Fenzhen Su
Biographic Data
| ID | 4464670 |
|---|---|
| NAME | Fenzhen Su |
| GIVEN NAMES | Fenzhen |
| FAMILY NAME | Su |
| SIGNATURE | SU F |
| AFFILIATIONS | Chinese Academy of Sciences |
| ORCID | 0000-0003-4972-3595 |
| VERIFIED | Yes |
| TOTAL WORKS | 14 |
| TOTAL CITATIONS | 1 |
| AUTHOR COUNT | 14 |
| EDITOR COUNT | 0 |
| FIRST PUBLICATION YEAR | 2020 |
| LATEST PUBLICATION YEAR | 2026 |
| H-INDEX | 1 |
Multi-Scenario Simulation of Low-Carbon Land Use Using an Integrated NSGA-III–PLUS Framework in Coastal Urban Agglomerations
Rapid urban expansion poses growing challenges for balancing carbon emissions (CE), economic development, and ecological protection, particularly in coastal urban agglomerations. Although optimization–simulation approaches have been widely applied, explicit consideration of low-carbon objectives remains limited. To address this gap, this study proposes an integrated non-dominated sorting genetic algorithm III (NSGA-III)–patch-generating land use …
Balancing on carbon storage and ecological security in urban areas: The case of Dongguan city, China
Land-use changes from rapid coastal urban expansion fragments ecosystems and reduces carbon storage. Current and future national urban policies must therefore enhance carbon sink functions of ecosystems while maintaining spatial ecological structure networks. Here, we assessed current policies against future scenarios using systems thinking and land-use change simulation coupled to carbon-storage accounting. Three future scenarios for Dongguan Ci…
A New Framework for Integrating DNN-Based Geographic Simulation Models within GISystems
As a crucial spatial decision support tool, Geographic Information Systems (GISystems) are widely used in fields such as digital watersheds, resource management, environmental assessment, and regional governance, with their core strength lying in the integration of geographic simulation models from various disciplines, enabling the analysis of complex geographical phenomena and the resolution of comprehensive spatial problems. With the rapid adva…
Regimes of global and national oil palm cultivations from 2001 to 2018
Morphology changes and the expansion of major port cities in the Philippines from 1990 to 2020
Mining the Sequence Pattern of Functional Zones to Analyze the Spatial Layout of Port Cites in Coastal Zones
To study the impact of port changes on the urban functional structure and reveal the interactive relationship between ports and cities, a functional sequence extraction model (FSEM) is constructed in this study. The model employs a fan-shaped sampling method to divide experimental areas, extracts the functional zone sequence from sea to land along each sample line to establish the sample data set and mines the optimal functional sequence in each …
Sea Reclamation in Mainland China: Process, Pattern, and Management
Optimization of multi-objective multi-functional landuse zoning using a vector-based genetic algorithm
AIS and VBD Data Fusion for Marine Fishing Intensity Mapping and Analysis in the Northern Part of the South China Sea
For the sustainable development of marine fishery resources, it is essential to comprehensively, accurately, and objectively obtain the spatial characteristics and evolution law of fishing intensity. However, previous studies have focused more on the use of single data sources, such as AIS (Automatic Information System) and VBD (VIIRS boat detection), to obtain fishing intensity information and, as such, have encountered some problems, such as in…
Practical Efficient Regional Land-Use Planning Using Constrained Multi-Objective Genetic Algorithm Optimization
Practical efficient regional land-use planning requires planners to balance competing uses, regional policies, spatial compatibilities, and priorities across the social, economic, and ecological domains. Genetic algorithm optimization has progressed complex planning, but challenges remain in developing practical alternatives to random initialization, genetic mutations, and to pragmatically balance competing objectives. To meet these practical nee…
Covid-19: Challenges to GIS with Big Data
The outbreak of the 2019 novel coronavirus disease (COVID-19) has caused more than 100,000 people infected and thousands of deaths. Currently, the number of infections and deaths is still increasing rapidly. COVID-19 seriously threatens human health, production, life, social functioning and international relations. In the fight against COVID-19, Geographic Information Systems (GIS) and big data technologies have played an important role in many a…
Spatial–Temporal Evolution and Analysis of the Driving Force of Oil Palm Patterns in Malaysia from 2000 to 2018
Oil palm is the main cash crop grown in Malaysia, and palm oil plays an important role in the world oil market. A number of studies have used multisource remote sensing data to conduct research on oil palms in Malaysia, but there are a lack of long-term oil palm mapping studies, especially when the percentage of oil palm tree cover was higher than other plantations in Malaysia during the period of 2000–2012. To overcome this limitation, we used t…
Spatial Pattern of Construction Land Distribution in Bays along the Coast of Vietnam
Current studies of urban spatial morphology have rarely focused on the particularity of coastal cities, such as sea–land gradient features and bay types. In this paper, we provide a method to analyze the spatial and vertical distribution of construction land in the bay area and discuss the influence of bay type on the distribution characteristics. Landscape indexes and a clustering algorithm were used to identify the spatial pattern of constructi…
Spatial Mismatch between the Supply and Demand of Urban Leisure Services with Multisource Open Data
Understanding the balance between the supply and demand of leisure services (LSs) in urban areas can benefit urban spatial planning and improve the quality of life of residents. In cities in developing countries, the pursuit of rapid economic growth has ignored residents’ demand for LSs, thereby leading to a high demand for and short supply of these services. However, due to the lack of relevant research data, few studies have focused on the spat…
Covid-19: Challenges to GIS with Big Data
The outbreak of the 2019 novel coronavirus disease (COVID-19) has caused more than 100,000 people infected and thousands of deaths. Currently, the number of infections and deaths is still increasing rapidly. COVID-19 seriously threatens human health, production, life, social functioning and international relations. In the fight against COVID-19, Geographic Information Systems (GIS) and big data technologies have played an important role in many a…
Spatial–Temporal Evolution and Analysis of the Driving Force of Oil Palm Patterns in Malaysia from 2000 to 2018
Oil palm is the main cash crop grown in Malaysia, and palm oil plays an important role in the world oil market. A number of studies have used multisource remote sensing data to conduct research on oil palms in Malaysia, but there are a lack of long-term oil palm mapping studies, especially when the percentage of oil palm tree cover was higher than other plantations in Malaysia during the period of 2000–2012. To overcome this limitation, we used t…
Spatial Pattern of Construction Land Distribution in Bays along the Coast of Vietnam
Current studies of urban spatial morphology have rarely focused on the particularity of coastal cities, such as sea–land gradient features and bay types. In this paper, we provide a method to analyze the spatial and vertical distribution of construction land in the bay area and discuss the influence of bay type on the distribution characteristics. Landscape indexes and a clustering algorithm were used to identify the spatial pattern of constructi…
Spatial Mismatch between the Supply and Demand of Urban Leisure Services with Multisource Open Data
Understanding the balance between the supply and demand of leisure services (LSs) in urban areas can benefit urban spatial planning and improve the quality of life of residents. In cities in developing countries, the pursuit of rapid economic growth has ignored residents’ demand for LSs, thereby leading to a high demand for and short supply of these services. However, due to the lack of relevant research data, few studies have focused on the spat…
AIS and VBD Data Fusion for Marine Fishing Intensity Mapping and Analysis in the Northern Part of the South China Sea
For the sustainable development of marine fishery resources, it is essential to comprehensively, accurately, and objectively obtain the spatial characteristics and evolution law of fishing intensity. However, previous studies have focused more on the use of single data sources, such as AIS (Automatic Information System) and VBD (VIIRS boat detection), to obtain fishing intensity information and, as such, have encountered some problems, such as in…
Practical Efficient Regional Land-Use Planning Using Constrained Multi-Objective Genetic Algorithm Optimization
Practical efficient regional land-use planning requires planners to balance competing uses, regional policies, spatial compatibilities, and priorities across the social, economic, and ecological domains. Genetic algorithm optimization has progressed complex planning, but challenges remain in developing practical alternatives to random initialization, genetic mutations, and to pragmatically balance competing objectives. To meet these practical nee…
Mining the Sequence Pattern of Functional Zones to Analyze the Spatial Layout of Port Cites in Coastal Zones
To study the impact of port changes on the urban functional structure and reveal the interactive relationship between ports and cities, a functional sequence extraction model (FSEM) is constructed in this study. The model employs a fan-shaped sampling method to divide experimental areas, extracts the functional zone sequence from sea to land along each sample line to establish the sample data set and mines the optimal functional sequence in each …
Sea Reclamation in Mainland China: Process, Pattern, and Management
Optimization of multi-objective multi-functional landuse zoning using a vector-based genetic algorithm
A New Framework for Integrating DNN-Based Geographic Simulation Models within GISystems
As a crucial spatial decision support tool, Geographic Information Systems (GISystems) are widely used in fields such as digital watersheds, resource management, environmental assessment, and regional governance, with their core strength lying in the integration of geographic simulation models from various disciplines, enabling the analysis of complex geographical phenomena and the resolution of comprehensive spatial problems. With the rapid adva…
Regimes of global and national oil palm cultivations from 2001 to 2018
Morphology changes and the expansion of major port cities in the Philippines from 1990 to 2020
Balancing on carbon storage and ecological security in urban areas: The case of Dongguan city, China
Land-use changes from rapid coastal urban expansion fragments ecosystems and reduces carbon storage. Current and future national urban policies must therefore enhance carbon sink functions of ecosystems while maintaining spatial ecological structure networks. Here, we assessed current policies against future scenarios using systems thinking and land-use change simulation coupled to carbon-storage accounting. Three future scenarios for Dongguan Ci…
Multi-Scenario Simulation of Low-Carbon Land Use Using an Integrated NSGA-III–PLUS Framework in Coastal Urban Agglomerations
Rapid urban expansion poses growing challenges for balancing carbon emissions (CE), economic development, and ecological protection, particularly in coastal urban agglomerations. Although optimization–simulation approaches have been widely applied, explicit consideration of low-carbon objectives remains limited. To address this gap, this study proposes an integrated non-dominated sorting genetic algorithm III (NSGA-III)–patch-generating land use …
Geography (11 works) · Computer Science (8 works) · Ecology (6 works) · Land Use and Ecosystem Services (6 works) · Biology (5 works) · Environmental Science (5 works) · China (4 works) · Business (3 works) · Data mining (3 works) · Economics (3 works)