Analysis of the Driving Forces of Urban Expansion Based on a Modified Logistic Regression Model: A Case Study of Wuhan City, Central China

Luo, Ti; Tan, Ronghui; Kong, Xuesong; Zhou, Jincheng

doi:10.3390/su11082207

Cited by 23 publications

(14 citation statements)

References 32 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…On the contrary, the number of football fields per capita in new districts increases compared to the central districts. With the acceleration process of urbanization and population migration, the construction areas are expanding obviously [13,14]. In the central areas of Wuhan, most of the lands are occupied by urban areas, the areas planned for sports facilities are relatively rare.…”

Section: Discussionmentioning

confidence: 99%

Analysis on spatial distribution pattern of football fields: A case study in Wuhan, China

Wang

Gao

2021

E3S Web Conf.

View full text Add to dashboard Cite

In order to promote the sustainable development of sports facilities, the statistical data of football fields in 13 districts of Wuhan city were selected. Based on geographic information system (GIS) and exploratory spatial data analysis (ESDA) technology, this paper analyzed the global and local autocorrelation of the number of football fields per capita in Wuhan city. The results indicate that: (1) Comparing to the new districts in Wuhan, the number of football fields per capita in the central districts was relatively few. (2) In the global scale, the number of football fields per capita in Wuhan presented a spatial aggregation pattern. (3) In the local scale, the regional discrepancy and spatial clusters were confirmed in the local spatial autocorrelation analysis for football fields in Wuhan. At the same time, the research results could provide reasonable references for the planning of football field facilities.

show abstract

Section: Discussionmentioning

confidence: 99%

Analysis on spatial distribution pattern of football fields: A case study in Wuhan, China

Wang

Gao

2021

E3S Web Conf.

View full text Add to dashboard Cite

show abstract

“…Thus, its urban area is expanding and the population is increasing year by year, which has a strong influence on the socio-economic development of the surrounding areas. In addition, the implementation of a series of planning measures has exacerbated the imbalance of regional development within Wuhan, thereby affecting the city’s landscape and urban expansion in the coming years [ 29 ]. Meanwhile, high-intensity land development has also caused various ecological problems, such as endangering biodiversity, reducing water quality, disrupting soil cycles, and degrading local wetland ecosystems [ 33 ].…”

Section: Study Areamentioning

confidence: 99%

“…It is currently recognized as the center of finance, education, and transportation in central China, and has been identified as a core region of the Central Rising Strategy and China’s Yangtze River Economic Belt Development Strategy [ 20 ]. This has driven the evolution of Wuhan’s spatial pattern in the landscape, leading to a rapid urbanization period with large-scale population migration [ 28 , 29 ]. However, this evolution has exposed the landscape to the pressures and challenges of the continuous expansion of built-up land and the accelerated degradation of ecological land, and has brought about many eco-environmental problems, such as lake reclamation, water pollution, and farmland erosion [ 5 , 25 ].…”

Section: Introductionmentioning

confidence: 99%

Landscape Evolution and It’s Impact of Ecosystem Service Value of the Wuhan City, China

Chen

Huang

2021

IJERPH

View full text Add to dashboard Cite

Rapid urbanization and industrialization and enhanced ecological protection measures have greatly influenced landscape change, which has exacerbated regional landscape competition and conflicts and indirectly affected the supply of ecosystem services. Clarifying the relationship between ecosystem service change and landscape change is useful for understanding the impact of ecosystem conversion on socio-economic development and providing a knowledge base for relevant policy decisions. In this study, we used remote sensing technology to process Landsat TM/ETM+/OLI imageries, combined with transformation analysis and kernel density analysis to study the spatial and temporal characteristics of land use change in Wuhan City from 1980 to 2020. We also estimated the ESV in the region using the improved unit area value equivalent method to reveal the trends of ESV changes in Wuhan. The results showed that land use changes in Wuhan during 1980–2020 occurred mainly in terms of decreases in farmland, forestland, and bare land, as well as increases in built-up land and water bodies. The built-up land was mainly concentrated in the main urban areas, but its area in each suburban area has increased in recent years. In contrast, farmland was mainly distributed in suburban areas, and its area has been decreasing in recent years due to the impact of urban expansion. However, the reduction is compensated for by the reclamation of ecological land such as grassland and forestland, which has aggravated the loss of ecosystem service values in the study area. In addition, human activities such as urban expansion have increased the demand for water resources, while also leading to ecological problems such as water scarcity and water quality degradation, which have caused serious losses to key ecosystem services in Wuhan city. Therefore, in order to alleviate the competition and conflicts in the landscape and mitigate the loss of ecosystem service values in this area, we have proposed some constructive suggestions for future urban planning and water quality improvements in Wuhan. The focus of these suggestions is on controlling the expansion of built-up land, as well as the conservation of ecological land and resource protection. Meanwhile, our findings can also provide reference information for land resource planning and ecological monitoring, and help researchers to understand the contribution of ecosystem service functions in relation to socio-economic development.

show abstract

“…Although this phenomenon is global, the biggest territorial transformations due to the augmentation of built-up areas are found in Asia [21]. In this respect, there are numerous studies that deal with single metropolitan regions [22][23][24][25][26][27][28][29], cross-sectional comparisons between two or more cities [30][31][32][33], as well as studies that focus on much larger areas [34][35][36]. In the African continent, overall, the tempo of urban development is considered low [21], but is anticipated to increase significantly [8].…”

Section: Introductionmentioning

confidence: 99%

Evaluating the Territorial Impact of Built-Up Area Expansion in the Surroundings of Bucharest (Romania) through a Multilevel Approach Based on Landsat Satellite Imagery

2021

View full text Add to dashboard Cite

Assessing the relentless expansion of built-up areas is one of the most important tasks for achieving sustainable planning and supporting decision-making on the regional and local level. In this context, techniques based on remote sensing can play a crucial role in monitoring the fast rhythm of urban growth, allowing the regular appraisal of territorial dynamics. The main aim of the study is to evaluate, in a multi-scalar perspective, the built-up area expansion and the spatio–temporal changes in Ilfov County, which overlaps the surroundings of Bucharest, capital of Romania. Our research focuses on processing multi-date Landsat satellite imagery from three selected time references (2000, 2008, 2018) through the supervised classification process. Further on, the types of built-up area dynamics are explored using LDTtool, a landscape metrics instrument. The results reveal massive territorial restructuring in the 18 years, as the new built-up developments occupy a larger area than the settlements’ surface in 2000. The rhythm of the transformations also changed over time, denoting a significant acceleration after 2008, when 75% of the new development occurred. At the regional level, the spatial pattern has become more and more complex, in a patchwork of spatial arrangements characterized by the proliferation of low density areas interspersed with clusters of high density developments and undeveloped land. At the local level, a comparative assessment of the administrative territorial units’ pathway was conducted based on the annual growth of built-up areas, highlighting the most attractive places and the main territorial directions of development. In terms of the specific dynamics of built-up areas, the main change patterns are “F—NP increment by gain”, followed by “G—Aggregation by gain”, both comprising around 80% of the total number of cells. The first type was prevalent in the first period (2000–2008), while the second is identified only after 2008, when it became the most represented, followed in the hierarchy by the previously dominant category. The spatial pattern differentiations were further explored in three complementary case studies investigated in correlation with socioeconomic data, revealing a heterogeneous landscape.

show abstract

Analysis of the Driving Forces of Urban Expansion Based on a Modified Logistic Regression Model: A Case Study of Wuhan City, Central China

Cited by 23 publications

References 32 publications

Analysis on spatial distribution pattern of football fields: A case study in Wuhan, China

Analysis on spatial distribution pattern of football fields: A case study in Wuhan, China

Landscape Evolution and It’s Impact of Ecosystem Service Value of the Wuhan City, China

Evaluating the Territorial Impact of Built-Up Area Expansion in the Surroundings of Bucharest (Romania) through a Multilevel Approach Based on Landsat Satellite Imagery

Contact Info

Product

Resources

About