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741.
Erika Spissu Abdul Rawoof Pinjari Chandra R. Bhat Ram M. Pendyala Kay W. Axhausen 《Transportation》2009,36(5):483-510
Activity-travel behavior research has hitherto focused on the modeling and understanding of daily time use and activity patterns
and resulting travel demand. In this particular paper, an analysis and modeling of weekly activity-travel behavior is presented
using a unique multi-week activity-travel behavior data set collected in and around Zurich, Switzerland. The paper focuses
on six categories of discretionary activity participation to understand the determinants of, and the inter-personal and intra-personal
variability in, weekly activity engagement at a detailed level. A panel version of the Mixed Multiple Discrete Continuous
Extreme Value model (MMDCEV) that explicitly accounts for the panel (or repeated-observations) nature of the multi-week activity-travel
behavior data set is developed and estimated on the data set. The model also controls for individual-level unobserved factors
that lead to correlations in activity engagement preferences across different activity types. To our knowledge, this is the
first formulation and application of a panel MMDCEV structure in the econometric literature. The analysis suggests the high
prevalence of intra-personal variability in discretionary activity engagement over a multi-week period along with inter-personal
variability that is typically considered in activity-travel modeling. In addition, the panel MMDCEV model helped identify
the observed socio-economic factors and unobserved individual specific factors that contribute to variability in multi-week
discretionary activity participation.
Erika Spissu is currently a Research Fellow at the University of Cagliari (Italy). She received her Ph.D. from the University of Palermo and University of Cagliari (Italy) in Transport techniques and economics. She spent the past 2 years at the University of Texas at Austin as a Research Scholar focusing primarily in activity-based travel behavior modeling, time use analysis, and travel demand forecasting. Abdul Rawoof Pinjari is an Assistant Professor in the Department of Civil and Environmental Engineering at the University of South Florida, Tampa. His research interests include time-use and travel-behavior analysis, and activity-based approaches to travel-demand forecasting. He has his Ph.D. from the University of Texas at Austin. 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. Ram M. Pendyala is a Professor of Transportation Systems in the Department of Civil, Environmental, and Sustainable Engineering at Arizona State University. He teaches and conducts research in travel behavior analysis, travel demand modeling and forecasting, activity-based microsimulation approaches, and time use. He specializes in integrated land use—transport models, transport policy formulation, and public transit planning and design. He is currently the Vice-Chair of the International Association for Travel Behavior Research and is the immediate past chair of the Transportation Research Board Committee on Traveler Behavior and Values. He has his PhD from the University of California at Davis. Kay W. Axhausen is a Professor of Transport Planning at the Swiss Federal Institute of Technology (ETH) Zurich. Prior to his appointment at ETH, he worked at the Leopold Franzens University of Innsbruck, Imperial College London and the University of Oxford. He has been involved in the measurement and modelling of travel behaviour for the last 25 years, contributing especially to the literature on stated preferences, microsimulation of travel behaviour, valuation of travel time and its components, parking behaviour, activity scheduling and travel diary data collection. 相似文献
Kay W. AxhausenEmail: |
Erika Spissu is currently a Research Fellow at the University of Cagliari (Italy). She received her Ph.D. from the University of Palermo and University of Cagliari (Italy) in Transport techniques and economics. She spent the past 2 years at the University of Texas at Austin as a Research Scholar focusing primarily in activity-based travel behavior modeling, time use analysis, and travel demand forecasting. Abdul Rawoof Pinjari is an Assistant Professor in the Department of Civil and Environmental Engineering at the University of South Florida, Tampa. His research interests include time-use and travel-behavior analysis, and activity-based approaches to travel-demand forecasting. He has his Ph.D. from the University of Texas at Austin. 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. Ram M. Pendyala is a Professor of Transportation Systems in the Department of Civil, Environmental, and Sustainable Engineering at Arizona State University. He teaches and conducts research in travel behavior analysis, travel demand modeling and forecasting, activity-based microsimulation approaches, and time use. He specializes in integrated land use—transport models, transport policy formulation, and public transit planning and design. He is currently the Vice-Chair of the International Association for Travel Behavior Research and is the immediate past chair of the Transportation Research Board Committee on Traveler Behavior and Values. He has his PhD from the University of California at Davis. Kay W. Axhausen is a Professor of Transport Planning at the Swiss Federal Institute of Technology (ETH) Zurich. Prior to his appointment at ETH, he worked at the Leopold Franzens University of Innsbruck, Imperial College London and the University of Oxford. He has been involved in the measurement and modelling of travel behaviour for the last 25 years, contributing especially to the literature on stated preferences, microsimulation of travel behaviour, valuation of travel time and its components, parking behaviour, activity scheduling and travel diary data collection. 相似文献
742.
论述了土基永久变形的发展机理及其危害性,并从内、外因两个方面分析了影响土基永久变形的重要因素,为利用室内重复荷载三轴试验研究路基土的永久变形特性提供了参考依据。 相似文献
743.
744.
745.
如何保证沥青混凝土路面的平整度,提高路面工程的质量,是高等级公路建设中的难点、重点。分析影响路面平整度的因素,从基础处理、材料控制、施工工艺等方面提出改善路面平整度的措施。 相似文献
746.
Numerical Calculation
of Marine Propeller Hydrodynamic Characteristics in Unsteady Flow by Boundary Element
Method 总被引:2,自引:0,他引:2
In this paper, a low-order potential based on surface panel method is used for the analysis of marine propellers in unsteady flow.A linear propeller wake model is employed and its geometry is assumed to be independent of the time.The calculation in time domain is carried out from a moment when the rotation of the propeller becomes steady instead of from the moment when the rotation strats from stationary condition.At every time step a linear algebraic equation established on a key blade is solved numerically combined with the Kutta pressure conditon.The calculated results by developed code indicate good convergency and effrctiveness of present algotithm for conventional propellers and highly skewed propellers. 相似文献
747.
中国大多数机场在规划之初并未将轨道交通纳入机场集疏运体系,同时城市群区域多机场对多城市的状况也为机场间的陆侧交通衔接带来巨大挑战。以美国东海岸7个典型机场为研究对象,分析机场轨道交通发展因素及衔接模式。基于案例机场陆侧轨道交通客运量和分担率变化情况,总结轨道交通需求增长趋势,剖析机场轨道交通需求增长影响因素,包括机场客运吞吐量增加、非商务旅客出行比例增加、航空旅客年龄及收入降低,以及携带行李数量增加。最后,总结机场与陆侧轨道交通衔接的3种主要模式及其适用条件。 相似文献
748.
城市交通拥堵是导致城市交通碳排放快速增长的重要原因. 分析影响城市交通碳排放的关键因素,收集现有碳排放因子,开展车辆排放测试,建立不同道路类型和服务水平的城市交通碳排放因子数据库. 对ASIF 方法进行改进,基于城市交通拥堵的分类方法,提出中观尺度的城市交通缓堵减排效益评估方法和模型. 以成都市为例,开展城市调研、数据采集与分析、模型运算,评估成都全年城市交通的碳排放总量,其中,交通拥堵的碳排放占48.2%. 设置4种正向减排发展情景和3种反向恶化发展情景,分析不同情景下的碳排放效果. 相似文献
749.
黄晗 《交通运输系统工程与信息》2017,17(1):27-31
为厘清中国交通运输业能源消耗量攀升的原因,本文应用中国交通运输业1991-2014年的数据,基于超越对数生产函数估计出各投入要素的产出弹性和技术进步对产出增长的贡献率,进而测算出中国交通运输业的能源回弹效应.研究结果表明,样本期内中国交通运输业存在较为严重的要素错配与效率损失;中国交通运输业仅有少数年份出现了回弹效应,且有"回火"情形出现;多数年份里中国交通运输业由于能源效率无改善或技术无进步而未形成能源回弹效应,中国交通运输业能源消耗量攀升的主要原因在于行业"高增长、高能耗"的粗放式发展方式. 相似文献
750.
隧道洞口交通安全影响因素分析与对策 总被引:7,自引:0,他引:7
高速公路隧道洞口变通事故原因具有多样性、复杂性的特点。通过对高速公路上隧道洞口变通事故特征的调查.以人、车、路和周围环境体系分析隧道洞口交通安全的影响因素,有利于提出隧道洞口变通安全性的合理对策。 相似文献