A new perspective for urban development boundary delineation based on SLEUTH-InVEST model

Liu, Jiaxun; Zhang, Ge; Zhuang, Zhuzhou; Cheng, Qianwen; Gao, Yongkang; Chen, Tan; Huang, Qiuhao; Xu, Lang; Chen, Dong

doi:10.1016/j.habitatint.2017.09.009

Cited by 42 publications

(33 citation statements)

References 44 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…This easily impacts the surrounding land cover and causes salinisation of the land, thus affecting the quality of the habitat and threatening the regional ecosystem. Based on the recommended values in the InVEST model guidebook and the research results of researchers worldwide in similar research areas, (Feng, Sun, & Chen, 2018; Li et al, 2018; Liu et al, 2017; Liu & Wang, 2018; Ou, Zhang, Tao, & Guo, 2018; Sharp et al, 2018; Xu, Yang, Tan, Liu, & Hu, 2018) this study determined the input parameters in model (Tables 1 and 2).…”

Section: Data Source and Research Methodsmentioning

confidence: 99%

Impact of road transportation development on habitat quality in economically developed areas: A case study of Jiangsu Province, China

Zhou

Xiao

et al. 2020

Growth and Change

View full text Add to dashboard Cite

The excessive expansion of road transportation often has an impact on the quality of regional habitats. This paper attempts to assess the impact of road transportation on regional habitat quality in economically developed areas. A kernel density analysis was used to characterise the road transportation development in Jiangsu Province from 2000 to 2015. An Integrated Valuation of Ecosystem Services and Trade-offs (InVEST) habitat quality model was applied to assess changes in habitat quality. Furthermore, a fixed-effect regression model was utilised to examine the impact of road transportation development in Jiangsu Province on habitat quality. The analysis indicates that the average kernel density of road transportation in the province increased from 0.109 to 0.551 km/km 2 while the habitat quality decreased from 0.51 to 0.48. The development of road transportationin Jiangsu Province has had a serious negative impact on the quality of the habitat. For every 1-ha increase in land area for road use, the habitat quality index will decrease by 0.066; for every 1 km/km 2 increase in road transportation kernel density, the habitat quality index will decline by 0.121.

show abstract

Section: Data Source and Research Methodsmentioning

confidence: 99%

Impact of road transportation development on habitat quality in economically developed areas: A case study of Jiangsu Province, China

Zhou

Xiao

et al. 2020

Growth and Change

View full text Add to dashboard Cite

show abstract

“…Thus, the Inventory Approach [21], LUTI model [22], constrained CA model [29], FLUS model [31], SLEUTH model [67], ANN [68], and other models have been used by scholars to simulate urban development [7,37]. While these methods have paid more attention to urban growth, data availability, uncertainty [22,26], they regrettably paid scarce attention to the external urban ecological security and spatial policies constraints. The result of delimiting the UGBs is subjective to a certain extent, or can only simulate the expansion of the city, ignoring the urban ecological security.…”

Section: Technical Methods Of Delimitation Ugbsmentioning

confidence: 99%

“…In addition, delimiting UGBs has become an important breakthrough in promoting the modernized construction of spatial governance systems and governance capacity in China [8], and should be fully combined with the recent planning and construction works including renovation and restoration projects (urban renovation and ecology restoration), urban utility tunnels, and the "Sponge city" initiative, and fully make use of existing construction land to improve its utilization intensive degree and benefits as well as improve the utilization efficiency of urban land, therefore promoting a livable city and sustainable development. Moreover, big data will also be an important approach to study the UGBs of China in the future (e.g., point of interest (POI) data, transit smart card data, and residential travel survey data) [26,72]. We will devote more effort to overcome the limitations in our study and apply the new approach to study the UGBs in the future works of China.…”

Section: Research Prospects Of Ugbsmentioning

confidence: 99%

“…Although Chinese scholars have studied the concept, significance, delimitation methods, and influencing factors of UGBs [26][27][28][29][30], relevant research has regrettably not yet reformed a mature UGB method, nor has it explored its governing measures. At present, influenced by the New Urbanism, the two main schools of thought regarding delimiting the UGBs in China are "positive" thinking and "anti-planning" thinking.…”

Section: Introductionmentioning

confidence: 99%

See 1 more Smart Citation

Urban Expansion and Growth Boundaries in an Oasis City in an Arid Region: A Case Study of Jiayuguan City, China

Ren

Liu

et al. 2019

Sustainability

View full text Add to dashboard Cite

China is undergoing rapid urbanization, which has caused undesirable urban sprawl and ecological deterioration. Urban growth boundaries (UGBs) are an effective measure to restrict the irrational urban sprawl and protect the green space. However, the delimiting method and control measures of the UGBs is at the exploratory stage in China. In this paper, a cellular automata model based on multi-criteria evaluation (MCE-CA) was proposed to delimit the UGBs. The MCE-CA model considers influencing factors related to urban growth and generates UGBs based on spatiotemporally dynamic simulations. The MCE-CA model was applied to generate the UGBs of Jiayuguan City in 2020 and 2030, the results show that the simulation accuracy is higher than 0.8 and the compactness increases to 0.23, which demonstrates that the MCE-CA model is an effective model for delimiting UGBs. Moreover, the MCE-CA model can corporate the contradiction between environmental protection and urban development, promoting urban smart growth and sustainable development. UGBs is an effective tool for China to realize ecological civilization construction and improve the spatial governance ability, and the MCE-CA model can be used to assist planners in delimiting future UGBs, this study provides a methodological reference for future research of UGBs in Chinese cities.

show abstract

“…Population growth and industrial agglomeration associated with urbanization leads to the rapid growth of urban lands [2][3][4]. Meanwhile, large-scale cultivated land and natural areas are occupied, which will cause damage to food supplies and ecological security [5][6][7]. Hence, coordinating relations among construction land, cultivated land, and ecological land is pivotal for sustainable urban development [8,9].…”

Section: Introductionmentioning

confidence: 99%

Spatial Patterns and Driving Forces of Conflicts among the Three Land Management Red Lines in China: A Case Study of the Wuhan Urban Development Area

Zhang

Kong

et al. 2019

Sustainability

View full text Add to dashboard Cite

The delimitation of three land management red lines (LMRLs), which refers to urban growth boundaries (UGBs), ecological protection redlines (EPRs), and basic farmland protection zones (BFPZs), has been regarded as a control method for promoting sustainable urban development in China. However, in many Chinese cities, conflicts extensively exist among the three LMRLs in terms of spatial partitioning. This study clarifies the connotation of conflicts among the three LMRLs. Moreover, a red line conflict index (RLCI) is established to characterize the intensity of conflicts among the three LMRLs. The Wuhan Urban Development Area (WUDA) is used for a case study, in which the spatial patterns of the three types of conflicts among the three LMRLs (i.e., conflicts between EPRs and BFPZs, EPRs and UGBs, and UGBs and BFPZs) are analyzed through numerous spatial statistical analysis methods (including spatial autocorrelation, urban-rural gradient, and landscape pattern analyses). In addition, the driving forces of these conflicts are identified from the perspectives of natural physics, socioeconomic development, neighborhood, policy and planning using three binary logistic regression models. Results show that the conflicts between EPRs and BFPZs, EPRs and UGBs, and UGBs and BFPZs are mainly distributed on the edge of the WUDA, inside Wuhan’s third circulation line, and at the urban–rural transition zone, respectively. The patch of conflict between BFPZs and UGBs has the lowest aggregation degree, the highest fragmentation degree, and the most complex shape. Logistic regression results show that the combination and relative importance of driving factors vary in the three types of conflicts among the three LMRLs. In the conflict between EPRs and BFPZs, the distance to city centers is the most important influencing factor, followed by the proportion of ecological land and elevation. In the conflict between UGBs and EPRs, the proportion of construction land, the distance to city centers, and whether the land unit is within the scope of a restricted development zone are the three most important factors. The proportion of construction land, the distances to the Yangtze and Han Rivers, and the proportion of cultivated land significantly influence the conflict between UGBs and BFPZs. This study aids in our understanding of the causes and mechanisms of conflicts among the three LMRLs, and provides important information for the “integration of multi-planning” and land management in Wuhan and similar cities.

show abstract

A new perspective for urban development boundary delineation based on SLEUTH-InVEST model

Cited by 42 publications

References 44 publications

Impact of road transportation development on habitat quality in economically developed areas: A case study of Jiangsu Province, China

Impact of road transportation development on habitat quality in economically developed areas: A case study of Jiangsu Province, China

Urban Expansion and Growth Boundaries in an Oasis City in an Arid Region: A Case Study of Jiayuguan City, China

Spatial Patterns and Driving Forces of Conflicts among the Three Land Management Red Lines in China: A Case Study of the Wuhan Urban Development Area

Contact Info

Product

Resources

About