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41.
Abstract

For the last five years the technology factor (by which is meant both process and product innovation) has received renewed attention in the transport sector as society is confronted with new challenges. This leads to a call for change and transitions. Technology is considered as a potential answer to new needs and new problems, like the reduction of CO2 and the supply of alternative energy. It is important that there is a theoretical basis for the way of thinking on innovation and diffusion when it comes to technology dynamics. This paper, based on a literature study, addresses the question to what extent the theory of transition management can be considered as a new application of technology dynamics. The theory of technological innovations in the broad sense is analysed and applied to the transport sector.  相似文献   
42.
为了应对不同国家和不同铁路公司的技术要求,阿尔斯通LHB公司以Coradia Nordic系列铰接式列车为基础,开发了模块化的Coradia Lirex Continental新系列电动车组,通过增减模块即可满足不同客户的需求。  相似文献   
43.
美国运输委员会的主要目标之一是提高我们国家的道路安全.针对这一目标,联邦、州和地方交通机构一致认为检测我们的近600 000座桥梁是非常重要的.这些机构每年投入大量资金到桥梁检测方面的行动.确保质量,使得我们的桥梁检查计划维持在最高的水平,且资金的利用尽可能有效.通过美国桥梁检查计划收集的数据不仅用来确保我们的桥梁对公众来说是安全的,而且有助于构建编制桥梁养护、维修、复原和更换的基础.因此,确保高质量的数据收集是在检测过程中进行的,这是极其重要的.  相似文献   
44.
This paper investigates the role of location factors in task and time allocation at the household level. It is hypothesized that, if time constraints are less binding as a result of living in an urban area or owning more cars, spouses engage more often and longer in out-of-home activities and schedule their activities more independently. The hypotheses are tested with logistic and Cox regression models of activity participation and time allocation on a data set collected in the Amsterdam–Utrecht region in the Netherlands. Results suggest that the hypotheses are supported with respect to specific household activity scheduling decisions.  相似文献   
45.
This paper reports the results of a scenario-based simulation study to explore mobility effects of an aging society in the Netherlands. Four accumulative behavioral scenario variants, embedded in an economic and demographic scenario are used to simulate possible future activity-travel patterns, using the Albatross system as the simulator. The variants account for likely differences in activity-travel behavior between elderly today and elderly in the future. Trends ongoing over the last decade in the Netherlands suggest that future elderly need to work longer, change their activity pattern with most growth occurring in the social/leisure activity category, will try to avoid morning peak hours by rescheduling their activities and may introduce more spatial diversity in terms of their residence location. Results show that these behavioral and spatial changes lead to a significant increase in travel demands as well as temporal, spatial and modal shifts in mobility patterns. We discuss possible policy implications of these predictions and evaluate the specific strength of activity-based models for studies of this kind.
Theo ArentzeEmail:

Theo Arentze   received a Ph.D. in Decision Support Systems for urban planning from the Eindhoven University of Technology. He is now an Associate Professor at the Urban Planning Group at the same university. His main fields of expertise and current research interests are activity-based modeling, discrete choice modeling, knowledge discovery and learning-based systems, and decision support systems with applications in urban and transport planning. Harry Timmermans   (1952) holds a Ph.D. degree in Geography/Urban and Regional Planning. He studied at the Catholic University of Nijmegen, The Netherlands. Since 1976 he is affiliated with the Faculty of Architecture, Building and Planning of the Eindhoven University of Technology, The Netherlands. First as an assistant professor of Quantitative and Urban Geography, later as an associate professor of Urban Planning Research. In 1986 he was appointed chaired professor of Urban Planning at the same institute. In 1992 he founded the European Institute of Retailing and Services Studies (EIRASS) in Eindhoven, the Netherlands (a sister-institute of the Canadian Institute of Retailing and Services Studies). His main research interests concern the study of human judgement and choice processes, mathematical modelling of urban systems and spatial interaction and choice patterns and the development of decision support and expert systems for application in urban planning. He has published several books and many articles in journals in the fields of Marketing, Urban Planning, Architecture and Urban Design, Geography, Environmental Psychology, Transportation Research, Urban and Regional Economics, Urban Sociology, Leisure Sciences and Computer Science. Peter Jorritsma   graduated in 1981 as a Traffic Engineer and in 1987 as MSc in Economic Geography at the University of Groningen. After a 2-year period as researcher at the Faculty of Spatial Sciences of the University of Groningen he started in 1989 a career at the Dutch Ministry of Transport, Public Planning and Water Management. Within the Ministry, Peter Jorritsma worked within different research departments. The focus of his research work was on (inter)national public transport issues, spatial planning in relation to transport, travel behaviour in common and travel behaviour of different groups in society (elderly, immigrants, women). Since 2006 Peter Jorritsma is working for the KiM Netherlands Institute for Transport Policy Analysis, a scientific research institute within the Ministry of Transport. Marie-José Olde Kalter   graduated in 1997 as MSc in Traffic and Transport Engineering at the University of Twente. She started her career at Goudappel Coffeng BV, a traffic and transport consultant for public and private parties. Within Goudappel Coffeng, Marie-José was the first 3 years concerned with developing transport models to forecast the future use of infrastructure given different scenario’s and policy measures. After this period she specialized in qualitative and quantitative research methods. In 2005 she continued her career at the Dutch Ministry of Transport, Strategic Modeling and Forecasting. Since 2006 is Marie-José working for the KiM Netherlands Institute for Transport Policy Analysis, a scientific research institute within the Ministry of Transport. She is mainly involved in qualitative and quantitative research related to travel behaviour. Arnout Schoemakers   graduated in 1998 as MSc in Environmental and Infrastructure Planning at the University of Groningen. He started his career at AGV, a traffic and transport consultant for public and private parties. Within AGV, Arnout was concerned with developing land-use and transportation models to forecast the future use of infrastructure and land-use given different scenario’s and policy measures. In 2002 he continued his career at the Dutch Ministry of Transport, Strategic Modeling and Forecasting. At this Ministry Arnout was project manager of the new developed LUTI model TIGRIS XL and the activity based model ALBATROSS. Since 2008 Arnout is working at Oranjewoud, a stock-noted leading consultancy and engineering firm. He is mainly involved developing and using transport models, and in designing processes how to use these model systems in the Dutch planning system.  相似文献   
46.
47.
ABSTRACT

The study of social networks in activity-travel research has recently gained momentum because social activities and social influence were relatively poorly explained in activity-based models of travel demand. Over the last decade, many scholars have shown interest in identifying personal social networks that constitute an important source of explanation of activity-travel behaviour. This paper seeks to review two research streams: social networks and activity-travel behaviour, and social influence and travel decisions. We classify models, summarise empirical findings and discuss important issues that require further research.  相似文献   
48.
Most existing activity-based models have been developed from revealed preference data. This paper introduces an approach to developing activity-based models from stated preference data. We focus on activity behavior as a multi-facet choice process to decide where and in what sequence to conduct activities, i.e., choice of destination and choice of stop pattern. A design strategy is developed to generate choice experiments that allow the estimation of multi-facet models of activity behavior. The results of an empirical application are reported. The experience and results obtained indicate that the proposed approach does provide a stated preference alternative to the revealed preference approach in developing multi-facet models of activity behavior.  相似文献   
49.
Liao  Fanchao  Molin  Eric  Timmermans  Harry  van Wee  Bert 《Transportation》2020,47(2):935-970
Transportation - This paper aims to explore the potential of carsharing in replacing private car trips and reducing car ownership and how this is affected by its attributes. To that affect, a...  相似文献   
50.
This paper investigates the impact of a variety of travel information types on the quality of travel choices. Choice quality is measured by comparing observed choices made under conditions of incomplete knowledge with predicted choice probabilities under complete knowledge. Furthermore, the potential impact of travel information is considered along multiple attribute-dimensions of alternatives, rather than in terms of travel time reductions only. Data is obtained from a choice experiment in a multimodal travel simulator in combination with a web-based mode-choice experiment. A Structural Equation Model is estimated to test a series of hypothesized direct and indirect relations between a traveler’s knowledge levels, information acquisition behavior and the resulting travel-choice quality. The estimation results support the hypothesized relations, which provides evidence of validity and applicability of the developed measure of travel-choice quality. Furthermore, found relations in general provide some careful support for the often expected impact of information on the quality of travel choices. The effects are largest for information services that generate previously unknown alternatives, and lowest for services that provide warnings in case of high travel times only.
Caspar G. ChorusEmail:

Caspar Chorus   holds a PhD in Technical Sciences (cum laude) from Delft University of Technology, and is currently an Assistant Professor at Eindhoven University of Technology’s Urban Planning Group. His general interests include traveler behavior research / decision making under knowledge limitations / discrete choice analysis. Theo Arentze   received a Ph.D. in Decision Support Systems for urban planning from the Eindhoven University of Technology. He is now an Associate Professor at the Urban Planning Group at the same university. His main fields of expertise and current research interests are decision support systems, activity-based modeling, discrete choice modeling, knowledge discovery and learning-based systems with applications in urban and transport planning. Harry Timmermans   received a Ph.D. in Spatial Sciences from the University of Nijmegen. He is Chair of the Urban Planning Group and Director of the European Institute of Retailing and Consumer Services. His main fields of expertise concern behavioral modeling, consumer studies and computer systems in a variety of application contexts including transportation.  相似文献   
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