Examining the Mutual Effect between Urban Transportation (Subway, B.R.T) and Urban Density by GIS based on Land and Housing Indicators (Case study: Tehran, region 8)

Subject Areas : environmental management

Hadi Ashnaei ¹ , Aliraza Gharagozlu ² , Alireza Vafaee nejad ³

1 - - Master of Science in GIS/RS, GIS/RS Department, Tehran Science and Research Branch , Islamic Azad University ,Tehran, Iran *(Corresponding Author).
2 - Assistant Professor, Geomatics College of National Cartographic Center of Iran, Tehran, Iran.
3 - Assistant Professor, GIS/RS Department, Tehran Science and Research Branch, Islamic Azad University, Tehran, Iran.

Received: 2016-01-08 Accepted : 2016-03-14 Published : 2017-09-23

Keywords: public transportation system, density, Geographical information syste, subway, BRT, ARC GIS,

Abstract :

Background and purpose: Scattering the urban diverse applications and their compression intensity in level and height (density) are the determinant how to meet the citizens' needs, because, for using the urban facilities they are inevitable to move toward these applications. Subway and B.R.T are two mass public transportation systems with less traffic interference which transfer people within the territory of a city and also impose more expenses to city than other transportation systems, for practicing their infrastructures. Since more intensity of applications leads to more effective transportation systems, in contrary, and more efficient transportation system leads to more residential and activities growth around this system, thus, these two entities must be studied, designed and exercised coordinated. Methods: Due to the existence of both transportation systems in Tehran, Tehran pars, region 8, this case study was done there, also, for more precise identification of the relation between public transportation system (subway and B.R.T.) and density of various applications and by virtue of  its location's nature, geographical information system and Arc GIS software were used. 153 urban blocks were analyzed statistically in this area by OLS in ARC GIS by the significance level of 0.05. In this analysis, each dependent variable, difference during implementation of the system and difference between eligible and inaccessible blocks to the system, the method is used in this study (Diff-Diff). Findings: The result shows the increase in annual rate of residential density, number of floors and population density under the impact of subway, includes 0.05%, 0.072 floor and 0.001 person per square meter, respectively,  also it shows the increase on the number of floors indicator by -0.05 floor within the  area of BRT stations. Discassion and Conclusion: Relation between subway and urban density is significant but relation between B.R.T and urban density is not significant.

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