排序方式: 共有80条查询结果,搜索用时 15 毫秒
61.
城市是一个复杂的社会经济系统,人们在城市系统中从事各种活动。在城市活动与其用地和出行需求之间,存在着极其复杂的相互关系。认识这种关系并利用其中的规律来进行科学合理的城市用地和交通规划,是城市规划和城市交通学科的基础研究课题之一。从分析城市活动入手,揭示了城市活动是用地和出行的需求之源,进而阐述了城市活动的两个基本供应子系统——用地和交通之间的相互关系。指出重视用地和交通的交互作用,寻求城市活动与其用地和交通之间的供求平衡,既是维持城市健康发展,也是指导城市用地和交通规划的基本原则。 相似文献
62.
船舶抵押融资对造船业、航运业有着至关重要的影响,事关抵押权人、抵押人以及买受人三方之间的利益.过去的立法对抵押财产转让的条件以及正常经营活动中买受人规则的适用范围等做出了严格限制,以此来保护抵押权人的利益.2020年5月28日正式通过的《民法典》对原有抵押制度进行了一系列的修改,改善了实践中抵押权人、抵押人和买受人三方... 相似文献
63.
刘本香 《青岛远洋船员学院学报》2014,(1):75-77
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. 相似文献
64.
Automated Vehicles (AVs) offer their users a possibility to perform new non-driving activities while being on the way. The effects of this opportunity on travel choices and travel demand have mostly been conceptualised and modelled via a reduced penalty associated with (in-vehicle) travel time. This approach invariably leads to a prediction of more car-travel. However, we argue that reductions in the size of the travel time penalty are only a crude proxy for the variety of changes in time-use and travel patterns that are likely to occur at the advent of AVs. For example, performing activities in an AV can save time and in this way enable the execution of other activities within a day. Activities in an AV may also eliminate or generate a need for some other activities and travel. This may lead to an increase, or decrease in travel time, depending on the traveller’s preferences, schedule, and local accessibility. Neglecting these dynamics is likely to bias forecasts of travel demand and travel behaviour in the AV-era. In this paper, we present an optimisation model which rigorously captures the time-use effects of travellers’ ability to perform on-board activities. Using a series of worked out examples, we test the face validity of the model and demonstrate how it can be used to predict travel choices in the AV-era. 相似文献
65.
66.
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. 相似文献
67.
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. 相似文献
68.
Ipek N. Sener Rachel B. Copperman Ram M. Pendyala Chandra R. Bhat 《Transportation》2008,35(5):673-696
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.
Ipek N. Sener is currently a Ph.D. candidate in transportation engineering at The University of Texas at Austin. She received her M.S. degrees in Civil Engineering and in Architecture, and her B.S. degree in Civil Engineering from the Middle East Technical University in Ankara, Turkey. Rachel B. Copperman is currently a Ph.D. student at The University of Texas at Austin in transportation engineering. She received her M.S.E. from The University of Texas at Austin in Civil Engineering and her B.S. from the University of Virginia in Systems Engineering. Rachel grew up in Arlington, Virginia. Ram M. Pendyala is a Professor in Transportation at Arizona State University in Tempe. He teaches and conducts research in activity-based travel behavior modeling, multimodal transportation planning, and travel demand forecasting. He is the chair of the Transportation Research Board Committee on Traveler Behavior and Values and vice chair of the International Association for Travel Behaviour Research. Chandra R. Bhat is a Professor in Transportation at The University of Texas at Austin. He has contributed toward the development of advanced econometric techniques for travel behavior analysis, in recognition of which he received the 2004 Walter L. Huber Award and the 2005 James Laurie Prize from the American Society of Civil Engineers (ASCE), and the 2008 Wilbur S. Smith Distinguished Transportation Educator Award from the Institute of Transportation Engineers (ITE). He is the immediate past chair of the Transportation Research Board Committee on Transportation Demand Forecasting and the International Association for Travel Behaviour Research. 相似文献
Chandra R. Bhat (Corresponding author)Email: |
Ipek N. Sener is currently a Ph.D. candidate in transportation engineering at The University of Texas at Austin. She received her M.S. degrees in Civil Engineering and in Architecture, and her B.S. degree in Civil Engineering from the Middle East Technical University in Ankara, Turkey. Rachel B. Copperman is currently a Ph.D. student at The University of Texas at Austin in transportation engineering. She received her M.S.E. from The University of Texas at Austin in Civil Engineering and her B.S. from the University of Virginia in Systems Engineering. Rachel grew up in Arlington, Virginia. Ram M. Pendyala is a Professor in Transportation at Arizona State University in Tempe. He teaches and conducts research in activity-based travel behavior modeling, multimodal transportation planning, and travel demand forecasting. He is the chair of the Transportation Research Board Committee on Traveler Behavior and Values and vice chair of the International Association for Travel Behaviour Research. Chandra R. Bhat is a Professor in Transportation at The University of Texas at Austin. He has contributed toward the development of advanced econometric techniques for travel behavior analysis, in recognition of which he received the 2004 Walter L. Huber Award and the 2005 James Laurie Prize from the American Society of Civil Engineers (ASCE), and the 2008 Wilbur S. Smith Distinguished Transportation Educator Award from the Institute of Transportation Engineers (ITE). He is the immediate past chair of the Transportation Research Board Committee on Transportation Demand Forecasting and the International Association for Travel Behaviour Research. 相似文献
69.
为了保证大型活动安全、高效运营,围绕交通需求管理(TDM)的作用机理,在对纽约、伦敦和新加坡及香港、上海实施的交通需求管理政策和措施进行分析总结的基础上,结合我国城市的发展现状.提出国内城市大型活动进行交通需求管理的方法,并通过实际事例对提出的方法进行了验证。 相似文献
70.
"行政执法一面旗"建设,强调依法行政,执法为民理念,体现海事行政执法先进性,是社会主义核心价值体系的重要内容,是海事系统践行"三个服务"的重要举措,是海事事业科学发展的重要保证.海事文化是海事系统在长期水上安全监督、改革发展中倡导、积累、筛选、提炼形成的思想方法、价值取向和行为习惯,是海事核心竞争力的核心要素和重要组成部分,代表了海事发展软实力.文中通过探讨"行政执法一面旗"建设和海事文化建设的内在关系,以此加深对"行政执法一面旗"深刻内涵的理解,拓宽海事文化发展思路,促进海事事业又好又快发展. 相似文献