Urban agglomerations are spatial entities that promote the development of ‘new urbanization' processes within China. In this context, the concept of ‘multiscale urban agglomeration spaces' encompasses three ...Urban agglomerations are spatial entities that promote the development of ‘new urbanization' processes within China. In this context, the concept of ‘multiscale urban agglomeration spaces' encompasses three linked levels: macroscale urban agglomerations, mesoscale cities, and microscale urban centers. Applying a series of multidisciplinary integrated research methods drawn from geography, urban planning, and architecture, this paper reveals two intensive utilization laws that can be generalized to apply to multiscale urban agglomeration spaces, top-to-bottom ‘positive transmission' linkage and inside-to-outside ‘negative transmission' movement. This paper also proposes optimization transmission theory and policy decision technical pathways that can be applied to these three urban agglomeration spatial scales. Specific technical pathways of transmission include intensive expansion and simulated decision-making in macroscale urban agglomerations, ecology, production, and living space intensive layout and dynamic decision-making in mesoscale cities, and four cores(i.e., ‘single, ring, axis, and pole core') progressive linkage and intensive optimization decision-making in microscale urban centers. The theory and technical pathways proposed in this paper solve the technical problem of optimization and provide intensive methods that can be applied not only at the individual level but also at multiple scales in urban agglomeration spaces. This study also advances a series of comprehensive technical solutions that can be applied to both compact and smart growth cities as well as to urban agglomerations. Solid theoretical support is provided for the optimization of Chinese land development, urbanization, agricultural development, and ecological security.展开更多
The evaluation of urban flood-waterlogged vulnerability is very important to the safety of urban flood control. In this paper, the evaluation of consolidated index is used. Respectively, AHP and entropy method calcula...The evaluation of urban flood-waterlogged vulnerability is very important to the safety of urban flood control. In this paper, the evaluation of consolidated index is used. Respectively, AHP and entropy method calculate the subjective and objective weight of the evaluation indicators, and combine them by game theory. So we can obtain synthetic weight based on objective and subjective weights. The evaluation of urban flood-waterlogged vulnerability as target layer, a single variable multi-objective fuzzy optimization model is established. We use the model to evaluate flood-waterlogged vulnerability of 13 prefecture-level city in Hunan, and compare it with other evaluation method. The results show that the evaluation method has certain adaptability and reliability, and it＇ s helpfid to the construction planning of urban flood control.展开更多
The effects of real-time traffic information system(RTTIS)on traffic performance under parallel,grid and ring networks were investigated.The simulation results show that the effects of the proportion of RTTIS usage de...The effects of real-time traffic information system(RTTIS)on traffic performance under parallel,grid and ring networks were investigated.The simulation results show that the effects of the proportion of RTTIS usage depend on the road network structures.For traffic on a parallel network,the performance of groups with and without RTTIS level is improved when the proportion of vehicles using RTTIS is greater than 0 and less than 30%,and a proportion of RTTIS usage higher than 90%would actually deteriorate the performance.For both grid and ring networks,a higher proportion of RTTIS usage always improves the performance of groups with and without RTTIS.For all three network structures,vehicles without RTTIS benefit from some proportion of RTTIS usage in a system.展开更多
In urban construction,the“Urban Optimal Map(UOM)”serves as a key tool for integrating social resources and natural elements,and it plays a significant role in promoting sustainable urban development.With the advent ...In urban construction,the“Urban Optimal Map(UOM)”serves as a key tool for integrating social resources and natural elements,and it plays a significant role in promoting sustainable urban development.With the advent of the digital era,various data collection devices deployed in cities have accumulated massive amounts of data,forming multi-source,high-dimensional urban databases.While visualizing these data helps uncover patterns of urban operations,the overlay of large volumes of data also complicates the visualization,making it difficult to interpret.From an animal behavior perspective,this study integrates natural geographical data of London,distribution data of different animal species,urban social information data,and comparative data on animal habits.Through GIS analysis,data visualization,and weight overlay to generate adaptability maps,a digital model is constructed and an animal behavior simulation program is developed.On this basis,multi-criteria analysis(MCA)is employed to comprehensively evaluate the simulation results and optimize decision-making,and planning solutions that balance ecological and social needs are derived.The findings demonstrate that by mining and integrating multi-source data,along with future scenario simulations,the complex relationships among urban environment,society,and sustainable development can be effectively explored.This provides scientific and objective data support for promoting harmonious coexistence between urban development and nature,and can assist decision-makers in formulating more rational urban planning strategies.As urban data continues to be updated,the“UOM”will evolve into a dynamic map system.By incorporating machine learning methods to mine temporal dimension information,it can further achieve predictions of future urban development trends,and offer scientific support for urban resource allocation and planning strategies.展开更多
Climate change within the urban contexts is a crisis that cities are confronting globally.This issue poses numerous negative consequences such as thermal discomfort and increased energy usage within the building secto...Climate change within the urban contexts is a crisis that cities are confronting globally.This issue poses numerous negative consequences such as thermal discomfort and increased energy usage within the building sector.This is especially the case in Western Sydney,Australia,where the average maximum temperature has risen by 7—8℃ within the past 30 years.This increase in temperature is highly concerning,since this region is witnessing rapid urban and infrastructural development and is proposed as the third-largest economy of Australia.Temperature changes in this region will also result in considerably increasing the electricity used for cooling purposes.This paper presents a parametric approach driven multi-objective optimization methodology to discover optimum design solution based on the urban microclimate and cooling energy demand of multi-functional buildings within this urban context.Mitigation measures including a range of design factors at both building(typology and window to wall ratio)and urban scales(aspect ratio and urban grid rotation)are further suggested for developing context sensitive optimum urban layouts.The resultant solutions indicate an improvement in urban thermal comfort,cooling and heating energy use by up to 25.85%,72.76%,and 93.67%,respectively.展开更多
Simulations of land use/land cover(LULC)and ecosystem services(ES),which integrate national land policies,reflect the development of land and ecological functions under different scenarios and are crucial for accurate...Simulations of land use/land cover(LULC)and ecosystem services(ES),which integrate national land policies,reflect the development of land and ecological functions under different scenarios and are crucial for accurately predicting and optimizing urban ecosystem sustainable development.展开更多
基金Under the auspices of Major Program of the National Natural Science Foundation of China ‘Coupled mechanisms and interactive coercing effects between urbanization and eco-environment in mega-urban agglomerations’(No.41590842)
文摘Urban agglomerations are spatial entities that promote the development of ‘new urbanization' processes within China. In this context, the concept of ‘multiscale urban agglomeration spaces' encompasses three linked levels: macroscale urban agglomerations, mesoscale cities, and microscale urban centers. Applying a series of multidisciplinary integrated research methods drawn from geography, urban planning, and architecture, this paper reveals two intensive utilization laws that can be generalized to apply to multiscale urban agglomeration spaces, top-to-bottom ‘positive transmission' linkage and inside-to-outside ‘negative transmission' movement. This paper also proposes optimization transmission theory and policy decision technical pathways that can be applied to these three urban agglomeration spatial scales. Specific technical pathways of transmission include intensive expansion and simulated decision-making in macroscale urban agglomerations, ecology, production, and living space intensive layout and dynamic decision-making in mesoscale cities, and four cores(i.e., ‘single, ring, axis, and pole core') progressive linkage and intensive optimization decision-making in microscale urban centers. The theory and technical pathways proposed in this paper solve the technical problem of optimization and provide intensive methods that can be applied not only at the individual level but also at multiple scales in urban agglomeration spaces. This study also advances a series of comprehensive technical solutions that can be applied to both compact and smart growth cities as well as to urban agglomerations. Solid theoretical support is provided for the optimization of Chinese land development, urbanization, agricultural development, and ecological security.
文摘The evaluation of urban flood-waterlogged vulnerability is very important to the safety of urban flood control. In this paper, the evaluation of consolidated index is used. Respectively, AHP and entropy method calculate the subjective and objective weight of the evaluation indicators, and combine them by game theory. So we can obtain synthetic weight based on objective and subjective weights. The evaluation of urban flood-waterlogged vulnerability as target layer, a single variable multi-objective fuzzy optimization model is established. We use the model to evaluate flood-waterlogged vulnerability of 13 prefecture-level city in Hunan, and compare it with other evaluation method. The results show that the evaluation method has certain adaptability and reliability, and it＇ s helpfid to the construction planning of urban flood control.
文摘The effects of real-time traffic information system(RTTIS)on traffic performance under parallel,grid and ring networks were investigated.The simulation results show that the effects of the proportion of RTTIS usage depend on the road network structures.For traffic on a parallel network,the performance of groups with and without RTTIS level is improved when the proportion of vehicles using RTTIS is greater than 0 and less than 30%,and a proportion of RTTIS usage higher than 90%would actually deteriorate the performance.For both grid and ring networks,a higher proportion of RTTIS usage always improves the performance of groups with and without RTTIS.For all three network structures,vehicles without RTTIS benefit from some proportion of RTTIS usage in a system.
文摘In urban construction,the“Urban Optimal Map(UOM)”serves as a key tool for integrating social resources and natural elements,and it plays a significant role in promoting sustainable urban development.With the advent of the digital era,various data collection devices deployed in cities have accumulated massive amounts of data,forming multi-source,high-dimensional urban databases.While visualizing these data helps uncover patterns of urban operations,the overlay of large volumes of data also complicates the visualization,making it difficult to interpret.From an animal behavior perspective,this study integrates natural geographical data of London,distribution data of different animal species,urban social information data,and comparative data on animal habits.Through GIS analysis,data visualization,and weight overlay to generate adaptability maps,a digital model is constructed and an animal behavior simulation program is developed.On this basis,multi-criteria analysis(MCA)is employed to comprehensively evaluate the simulation results and optimize decision-making,and planning solutions that balance ecological and social needs are derived.The findings demonstrate that by mining and integrating multi-source data,along with future scenario simulations,the complex relationships among urban environment,society,and sustainable development can be effectively explored.This provides scientific and objective data support for promoting harmonious coexistence between urban development and nature,and can assist decision-makers in formulating more rational urban planning strategies.As urban data continues to be updated,the“UOM”will evolve into a dynamic map system.By incorporating machine learning methods to mine temporal dimension information,it can further achieve predictions of future urban development trends,and offer scientific support for urban resource allocation and planning strategies.
文摘Climate change within the urban contexts is a crisis that cities are confronting globally.This issue poses numerous negative consequences such as thermal discomfort and increased energy usage within the building sector.This is especially the case in Western Sydney,Australia,where the average maximum temperature has risen by 7—8℃ within the past 30 years.This increase in temperature is highly concerning,since this region is witnessing rapid urban and infrastructural development and is proposed as the third-largest economy of Australia.Temperature changes in this region will also result in considerably increasing the electricity used for cooling purposes.This paper presents a parametric approach driven multi-objective optimization methodology to discover optimum design solution based on the urban microclimate and cooling energy demand of multi-functional buildings within this urban context.Mitigation measures including a range of design factors at both building(typology and window to wall ratio)and urban scales(aspect ratio and urban grid rotation)are further suggested for developing context sensitive optimum urban layouts.The resultant solutions indicate an improvement in urban thermal comfort,cooling and heating energy use by up to 25.85%,72.76%,and 93.67%,respectively.
基金The Special Fund for the Basic Research and Development Program at the Central Non-profit Research Institutes of China(no.CAFYBB2020ZB008)provided financial support for this study
文摘Simulations of land use/land cover(LULC)and ecosystem services(ES),which integrate national land policies,reflect the development of land and ecological functions under different scenarios and are crucial for accurately predicting and optimizing urban ecosystem sustainable development.
