Urbanization patterns in Iran visualized through spatial auto-correlation analysis

Qelichi, Mohamad Molaei; Murgante, Beniamino; Feshki, Mohsen Yousefi; Zarghamfard, Moslem

doi:10.1007/s41324-017-0128-0

Cited by 29 publications

(12 citation statements)

References 11 publications

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“…The expansion of urban built-up area is the most typical characteristic of urbanization [ 12 ], hence, which is usually used a base data to calculate urbanization rate and analyze the influencing factors of urbanization in previous studies [ 11 , 12 ]. However, although there are many traditional statistical methods, such as spatial autocorrelation and the coupled coordination model, were used to obtain urban built-up area, their effectiveness is relatively low due to the shortcomings in consecutive expression and the small accuracy [ 13 , 14 ].…”

Section: Introductionmentioning

confidence: 99%

Evaluating the influencing factors of urbanization in the Xinjiang Uygur Autonomous Region over the past 27 years based on VIIRS-DNB and DMSP/OLS nightlight imageries

Yang

Gong

2020

PLoS ONE

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The Xinjiang Uygur Autonomous Region is the core economic area of the "Silk Road Economic Belt". The urbanization of this region plays a highly important role in economic and cultural communications between China, Central Asia and Europe. However, the influencing factors of urbanization in this region remain unclear. In this study, we presented a new modified thresholding method to extract the urban built-up areas from two nightlight remote sensing data sources, i.e., the DMSP/OLS and VIIRS/DNB nightlight imageries. Then, geographical detectors and hierarchical partitioning analysis were used to test the influences of anthropogenic and geographic environmental factors on urbanization. Our results showed that the relative error between the actual and the extracted urban built-up areas calculated using our method ranged from-0.30 to 0.27 in two biggest sample cities (Urumqi and Karamay) over the last 27 years. These errors were lower than those calculated by using the traditional method (-0.66 � relative error �-0.11). The expansion of urban built-up areas was greater in the northern regions than the southern regions of Xinjiang, as well as was greater in large cities than small and medium-sized cities. The influence of anthropogenic factors on urbanization has continually decreased over the past 27 years, while the influence of geographical environmental factors has increased. Among all influencing factors, fixed asset investment, topographic position index and per capita possession of water resources have the high contributions on urbanization, accounting for 18.75%, 15.62% and 14.18% of the variance of urbanization, respectively. Here, we provided a new method for studying urbanization by using remote sensing data. Our results are helpful for understand the driving factors of urbanization, and they provide guidance for the sustainable economic development of the Xinjiang Uygur Autonomous Region.

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Section: Introductionmentioning

confidence: 99%

Evaluating the influencing factors of urbanization in the Xinjiang Uygur Autonomous Region over the past 27 years based on VIIRS-DNB and DMSP/OLS nightlight imageries

Yang

Gong

2020

PLoS ONE

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“…Previous studies have noted various geographical determinants including the urbanization of the region to play a key role in the observed disparity 26 . Interestingly, a similarity was witnessed between the map of IPA in Iran and the map of provinces' urbanization levels in 2011 27 . This similarity is in line with previous literature and suggests urbanization as a determinant of IPA levels 20 .…”

Section: Discussionmentioning

confidence: 87%

A national and sub-national metaregression of the trend of insufficient physical activity among Iranian adults between 2001 and 2016

Kamalian

Shadmani

Yoosefi

et al. 2021

Sci Rep

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Insufficient physical activity (IPA) caused approximately 5% of mortalities in 2017 in Iran, almost double its global average. Despite the relatively considerable burden, a knowledge gap exists regarding the trend of IPA in recent years. We described the trend of IPA prevalence utilizing the data from six rounds of STEPwise approach to risk factor Surveillance (STEPS) in Iran. We estimated the physical activity status of Iranian adults from 2006 to 2016 after adjusting for years of schooling, urbanization percentage, and wealth index. We used the spatiotemporal model to interpolate and extrapolate the IPA prevalence for the years in-between the series and from 2001 to 2006, respectively. We used the data of 177,910 participants from six STEPS surveys and found that the national prevalence of IPA had steadily increased over the course of 16 years and had almost doubled in this time period (23.1% in 2001 to 55.4% in 2016). The increase was persistent across all age and gender strata and in every province. Moreover, IPA was more prevalent among women than their male peers regardless of their age category or province of residence. The prevalence of IPA in Khuzestan (highest prevalence) was almost double compared to that in Lorestan (lowest prevalence) in 2016. The IPA prevalence increased considerably and almost doubled in 16 years among Iranian adults, particularly women. Policies need to target IPA as a high priority contributing to the burden of Non-communicable diseases.

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“…Population growth considerably affects the urban areas (Qelichi et al , 2017), and as a result of this, a complex set of political, environmental, social and economic challenges emerges, forcing governments to react (Jacobs, 2012). Major studies on housing issues and demographic changes focus on “affordable housing.” Therefore, the authorities are intended to cope with this shortage and other aspects are forgotten.…”

Section: Related Literaturementioning

confidence: 99%

Housing policy and demographic changes: the case of Iran

Ghaedrahmati

Zarghamfard

2020

IJHMA

Self Cite

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Purpose Housing is an essential element in the dynamics of urbanization. One of the main reasons for urbanization is population growth. As the population grows, the need for housing also increases. Therefore, the purpose of this study is to examine the links between housing policies and plans and demographic issues in Iran. Design/methodology/approach The research has been conducted using the qualitative method. First, 14 main indicators of the population that occurred over the past 40 years have been extracted. To investigate the role of demographic indicators in seven main housing plans and policies in Iran, 30 indigenous housing experts have been interviewed. A criteria-based sampling method has been used in this research. Findings The results of this study show that demographic developments have been neglected in the formulation of Iranian housing policies and plans. It is also worth noting that the lack of attention to demographic issues a main reason for the failure of housing policies in Iran. Practical implications As an important implication, the present paper revealed that the mere submission of planning to the economists has been associated with an unpleasant consequence in Iran, and now, it is time to use various expertise and sciences in this important process, as well. Certainly, the use of other sciences such as urban planners contribute greatly to the housing promotion of plans. Originality/value In the present research, the relationship between housing and population changes has been investigated because of the significance of the housing sector in Iran besides the problems in the implementation of housing plans.

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Urbanization patterns in Iran visualized through spatial auto-correlation analysis

Cited by 29 publications

References 11 publications

Evaluating the influencing factors of urbanization in the Xinjiang Uygur Autonomous Region over the past 27 years based on VIIRS-DNB and DMSP/OLS nightlight imageries

Evaluating the influencing factors of urbanization in the Xinjiang Uygur Autonomous Region over the past 27 years based on VIIRS-DNB and DMSP/OLS nightlight imageries

A national and sub-national metaregression of the trend of insufficient physical activity among Iranian adults between 2001 and 2016

Housing policy and demographic changes: the case of Iran

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