Determination of the optimal land use allocation pattern in Nowshahr County, Northern Iran

Zarei, Abdullah; Dadashpoor, Hashem; Amini, Masoome

doi:10.1007/s10668-015-9620-7

Cited by 13 publications

(6 citation statements)

References 36 publications

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“…The overall accuracy reached 86, 90, and 88, and the Kappa coefficient was used for accuracy assessment of the classified images, which was 85, 86, 85% for 1985, 2000, and 2015, respectively, and in comparison with other studies (Lamine et al 2017;Puertas et al 2014), indicating the high accuracy of the produced maps. Based on the land-use maps for 1985, 2000, and 2015, land-use A set of driving factors were selected based on the data collected through interview with several experts in this field as well as the information provided in scientific studies on the studied area (Arsanjani et al 2012;Shafizadeh-Moghadam et al 2017a, b;Zarei at al. 2016).…”

Section: Spatial Datamentioning

confidence: 99%

“…Thus, developing scenarios based on effective and efficient land-use models (Deng and Li 2016) can determine the optimal spatial patterns of regional land use (X. Sun et al 2012;Zarei et al 2016) aiming to preserve the ecology and environment (Verburg et al 2006). In the meantime, Geographical Information System (GIS) and Remote Sensing (RS), with advanced capabilities in analyzing and processing spatial data, are recognized as effective tools for analyzing past changes and modeling future potential changes and a combination of these two are an appropriate framework to obtain, store, process, analyze and finally modeling the data.…”

Section: Introductionmentioning

confidence: 99%

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Exploring an integrated spatially model for land-use scenarios simulation in a metropolitan region

Dadashpoor

Panahi

2021

Environ Dev Sustain

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Spatial simulation of land-use change scenarios in metropolitan areas is essential for analyzing both the causes and consequences of various future scenarios and is also valuable for land-use planning and management. However, current simulation models primarily focus on spatial and rarely on quantitative driving factors. This article aims to simulate future scenarios of land-use changes in the Tehran metropolitan region (TMR) by combining different models to fill this gap. Thus, in the first step, land-use changes were analyzed in the period 1985, 2000, and 2015. Then, by identifying the impact of driving factors and land-use transition potentials with Logistic regression (LR), land-use changes were allocated using the Cellular Automata (CA) method. Finally, with the validation of the model, four scenarios of the current trend(CT), socioeconomic growth(SEG), ecologicaloriented(EO), and integrated development(ID) were suggested with the combination of the System Dynamic (SD) model. The results show that the trend of land-use changes in TMR has led to the destruction of grassland, agricultural, and uncultivated lands and the continuation of this trend will increase the damage of built-up areas on valuable natural and ecological resources. In this way, proximity to roads, distance from built-up areas, and natural factors had the greatest impact on changes. Based on future scenarios in 2030, the change in the SEG-scenario shows a rapid increase in built-up areas (2858km 2) and encroachment on agricultural lands (2171km 2) . In the EO-scenario, destruction of grassland and agricultural lands and the growth of built-up areas will be limited, while CT-scenario leads to the high growth of built-up areas along with destructive impacts on natural and open spaces. In the ID-scenario, the built-up areas and grasslands will increase to 2808km 2 and 7438km 2 , respectively. Accordingly, policy-makers can use simulation of different scenarios to mitigate probable consequences of land-use changes in the metropolitan regions.

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Section: Spatial Datamentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Exploring an integrated spatially model for land-use scenarios simulation in a metropolitan region

Dadashpoor

Panahi

2021

Environ Dev Sustain

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“…An integrated modeling framework, which assesses water levels, soil subsidence, and societal impacts, is applied for assessing strategies of water management in Dutch peatlands [52]. The spatial model, integrating spatial models and analysis, is adopted for determining methods that are advantageous to land use change [56].…”

Section: Modelsmentioning

confidence: 99%

Spatially Explicit River Basin Models for Cost-Benefit Analyses to Optimize Land Use

2022

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Recently, a wide range of models have been used in analyzing the costs and benefits of land utilization in river basins. Despite these advances, there is not enough information on how to select appropriate models to perform cost-benefit analyses. A literature search in the Web of Science (WOS) online database was implemented and resulted in the selection of 27 articles that utilized models to perform cost-benefit analyses of river basins. The models reviewed in these papers were categorized into five types: process-based, statistical, probabilistic, data-driven, and modeling frameworks or integrated models. Twenty-six models were reviewed based on their data and input variable needs and user convenience. A SWOT analysis was also performed to highlight the strengths, weaknesses, opportunities, and threats of these models. One of the main strengths is their ability to perform scenario-based analyses while the main drawback is the limited availability of data impeding the use of the models. We found that, to some extent, there is an increase in model applicability as the number of input variables increases but there are exceptions to this observation. Future studies should explicitly report on the necessary time needed for data collection, model development and/or training, and model application. This information is highly valuable to users and modelers when choosing which model to use in performing a particular cost-benefit analysis. These models can be developed and applied to assist sustainable development as well as the sustainable utilization of agricultural parcels within a river basin, which can eventually reduce the negative impacts of intensive agriculture and minimize habitat degradation on water resources.

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“…In the last three decades, the urban population of this region increased from 2,602,008 in 1996 to 3,283,582 in 2016, while the area of built-up land increased from 248,019 ha in 1996 to 744,059 ha in 2006and 999,547 ha in 2016(Statistics Centre of Iran 2018. Some of the reasons for such growth are beautiful natural and ecological landscapes and the mild and humid weather, which attract the population from the surrounding areas (especially from the capital of Iran, Tehran) to construct the second homes in this region (Dadashpoor and Salarian 2020;Zarei et al 2016). Also, the unplanned and uncontrolled constructions, land speculation, and reduced efficiency and profitability of the agricultural sector in the region have caused a lot of agricultural and forest lands to be destroyed and brought serious threats to the environmental conditions of the region.…”

Section: Study Areamentioning

confidence: 99%

Exploring patterns and consequences of land consumption in a coastal city-region

Dadashpoor

Hasankhani

2022

Ecol Process

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Background The rapid expansion of built-up areas and land consumption with unsustainable spatial patterns in coastal urban areas has become a global major concern due to its far-reaching consequences for human daily life, environmental sustainability, and living organisms. However, the research on this phenomenon in these areas has received less attention. To fill this gap, we conducted a study to explore the spatial patterns of land consumption at both micro- and macro-levels and to evaluate its consequences in terms of sustainable development in a coastal city-region of Mazandaran Province in northern Iran. To achieve these two goals, we combined two methods of urban land density function and landscape expansion index (LEI) to explore spatial patterns of land consumption and also evaluated the sustainability of the region with two methods of the hierarchical analytical process (AHP) and urban sustainability index (USI). Results The spatial patterns of land consumption in the city-region of Mazandaran from 1996 to 2016 at the macro-level changed from a decentralized-sprawl to a centralized-sprawl pattern. At the micro-level, the dominant spatial pattern of land consumption in the city-region changed gradually from the outlying pattern towards the edge expansion and infilling patterns. Also, the spatial pattern of the built-up patches in the majority of the urban areas had conformity with the dominant pattern of the region. Besides, the spatial patterns of land consumption in the region were in an unsustainable state and were changing towards more unsustainability. The absence of urban containment policies and plans could lead to further destruction of the natural environment and increase its unsustainability. Conclusions Our results indicate that the urban areas of the coastal Mazandaran have the same behavior in the spatial pattern of land consumption at the macro- and micro-levels and all are in the same direction and follow the dominant pattern of the region.

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Determination of the optimal land use allocation pattern in Nowshahr County, Northern Iran

Cited by 13 publications

References 36 publications

Exploring an integrated spatially model for land-use scenarios simulation in a metropolitan region

Exploring an integrated spatially model for land-use scenarios simulation in a metropolitan region

Spatially Explicit River Basin Models for Cost-Benefit Analyses to Optimize Land Use

Exploring patterns and consequences of land consumption in a coastal city-region

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