The current spatial layout of video surveillance in urban residential areas primarily relies on the subjective assessments of personnel,which often results in issues like inadequate surveillance quality and inefficien...The current spatial layout of video surveillance in urban residential areas primarily relies on the subjective assessments of personnel,which often results in issues like inadequate surveillance quality and inefficient resource use.To enhance monitoring effectiveness and ensure the rational allocation of surveillance resources,this paper proposes an optimization method for the spatial layout of residential video surveillance aimed at crime prevention.First,the residential area is divided into grids.From a crime prevention perspective,we construct an expected resource allocation matrix that outlines the demand for surveillance in each grid section.Next,we develop a surveillance resource contribution matrix to illustrate the coverage provided by the video surveillance systems.Additionally,candidate locations for surveillance cameras are identified based on the spatial structure of the residential area,ensuring that buildings do not obstruct the view.Using these components,we establish a spatial layout optimization model for residential video surveillance,which is then solved using a genetic algorithm.Finally,we present a simulation example to demonstrate the model’s applicability and effectiveness in enhancing the quality of residential video surveillance networks while optimizing resource allocation.展开更多
The delimitation of urban development boundaries plays an important role in optimizing the nation land space.“Double evaluation”is one of the important means to study and predict the scale of new construction land i...The delimitation of urban development boundaries plays an important role in optimizing the nation land space.“Double evaluation”is one of the important means to study and predict the scale of new construction land in the future and to determine the spatial distribution of urban construction land.This study combines the“double evaluation”with the FLUS(Future Land-Use Simulation)model to study the delimitation of the urban development boundary of Yichang.The results show that:(1)the“double evaluation”method comprehensively considers the carrying capacity of the resource environmental bear and the suitability of urban development;(2)the FLUS model can better couple the“double evaluation”method for Land Use/Land Cover(LULC)suitability evaluation,Land Use/land Cover Change(LUCC)simulation and urban development boundary delineation,and the overall accuracy of the simulation reaches 96%;(3)according to the requirements of relevant national policies,this study divides the urban development boundary of the study area into concentrated construction areas,elastic development areas and special purpose areas.This function-based division can meet the requirements of urban flexible development,ecological protection and urban safety.This research combines the FLUS model,which is widely used in the simulation of LUCC,with the double evaluation method used in China’s new round of land and space planning to obtain the result of the urban development boundary.This result is consistent with the existing plan of the study area.展开更多
基金Funded by Research Project of the Chinese Society of Criminology in 2022 (Key)(FZXXH2022B03)Science and Technology Development Project of China Railway Sixth Institute Group Co.,Ltd.(Key)(ky202423)Research Project on Innovative Development of Social Sciences in Anhui Province (2020CX033)。
文摘The current spatial layout of video surveillance in urban residential areas primarily relies on the subjective assessments of personnel,which often results in issues like inadequate surveillance quality and inefficient resource use.To enhance monitoring effectiveness and ensure the rational allocation of surveillance resources,this paper proposes an optimization method for the spatial layout of residential video surveillance aimed at crime prevention.First,the residential area is divided into grids.From a crime prevention perspective,we construct an expected resource allocation matrix that outlines the demand for surveillance in each grid section.Next,we develop a surveillance resource contribution matrix to illustrate the coverage provided by the video surveillance systems.Additionally,candidate locations for surveillance cameras are identified based on the spatial structure of the residential area,ensuring that buildings do not obstruct the view.Using these components,we establish a spatial layout optimization model for residential video surveillance,which is then solved using a genetic algorithm.Finally,we present a simulation example to demonstrate the model’s applicability and effectiveness in enhancing the quality of residential video surveillance networks while optimizing resource allocation.
基金Natural Science Foundation of Hubei Province(No.2021CFB402)Key Laboratory of National Geographic Census and Monitoring,Ministry of Natural Resources(No.2020NGCMZD03)。
文摘The delimitation of urban development boundaries plays an important role in optimizing the nation land space.“Double evaluation”is one of the important means to study and predict the scale of new construction land in the future and to determine the spatial distribution of urban construction land.This study combines the“double evaluation”with the FLUS(Future Land-Use Simulation)model to study the delimitation of the urban development boundary of Yichang.The results show that:(1)the“double evaluation”method comprehensively considers the carrying capacity of the resource environmental bear and the suitability of urban development;(2)the FLUS model can better couple the“double evaluation”method for Land Use/Land Cover(LULC)suitability evaluation,Land Use/land Cover Change(LUCC)simulation and urban development boundary delineation,and the overall accuracy of the simulation reaches 96%;(3)according to the requirements of relevant national policies,this study divides the urban development boundary of the study area into concentrated construction areas,elastic development areas and special purpose areas.This function-based division can meet the requirements of urban flexible development,ecological protection and urban safety.This research combines the FLUS model,which is widely used in the simulation of LUCC,with the double evaluation method used in China’s new round of land and space planning to obtain the result of the urban development boundary.This result is consistent with the existing plan of the study area.
