The place of transport in facilitating social inclusion via the mediating influence of social capital

Social policy makers rarely associate the ability to be mobile with having a role in the facilitation of social inclusion. This paper provides an initial exploration of the association between a person’s travel patterns and their risk of social exclusion. Information is drawn from a major Australian Research Council transport study which interviewed 535 people from Metropolitan Melbourne, Australia. It includes an analysis of the extent of the person’s bonding and bridging social networks, their connectedness to the community, self-assessed level of well-being and their beliefs about whether or not they are able to control outcomes in their life. It was found that those who had the greatest risk of social exclusion, travelled less often and less distance, owned fewer cars and used public transport less, than those who were more socially included. However, those who were more at risk of social exclusion did not identify their lower trips as due to either a lack of transport, or problems with the public transport system. The ability to have good bridging networks appears to be related to increased trip-making and promotion of social inclusion but not necessarily self-assessed well-being which is satisfied by bonding networks.     

车联网交互的方法探讨

车联网交互,包括按键、触控、语音、眼神、人脸识别、手势等多模态人车交互,随着智能网联的发展,车联网交互逐步在趋向语音、眼神、手势,正在发生一场尤为深刻的变革,而新的交互方式,也必将先服务于用户体验.本文对车联网交互方式,做了一些新的探讨.     

交通拥堵智能监测的车联网环境构建

车联网是互联网以及物联网通讯技术引入交通领域而发展出来的一类智能交通应用技术。本文在解析车联网基本架构体系的前提下,围绕交通拥堵智能监测的优化实现,基于V2V模型,构建一种智能监测的车联网典型应用环境,并参考车联网基本特征,探讨定义智能监测条件下的交通拥堵评价基准。     

Investigating heterogeneity in social influence by social distance in car-sharing decisions under uncertainty: A regret-minimizing hybrid choice model framework based on sequential stated adaptation experiments

The present study is designed to investigate social influence in car-sharing decisions under uncertainty. Social influence indicates that individuals’ decisions are influenced by the choices made by members of their social networks. An individual may experience different degrees of influence depending on social distance, i.e. the strength of the social relationship between individuals. Such heterogeneity in social influence has been largely ignored in the previous travel behavior research. The data used in this study stems from an egocentric social network survey, which measures the strength of the social relationships of each respondent. In addition, a sequential stated adaptation experiment was developed to capture more explicitly the effect of social network choices on the individual decision-making process. Social distance is regarded as a random latent variable. The estimated social distance and social network choices are incorporated into a social influence variable, which is treated as an explanatory variable in the car-sharing decision model. To simultaneously estimate latent social distance and the effects of social influence on the car-sharing decision, we expand the hybrid choice framework to incorporate the latent social distance model into discrete choice analysis. The estimation results show substantial social influence in car-sharing decisions. The magnitude of social influence varies according to the type of relationship, similarity of socio-demographics and the number of social interactions.     

基于中间件的高速公路联网收费数据传输系统

数据传输是高速公路联网收费的基础和必要条件,数据传输系统的安全性、可靠性和快速性直接影响高速公路联网收费的性能。分析了高速公路收费数据传输系统的需求和性能要求,设计了数据传输系统架构,描述了数据传输软件的实现。最后介绍了江苏省高速公路收费数据传输系统应用实例。     

网络化舰船远程监测及维修管理决策系统研制

以多年来在船岸管理一体化管理方面取得的研究成果,从舰船机电设备监测、维护、管理与决策分析需求出发,对网络化舰船远程监测及维修管理决策系统的研制提出了具体的研究内容与系统总体架构的设计方案．     

社会排斥视角下的我国城市中低收入家庭住房政策研究

文章从社会排斥的视角探讨我国城市中低收入家庭的住房政策,着重分析现有的住房政策所带来的社会排斥问题,以及采取怎样的措施来避免社会排斥现象的发生,从而为修正现有的住房政策打下良好的基础。     

The economic impact of the ATA/Southwest Airlines code-share agreement

This paper examines the economic impact of the code-sharing agreement between ATA and Southwest Airlines, the first time Southwest has chosen to enter markets via a code-share alliance rather than direct entry. We examine the impact of complementary code-sharing on incumbent airline's fares and passenger volumes and also the overall impact on consumer welfare in Denver airline markets. Empirical results show that air fares decreased and passenger volumes increased for incumbent carriers operating on code-shared routes. Further, we find evidence that this code-sharing arrangement increased both consumer and producer surplus. Thus, the well-known “Southwest Effect” is observed not only when Southwest enters a route directly, but also when it enters a route via a code-share agreement with another airline.     

Extracting patterns from Twitter to promote biking

Emphasis on non-motorized travel modes (for example, biking) reduces motorized trips and provides positive effects on the environment and the quality of human life. Understanding factors that influence people to biking or bike commuting can help decision makers, transportation planners, and bike commuting networks. Historically, conventional methods like surveys and crash data analyses were conducted to understand relevant factors. Survey and crash data analysis are difficult to perform in broad scale due to data availability and efforts. An innovative approach to determining these factors is to conduct social media mining to understand sentiments or motivations of bike commuters. People use terms (with hashtag at the beginning of the term) in Twitter, a popular social media network, to express their thoughts, activities or information. This study developed a framework for using Twitter data in understating the sentiments of the bikers with minimal effort. In this study, Twitter data associated with bike commuting hashtags were obtained for eight years (2009–2016). This study provided a framework of data collection and application of various natural language processing (NLP) tools (for example, text mining, sentiment analysis) to extract knowledge from the unstructured text data. Findings show that biking is associated with weather and seasonal patterns. The general sentiment towards biking is positive. However, negative sentiments are associated with bad weather, crime, and other challenges. The polarity scores indicate somewhat positiveness in the recent few years. The developed framework and the findings of this study will help planners and decision makers to promote biking on a broader scale.     

Transport pricing and Public-Private Partnerships in theory: Issues and Suggestions

This chapter offers a theoretical examination of the following questions: what are the issues that arise when Social Marginal Cost Pricing is to be incorporated in Public-Private Partnerships (PPPs); and how may these issues be dealt with?We first briefly discuss Public-Private Partnerships in transport: what are the defining characteristics and what are the main types that exist in the different modes of transport? Next we consider the economics of Public-Private Partnerships, in particular from the viewpoint of incentives. Subsequently we identify and examine the issues that arise when Social Marginal Cost Pricing is to be incorporated in PPPs as a regulation with regard to pricing in the transport sector. Lastly, we investigate the possibilities of resolving these issues.