海口市发展会展物流的SWOT分析

本文运用SWOT模型,对海口市发展会展物流的优劣势进行分析,并提出相关对策建议。     

Potential of decentralized wastewater management for urban development: Case of Bangkok

Decentralized wastewater management (DWWM) has recently gained much attention in wastewater management (WWM) due to its build-as-you-go principal. Rapid urban development and the widespread impact of wastewater require sustainable ways to test the DWWM approach. This paper aims to examine and discuss the potential of Bangkok’s current WWM approaches for urban development, focusing on decentralized management approaches. General WWM approaches were examined using case study research methods. Three WWM cases were selected for detailed investigation. Residential wastewater user surveys and expert interviews were used to support system performance findings of service providers and recipients, as well as to draw lessons learned. Results show that DWWM is economically and technically efficient, demonstrating potential for sustainable urban development (SUD) in the study area. The competitive cost found is a result of less sewer line, simple technology, and limited additional costs, while the high efficiency is a result of good operation and maintenance. Also the reclaimed water has been used for landscape irrigation of the urban greenery. Sustainability of the system lies in social value of public amenity it provides, and the urban planning implication that it could be an option for smart growth. The results also show that even in an inner urban area DWWM does not conflict with any SUD considerations. Thus, the study recommends using DWWM for new development within both public and private properties based on Bangkok’s case as part of long-term urban development.     

远海岛礁冷链物流体系优化模型及其集成算法

为研究远海岛礁渔获冷链物流的运行方案,本文选择了岛礁冷库储存中转和海上直接收购等两种不同的渔获运输方式,同时考虑了中转冷库选址、中转运输和直接收购船舶配备、航线配置、在渔场停留时间和渔获运输损耗等诸多复杂问题,构建了远海冷链物流体系组合优化模型。求解时,提出了一种以遗传算法（GA）为外部框架,以改进的模拟植物生长算法（PGSA）为内部模块,通过信息传递实现内外连接交互的集成算法。最后,以我国南海远海岛礁及渔场为实例进行分析,取得了较好效果。通过与传统遗传算法对比,本文优化结果、稳定性及计算速度等均有明显提高,从而证明了本文所建模型与算法的合理性和有效性。     

Evaluation of multi-objective optimization approaches for solving green supply chain design problems

This paper evaluates the applicability of different multi-objective optimization methods for environmentally conscious supply chain design. We analyze a case study with three objectives: costs, CO₂ and fine dust (also known as PM – Particulate Matters) emissions. We approximate the Pareto front using the weighted sum and epsilon constraint scalarization methods with pre-defined or adaptively selected parameters, two popular evolutionary algorithms, SPEA2 and NSGA-II, with different selection strategies, and their interactive counterparts that incorporate Decision Maker׳s (DM׳s) indirect preferences into the search process. Within this case study, the CO₂ emissions could be lowered significantly by accepting a marginal increase of costs over their global minimum. NSGA-II and SPEA2 enabled faster estimation of the Pareto front, but produced significantly worse solutions than the exact optimization methods. The interactive methods outperformed their a posteriori counterparts, and could discover solutions corresponding better to the DM preferences. In addition, by adjusting appropriately the elicitation interval and starting generation of the elicitation, the number of pairwise comparisons needed by the interactive evolutionary methods to construct a satisfactory solution could be decreased.     

Estimation of Deprivation Level Functions using a Numerical Rating Scale

Evaluating and quantifying human suffering in humanitarian operations offers an innovative and potentially powerful way to assess the performance of humanitarian logistics (HL) and help build optimization models. Previous studies have suggested deprivation cost as a metric and have estimated deprivation cost functions for water using willingness‐to‐pay. Our study proposes deprivation levels, defined as the degree of human suffering caused by lack of access to a good or service, and estimates deprivation level functions using a numerical rating scale. Analyzing data collected from respondents with and without disaster experience, we find that individuals in the latter category estimate deprivation differently from the beneficiaries of disaster relief. Our study demonstrates that deprivation levels can be expressed as logistic growth functions with a typical S‐shape, and that these can be integrated into HL optimization models to better account for human suffering.     

The Role of Media Exposure on Coordination in the Humanitarian Setting

Despite high demand and resource limitations, humanitarian organizations (HOs) typically do not share resources and/or coordinate in the field. While coordination enhances operational performance and saves costs, the general perception is that it dilutes the media attention that individual organizations might receive, and negatively influences their future donation income. In this study, we empirically unveil the impact of media exposure and operational performance on the donations obtained by HOs. Then, based on the empirical results, we develop a stylized model to characterize the structure of preferred coordination policies with respect to an organization's funding source and main mandate. Our findings shed light on the incentives and dynamics that drive behaviors in humanitarian operations and provide insights for policy makers on designing and implementing mechanisms that encourage humanitarian coordination.     

Governing Deviance in Public Space through Mayoral Orders: Fields Mismatch and Metropolitan Turbulence

This article addresses the issue of policy change and its consequences on the organizational field and institutional context, looking at the role of an instrument transfer process. We adopt a political sociology approach to policy instruments to account for the impact that the introduction of a securitarian instrument, the mayoral order, had on the implementation process of a social policy. Through a genealogy of the instrument we identify a constitutive, normative and cognitive dimension. Our aim is to explain the interaction between these institutional dimensions, the re‐definition of the organizational field of the policy, and the dynamics of metropolitan politics. Following a synthesis of the policy process and the institutional arrangements where the policy is implemented, we show how the instrument transfer triggered a division within the organizational field, and the rise of institutional tensions amongst local authorities. In the conclusion, we identify the institutional dimensions of the instruments and the policy implementation scale as elements that are to interact with public‐private relationships and institutional arrangements, and that have an impact on implementation process and policy outcome.     

开发与培养高职物流人才可行性分析

本文从我国现代物流及其发展现状出发,揭示了物流业人才需求日益增加与普通高校人才培养速度相对滞后之间的矛盾,从而推导出通过高职培养物流人才势在必行,并通过可行性分析以突出其实践意义。     

城镇居民家庭财产性收入研究

 近几年来,我国城镇居民家庭的财产性收入增长迅速,但其占家庭总收入比重还是很低。为实现“让更多群众拥有财产性收入”,提高居民的整体收入水平,本文对城镇居民家庭财产性收入进行系统深入的研究,提出收入——财产（生活型和投资型）——财产性收入三者相联关系的观点,分析近几年我国城镇居民家庭财产和财产性收入的现状和值得关注问题,并发现财产性收入增长受家庭财产、居民个人因素、经济发展、制度安排和投资市场的影响,最后有针对性提出增加城镇居民家庭财产性收入的对策建议。     

城乡统筹发展机理及其战略选择

城乡统筹意味着投资于工业和农业的相同资源所得到的收益之间无显著差异.一个关于投资决策的规划模型显示出:城乡协同发展的条件由市场交易价格、工业产品和农业产品的劳动生产率、工业产品和农业产品生产的投资水平、不同产品生产的专业化程度等参数共同进行刻画和描述,并由此揭示出城乡统筹发展的战略选择.