M.S.Thesis in Demography
Spatial analysis of traffic accident statistics and mortalities (In city & roads) among the counties of Iran in 2006-2010
By
Elaheh Darabi
Supervised by
Dr.A.Goli
September 2013
Abstract
Nowadays, traffic accidents as a social problem in the worldwide cause the lot of mortality each year and due great economic costs to the community. Traffic injuries kills about 1.2 million people and make hurt more than 50 million people every year. The ninth cause of loss of useful life years in the world and is projected to be increased to 66 percent by 2020 to become the third factor. This study examines the spatial pattern and spatial changes of traffic statistics and per capita deaths from accidents in the cities of Iran in the 2006-2010 periods. This study used data from statistical yearbooks of the 2006, 2007, 2008, 2009, 2010 and 2006 and 2010 Census data. The data analyzed by statistics and spatial static technique in SPSS and ARCGIS software’s. The results demonstrate that spatial pattern of per capita deaths from accidents (the urban - suburban) is relatively cluster in Iran. The number of Population, population density, percentage of illiteracy, per Capita of submain road and Degree of development had impact on per capita deaths from accidents within the city and suburb. Length of main and submain road only has effect on per capita deaths from accidents within the city. The variable portion of the country’s population of total population has had the greatest impact on mortality of urban and suburban traffic.Accidents are one of the biggest public health problems in the world. In Iran, this problem has become more important by increase of number of deaths and increase the number of users of roads as well as raise of the number of trips. It is recommended to design further studies based on affecting factors in process of reduction of deaths in order it reduce mortality and growth rate of accident.
Keywords: per capita, Accidents, deaths, spatial pattern, spatial static technique
-
- . Accident ↑
-
- . World Health Organization (WHO) ↑
-
- . Shryok ↑
-
- . pedan ↑
-
- . The World Bank ↑
-
- . Gross National Product ↑
-
- . Jacobs ↑
-
- . Gross Internal Product ↑
-
- . Geographic Information System(GIS) ↑
-
- . Geographically Weighted Poisson Regression ↑
-
- . Generalized Linear Models ↑
-
- . Traffic Analysis Zone ↑
-
- . Odds Rati ↑
-
- . Akola ↑
-
- . Hussaini ↑
-
- . Quang ↑
-
- . Hanoi ↑
-
- . Kuchewar ↑
-
- . Forman ↑
-
- . Victor siskind ↑
-
- . Queensland ↑
-
- . Ordegan ↑
-
- . Ekseler ↑
-
- . Jones ↑
-
- . Wales ↑
-
- . Qirjako ↑
-
- . Tirana ↑
-
- . Albania ↑
-
- . Haynes ↑
-
- . Mosley & chen ↑
-
- . Agha ↑
-
- . Coale,A ↑
-
- . Hoover,E ↑
-
- . Goldscheider ↑
-
- . Davis& Aryaga ↑
-
- . Desplanques, G. ↑
-
- . Kammeyer ↑
-
- . Hammel, E. A. A ↑
-
- . Giddens,A ↑
-
- . kiwee ↑
-
- . Theoretical model ↑
-
- .Word ↑
-
- . Excel ↑
-
- . Spatial Autocorrelation ↑
-
- . local indicator of spatial association- LISA ↑
-
- . Fischer ↑
- . Wang ↑
آخرین نظرات