Driving forces and their interactions of built-up land expansion based on the geographical detector – a case study of Beijing, China

Ju, Hongrun; Zhang, Zengxiang; Zuo, Lijun; Wang, Jinfeng; Zhang, Shengrui; Wang, Xiao; Zhao, Xiaoli

doi:10.1080/13658816.2016.1165228

Cited by 140 publications

(90 citation statements)

References 39 publications

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“…Geographical detectors were first introduced by Wang (2010) as a means of identifying and describing the relationship between risk factors and certain diseases [42]. They have subsequently been widely applied to test the effects of potential driving factors on geographical phenomena [43]. A factor detector entailing the determinant of statistical power can be used to assess whether a particular geographical factor is associated with diverse spatial distribution.…”

Section: Methodsmentioning

confidence: 99%

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Spatiotemporal Patterns of the Use of Urban Green Spaces and External Factors Contributing to Their Use in Central Beijing

Zhang

et al. 2017

IJERPH

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Urban green spaces encourage outdoor activity and social communication that contribute to the health of local residents. Examining the relationship between the use of urban green spaces and factors influencing their utilization can provide essential references for green space site selection in urban planning. In contrast to previous studies that focused on internal factors, this study highlights the external factors (traffic convenience, population density and commercial facilities) contributing to the use of urban green spaces. We conducted a spatiotemporal analysis of the distribution of visitors in 208 selected green spaces in central Beijing. We examined the relationship between the spatial pattern of visitor distribution within urban green spaces and external factors, using the Gini coefficient, kernel density estimation, and geographical detectors. The results of the study were as follows. The spatial distribution of visitors within central Beijing’s green spaces was concentrated, forming different agglomerations. The three examined external factors are all associated with the use of green spaces. Among them, commercial facilities are the important external factor associated with the use of green spaces. For the selection of sites for urban green spaces, we recommend consideration of external factors in order to balance urban green space utilization.

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Section: Methodsmentioning

confidence: 99%

“…Consequently, the relative importance of the relevant factors can be quantitatively indicated.

P_{D, H}

is defined to express the relative importance of the factors [43]. …”

Section: Methodsmentioning

confidence: 99%

Spatiotemporal Patterns of the Use of Urban Green Spaces and External Factors Contributing to Their Use in Central Beijing

Zhang

et al. 2017

IJERPH

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“…The fundamental theory of the Geographic Detector method was first proposed by Wang et al (2010) as a tool of detecting and assessing the risks of diseases. The Geographic Detector method used herein is a spatial statistical method employed to test the relationships between geographical phenomena and their potential driving factors (Ju et al, 2016;Wang et al, 2014;Wang et al, 2016). The factor detector, which is a type of Geographic Detector, can quantitatively estimate the relative importance of a particular factor.…”

Section: Geographic Detectormentioning

confidence: 99%

Spatiotemporal characteristics of urban air quality in China and geographic detection of their determinants

Zhu

Gong

2018

J. Geogr. Sci.

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Ambient air pollution brought by the rapid economic development and industrial production in China has exerted a significant influence on socio-economic activities and public health, especially in the densely populated urban areas. Therefore, scientific examination of regional variation of urban air quality and its dominant factors is of great importance to regional environmental management. Based on daily air quality index (AQI) datasets spanning from 2014 to 2016, this study analysed the spatiotemporal characteristics of air quality across different regions throughout China and ascertained the determinants of urban air quality in disparate regions. The main findings are as follows: (1) The annual average value of the urban AQI in China decreased from 2014 to 2016, indicating a desirable trend in air quality at the national scale.(2) The attainment rate of the urban AQI exhibited an apparent spatially stratified heterogeneity, wherein North China retained a high AQI value. The increase of Moran's I Index reported an apparent spillover effect among adjacent regions. (3) Both at the national and regional scales, the seasonal tendency of air quality in each year is similar, wherein good in summer and relatively poor in winter. (4) Results drawn from the Geographic Detector analysis show that dominant factors influencing AQI vary significantly across urban agglomerations. Topographical and meteorological variations in urban areas may lead to complex spatiotemporal variations in pollutant concentration. Whereas given the same natural conditions, the human-dominated factors, such as industrial structure and urban form, exert significant impacts on urban air quality.The spatial spillover effects and regional heterogeneity of urban air quality illustrated in this study suggest the governments and institutions should set priority to the importance of regional cooperation and collaboration in light of environment regulation and pollution prevention.

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“…Furthermore, the spatial coincidence degree of planning implementation becomes a symbol of the effectiveness of spatial planning implementation [28,29]. Alterman and Hill introduced a grid overlay method to quantify the 'accordance and deviation' between land-use plan and actual land use [30,31]. Calkins (1979) developed a 'planning monitor' to investigate the degree of realization for planning goals and land use [32].…”

Section: Literature Reviewmentioning

confidence: 99%

“…Although factors influencing the actual land use, especially built-up land development, are diverse and complex [13,23,25,31,43,54]. The existing studies have analyzed the factors that influence the result of planning implementation [22,23,54].…”

Section: Potential Influencing Factorsmentioning

confidence: 99%

Inside or Outside? The Impact Factors of Zoning–Land Use Mismatch

Zhang

et al. 2019

Sustainability

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A land-use plan is a core policy tool to curb excessive non-agriculturalization of agricultural land. The effect of plan implementation can affect sustainable land use and regional development. Empirical studies have shown that land development commonly and frequently fails to conform to land-use plans. However, neither qualitative nor quantitative studies are conducted to comprehensively explore the reasons for zoning-land use mismatch. To help bridge this gap, this study explored to what extent a plan has been implemented and what factors have affected zoning-land use mismatch. A new deviation discriminant framework of planning implementation was presented. Moreover, the logistics model was applied to discuss which factors substantially affect the zoning-land use mismatch. The plan implementation results were divided into the conformed, exceeded and unused areas. The general land-use plan failed in its spatial control over rural settlements and other built-up lands, with both more than 90% of the newly added construction land beyond zoning. In addition, the newly added construction land of rural settlements, other built-up lands, and transportation lands all exceeded the quota control. Furthermore, the physical factors of distance from the river, the elevation, the slope and the level, and the social-economic factors of the gross domestic product, the fiscal revenue, the fixed assets investments, and the rank of town have prominent effects on zoning-land use mismatch. Enhancing the flexibility of the land-use plan and strengthening the relationship between planning quotas and spatial zoning in the future are necessary to promote the effect of plan implementation.

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Driving forces and their interactions of built-up land expansion based on the geographical detector – a case study of Beijing, China

Cited by 140 publications

References 39 publications

Spatiotemporal Patterns of the Use of Urban Green Spaces and External Factors Contributing to Their Use in Central Beijing

Spatiotemporal Patterns of the Use of Urban Green Spaces and External Factors Contributing to Their Use in Central Beijing

Spatiotemporal characteristics of urban air quality in China and geographic detection of their determinants

Inside or Outside? The Impact Factors of Zoning–Land Use Mismatch

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