基于家庭的购物行为时、空间 决策模型及其应用

基于家庭的购物行为决策的概念模型,利用2007年北京市活动日志调查的第一手数据,建立购物出发时间决策和购物目的地决策的条件Logit模型,并探讨其在相关政策评估和预测上的应用。结果发现:家庭内部相互作用和决策层面要素对购物时、空间决策的影响比较显著;早晚高峰出行的人群具有不同的社会经济属性和购物行为属性;居民休息日的购物活动集中在离家6km以内或者高密度的商业中心;影响购物目的地选择的因素更多是购物地距离,而非商业密度。通过模拟发现,土地混合利用的政策可能会增加高峰期的交通拥挤程度,而商业设施分散布局可能更有利于城市交通状况的改善和居民日常生活质量的提升。     

一种基于特征子空间的多用户盲分离算法

提出了一种基于特征子空间的多用户盲分离算法。算法首先估计出信号源的导向矢量,然后再利用ESB算法进行波束形成,解决了当存在多个用户时权值收敛于单一用户的问题,可以在不知道信号先验知识的情况下对来自不同方向上的独立信号进行有效的分离。算法不需要进行繁琐的Gram—Schmidt正交化处理,并且在盲分离信号的基础上还可以估计出信号的波达方向。计算机仿真结果表明,分离出来的信号与源信号的相关系数均大于0．99,证实了算法的有效性。     

基于A-star算法的矿井事故救援研究

针对井下不同形状巷道几何空间特征,确立以空间点、线、面为基本图元,以巷道中心线作为三维模型构建的基础框架,建立巷道三维模型。采用启发式路径搜索A-star算法,实现了应急救援路线智能快速选择。实践证明,该方法对于矿井事故定位和救援具有一定的实用性。     

电子政务空间辅助决策综合数据管理研究与实践

本文通过对电子政务数据特点和处理要求的分析,提出了电子政务空间辅助决策综合数据模型。在此基础上,作者完成了电子政务空间辅助决策综合数据管理方法研究与实践。实现了多种类型数据的管理,扩展并完善了基于空间数据的电子政务应用数据管理的内容和技术。     

Variable stiffness smart structure systems to mitigate seismic induced building damages

Upgrading noncode conforming buildings to mitigate seismic induced damages is important in moderate to high seismic hazard regions. The damage, can be mitigated by using conventional (e.g. FRP wrapping) and emerging (e.g. smart structures) retrofit techniques. A model for the structure to be retrofitted should include relevant performance indicators. This paper proposes a variable stiffness smart structure device known as the Smart Spring to be integrated on building structures to mitigate seismic induced damage. The variable stiffness capability is of importance to structures that exhibit vertical (e.g. soft storey) irregularities and to meet different performance levels under seismic excitation. To demonstrate the utility of the proposed retrofitting technique, a four‐storey steel building is modelled in MATLAB and appropriate performance indicators are chosen. Various return period seismic hazards are generated from past earthquake event records to predict the structure's performance. The performance improvement because of the retrofitting of building structures using the variable stiffness device is presented. Copyright © 2012 John Wiley & Sons, Ltd.     

湖北电网特殊区域信息管理系统的建设

湖北电网特殊区域信息管理系统,以基础地理信息数据为基础,以数据库技术和可视化技术为支撑,直观形象地展示湖北电网特殊区域空间分布与特征,实现各类信息的储存、查询、建模、分析、评价等多项功能,为电网规划和电网防灾减灾提供决策依据。     

数字柳州地理空间框架应用推广探索与实践

地理空间框架是数字城市乃至智慧城市建设的重要基础,其应用推广的好坏关系到系统能否长效运行,是重中之重。本文以数字柳州地理空间框架为例,分析应用推广的现状与存在的问题,探索应用推广的模式,总结应用推广的内容与方法,并结合柳州实际情况进行了实践,搭建了教育学区专题应用、存量房价格认证服务平台、人口电子地图管理系统、三维土地供应系统,并与数字化城市管理系统实现了对接,同时在公众网搭建了地理信息公众服务系统。     

Compact,concurrent, and contiguous: smart growth and 50 years of residential planning in the Toronto region

In this article, we use parcel-based land-use data to analyze 50 years of residential development in the Toronto region. We test two hypotheses: (1) Toronto’s form does not conform to conventional definitions of suburban sprawl and (2) Toronto’s suburban development shows high levels of continuity over time with relatively high densities and mixed housing types. Contrary to recent research suggesting a convergence of urban forms among North American metropolitan regions, Ontario’s robust planning system has created a distinctive, highly consistent pattern of residential development that has, for half a century, achieved many of the core goals of smart growth including relatively compact, contiguous, and concurrent development. This form continues to be automobile dependent, however, and is not producing many of the benefits ascribed to smart growth. Rather than continuing to adopt United States-inspired smart growth policies, a more ambitious set of initiatives will be required to address current regional challenges.     

内蒙古地区决策气象服务满意度评价体系设计

文章依据内蒙古地区省级决策气象服务满意度评价工作的现状,提出决策气象服务满意度评价体系的一种设计方法,拟对今后提高决策气象服务用户满意度提供依据。     

It starts at home? Climate policies targeting household consumption and behavioral decisions are key to low-carbon futures

Through their consumption behavior, households are responsible for 72% of global greenhouse gas emissions. Thus, they are key actors in reaching the 1.5 °C goal under the Paris Agreement. However, the possible contribution and position of households in climate policies is neither well understood, nor do households receive sufficiently high priority in current climate policy strategies. This paper investigates how behavioral change can achieve a substantial reduction in greenhouse gas emissions in European high-income countries. It uses theoretical thinking and some core results from the HOPE research project, which investigated household preferences for reducing emissions in four European cities in France, Germany, Norway and Sweden. The paper makes five major points: First, car and plane mobility, meat and dairy consumption, as well as heating are the most dominant components of household footprints. Second, household living situations (demographics, size of home) greatly influence the household potential to reduce their footprint, even more than country or city location. Third, household decisions can be sequential and temporally dynamic, shifting through different phases such as childhood, adulthood, and illness. Fourth, short term voluntary efforts will not be sufficient by themselves to reach the drastic reductions needed to achieve the 1.5 °C goal; instead, households need a regulatory framework supporting their behavioral changes. Fifth, there is a mismatch between the roles and responsibilities conveyed by current climate policies and household perceptions of responsibility. We then conclude with further recommendations for research and policy.