Harnessing place attachment for local climate mitigation? Hypothesising connections between broadening representations of place and readiness for change

Public engagement in local environmental planning and decision-making is often advocated on various grounds, both instrumental and normative. Yet in developed countries in the context of renewable energy infrastructure deployment, place attachment, place identity and place-protective action continue to be implicated in public objection. We set out an interdisciplinary change readiness hypothesis of specifically how local participatory scenario or visioning processes that include climate mitigation measures may support the mobilisation of place attachment for climate mitigation, including renewable energy deployment. We hypothesise that local visioning may support movement towards change readiness by helping to anchor unfamiliar social representations of low carbon energy infrastructure and new patterns of urban form in existing, more positive representations of localities and associated attachments. To this end, seeking ways to modify threat perceptions relating to climate change and renewable energy infrastructure is advocated as a key direction for study.     

徐州市建设生态园林城市的概况及几点建议

创建生态园林城市越来越成为一个很响亮的提法，成为一种趋势。然而，在这个过程中势必要出现各种问题。如何处理这些问题呢?对于徐州市来讲，创建生态园林城市有其自身的优势，当然也会遇到不少问题，本文在简单介绍了徐州建设生态园林城市的概况之后，对创建过程中出现的某些问题提出了几点建议，重点就环境治理方面的问题阐述自己的看法。     

成渝经济区火电发展的大气环境影响

基于CALPUFF模型,以2007年为基准年,根据成渝经济区基准年火电SO₂排放量、2008—2009年国家核定的火电SO₂减排量(20.9×104 t)、“十二五”年地方计划火电SO₂减排量(18.5×104 t)以及地方愿景下的“十二五”期间新增火电SO₂排放量,设计3种不同排放情景,并且对不同情景下的ρ(SO₂)分布特征进行了模拟. 结果表明:2008年和2009年成渝经济区的火电SO₂减排使成渝经济区的ρ(SO₂)年均值比2007年平均降低了18.9%;“十二五”新增火电装机将会使成渝经济区的ρ(SO₂)年均值比2007年平均升高20.7%. 虽然通过工程减排及“上大压小”的方式减缓了新增火电机组带来的影响,但从空间分布来看,ρ(SO₂)增加的局部地区与酸雨严重的地区高度重合,导致该区域酸雨污染风险依然存在.      

基于动态贝叶斯网络的民航突发事件情景分析研究

航空运输重大突发事件的应急准备与处置存在问题,应急救援效果不甚理想。建立了基于灾害体、受灾体、孕灾环境以及抗灾体四要素的突发事件情景分析模型,并运用动态贝叶斯网络模型,构建了基于关键时间节点的突发事件情景演化模型。基于上述模型,以某航班降落时起落架故障的典型事件为例进行模型构建与分析,分析结果验证该模型运用于民航突发事件情景分析与评估的合理性和可行性。该模型为提高民航突发事件应急准备与处置能力提供了新的思路与方法。     

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.     

基于情景分析的北京市机动车污染排放控制研究

为了研究未来北京市机动车排放控制措施的减排效果,本文基于情景分析法,以2010年为基准年,通过设置3类控制措施情景,估算2011~2020年不同情景下北京市机动车常规污染物排放量,并在基准情景基础上,估算污染物减排量,分析控制措施对不同类型机动车的减排贡献.结果表明,尽管未来北京市机动车保有量会有较大增长,实施机动车排放控制措施仍可取得显著的减排效果.单一措施中,淘汰高排放车减排量最大.其中,淘汰轻型客车可有效减少CO的排放,减排贡献率为89.4%;淘汰重型客车可对NOx、HC和PM10达到有效削减,其贡献率分别为65.5%、55.8%、93.4%.实施新的排放标准对重型柴油车的排放也有明显控制效果,且4种污染物都能得到有效削减.综合实施各种措施的效果最为显著,2020年对CO、NOx、HC、PM10的削减效果分别达到46.4%、42.1%、8.6%和50.6%.     

‘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.