Offshore Island Connection Line: A new perspective of coastal urban development boundary simulation and multi-scenario prediction
The urban development boundary (UDB) is a core issue in territorial spatial planning and remains a research focus in urban development. However, in the past, land use simulations of coastal cities have had some limitations. For example, new urban land outside the research boundary could not be effec...
| Main Authors: | , , , , , , |
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| Format: | Article |
| Language: | English |
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Taylor & Francis Group
2022-12-01
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| Series: | GIScience & Remote Sensing |
| Subjects: | |
| Online Access: | http://dx.doi.org/10.1080/15481603.2022.2071056 |
| _version_ | 1797679002433880064 |
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| author | Fei He Jun Yang Yuqing Zhang Dongqi Sun Li Wang Xiangming Xiao Jianhong (Cecilia) Xia |
| author_facet | Fei He Jun Yang Yuqing Zhang Dongqi Sun Li Wang Xiangming Xiao Jianhong (Cecilia) Xia |
| author_sort | Fei He |
| collection | DOAJ |
| description | The urban development boundary (UDB) is a core issue in territorial spatial planning and remains a research focus in urban development. However, in the past, land use simulations of coastal cities have had some limitations. For example, new urban land outside the research boundary could not be effectively simulated, resulting in a large gap between the simulation results and reality. In this study, an artificial neural network (ANN) cellular automata (CA) model based on a new perspective, the Offshore Island Connection Line (collectively, OICL-ANN-CA), was developed to address this problem. We first proposed the delineation principles and methods of OICL and applied it to the Jinpu New Area of Dalian City, Liaoning Province, China. Based on the conversion probability and land use simulation results obtained by ANN and CA, this study validated the UDB simulations for 2000–2020 in the Jinpu New Area and predicted the UDB for 2020–2035 under three scenarios: historical inertia development, ecological security protection, and ecological and economic balance. The results indicate that, compared with the traditional perspective model (the ANN-CA model based on the sea–land boundary), the OICL-ANN-CA model exhibited better simulation accuracy (the figure of merit was approximately 35% higher) and effectively simulated new urban land outside the traditional boundary. This simulation of urban land expansion is more consistent with recent development in the study area. In addition, the predicted results of UDB in 2035 also demonstrate the benefits of this model for detecting reclaimed land. This study illustrates that the OICL-ANN-CA model is a more capable method for capturing changes in new coastal urban land and can produce realistic simulations. It provides a reference for delimiting the UDB and defining the research boundary for the Jinpu New Area and other fast-growing coastal cities in China. |
| first_indexed | 2024-03-11T23:08:05Z |
| format | Article |
| id | doaj.art-0e4ac0b43a424d38a062817656ac4dc4 |
| institution | Directory Open Access Journal |
| issn | 1548-1603 1943-7226 |
| language | English |
| last_indexed | 2024-03-11T23:08:05Z |
| publishDate | 2022-12-01 |
| publisher | Taylor & Francis Group |
| record_format | Article |
| series | GIScience & Remote Sensing |
| spelling | doaj.art-0e4ac0b43a424d38a062817656ac4dc42023-09-21T12:43:08ZengTaylor & Francis GroupGIScience & Remote Sensing1548-16031943-72262022-12-0159180182110.1080/15481603.2022.20710562071056Offshore Island Connection Line: A new perspective of coastal urban development boundary simulation and multi-scenario predictionFei He0Jun Yang1Yuqing Zhang2Dongqi Sun3Li Wang4Xiangming Xiao5Jianhong (Cecilia) Xia6School of Geographical Sciences, Liaoning Normal UniversitySchool of Geographical Sciences, Liaoning Normal UniversitySchool of Geographical Sciences, Liaoning Normal UniversityKey Laboratory of Regional Sustainable Development Modeling, Institute of Geographic Sciences and Natural Resources ResearchSchool of Geographical Sciences, Liaoning Normal UniversityDepartment of Microbiology and Plant Biology, Center for Spatial Analysis, University of OklahomaSchool of Earth and Planetary Sciences (EPS), Curtin UniversityThe urban development boundary (UDB) is a core issue in territorial spatial planning and remains a research focus in urban development. However, in the past, land use simulations of coastal cities have had some limitations. For example, new urban land outside the research boundary could not be effectively simulated, resulting in a large gap between the simulation results and reality. In this study, an artificial neural network (ANN) cellular automata (CA) model based on a new perspective, the Offshore Island Connection Line (collectively, OICL-ANN-CA), was developed to address this problem. We first proposed the delineation principles and methods of OICL and applied it to the Jinpu New Area of Dalian City, Liaoning Province, China. Based on the conversion probability and land use simulation results obtained by ANN and CA, this study validated the UDB simulations for 2000–2020 in the Jinpu New Area and predicted the UDB for 2020–2035 under three scenarios: historical inertia development, ecological security protection, and ecological and economic balance. The results indicate that, compared with the traditional perspective model (the ANN-CA model based on the sea–land boundary), the OICL-ANN-CA model exhibited better simulation accuracy (the figure of merit was approximately 35% higher) and effectively simulated new urban land outside the traditional boundary. This simulation of urban land expansion is more consistent with recent development in the study area. In addition, the predicted results of UDB in 2035 also demonstrate the benefits of this model for detecting reclaimed land. This study illustrates that the OICL-ANN-CA model is a more capable method for capturing changes in new coastal urban land and can produce realistic simulations. It provides a reference for delimiting the UDB and defining the research boundary for the Jinpu New Area and other fast-growing coastal cities in China.http://dx.doi.org/10.1080/15481603.2022.2071056urban development boundarycellular automatageographical simulation and optimization systemsscenario simulationjinpu new area |
| spellingShingle | Fei He Jun Yang Yuqing Zhang Dongqi Sun Li Wang Xiangming Xiao Jianhong (Cecilia) Xia Offshore Island Connection Line: A new perspective of coastal urban development boundary simulation and multi-scenario prediction GIScience & Remote Sensing urban development boundary cellular automata geographical simulation and optimization systems scenario simulation jinpu new area |
| title | Offshore Island Connection Line: A new perspective of coastal urban development boundary simulation and multi-scenario prediction |
| title_full | Offshore Island Connection Line: A new perspective of coastal urban development boundary simulation and multi-scenario prediction |
| title_fullStr | Offshore Island Connection Line: A new perspective of coastal urban development boundary simulation and multi-scenario prediction |
| title_full_unstemmed | Offshore Island Connection Line: A new perspective of coastal urban development boundary simulation and multi-scenario prediction |
| title_short | Offshore Island Connection Line: A new perspective of coastal urban development boundary simulation and multi-scenario prediction |
| title_sort | offshore island connection line a new perspective of coastal urban development boundary simulation and multi scenario prediction |
| topic | urban development boundary cellular automata geographical simulation and optimization systems scenario simulation jinpu new area |
| url | http://dx.doi.org/10.1080/15481603.2022.2071056 |
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