海绵城市规划指标分解案例研究——以北京A新城为例

设计指标分解是海绵城市规划设计的重难点,但目前并没有统一的标准来指导实践.为探索海绵城市规划指标分解方法,以A新城海绵城市专项规划为例,将年径流总量控制率、控制容积作为控制性指标,下沉式绿地率、透水铺装率、绿色屋顶率和调蓄容积作为引导性指标,结合建设情况、汇水面种类及构成情况等条件,利用海绵城市规划设计辅助计算软件加权...     

Land-use planning via enhanced multi-objective evolutionary algorithms: optimizing the land value of major Greenfield initiatives

The successful implementation of major development initiatives relies on the sound allocation of land uses against critical design criteria and constraints. The discovery of optimum development plans introduces severe complexities in formulating and solving the underlying multi-objective optimization problem. Moreover, in the presence of conflicting planning criteria decision-makers should be provided with a set of alterative-yet-optimum solutions that uniformly cover the spectrum of feasible maps. The introduction of sophisticated optimization algorithms addresses this challenge by pursuing a complete approximation of the Pareto front containing all prominent spatial allocations. This study demonstrates the effectiveness of a new evolutionary algorithm (UDT-MOEA) against the results of an established multi-objective genetic algorithm (NSGA-II) when applied on a major greenfield initiative against the optimum location(s), size and shape of three new land uses. Each algorithm performs best in different areas of the feasible objective space, providing planning alternatives with distinct characteristics.     

An interval joint-probabilistic programming method for solid waste management: a case study for the city of Tianjin, China

Currently, environmental protection and resources conservation continue to be challenges faced by solid-waste managers in China. These challenges are being further compounded by rapid socioeconomic devel- opment and population growth associated with increased waste generation rates and decreased waste disposal capacities. In response to these challenges, an interval joint-probabilistic mixed-integer programming （IJMP） method is developed for supporting long-term planning of waste management activities in the city of Tianjin, which is one of the largest municipalities in the northern part of China. In the IJMP, joint probabilistic constraints are introduced into an interval-parameter mixed-integer programming framework, such that uncertainties presented in terms of interval values and random variables can be reflected. Moreover, a number of violation levels for the waste-management-capacity constraints are examined, which can facilitate in-depth analyses of tradeoffs among economic objective and system-failure risk. The results indicate that reasonable solutions have been generated. They are valuable for supporting the adjustment of the city＇s existing waste-management practices and the long- term planning of the city＇s waste-management facilities.     

基于区域环境风险评价的产业布局规划优化研究

区域环境风险评价相比单个项目的评价具有信息相对缺乏、风险因素多,风险叠加难度大等特点.信息扩散法可有效应对评价信息不足问题,通过构建和运行风险信息矩阵实现对多个环境风险源的风险值叠加,并最终形成风险分区图以指导区域布局优化和风险管理.本研究结合广州南沙地区发展规划,应用信息扩散法对区域现有及规划风险源进行综合评估,并得出区域综合环境风险4级分区.评价结果显示,规划的石化基地布局不合理,将大幅增加区域环境风险等级,提出放弃该产业规划或重新选址,该建议得到最终决策的支持.建议区域开发在规划的初始阶段就考虑开展环境风险评价,以此论证区域功能划分和产业布局的环境合理性,实现优化区域开发和加强区域环境风险防控的目的.     

‘Schismo‐urbanism’: cities,natural disaster,and urban sociology

This paper examines a city and a natural disaster, specifically New Orleans, Louisiana, after Hurricane Katrina of August 2005. Recovery here is ongoing and the process of return is incomplete, with long‐term dislocation to other cities in the United States, such as Houston, Texas. The question arises as to how planning and stratification influence evacuation and return/dislocation and how they result in a particular practice of adaptation. This interrelated process is conceptually integrated and termed ‘schismo‐urbanism’ and is analysed within a multidimensional theoretical framework to evaluate aspects of urban sociology and natural disasters. Empirical research is based on a quantitative and qualitative mixed‐method case study. Data were collected during two rounds of field research in New Orleans and Houston in 2007 and 2009. As a comparative socio‐spatial study of affected and receptor communities, it makes a novel theoretical and methodological contribution to research on urban disasters in the context of continuing and rapid social change, and is targeted at disaster researchers, planning theorists and practitioners, and urbanists.     

A multilevel analysis of private-vehicle evacuation clearance times along the US Gulf Coast

This study uses multilevel regression analysis to examine the effect of social characteristics and the built environment on clearance time under an evacuation scenario. The primary unit of analysis is the US Census tract (N?=?1660), nested within 31 incorporated places spanning five US states. The dependent variable is an estimate of clearance time in hours derived using network analysis techniques within a geographic information system. We find that tracts with a more peripheral location, more female residents, a higher proportion of Hispanic residents, and higher median household incomes are associated with higher clearance times, on average. Our research suggests the relationship between suburbanization and clearance time is complex and evolving, mediated by past investments in the built environment and shifting social conditions. In addition to facilitating the evacuation of areas with low access to personal vehicles, urban planners and emergency management officials should also consider how the degree of connectivity in the street network impacts congestion and clearance time.     

Ecological planning for promoting urban sustainable development: A case study of Shenzhen Special Economic Zone,China

Based on the case study of Shenzhen Special Economic Zone, China, this paper investigates the theories and application of ecological planning for promoting urban sustainable development. The stated significance of such development is to promote the co-ordination of relationships between man and nature, and man and the environment.     

Pollution prevention for sustainable development: the land-use question

The central argument of the paper is that effective pollution prevention can be achieved only by integrated land-use planning which offers the broad framework for co-ordinating technological and non-technological means to achieve sustainable development. The paper first reviews the role of land-use in preventing or contributing to pollution over time, focusing especially on contemporary efforts to promote environmental protection through land-use planning and management. The relationship between land-use, pollution and sustainable development is analysed by examining the most important types of land-use-related problems, discussing their causes and identifying a number of land-use-related constraints to sustainable development. Finally, a land-use planning and policy framework approach to pollution prevention for sustainable development is outlined which emphasizes the need for integrated analysis of pollution problems and adoption of comprehensive approaches to their solution. Scientific, spatial, temporal and policy issues are addressed in the context of the proposed approach.     

Understanding the major drivers for implementation of municipal sustainable policies in underground space

Because of the expanding population in our cities with its demands for more diversified services, we cannot afford a piecemeal type of urban underground growth. Utilization of the urban street system for buried utilities has a serious adverse effect on other street functions because of the continuing necessity to perform excavations for the repair of existing lines and the installation of new ones. The excavations not only are a serious cause of traffic delay and congestion but also create noise and aesthetic disturbances, and result in excessive street maintenance requirements and in shortened overall street life. Consider the enhancing effects in quietness on abutting properties and users of the street, and the benefits become very great. Unfortunately, the lack of data and the difficulty in quantifying the intangibles have made it impossible to arrive at a reasonably accurate figure of overall negative impact on the urban environment of street cuts. However, if drivers are sufficiently strong to merit the use of utility tunnels, then sustainable municipal policies improving living quality will be implemented.     

Measuring the effectiveness of San Francisco’s planning standard for pedestrian wind comfort

ABSTRACT

In 1985, San Francisco adopted a wind comfort standard in its Downtown Area Plan in response to increasing concerns about the city’s downtown public open spaces becoming excessively windy. After 30 years of implementation, this study revisits the standard and examines its effectiveness in promoting pedestrian comfort. Seven hundred one valid samples were collected from 6 months of field study, which combined surveying pedestrians and on-site collection of microclimate data. Statistical analysis and an assessment using the physiological equivalent temperature show that 11 mph (4.92 m/s), the comfort criterion in places for walking, performs as an effective determinant of outdoor comfort in San Francisco. This study sheds light on climate-resilience of cities, as they have become key urban challenges today.