交通肇事逃逸相关问题分析

对交通肇事逃逸案件的特点及原因进行了分析，同时探讨了交通肇事逃逸案件的赔偿问题，指出实际工作中存在的问题，以期为相关工作提供参考。     

行政问责制中传媒监督作用的探讨

行政问责制自实施以来，引起了各方面的关注，它取得了一定的成效也存在不少的问题。本文从行政问责的重要性谈起，对它的形式及问题进行了分析，并就其中媒体监督及保证媒体自由的方面进行了初步的探讨。     

An exploration of the importance of social influence in the decision to start bicycling in England

The purpose of this paper is to gain a better understanding, through qualitative exploration, of the ways in which social influence affects the decision to start bicycling in England. ‘Social influence’ is defined as the process by which an individual’s thoughts and actions are changed by the thoughts and action of others. Its role was investigated at three levels: the immediate family, household members and significant others (direct social influence); the extended family, friends, peers and colleagues (less direct social influence); and the wider cultural context (indirect social influence). Interviews with 61 individuals living in 12 towns and cities across England were analysed. Half of the interviewees were new regular bicyclists and the other half did not bicycle at all, or only occasionally. Social influence was found to be the dominant factor for a minority of the cases where participants started bicycling regularly. It played a role alongside other factors in other cases. It could take the form of direct influence from family, friends and peers or indirect influence from the social and cultural context. The analysis illustrates the difficulty of capturing social influence which is often hidden and emerges incidentally in the course of the interviews and interacts with other contributing factors. The role of social influence found in this research challenges the rational approach to explaining travel decision making that has traditionally dominated transport studies. The paper suggests that social processes could be harnessed to improve the efficacy of bicycling promotion programs.     

Urban activity pattern classification using topic models from online geo-location data

Location-based check-in services in various social media applications have enabled individuals to share their activity-related choices providing a new source of human activity data. Although geo-location data has the potential to infer multi-day patterns of individual activities, appropriate methodological approaches are needed. This paper presents a technique to analyze large-scale geo-location data from social media to infer individual activity patterns. A data-driven modeling approach, based on topic modeling, is proposed to classify patterns in individual activity choices. The model provides an activity generation mechanism which when combined with the data from traditional surveys is potentially a useful component of an activity-travel simulator. Using the model, aggregate patterns of users’ weekly activities are extracted from the data. The model is extended to also find user-specific activity patterns. We extend the model to account for missing activities (a major limitation of social media data) and demonstrate how information from activity-based diaries can be complemented with longitudinal geo-location information. This work provides foundational tools that can be used when geo-location data is available to predict disaggregate activity patterns.     

Technology engagement and privacy: A cluster analysis of reported social network use among transport survey respondents

New technologies are constantly being researched and developed to improve the sense of security of transport users. However, security technologies could also pose their own risks with regard to transport users’ privacy through the potential for data collection and storage. Transport, in particular, allows the data collector potential access to information on the users’ habits through the location information that could be collected during an individual’s interaction with technology during their travels. Some technologies, such as personal security apps (which essentially turn a smartphone into a type of panic alarm) also allow for the linking of the security technology and social networking apps. Given this link and the extent to which personal data, including location data, can be included in an individual’s social networking account, it was decided to investigate if the use of social networks could be related to individuals’ opinions on the use of their data through new technologies, such as personal security apps. This paper presents an exploration of the possibility of grouping respondents to a transport survey (N = 469) based on their answers to questions on their social networking (SNS) use. It was hypothesised that if distinct groups exist within the SNS data, then they could be used as a supplementary personal variable for underlying privacy concerns and levels of engagement with technology in future transport studies. This would be in addition to the socio-demographic information collected in the survey. This paper presents the initial dimension reduction of the response variables to create composite variables. That is followed by the exploratory clustering of responses using two-step cluster analysis. Finally, the paper discusses the hypothesis testing of the resultant clusters against the socio-demographic responses to ascertain if additional information is provided by the clustering results. The transport survey responses were collected in Ireland, and a subset of responses, from the Greater Dublin Area, were used for the analysis in this paper. The results demonstrate that there is scope for this type of method to be used when researching new security technologies in transport.     

Incorporating social impact on new product adoption in choice modeling: A case study in green vehicles

While discrete choice analysis is prevalent in capturing consumer preferences and describing their choice behaviors in product design, the traditional choice modeling approach assumes that each individual makes independent decisions, without considering the social impact. However, empirical studies show that choice is social – influenced by many factors beyond engineering performance of a product and consumer attributes. To alleviate this limitation, we propose a new choice modeling framework to capture the dynamic influence from social networks on consumer adoption of new products. By introducing social influence attributes into a choice utility function, social network simulation is integrated with the traditional discrete choice analysis in a three-stage process. Our study shows the need for considering social impact in forecasting new product adoption. Using hybrid electric vehicles as an example, our work illustrates the procedure of social network construction, social influence evaluation, and choice model estimation based on data from the National Household Travel Survey. Our study also demonstrates several interesting findings on the dynamic nature of new technology adoption and how social networks may influence hybrid electric vehicle adoption.     

解读整合营销传播学

整合营销传播学崛起于20世纪90年代,是传播学的新发展。整合营销传传播学以消费者为受播对象、营销与传播彼此交融、营销传播手段相互整合、通过多种媒种传播。整合营销传播学为企业的营销传播提供了必要的理论框架。中国入世在即,了解并把握整合营销传播学对于提高我国企业的营销传播水平、深刻理解消费者的地位与作用,均将发挥作用。     

Nations and regions in transition

The workshop included presentations of nine papers covering very different types of situations and transitions. Some papers were region specific (Russia, Middle East, Asia, Europe, and two from Latin America) and others were of general applicability. The discussion highlights that virtually all cities and regions will go through one type of transition or another, sooner or later, and that the study of such transitions provides a very rich learning environment. The most important conclusion has been that in many cases the stability of supply and accessibility to public transport by all population segments is more important than competition and ownership.     

Technical standardization of ITS and Asian initiatives for intelligent mobility

User-centric intelligent mobility businesses emerge and prosper in Asian metropolitan areas by utilizing the progress if information and communication technology (ICT). Under the rise of private lead initiatives on intelligent transport systems (ITS), the roles of public sectors are still large. Public sectors should precisely identify the extensive ITS services by considering the regional conditions and deploy them by collaboration between the public and private. Public sectors also are strongly encouraged to identify the benefits acquired by development and compliance of the international technical standards. Furthermore, in order to maximize the potential capacity of ICT, improvements of social infrastructures are required by the public sectors together with private businesses. With the realization of the collaboration works, Asian regions are well deserved to take the lead in future ITS initiatives.     

A SOLITARY SOLUTION AND ITS STABILITY IN A 1-D FHN EQUATION

11ntroductionTravellingwavesinanexcitablemediacanbeobservedinchemical,physicalandbiologicalsystems["'J.Anexcitablemediumistheneuralactionpotential,awaveofelectricalactivitythatpropagatesundegradedalonganaxonalmem-brane.Itcanbemodelledbyareaction-diffusionequationoftheformwherex,taremeasuredin"spaceunits"and"timeunits",the"propagator"variableurepre-sentsanelectricpotentialorachemicalconcen-trationoratemperatureincommonapplications,D,isitsdiffusioncoefficient,andthe"recovery"variableof"controlle…