A land-use mix allocation model considering adjacency,intensity, and proximity

ABSTRACT

Land-Use Mix (LUM) refers to the strategy of integrating complementary functions within a building or area. While LUM has become a dominant approach in urban planning, its actual benefits and vision for spatial planning remain unclear. To clarify this issue, this study discerns the spatial features of land-use patterns depending on the compatibilities among land-use categories. Accordingly, this study introduces three LUM measures – adjacency, intensity, and proximity – to identify differences in the spatial distribution of land-use categories. Based on these measures, a land-use allocation model is developed to specify spatial patterns satisfying the given compatibilities. This model is tested by applying the concept of the neighborhood unit on a case study of normative land-use patterns subject to specified compatibilities. The results describe spatial features of four compatibility sets, including a set exhibiting a compatibility conflict between the same land-use pair and LUM measures when, for example, a given land-use pair is compatible in terms of intensity but incompatible in terms of proximity. Understanding the spatial features of a normative land-use pattern that satisfies various possible compatibilities will facilitate the incorporation of the LUM approach into local planning guidance and zoning ordinances.     

天山公路地质灾害决策支持地理信息系统的设计研究

天山公路由于其特殊复杂地形、地质条件及受降雨、地下水等因素,严重影响其正常通行,同时天山公路还经常受到泥石流、滑坡、崩塌、溜砂坡等地质灾害的危害,这对该公路稳定性和沿线居民的安全性都具有一定的威胁。因此,运用先进的技术手段,建立一套适应于天山公路的地质灾害决策支持信息系统就显得尤其重要。该系统的建立,对天山公路的建设改造和管理提供了强有力的支持。天山公路地质灾害决策支持地理信息系统利用强大的ArcEngine开发组件,针对新疆天山公路实际,引入RS、GIS的相关理论、方法和技术分析手段,采用相应的数学分析评价模型,对提高天山公路地质灾害防治管理水平和地质灾害的有效防治,以及评价决策等方面,都具有重要的意义。     

上海市防汛辅助决策系统研究

针对威胁上海的三大水灾，研制暴雨积水模型、风暴潮模型、河网水力模型、灾害评估模型，在GIS基础上建立了上海市防汛辅助决策系统，实现了对处于平原感潮河网的上海市洪涝灾害的实时监测、分析预报、风险评估和网上发布。为分析洪涝形势、制定防汛成灾方案、进行灾情评估以及工程管理，提供准确、及时、全面的信息支持。阐述了系统的总体设计、功能模块、关键技术和特色，分析了GIS、水动力学模型在系统中的作用。     

交互式多目标决策新方法及其在水资源系统规划中的应用

在目标满意度和目标总体协调度的基础上构造了一种新的交互式多目标决策方法,运用欧式距离判断来描述目标总体协调度,避免了目标权重人为确定的任意性,且能充分体现决策者的主观愿望,便于实际操作应用.水资源系统规划的多目标决策实例分析表明该方法有效可行.     

南京-镇江地区多目标地球化学调查初步成果

报道了南京—镇江地区开展的多目标地球化学调查工作以来所取得的初步成果,讨论了如何确定土壤中元素的背景值、如何检查评价地球化学异常、如何针对农业地质的需要开展深入研究等问题,并提出了开展调查工作的具体建议。     

区域水资源与社会经济协调程度评价研究

基于陈守煜多级多目标模糊模式识别模型，提出了区域水资源与社会经济协调程度评价模型。该模型利用级别特征值解决了多层多级多目标系统区域水资源与社会经济协调程度的评价，给出了多个目标隶属函数的计算公式。经分析比较，方法可行，结果合理。     

基于水利益共享的跨境流域水资源多目标分配研究——以澜沧江-湄公河为例

以水利益共享代替分水的理念有利于充分发挥水资源效益和减少区域矛盾冲突,但由于缺乏具体可实施的分配模式一直停留在设想阶段。基于水利益共享理念,建立跨境流域水资源多目标分配指标体系,并结合澜沧江-湄公河流域跨境水资源利用现状及需求,提出澜沧江-湄公河流域跨境水资源多目标分配模型。为基于水利益共享的跨境水资源多目标分配提供了具有充分可操作性的指标体系和分配模型,有助于推进跨境流域水利益共享的实施,实现区域双边或多边在水资源利用上的共赢和发展目标。     

水库群水沙调控的单-多目标调度模型及其应用

为缓解内蒙古河段"二级悬河"形势,以黄河上游沙漠宽谷河段为研究对象,以龙羊峡水库、刘家峡水库为调控主体,开展黄河上游水沙调控研究。建立了输沙量、发电量最大的单目标模型以及多目标模型;分别采用自迭代模拟算法、逐次逼近动态规划算法(DPSA)和改进的非支配排序遗传优化算法(NSGA-Ⅱ)求解模型;设置了初始、常规、优化和联合优化4种方案。通过实例计算,联合优化调度方案的区间总冲刷量达到了0.38亿t,梯级发电量148.22亿kW·h。该方案以较小的电量损失换来了输沙量的大幅度增加,水沙调控效果显著,推荐为最优方案。研究成果量化了水沙调控效果和各目标间的转化规律,为开展黄河上游水沙调控提供了决策依据,具有重要的应用价值和实际指导意义。     

Application of ICTs in Airspace Management and Collaborative Decision-Making—Analyzing the Risk Avoidance in the Condition of Risky Weather as an Example

The application of ICTs makes structural change of the development and effective utilization of airspace. Next generation air transportation system (NextGen) includes new automation concepts with automated information to support the traffic control decision-making. As a result, in the field of academia and industry, air traffic controllers integrate information automatically while making decisions to change the previous manually integrated and decided pattern. The safety ability of airspace is reduced and airspace system is endangered under risky weather conditions of airspace. So there is an urgent demand for new information and communication technologies. The paper is an overview of the information constitution and support of NextGen and provides the study of the development of technique of airspace collaborative decision-makings to confirm the new features based on ICTs. It contains basic application-the input of data and output of the routes of airspace management and collaborative decision-making, and general application-the choose of probability nets of avoiding risky weather, and special application-the affection in the management of the air routes, which are made up of position and direction. The research shows the accurate schedule characteristics of airspace management and collaborative decision-making based on ICTs, which made the space accurate by time accurate. Second, the visualization of airspace management and collaborative decision-making based on ICTs made the maps of flight path under mobile data quickly generated. This could make the fully development and utilization of national airspace, ensure safety, and reduce air traffic controllers’ workload and the costs in delaying and operating in risky weather.     

Evaluating the impact of visualization of wildfire hazard upon decision-making under uncertainty

The paper investigates whether the methods chosen for representing uncertain geographic information aid or impair decision-making in the context of wildfire hazard. Through a series of three human subject experiments, utilizing 180 subjects and employing increasingly difficult tasks, this research evaluates the effect of five different visualizations and a text-based representation on decision-making under uncertainty. Our quantitative experiments focus specifically on the task of decision-making under uncertainty, rather than the task of reading levels of uncertainty from the map. To guard against the potential for generosity and risk seeking in decision-making under uncertainty, the experimental design uses performance-based incentives. The experiments showed that the choice of representation makes little difference to performance in cases where subjects are allowed the time and focus to consider their decisions. However, with the increasing difficulty of time pressure, subjects performed best using a spectral color hue-based representation, rather than more carefully designed cartographic representations. Text-based and simplified boundary encodings were among the worst performers. The results have implications for the performance of decision-making under uncertainty using static maps, especially in the stressful environments surrounding an emergency.