Shangqian Li
Current Organizations / Institutes
The organizations/institutes from the scholar's latest article
Research Subjects
Shangqian Li has a total of 11 co-authors. Here are the top co-authors by number of shared publications:
- Yutian Liang
School of Geography and Planning, Sun Yat-sen University, Guangzhou, China
4 shared publications - Zijing Guo
School of Geography and Planning, Sun Yat-Sen University, Guangzhou 510006, China
2 shared publications - Fansi Lang
School of Geography and Planning, Sun Yat-Sen University, Guangzhou 510006, China
1 shared publication - Guanfeng Li
School of Geography and Planning, Sun Yat-Sen University, Guangzhou 510006, China
1 shared publication - Jiaqi Zeng
School of Geography and Planning, Sun Yat-Sen University, Guangzhou 510006, China
1 shared publication - Jie Zhang
School of Geography and Planning, China Regional Coordinated Development and Rural Construction Institute, Sun Yat-sen University, Guangzhou 510275, China
1 shared publication
Latest Publications
- Open Access
Tracking the Construction Land Expansion and Its Dynamics of Ho Chi Minh City Metropolitan Area in Vietnam
International industrial transfer has driven rapid construction land expansion in emerging metropolitan areas, posing challenges for sustainable land management. However, existing research has largely overlooked the spatiotemporal patterns and driving mechanisms of this expansion, particularly in Southeast Asian metropolitan regions. To address this gap, we focused on the Ho Chi Minh City metropolitan area, utilizing construction land data from GLC_FCS30D to analyze the dynamics of construction land expansion during this period. Findings indicated that: (1) Continuous expansion of construction land, with the expansion rate during 2010–2020 being five times that of 2000–2010; (2) The spatial pattern evolved from initial infilling development in urban cores to subsequent leapfrogging and edge expansion toward peripheral counties and transportation corridors; (3) The expansion of construction land occurred alongside substantial losses of wetland and cultivated land. Between 2000 and 2020, the conversion of cultivated land to construction land increased significantly, particularly during 2010–2020 when cultivated land conversion accounted for 93.76% of newly developed construction land. Wetland conversion also showed notable growth during this period, comprising 3.86% of total newly added construction land; (4) Foreign direct investment (FDI) served as the primary catalyst, while industrial park development and transport infrastructure projects functioned as secondary accelerants. This study constructed a framework to systematically analyze the global and local driving mechanisms of metropolitan land expansion. The findings deepen the understanding of land-use transitions in emerging countries and provide both theoretical support and policy references for sustainable land management.
Open AccessTracking the Construction Land Expansion and Its Dynamics of Ho Chi Minh City Metropolitan Area in Vietnam
International industrial transfer has driven rapid construction land expansion in emerging metropolitan areas, posing challenges for sustainable land management. However, existing research has largely overlooked the spatiotemporal patterns and driving mechanisms of this expansion, particularly in Southeast Asian metropolitan regions. To address this gap, we focused on the Ho Chi Minh City metropolitan area, utilizing construction land data from GLC_FCS30D to analyze the dynamics of construction land expansion during this period. Findings indicated that: (1) Continuous expansion of construction land, with the expansion rate during 2010–2020 being five times that of 2000–2010; (2) The spatial pattern evolved from initial infilling development in urban cores to subsequent leapfrogging and edge expansion toward peripheral counties and transportation corridors; (3) The expansion of construction land occurred alongside substantial losses of wetland and cultivated land. Between 2000 and 2020, the conversion of cultivated land to construction land increased significantly, particularly during 2010–2020 when cultivated land conversion accounted for 93.76% of newly developed construction land. Wetland conversion also showed notable growth during this period, comprising 3.86% of total newly added construction land; (4) Foreign direct investment (FDI) served as the primary catalyst, while industrial park development and transport infrastructure projects functioned as secondary accelerants. This study constructed a framework to systematically analyze the global and local driving mechanisms of metropolitan land expansion. The findings deepen the understanding of land-use transitions in emerging countries and provide both theoretical support and policy references for sustainable land management.
- Open Access
Spatio-Temporal Patterns of Land Use and Cover Change in the Lancang–Mekong River Basin during 2000–2020
Exploring the mechanisms that drive land use and cover change (LUCC) is essential for informing the formulation and implementation of effective policies aimed at optimizing land use patterns. In this study, we examined the spatial and temporal patterns of LUCC within the Lancang–Mekong River Basin (LMRB) using Globeland30 data for the years 2000, 2010, and 2020. Firstly, we analyzed the quantitative characteristics of LUCC within the LMRB in terms of the value of change and rate of change. Additionally, we investigated the converting characteristics of LUCC within the LMRB by employing land use transition matrices and land use transition probability matrices. Furthermore, we depicted the spatial distribution of LUCC within the LMRB through land use mapping and statistical analysis. The results indicate a substantial decline in forests, coupled with a notable expansion in cultivated land. Given the vital role of forests as carbon sinks, reforestation can enhance ecological services and address challenges related to climate change. Converting cultivated land to forests is an effective human intervention promoting forest transition. This study applies binary logistic models to explore the mechanisms that influence the conversion from cultivated land to forests. The results reveal that slopes ranging from 5° to 15° have the lowest probability of conversion, whereas distances between the cultivated land and the nearest tourist attraction ranging from 9 km to 18 km have the highest probability. Moreover, the conversion process is positively associated with traffic conditions and significantly influenced by human interventions. Within the study area, China, Laos, and Myanmar show a tendency to convert cultivated land into natural LULC types, while Cambodia, Thailand, and Vietnam tend to encroach on cultivated land and expand artificial surfaces. Promoting ecological restoration in the LMRB requires cooperation among these countries.
Open AccessSpatio-Temporal Patterns of Land Use and Cover Change in the Lancang–Mekong River Basin during 2000–2020
Exploring the mechanisms that drive land use and cover change (LUCC) is essential for informing the formulation and implementation of effective policies aimed at optimizing land use patterns. In this study, we examined the spatial and temporal patterns of LUCC within the Lancang–Mekong River Basin (LMRB) using Globeland30 data for the years 2000, 2010, and 2020. Firstly, we analyzed the quantitative characteristics of LUCC within the LMRB in terms of the value of change and rate of change. Additionally, we investigated the converting characteristics of LUCC within the LMRB by employing land use transition matrices and land use transition probability matrices. Furthermore, we depicted the spatial distribution of LUCC within the LMRB through land use mapping and statistical analysis. The results indicate a substantial decline in forests, coupled with a notable expansion in cultivated land. Given the vital role of forests as carbon sinks, reforestation can enhance ecological services and address challenges related to climate change. Converting cultivated land to forests is an effective human intervention promoting forest transition. This study applies binary logistic models to explore the mechanisms that influence the conversion from cultivated land to forests. The results reveal that slopes ranging from 5° to 15° have the lowest probability of conversion, whereas distances between the cultivated land and the nearest tourist attraction ranging from 9 km to 18 km have the highest probability. Moreover, the conversion process is positively associated with traffic conditions and significantly influenced by human interventions. Within the study area, China, Laos, and Myanmar show a tendency to convert cultivated land into natural LULC types, while Cambodia, Thailand, and Vietnam tend to encroach on cultivated land and expand artificial surfaces. Promoting ecological restoration in the LMRB requires cooperation among these countries.
- Open Access
Exploring the Spatial Heterogeneity of Rural Development in Laos Based on Rural Building Spatial Database
The countryside is the principal area of population agglomeration with a high incidence of global poverty problems. As a shelter for the daily life of rural inhabitants, the rural buildings constitute the element of rural settlements. Moreover, they can directly characterize the level of rural development. Therefore, in the new stage of the Sustainable Development Goals (SDGs), this study selected Laos as the main study area and investigated the effect of different factors on the spatial heterogeneity of rural development based on the rural building spatial database. With the geodetector, the results are summarized as follows: (1) The spatial pattern of rural buildings in different regions of Laos varies significantly, with hot spots areas of rural buildings mainly located in the central and southern regions, while cold spots areas are mainly concentrated in the northern region. (2) Slope, transport infrastructure, and public service are the dominant elements influencing the spatial differentiation of rural buildings in Laos, but spatial heterogeneity existed in different regions of factors. (3) The interaction detector shows that slope ∩ road is the dominant interaction factor influencing the spatial distribution pattern of rural buildings nationwide, and there are marked divergences in the interaction factors. Finally, this study combines the findings to propose corresponding countermeasures for promoting the development and construction of rural areas in Laos.
Open AccessExploring the Spatial Heterogeneity of Rural Development in Laos Based on Rural Building Spatial Database
The countryside is the principal area of population agglomeration with a high incidence of global poverty problems. As a shelter for the daily life of rural inhabitants, the rural buildings constitute the element of rural settlements. Moreover, they can directly characterize the level of rural development. Therefore, in the new stage of the Sustainable Development Goals (SDGs), this study selected Laos as the main study area and investigated the effect of different factors on the spatial heterogeneity of rural development based on the rural building spatial database. With the geodetector, the results are summarized as follows: (1) The spatial pattern of rural buildings in different regions of Laos varies significantly, with hot spots areas of rural buildings mainly located in the central and southern regions, while cold spots areas are mainly concentrated in the northern region. (2) Slope, transport infrastructure, and public service are the dominant elements influencing the spatial differentiation of rural buildings in Laos, but spatial heterogeneity existed in different regions of factors. (3) The interaction detector shows that slope ∩ road is the dominant interaction factor influencing the spatial distribution pattern of rural buildings nationwide, and there are marked divergences in the interaction factors. Finally, this study combines the findings to propose corresponding countermeasures for promoting the development and construction of rural areas in Laos.
- Open Access
Examining the Spatial Variations of Land Use Change and Its Impact Factors in a Coastal Area in Vietnam
Controlling land use change in coastal areas is one of the world’s sustainable development goals and a great challenge. Existing research includes in-depth studies of land use change in relatively developed regions, but research on economically less developed but fast-growing regions is lacking. Since the reform and opening up in Vietnam, the influences of globalization have prompted the economy of the coastal area to develop rapidly, making it one of the less developed but rapidly developing regions where human activities and global changes vigorously interact. Therefore, taking the coastal area of Vietnam as the study area, we used the land use change index and random forest model to analyze the spatial variations of land use change and its impact factors. The research shows that: (1) land use shows a trend of continuous and rapid increase in construction land, with the proportion of construction land increasing from 2.72% in 2000 to 4.40% in 2020. However, natural landscapes, such as forests and grasslands, are decreasing. (2) Land use also shows obvious spatial variation characteristics, which are mainly manifested in the differences in change rate, development intensity, and distribution characteristics. Among them, the region with the largest rate of change was the Central Coastal Area. The region with the highest development intensity is the Mekong River Delta. (3) The main factors affecting land use change are foreign direct investment (FDI), the industrialization index, and population. Based on that, we analyzed the mechanism influencing the above factors from the perspectives of urbanization and population growth, and industrialization and park construction, as well as globalization and FDI, which can explain well the relationship between the impact factors and the spatial variation. This study can provide a valuable decision-making reference for formulating reasonable regional land development policies and is a good example of land use research for other rapidly developing areas.
Open AccessExamining the Spatial Variations of Land Use Change and Its Impact Factors in a Coastal Area in Vietnam
Controlling land use change in coastal areas is one of the world’s sustainable development goals and a great challenge. Existing research includes in-depth studies of land use change in relatively developed regions, but research on economically less developed but fast-growing regions is lacking. Since the reform and opening up in Vietnam, the influences of globalization have prompted the economy of the coastal area to develop rapidly, making it one of the less developed but rapidly developing regions where human activities and global changes vigorously interact. Therefore, taking the coastal area of Vietnam as the study area, we used the land use change index and random forest model to analyze the spatial variations of land use change and its impact factors. The research shows that: (1) land use shows a trend of continuous and rapid increase in construction land, with the proportion of construction land increasing from 2.72% in 2000 to 4.40% in 2020. However, natural landscapes, such as forests and grasslands, are decreasing. (2) Land use also shows obvious spatial variation characteristics, which are mainly manifested in the differences in change rate, development intensity, and distribution characteristics. Among them, the region with the largest rate of change was the Central Coastal Area. The region with the highest development intensity is the Mekong River Delta. (3) The main factors affecting land use change are foreign direct investment (FDI), the industrialization index, and population. Based on that, we analyzed the mechanism influencing the above factors from the perspectives of urbanization and population growth, and industrialization and park construction, as well as globalization and FDI, which can explain well the relationship between the impact factors and the spatial variation. This study can provide a valuable decision-making reference for formulating reasonable regional land development policies and is a good example of land use research for other rapidly developing areas.