پديد آورندگان :
نيك پور، عامر داﻧﺸﮕﺎه ﻣﺎزﻧﺪران , سليماني، محمد داﻧﺸﮕﺎه ﻣﺎزﻧﺪران , غلامي، مونا داﻧﺸﮕﺎه زﻧﺠﺎن , محمدياري، بهناز داﻧﺸﮕﺎه ﻣﺎزﻧﺪران
كليدواژه :
الگوي فضايي , پهنۀ فقر , درصد تغيير , گرگان
چكيده فارسي :
ﻓﻘﺮ ﯾﮑﯽ از ﻣﻬﻢ ﺗﺮﯾﻦ ﭼﺎﻟﺶ ﻫﺎي ﺷﻬﺮﻧﺸﯿﻨﯽ اﺳﺖ. اﯾﻦ ﭘﮋوﻫﺶ ﺑﺎ ﻫﺪف ﺗﺤﻠﯿﻞ ﭘﺮاﮐﻨﺶ ﻓﻀﺎﯾﯽ ﺷﺎﺧﺺ ﻫﺎي ﻓﻘﺮ در ﺷﻬﺮ ﮔﺮﮔﺎن ﺑﻪ ﻧﮕﺎرش درآﻣﺪﻫﺎﺳﺖ. داده ﻫﺎي ﺧﺎم از ﺑﻠﻮك ﻫﺎي آﻣﺎري ﺳﺎل ﻫﺎي 1390 و 1395 اﺳﺘﺨﺮاج ﺷﺪه اﺳﺖ. ﺑﺮاي ﺑﯽ ﻣﻘﯿﺎس ﺳﺎزي ﺷﺎﺧﺺ ﻫﺎ از روش ﻓﺎزي، ﺑﺮاي ﺳﻨﺠﺶ ﻓﻘﺮ از روش ﺗﺤﻠﯿﻞ ﻋﺎﻣﻠﯽ و ﺑﺮاي ﺗﺤﻠﯿﻞ ﻓﻀﺎﯾﯽ از روش ﺧﻮدﻫﻤﺒﺴﺘﮕﯽ ﻓﻀﺎﯾﯽ ﻣﻮران اﺳﺘﻔﺎده ﺷﺪ. ﻃﺒﻖ ﻧﺘﺎﯾﺞ وﺿﻌﯿﺖ ﺑﺮﺧﯽ از ﺷﺎﺧﺺ ﻫﺎ ازﺟﻤﻠﻪ ﺑﺎر ﺗﮑﻔﻞ، ﺑﯿﮑﺎري ﮐﻞ، ﻣﺴﺎﮐﻦ اﺳﺘﯿﺠﺎري، ﻣﯿﺰان ﺳﺎﻟﺨﻮردﮔﯽ و ﻧﺴﺒﺖ ﻃﻼق در ﻣﻘﺎﯾﺴﻪ ﺑﺎ ﺳﺎل 1390 ﺑﺪﺗﺮ ﺷﺪه اﺳﺖ. در ﭘﻬﻨﻪ ﺑﻨﺪي ﺳﺎل 1390 ﺣﺪود 52/32 درﺻﺪ ﺟﻤﻌﯿﺖ و 12/26 درﺻﺪ ﻣﺴﺎﺣﺖ در ﭘﻬﻨﻪ ﻓﻘﺮ ﻗﺮار داﺷﺘﻨﺪ، درﺣﺎﻟﯽ ﮐﻪ اﯾﻦ ﻣﻘﺪار در ﺳﺎل 1395 ﺑﻪ 44/75 درﺻﺪ ﺟﻤﻌﯿﺖ و 22/48 درﺻﺪ ﻣﺴﺎﺣﺖ اﻓﺰاﯾﺶ ﯾﺎﻓﺖ. ﺑﺎ ﻣﻘﺎﯾﺴﻪ درﺻﺪ ﺗﻐﯿﯿﺮ ﻫﺮ ﯾﮏ از ﻣﺘﻐﯿﺮﻫﺎي ﭼﻬﺎرﮔﺎﻧﻪ ﻣﺸﺨﺺ ﺷﺪ، ﺑﯿﺸﺘﺮﯾﻦ ﺗﻐﯿﯿﺮ ﻣﺮﺑﻮط ﺑﻪ ﻣﺘﻐﯿﺮ ﺧﺎﻧﻮار و ﺟﻤﻌﯿﺖ واﻗﻊ در ﭘﻬﻨﻪ ﺧﯿﻠﯽ ﻓﻘﯿﺮ اﺳﺖ ﮐﻪ ﺑﻪ ﺗﺮﺗﯿﺐ201 و 183 درﺻﺪ رﺷﺪ داﺷﺖ، و ﺳﭙﺲ ﻣﺮﺑﻮط ﺑﻪ ﺧﺎﻧﻮار و ﺟﻤﻌﯿﺖ واﻗﻊ در ﭘﻬﻨﻪ ﻓﻘﯿﺮ اﺳﺖ ﮐﻪ ﺑﻪ ﺗﺮﺗﯿﺐ 163 و 135 درﺻﺪ رﺷﺪ داﺷﺖ. ﻃﺒﻖ ﻧﺘﺎﯾﺞ ﻣﺪل ﻣﻮران، ﻓﻘﺮ ﺷﻬﺮي در ﻫﺮ دو ﺳﺎل 1390 و 1395 در ﺷﻬﺮ ﮔﺮﮔﺎن از ﻫﻤﺒﺴﺘﮕﯽ ﻓﻀﺎﯾﯽ ﺑﺮﺧﻮردار اﺳﺖ و از اﻟﮕﻮي ﺗﻮزﯾﻊ ﺧﻮﺷﻪ اي ﭘﯿﺮوي ﻣﯽ ﮐﻨﺪ.
چكيده لاتين :
Poverty is one of the most important challenges of urbanization today. The fuzzy
method was used to scale the indicators, the factor analysis method was used to measure
poverty and the Moran spatial correlation method was used for spatial analysis.
According to the results, the situation of some indicators such as livelihood burden,
dependency burden, total unemployment, rented housing, aging rate, and divorce ratio
has worsened compared to before. In the zoning of 1390, about 32.52% of the population
and 26.12% of the area were in the poverty zone, while in 2016, this amount increased to
75.44% of the population and 48.22% of the area. Also, the growth of the number of
blocks, area, population, and household in very poor and impoverished areas has been
more than affluent and very affluent areas. A comparison of the percentage change of
each of the four variables shows that the largest change is primarily related to the
household variable and the population in the very poor area, which grew by 201 and
183%, respectively, and secondly by the household and population located in It is a poor
area that grew by 163 and 135 percent, respectively. According to the results of the
Moran model, urban poverty in both 1390 and 1395 in Gorgan has a pattern of cluster
distribution and spatial correlation.
