FRINK Linked Data Fragments server

Matches in SemOpenAlex for { <https://semopenalex.org/work/W4315865182> ?p ?o ?g. }

• W4315865182 endingPage "22" @default.
• W4315865182 startingPage "22" @default.
• W4315865182 abstract "Land use change (LUC) can be affected by investment growth and planning policies under the context of regional economic cooperation and development. Previous studies on land use simulation mostly emphasized the effects of local socioeconomic factors and planning constraint areas that prevent land conversions. However, investment and national planning policies that trigger regional LUC were often ignored. This study aims to couple the economic theory-based Computable General Equilibrium of Land Use Change (CGELUC) model and the cellular automata-based Future Land Use Simulation (FLUS) model to incorporate macroscopic impacts of investment into land use simulation, while proposing an updated mechanism that integrates into the FLUS model to consider the local impacts of planning policies. Taking Myanmar as a case, the method was applied to project the land use patterns (LUPs) during 2017–2050 under three scenarios: baseline, fast, and harmonious development. Specifically, the simulated land use structure (LUS) in 2018 acquired by the CGELUC model was verified by the existing data, and the future LUSs under different scenarios were projected later. Simultaneously, the consistencies between the results simulated by the FLUS model and land use maps in 2013, 2015, and 2017 were represented by the kappa coefficient. The updated mechanism was applied to update the Probability-of-Occurrence (PoO) surfaces based on the planning railway networks and special economic zone. Lastly, the LUPs under different scenarios were projected based on the future LUSs and updated PoO surfaces. Results reveal that the validation accuracy reaches 96.87% for the simulated LUS, and satisfactory accuracies of the simulated LUPs are obtained (kappa coefficients > 0.83). The updated mechanism increases the mean PoO values of built-up land in areas affected by planning policies (increasing by 0.01 to 0.21), indicating the importance of the planning policies in simulation. The cultivated land and built-up land increase with investment increasing under all three scenarios. The harmonious development scenario, showing the least forest encroachment and the highest diversity of LUP, is the optimal approach to achieve land sustainability. This study highlights the impacts of investment and planning policies on future LUCs of Myanmar, and a dynamic simulation process is expected to minimize the uncertainties of the input data and model in the future work." @default.
• W4315865182 created "2023-01-13" @default.
• W4315865182 creator A5010158854 @default.
• W4315865182 creator A5019197462 @default.
• W4315865182 creator A5057087900 @default.
• W4315865182 creator A5069838647 @default.
• W4315865182 creator A5070429242 @default.
• W4315865182 date "2023-01-13" @default.
• W4315865182 modified "2023-10-03" @default.
• W4315865182 title "Modeling the Impact of Investment and National Planning Policies on Future Land Use Development: A Case Study for Myanmar" @default.
• W4315865182 cites W1985076527 @default.
• W4315865182 cites W1994619150 @default.
• W4315865182 cites W2011751105 @default.
• W4315865182 cites W2014531611 @default.
• W4315865182 cites W2022725562 @default.
• W4315865182 cites W2029945928 @default.
• W4315865182 cites W2052537819 @default.
• W4315865182 cites W2055804058 @default.
• W4315865182 cites W2061640970 @default.
• W4315865182 cites W2089892649 @default.
• W4315865182 cites W2095654750 @default.
• W4315865182 cites W2099908874 @default.
• W4315865182 cites W2106974739 @default.
• W4315865182 cites W2130621597 @default.
• W4315865182 cites W2130687369 @default.
• W4315865182 cites W2141839736 @default.
• W4315865182 cites W2146957936 @default.
• W4315865182 cites W2150115544 @default.
• W4315865182 cites W2203056123 @default.
• W4315865182 cites W2504634016 @default.
• W4315865182 cites W2540611206 @default.
• W4315865182 cites W2614183691 @default.
• W4315865182 cites W2751564157 @default.
• W4315865182 cites W2753423014 @default.
• W4315865182 cites W2766051419 @default.
• W4315865182 cites W2766529052 @default.
• W4315865182 cites W2782661382 @default.
• W4315865182 cites W2782928193 @default.
• W4315865182 cites W2788152243 @default.
• W4315865182 cites W2791235380 @default.
• W4315865182 cites W2800504333 @default.
• W4315865182 cites W2806269426 @default.
• W4315865182 cites W2886877128 @default.
• W4315865182 cites W2912385725 @default.
• W4315865182 cites W2918499577 @default.
• W4315865182 cites W2951768252 @default.
• W4315865182 cites W2970938329 @default.
• W4315865182 cites W2990173008 @default.
• W4315865182 cites W3000355687 @default.
• W4315865182 cites W3013473194 @default.
• W4315865182 cites W3039723956 @default.
• W4315865182 cites W3087540443 @default.
• W4315865182 cites W3110856481 @default.
• W4315865182 cites W3122352174 @default.
• W4315865182 cites W3138410276 @default.
• W4315865182 cites W3186527474 @default.
• W4315865182 cites W3201537121 @default.
• W4315865182 cites W4310015333 @default.
• W4315865182 doi "https://doi.org/10.3390/ijgi12010022" @default.
• W4315865182 hasPublicationYear "2023" @default.
• W4315865182 type Work @default.
• W4315865182 citedByCount "4" @default.
• W4315865182 countsByYear W43158651822023 @default.
• W4315865182 crossrefType "journal-article" @default.
• W4315865182 hasAuthorship W4315865182A5010158854 @default.
• W4315865182 hasAuthorship W4315865182A5019197462 @default.
• W4315865182 hasAuthorship W4315865182A5057087900 @default.
• W4315865182 hasAuthorship W4315865182A5069838647 @default.
• W4315865182 hasAuthorship W4315865182A5070429242 @default.
• W4315865182 hasBestOaLocation W43158651821 @default.
• W4315865182 hasConcept C107826830 @default.
• W4315865182 hasConcept C122690726 @default.
• W4315865182 hasConcept C12725497 @default.
• W4315865182 hasConcept C127413603 @default.
• W4315865182 hasConcept C134560507 @default.
• W4315865182 hasConcept C144133560 @default.
• W4315865182 hasConcept C147176958 @default.
• W4315865182 hasConcept C162324750 @default.
• W4315865182 hasConcept C166957645 @default.
• W4315865182 hasConcept C175444787 @default.
• W4315865182 hasConcept C175605778 @default.
• W4315865182 hasConcept C17744445 @default.
• W4315865182 hasConcept C184603391 @default.
• W4315865182 hasConcept C199539241 @default.
• W4315865182 hasConcept C20522121 @default.
• W4315865182 hasConcept C205649164 @default.
• W4315865182 hasConcept C27548731 @default.
• W4315865182 hasConcept C2776036281 @default.
• W4315865182 hasConcept C2778348673 @default.
• W4315865182 hasConcept C2778865806 @default.
• W4315865182 hasConcept C2779343474 @default.
• W4315865182 hasConcept C41008148 @default.
• W4315865182 hasConcept C42475967 @default.
• W4315865182 hasConcept C4792198 @default.
• W4315865182 hasConcept C78519656 @default.
• W4315865182 hasConcept C91375879 @default.
• W4315865182 hasConcept C94625758 @default.
• W4315865182 hasConceptScore W4315865182C107826830 @default.

• next