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本文分析了大型活动交通特性,并在对1970年日本大阪世博会、2005年日本爱知世博会、2004年希腊雅典奥运会等大型活动会场内外的交通组织方法进行分析的基础上,探讨了大型活动组织的相关理论与方法。论文结合作者近年开展的对部分交通枢纽地区旅客集散过程的调查及客流特性的研究,分析了我国国情条件下大型活动交通组织的策略及关键问题,提出了需要研究的一些重要议题。     

高校三、四年级女大学生课外体育锻炼现状与分析

通过问卷调查、文献资料等方法对江西高校三、四年级女生参加课外体育锻炼现状及影响参加的课外体育活动开展的一系列因素进行调查分析,并针对存在问题提出意见及建议.     

基于运输链的铁路信息化重点领域分析

当前我国铁路信息化存在重点不突出的问题。基于铁路运输业务网络关联,结合价值链理论提出包括客货营销、运输组织、经营管理的铁路运输链,将运输链中的价值活动区分为主要活动和辅助支持活动。为提升铁路运输活动价值充分运用信息技术,明确铁路信息化重点领域依次为运输组织、客货营销和经营管理。     

高职院校英语第二课堂活动的调查与探讨

英语第二课堂教学活动是第一课堂教学活动的补充、延伸和实践基地.情境认知理论下的英语第二课堂活动通过塑造真实的英语语言环境,使学生语言知识得到积累.本文基于对本院英语第二课堂活动的调查,分析了目前第二课堂面临的问题,并对英语第二课堂的有效开展提出了建议,以真正发挥第二课堂在英语教学、学习中的作用.     

A model of joint activity participation between household members

A proportional shares model of daily time allocation is developed and applied to the analysis of joint activity participation between adult household members. The model is unique in its simultaneous representation of each decision maker's decisions concerning independent activity participation, allocation of time to joint activities, and the interplay between individual and joint activities. Further, the model structure ensures that predicted shares of joint activity outcomes be the same for both decision makers, an improvement over models that do not make interpersonal linkages explicit. The empirical analysis of travel diary data shows that employment commitments and childcare responsibilities have significant effects on tradeoffs between joint and independent activities. In addition, evidence is presented for the continued relevance of gender-based role differences in caring for children and employment participation.     

An analysis of children’s leisure activity engagement: examining the day of week, location, physical activity level, and fixity dimensions

This paper presents a detailed analysis of discretionary leisure activity engagement by children. Children’s leisure activity engagement is of much interest to transportation professionals from an activity-based travel demand modeling perspective, to child development professionals from a sociological perspective, and to health professionals from an active lifestyle perspective that can help prevent obesity and other medical ailments from an early age. Using data from the 2002 Child Development Supplement of the Panel Study of Income Dynamics, this paper presents a detailed analysis of children’s discretionary activity engagement by day of week (weekend versus weekday), location (in-home versus out-of-home), type of activity (physically active versus passive), and nature of activity (structured versus unstructured). A mixed multiple discrete-continuous extreme value model formulation is adopted to account for the fact that children may participate in multiple activities and allocate positive time duration to each of the activities chosen. It is found that children participate at the highest rate and for the longest duration in passive unstructured leisure activities inside the home. Children in households with parents who are employed, higher income, or higher education were found to participate in structured outdoor activities at higher rates. The child activity modeling framework and methodology presented in this paper lends itself for incorporation into larger activity-based travel model systems where it is imperative that children’s activity-travel patterns be explicitly modeled—both from a child health and well-being policy perspective and from a travel forecasting perspective.

Exploring the propensity to perform social activities: a social network approach

Conceptual and empirical models of the propensity to perform social activity–travel behavior are described, which incorporate the influence of individuals’ social context, namely their social networks. More explicitly, the conceptual model develops the concepts of egocentric social networks, social activities, and social episodes, and defines the three sets of aspects that influence the propensity to perform social activities: individuals’ personal attributes, social network composition, and information and communication technology interaction with social network members. Using the structural equation modeling (SEM) technique and data recently collected in Toronto, the empirical model tests the effect of these three aspects on the propensity to perform social activities. Results suggest that the social networks framework provides useful insights into the role of physical space, social activity types, communication and information technology use, and the importance of “with whom” the activity was performed with. Overall, explicitly incorporating social networks into the activity–travel behavior modeling framework provides a promising framework to understand social activities and key aspects of the underlying behavioral process. Juan Antonio Carrasco a PhD candidate in Civil Engineering at the University of Toronto, holds a MSc degree in Transportation Engineering from the Pontificia Universidad Católica de Chile. His doctoral research explores the relationships between social networks, activity–travel behavior, and ICTs. His research interests also include microsimulation, land use-transportation, and econometric modeling. Eric J. Miller is Bahen-Tanenbaum Professor of Civil Engineering at the University of Toronto where he is also Director of the Joint Program in Transportation. His research interests include integrated land-use/transportation modeling, activity-based travel modeling, microsimulation and sustainable transportation planning.