Towards decentralization: Spatial changes of employment and population in Tehran Metropolitan Region, Iran

Dadashpoor, Hashem; Alidadi, Mehdi

doi:10.1016/j.apgeog.2017.05.004

Cited by 44 publications

(20 citation statements)

References 57 publications

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“…1). This region is the most populated and most important social, economic, cultural, and political center in Iran (Dadashpoor and Alidadi 2017) with an area of over 18,813 km 2 extended between the Alborz Mountains in the north and desert areas in the south. In the northern regions of the study area, due to the Alborz mountain range, they have a high slope and are mainly located in grasslands, and the southern regions of the lands are suitable for agriculture.…”

Section: Study Areamentioning

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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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: Study Areamentioning

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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“…Taking the main urban area of Chongqing, which is a typical mountainous city, as the research area, we demonstrated the urban structure of Chongqing with the spatial structure of the catering industry by means of kernel density analysis, a hotspot grade map, and Geo-information Tupu based on catering POI data in 2015 and 2020. Compared with some foreign structure identification methods, such as exploratory spatial data analysis (ESDA) [4], locally weighted regression (LWR) [5], and proportional verification and spatial statistics [6], this research method has more advantages in visualization and structure. Next, compared with the current research on the urban structure of Chongqing, we innovatively analyzed the structure of Chongqing's main urban area and development hotspots from the perspective of symmetry.…”

Section: Merits Of Proposed Methodsmentioning

confidence: 99%

“…With the rapid development of spatial information technology, it has become easier to obtain complete data for urban service facilities [2]. Big data technology has increased awareness of the data-intensive research paradigm [3], compared with the study of all kinds of spatial problems under traditional data [4][5][6], and the data and methods have been greatly enriched. Scholars are increasingly studying urban spatial issues by obtaining internet map information of points of interest (POIs) and microblog check-ins.…”

Section: Introductionmentioning

confidence: 99%

Hotspot Detection and Spatiotemporal Evolution of Catering Service Grade in Mountainous Cities from the Perspective of Geo-Information Tupu

Min

Liu

et al. 2021

IJGI

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Catering services are an essential part of urban life. The spatial structure and evolution of catering services can reflect the characteristics of an urban structure to a certain extent. In this study, we selected the main urban area of Chongqing, a typical mountainous city, as the research area. According to data sources for 200,000 catering POI data points in 2015 and 2020, we extracted the hotspots according to catering service grade based on kernel density. We quantitatively analyzed the spatiotemporal structure of catering services in the mountainous city. In addition, we used digital field hierarchical structure Tupu and generalized symmetric structure Tupu to identify the spatial morphology and evolution characteristics to enhance the understanding of geoscience trends. The results showed that (1) the distribution of catering services was statically consistent with the “multi-center group” distribution of the mountainous city and dynamically similar to the “sprawling leap” development of the mountainous city where it developed from independent points to cross mountains and rivers. Moreover, we found that there was a tendency of adhering development between groups. (2) From the perspective of symmetrical distribution, the symmetrical distribution of the catering industry reflected a certain generalized symmetrical structure with mountains and rivers in the mountainous city. Furthermore, the city tended to develop symmetrically along the topography, thus forming the symmetry of economic geography.

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“…Employment and population spatial structure of metropolitan regions have evolved in the era of post-industrialization [77]. With the development of cities, the multi-centralization of cities has become a general trend of development [78].…”

Section: Discussionmentioning

confidence: 99%

“…Multi-centralization is not only the spatial differentiation of population and employment, but also the continuous improvement of the urban system. The sub center also represents a structural element of an urban sub-system within the metropolitan configuration-that is, a place with intense spatial interaction with its hinterland [77]. We propose an extension of TOD and call it Green Transportation System Oriented Development (GTOD; see Figure 6).…”

Section: An Extension Of the Modelmentioning

confidence: 99%

Low-Carbon Transportation Oriented Urban Spatial Structure: Theory, Model and Case Study

Wang

Zhang

et al. 2017

Sustainability

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Abstract:Optimising the spatial structure of cities to promote low-carbon travel is a primary goal of urban planning and construction innovation in the low-carbon era. There is a need for basic research on the structural characteristics that help to reduce motor traffic, thereby promoting energy conservation. We first review the existing literature on the influence of urban spatial structure on transport carbon dioxide emissions and summarise the influence mechanisms. We then present two low-carbon transportation oriented patterns of urban spatial structure including the traditional walking city and the modern transit metropolis, illustrated by case studies. Furthermore, we propose an improved model Green Transportation System Oriented Development (GTOD), which is an extension of traditional transit-oriented development (TOD) and includes the additional features of a walking city and an emphasis on the integration of land use with a green transportation system, consisting of the public transportation and non-auto travel system. A compact urban form, effective mix of land use and appropriate scale of block are the basic structural features of a low-carbon transportation city. However, these features are only effective at promoting low-carbon transportation when integrated with the green traffic systems. Proper integration of the urban structural system with the green space system is also required. The optimal land use/transportation integration strategy is to divide traffic corridors with wedge-shaped green spaces and limit development along the transit corridors. This strategy forms the basis of the proposed urban structural model to promote low-carbon transportation and sustainable urban growth management.

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Towards decentralization: Spatial changes of employment and population in Tehran Metropolitan Region, Iran

Cited by 44 publications

References 57 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

Hotspot Detection and Spatiotemporal Evolution of Catering Service Grade in Mountainous Cities from the Perspective of Geo-Information Tupu

Low-Carbon Transportation Oriented Urban Spatial Structure: Theory, Model and Case Study

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