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.     

A commuting model for the analysis of the impacts of a tramway project: application to the Lens area

Road congestion is not only an issue for major European urban agglomerations, but also for smaller ones. It is also the case of the Lens urban area, where car use is much higher than the average for medium-sized urban agglomerations in France. Local authorities put forward tramway projects to deal with the strongly negative externalities of congestion: travel time losses and pollution. To analyse its medium-term impact, we have developed a commuting with congestion model, inspired by the four-step traditional model, but with data made available from an origin–destination matrix. The results are encouraging but insufficient, and it is necessary to adopt supplementary measures in order to retrieve and justify the sizeable investments needed. Some measures prove to be very efficient, such as parking fees and urban tolls. Other measures, such as the subsidization of public transport, are partially efficient since they have an impact mainly on intra-urban commutes.     

Accommodating preference heterogeneity in commuting mode choice: an empirical investigation in Shaoxing,China

A latent class model is developed to accommodate preference heterogeneity across commuters with respect to their mode choice between electric bike, private car, and public bus within the context of China. A three-segment solution – ‘electric bike individuals’, ‘private car addicts’, and ‘public bus enthusiasts’ – is identified, each characterized by heterogeneous preferences regarding specific mode attributes and unique socio-demographic profile. The choice model confirms the determinative effects of perceived alternative attributes on commuting mode choice, while the traditionally used objective attributes – travel time and cost – are found to have relatively small influences. The membership model provides solid explanations for these segment-specific preferences. This study provides a better understanding of the nature of mode choice behavior, which can be useful for strategies tailored to a specific segment in order to promote the use of sustainable transport modes.     

Port choice in container market: a literature review

As a result of the intense changes occurring in port environment over the last decades, new models of competitiveness have been developed, where port authorities try to increase their attractiveness. In this context, one of the most debated issues in this area of research is still the role played by port authorities in defining port competitiveness. The aim of this paper is to provide a review of port choice literature enabling to identify the main port choice’s criteria in order to define the role played by Port Authorities and to point out future lines of research that should be undertaken to fully incorporate current ports’ environment and performance. The results show that although some studies point out the importance of geographical factors in port choice, a larger number of studies defend the increasing role played by port authorities in determining the competitiveness through investing in port infrastructure, improving port efficiency or hinterland accessibility. Despite the existing models contributing on this topic, there are still some gaps in terms of measuring the port performance, including port strategies and studying the port choice for specific industries.     

船用冷藏集装箱技术中国专利综述

通过检索中国专利库,找到冷藏集装箱的全部539个中国专利申请,研究分析其中涉及船用的142个发明专利申请和5个实用新型专利的申请,分别设计并提出专利权人分析、设计并提出专利指数D1、D2、D3、D4和TD1专利时域分析、FD专利频域指数分析、TD2专利时域趋势分析,推导出了船用冷藏集装箱发明时域图,并且分析了重点专利个案。分析发现目前我国在船用冷藏集装箱行业在单一创新和融合创新情况下的存在的机遇与挑战,结合这些分析和对未来发展趋势的预估,提出了一种船用冷藏集装箱集群外部测控的设计思路。     

电气控制系统的故障诊断及显示方法

本文探讨了在机械制造行业中自动控制系统的故障诊断及其显示的方法及设想 ,采用个人计算机与可编程序控制器应用技术进行实现 ,便于及时排除故障。     

自然数中整除关系的一个结果

有限偏序集上满足一定条件的组合计数问题,一直使人们很感兴趣。{1,2,…,2几}这2件个自然数 中选取件个,使其中任两个不具有整除关系,本文讨论了哪些数可以选取,哪些数不能选取,并得 到了所允许选取的最小数及所有不同选取种数的两个简捷的计数公式。      

实时多媒体广播系统的研究与应用

在分析多媒体信息的实时广播和比较HTTP和RTSP协议的特点及实时广播系统方案及通信机制基础上,我们研究提出减少网络流量和平衡服务器负载的解决方案.文中详细讨论了适应不同客户不同接入带宽所采用的算法.最后,我们提出了远程教育的系统解决方案.     

进站信号机显示及区间三接近编码电路的分析与改进

根据现行铁路规范及技术标准分析京沪线党家庄站既有进站信号机显示及区间三接近编码存在的问题,提出相应的电路修改方案,并通过具体实施取得良好效果,达到列车安全运行的目的.     

基于灰色系统理论的短时交通流预测

通过分析短时交通流时序特性,将灰色系统理论应用于短时交通流预测,建立了滚动GM(1,1)预测模型。分析表明:该模型较好地预测了短时交通流的变化趋势。