Incorporating the extended theory of planned behavior in a school travel mode choice model: a case study of Shaoxing,China

Travel to and from school can have social, economic, and environmental implications for students and their parents. Therefore, understanding school travel mode choice behavior is essential to find policy-oriented approaches to optimizing school travel mode share. Recent research suggests that psychological factors of parents play a significant role in school travel mode choice behavior and the Multiple Indicators and Multiple Causes (MIMIC) model has been used to test the effect of psychological constructs on mode choice behavior. However, little research has used a systematic framework of behavioral theory to organize these psychological factors and investigate their internal relationships. This paper proposes an extended theory of planned behavior (ETPB) to delve into the psychological factors caused by the effects of adults’ cognition and behavioral habits and explores the factors’ relationship paradigm. A theoretical framework of travel mode choice behavior for students in China is constructed. We established the MIMIC model that accommodates latent variables from ETPB. We found that not all the psychological latent variables have significant effects on school travel mode choice behavior, but habit can play an essential role. The results provide theoretical support for demand policies for school travel.     

Daily activity and travel sequences of students,faculty and staff at a large Canadian university

This paper examines the activity engagement, sequencing and timing of activities for student, faculty and staff commuter groups at the largest university in the Maritime Provinces of Canada. The daily activity patterns of all university community groups are modeled using the classification and regression tree classifier algorithm. The data used for this study are derived from the Environmentally Aware Travel Diary Survey (EnACT) conducted in spring 2016 at Dalhousie University, Nova Scotia. Results show that there are significant differences in activity and travel behavior between university population segments and the general population in the region, and between campus groups. For example, students participate in more recreation activities compared to faculty and staff. They also take more trips to and from campus, and are more flexible in their scheduling of trips. The insights gained from this study will provide helpful information for promoting sustainability across university campuses, and for development of campus-based travel demand management strategies.     

The accuracy of proxy responses in a stated choice setting: A re-examination and some controversial conclusions

Data is typically gathered from an individual respondent who represents the group or the household. This individual is often identified as the “primary decision maker” and is asked to provide responses as a proxy for the group given that the cost of interviewing each member individually is impractical and/or expensive. The collection of joint preferences is rarely undertaken, with the use of proxy responses not uncommon in travel behaviour research. Under such a framework, there exists an assumption that the primary decision maker has perfect knowledge of other group member preferences, and bargaining behaviour, and is able to synthesise this information when providing a response on their behalf. The validity of such an assumption however remains an open question, with recent research calling the reliability of proxy responses into account (Bateman and Munro, 2009). In this paper, using three models estimated in willingness to pay space, we examine the accuracy of proxy responses in a stated choice experiment. We find that there is overlap between a proxy response and the own preferences of the individual providing the proxy choice, but while the proxy responses fail to represent the full preference heterogeneity that exists in the actual choices made by individuals, the proxy responses in aggregate provide a suitable replacement for actual data, subject to a number of caveats.     

Modelling the impact of weather conditions on active transportation travel behaviour

Three weather sensitive models are used to explore the relationship between weather and home-based work trips within the City of Toronto, focusing on active modes of transportation. The data are restricted to non-captive commuters who have the option of selecting among five basic modes of auto driver, auto passenger, transit, bike and walk. Daily trip rates in various weather conditions are assessed. Overall, the results confirm that impact of weather on active modes of transportation is significant enough to deserve attention at the research, data collection and planning levels.     

Logit模型在南广高铁线客流分担预测中的应用

对分担率进行科学的预测是交通运输规划的基础性工作,是制定运输决策的重要依据。文章经过比较选取多项Logit模型为分担率预测模型,介绍了模型建立与求解的方法,并运用该模型对南广高铁沿线客流分担率进行预测分析。     

济南市黄岗路穿黄隧道总体设计与关键技术

济南市黄岗路隧道是目前内地在建直径最大的盾构隧道,穿越地上悬河黄河。结合悬河保护要求高、盾构掘进距离长、承受水压大、开挖断面大、工作井深度深、建构筑物及环境保护要求高等特点,从隧道功能定位、城市客运专用隧道技术标准选取、隧道平纵断面设计、横断面布置及两岸接线考虑等方面,对隧道总体设计方案进行综合分析,介绍关键技术问题设计方案的解决方案,对提高我国城市客运专用隧道、大型水下盾构隧道及穿越黄河隧道建设水平具有重要参考意义。     

基于乘客路径选择的多制式轨道交通客流分配

为量化换乘对乘客出行路径选择的影响程度,在单层网络中添加虚拟换乘站,构建无隐性连接的三层多制式轨道交通拓扑网络模型.基于时间、换乘节点衔接性,计算线网间衔接性系数;利用Dijkstra法搜索模型各起讫点间的K短路径,以乘客感受到的线网复杂度及乘客出行计划确定时间,建立乘客对线网的熟悉度函数;根据乘客路径选择影响因素构建...     

汽车企业的技术人力资源战略

分析汽车企业中技术人力资源流失的原因,浅谈人才战略选择。     

汽车车身漆面的维护与修补

阐述汽车车身防锈、车身拆装维修的事项和要求,以及车身漆面的维护和修补要点。     

桩-土作用在大型旅客站房基础设计中的应用

当大型旅客站房基础与地下出站通道重叠时,由于地下出站通道刚度大、结构超长,且属半露天地下结构,对温度作用变化明显,利用传统的刚性固结模型对站房基础进行设计时较难得到合理的结果或造成巨大的浪费。论述桩-土作用机理的复杂性,并对桩-土作用力学模型进行分析。通过分布弹簧模型对旅客站房在温度作用下的结构内力进行分析,并与刚性固结模型计算结果进行对比,得出旅客站房基础设计考虑桩-土作用的合理化计算模式。