Correlation Studies between Land Cover Change and Baidu Index: A Case Study of Hubei Province

Zhao, Yongqing; Li, Rendong; Wu, Mingquan

doi:10.3390/ijgi9040232

Cited by 5 publications

(5 citation statements)

References 47 publications

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“…The use of the Baidu index accounts for shortcomings in the social media data used in this study. More importantly, the Baidu index is being increasingly used to analyze the relationship between the attributes of urban reality and PHS across a wide area by providing geographic data tags (Zhao et al, 2020b(Zhao et al, , 2021Chen et al, 2021a). At the national scale (i.e., China), Wang and Loo (2019) used the Baidu index and found notable hierarchical differences in the number of Internet news reports obtained by cities.…”

Section: Introductionmentioning

confidence: 99%

Realistic characteristics and driving mechanisms of pseudo-human settlements in Chinese cities

Yang

et al. 2023

Humanit Soc Sci Commun

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Pseudo-human settlements (PHS) reflect the subjective wishes and needs of residents. An in-depth characterization of PHS aids in clarifying the actual development needs and future development directions of the city from the residents’ perspective. China is currently undergoing high-speed urbanization and advocates improving the quality of cities. It is particularly important to test the achievements of urbanization through PHS. This study quantitatively analyses spatiotemporal characteristics and the realistic driving mechanism of PHS in 286 Chinese cities through spatial autocorrelation analysis and geographic detectors. The results indicate that (1) the PHS level exhibited notable hierarchical characteristics and spatial differences (high in the eastern coastal regions and low in the western inland regions), with weak positive autocorrelation characteristics; (2) nighttime light index, per capital GRP, and population size are major drivers of heterogeneity of development level and functional structure of PHS; and (3) the functional structure followed an emergence-development-maturity-decline-extinction life cycle. Overall, the development of PHS must play a leading role in high-level areas, and urban decision-makers should clarify and adapt to local preferences of PHS and predict future changes. The findings of this study can help China and other countries promote realistic development by unveiling the characteristics of PHS.

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Section: Introductionmentioning

confidence: 99%

Realistic characteristics and driving mechanisms of pseudo-human settlements in Chinese cities

Yang

et al. 2023

Humanit Soc Sci Commun

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“…(2) Land Use Dynamic Degree Land use dynamic degree can reflect the speed and magnitude of changes in various types over a certain period of time [38,39], and has been widely used in many countries such as China [40], Greece [41], and India [42]. This includes both comprehensive and single land use dynamic degrees.…”

Section: Methodology For Land Use Change Analysis (1) Land Use Transf...mentioning

confidence: 99%

Delineation of Urban Development Boundary and Carbon Emission Effects in Xuzhou City, China

Ji,

Li,

Geng

et al. 2023

Land

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Urban development boundary (UDB) has always served as a crucial aspect of urban sprawl research. The objective of this paper is to investigate boundary delineation and carbon emission effects. Firstly, we examined the patterns of land use changes. Additionally, this paper utilized the FLUS model and land use carbon emission calculation model to delineate UDB and calculate carbon emission effects within UDB under typical scenarios. The research results are as follows: (1) Xuzhou city witnessed a significant increase in both forest land and construction land from 2010 to 2020. (2) Under the CPS, the area of cultivated land increased by 217.05 km2 compared to the NDS. The UDB area under the NDS and CPS was 971.50 km2 and 968.99 km2, respectively. (3) Compared to the NDS, the CPS led to a net carbon emission increase of 4759.93 t within the UDB. Therefore, we should enhance the carbon sequestration and emission reduction capacity of the agricultural system. This study is beneficial for expanding the depth of research on the UDB and guiding the low-carbon urban development. We sincerely encourage readers to download this paper to improve this paper.

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“…Step 2: The dependent variable is the area of coniferous or broadleaf forests in Nepal and the independent variables are the driving factors affecting LUCC, and a linear regression analysis model was applied to quantitatively reveal the driving mechanisms of forest area change [6]. After determining the k principal component factors used in the analysis, linear regression analysis was applied to calculate the functional relationship between the dependent variable and the extracted principal components, with the equation,…”

Section: Driving Factor Selectionmentioning

confidence: 99%

“…From Equation ( 5), it can be seen that population indicators (X 1 ), GDP indicators (X 2 , X 3 , X 4 ), and average annual precipitation (X 8 ) had positive effects on coniferous forest area, while other factors showed negative effects. From Equation (6), except for GDP growth rate (X 3 ), value added in the agriculture, forestry, fishery, and industry (X 5 , X 6 ), annual precipitation (X 8 ), and annual (X 10 ) had a positive effect on the change of broadleaf forest area; the other factors showed a negative effect.…”

Section: Principal Component Analysismentioning

confidence: 99%

“…Land use/cover change (LUCC) is one of the main drivers of global environmental change [1][2][3], a direct representation of external influences on the regional ecosystem, reflecting the basic laws of human activity and socio-economic development [3][4][5]. Spatial and temporal LUCC and its driving forces have become a hot research topic in areas related to global environmental change and sustainable land use [5][6][7]. Studies using Landsat images showed that climatic change, human activities, and government policies all influence LUCC.…”

Section: Introductionmentioning

confidence: 99%

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Land Use/Cover Change, Fragmentation, and Driving Factors in Nepal in the Last 25 Years

Ning

Subedi

2023

Sustainability

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Because of the influence of climate change and human activities, an in-depth analysis of land use/cover change (LUCC) and its drivers in Nepal is important for local community forestry management and sustainable development. This paper analyzed the direction, magnitude, and rate of LUCCs and their spatial aggregation, as well as landscape fragmentation in Nepal, from 1995 to 2020 using the ESA/CCI (European Space Agency Climate Change Initiative) dataset. A total of 10 factors including population, socioeconomic development, climate factors, and forest management factors were selected to determine the dominant driving factors affecting LUCC in Nepal by Principal component analysis (PCA) and linear regression analysis. Our study showed that climate change, human activities, and forest management (e.g., community forestry) all influenced LUCC. In Nepal, land use/cover shifted among forest, shrub, grassland, and cropland from 1995 to 2020, mainly from forest to cropland. The most significant LUCC in recent decades has been caused by the expansion of cropland and urbanization. The area of coniferous and broadleaf forests decreased from 1995 to 2001 due to deforestation and forest degradation, and recovered gradually after 2001, which was attributed to the successful practice of community forestry in Nepal. Accelerated urbanization was also found in Nepal, and the significant expansion of construction land came mainly came from cropland. Land fragmentation in Nepal was severe and exhibited spatial aggregation characteristics. Human activities played a greater role in LUCC in Nepal than climate factors. The community forestry, GDP growth, and precipitation were positive driving factors for increases in forest area, while the development of the services sector and rising temperature were negative driving factors.

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Correlation Studies between Land Cover Change and Baidu Index: A Case Study of Hubei Province

Cited by 5 publications

References 47 publications

Realistic characteristics and driving mechanisms of pseudo-human settlements in Chinese cities

Realistic characteristics and driving mechanisms of pseudo-human settlements in Chinese cities

Delineation of Urban Development Boundary and Carbon Emission Effects in Xuzhou City, China

Land Use/Cover Change, Fragmentation, and Driving Factors in Nepal in the Last 25 Years

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