65 belongs to. As a result, it can be said that among the studied areas in the central part of Kerman, District 8 has the highest and traffic area 18 has the lowest based on population density, business trips, lack of parking, accidents and vehicle recruitment.

In the approach based on the production of internal travel in functional areas, a four-stage model is considered as a common model for forecasting travel demand, which always lacks valid representatives of the basic behavior of travel. According to McNally, travel-based approaches do not reflect the time constraints and dependencies of activity planning; he actually considers activities as the basis for the production of intercity travel .