城市公交线网差异化计程票价多目标优化

为获取更加接近实际城市公交线网的票价策略，将出行者的社会互动行为与后悔心理引入广义费用，提出线路客流OD矩阵均衡算法；分别以交通管理部门利润最大化及出行者效用最大化为目标，以公交计程票价、发车频率、私家车停车费为变量，建立固定需求下公交线网差异化计程票价多目标优化模型.引入集群智能多目标优化算法求解，并应用于Mandl 标准公交线网.研究发现：以线路里程为标准，差异化计程票制可以有效降低出行成本；依据帕累托最优解调节票价，可以促进出行者选择行为向优势均衡转移.     

Toward using social media to support ridesharing services: challenges and opportunities

Ridesharing has been attracting increasing attention from both academia and industry. One of the challenges posed by the study of ridesharing is to identify the most valuable information for improving the ridesharing decisions taken by participants. Another challenge is to use harvesting techniques to extract specific types of travel-related information. Many methods have been developed by the community in order to solve these issues. However, due to a lack of information sharing between different transit authorities and the difficulty of identifying subjective perceptions of the experience of ridesharing, understanding and evaluating how social media data might support or obstruct goals for mobility, safety and environmental sustainability in ridesharing is a difficult task. In this survey, we first analyze the literature on ridesharing with a focus on the properties and model of service, and introduce a framework to describe the major components required for a ridesharing service. Then, we illustrate the potential value of information extracted from social media and present the rationale for harvesting travel-related data. Finally, we detail some possible directions and different approaches for using social media data, and highlight their assets and drawbacks.     

现代物流管理的可持续发展

物流业作为第三利润已经成为新兴重要产业，加快发展的同时必须注意经济效益和环境效益的统一，把发展绿色物流作为推进可持续发展的一个方面加以落实。因此，有必要对现代物流在可持续发展背景下做系统深入地研究。     

论宪法作为非确断性的社会评价系统在"新启蒙运动"中的意义

在当前的意识形态领域里，学术界对“新蒙昧主义思潮”的泛起和蔓延给予了很大的关注。相应地国际国内一大批社会人文主义科学家倡导要在全世界范围内开展一场大规模的“新启蒙运动”。“新蒙昧主义思潮”中的“宗教政治蒙昧主义”对宪法政教分离的原则与宪政已经和正在造成重大冲击并产生了消极性影响。对此，宪法学术界应当予以严肃的对待。本文从宪法作为非确断性的社会评价系统的职能角度，作了初步的探讨。     

沪杭磁浮线的社会经济效益分析

沪杭磁浮线对长江三角洲的经济将会带来巨大影响,同时其投入资金巨大.从可量化效益(节约乘客出行时间、提高安全性、提高乘客的劳动生产率、节约城市土地、降低污染、带动沿线不动产的增值、节约能源)和不可量化效益(改善交通促进城市发展、改善居民生活质量)这两大方面对沪杭磁浮线的社会经济效益进行分析.     

紧扣民需民意 推进三社联动 探索基层治理新模式

党的十九大对国家治理体系和治理能力现代化提出了新任务、新要求,突出社会化、法治化、智能化、专业化。以湖南省株洲市荷塘区为例,通过深入实施三社联动,不断创新基层治理,推进社会治理体系和治理能力现代化。     

科学发展模式对经济效益影响的几点建议

落实科学发展观,采用科学发展模式,关键在于结合实际、统筹兼顾、协调发展,将信心和动力通过实际工作转化为经济效益。此文以施工管理和节约能耗为例,阐述大型工程建设应优化资源配置,按施工组织设计配备各类人员,各类材料要按规领取,节约使用和有序囤放。工程管理中应根据建设规模合理选定现场检测点,以节约路途时间和能耗,增加经济效益。     

实现城市防洪经济、社会、环境效益三统一

本文从分析防洪经济效益、社会效益、环境效益三者关系入手 ,明确了在生态失衡、灾害频繁、环境问题已经成为危及人类生存与发展的今天 ,实现三者统一协调、整体推进的重要性 ,并提出了工作思路与对策     

Economic Outcomes for Harvesters under the West Coast Groundfish Trawl Catch Share Program: Have Goals and Objectives Been Met?

Abstract

The West Coast Groundfish Trawl Catch Share Program was designed to achieve multiple economic goals and objectives, including increasing net benefits, profitability, flexibility, and utilization of harvest allocations. In this article, we leverage seven years of comprehensive cost and earnings data to evaluate progress towards these goals with a focus on harvesters. Our assessment shows that five years post-implementation, net benefits to the nation have doubled, and indicators of productivity and profitability have increased. The fleet that targets Pacific whiting has seen the largest gains, due in part to increases in total allowable catch and the elimination of the race-to-fish. However, increased revenues have not been realized to the degree that was expected for harvesters targeting non-whiting groundfish, partly due to lower than predicted consolidation and relatively low quota utilization. Economic outcomes indicate that tradeoffs exist between certain objectives of the program, specifically between achieving full utilization and flexibility for harvesters. Results are discussed in the context of the design and evaluation of catch share programs for diverse, multispecies fisheries.     

Identifying tourists and analyzing spatial patterns of their destinations from location-based social media data

Reliable travel behavior data is a prerequisite for transportation planning process. In large tourism dependent cities, tourists are the most dynamic population group whose size and travel choices remain unknown to planners. Traditional travel surveys generally observe resident travel behavior and rarely target tourists. Ubiquitous uses of social media platforms in smartphones have created a tremendous opportunity to gather digital traces of tourists at a large scale. In this paper, we present a framework on how to use location-based data from social media to gather and analyze travel behavior of tourists. We have collected data of about 67,000 users from Twitter using its search interface for Florida. We first propose several filtering steps to create a reliable sample from the collected Twitter data. An ensemble classification technique is proposed to classify tourists and residents from user coordinates. The accuracy of the proposed classifier has been compared against the state-of-the-art classification methods. Finally, different clustering methods have been used to find the spatial patterns of destination choices of tourists. Promising results have been found from the output clusters as they reveal most popular tourist spots as well as some of the emerging tourist attractions in Florida. Performance of the proposed clustering techniques has been assessed using internal clustering validation indices. We have analyzed temporal patterns of tourist and resident activities to validate the classification of the users in two separate groups of tourists and residents. Proposed filtering, identification, and clustering techniques will be significantly useful for building individual-level tourist travel demand models from social media data.