全文获取类型
收费全文 | 2555篇 |
免费 | 19篇 |
专业分类
公路运输 | 918篇 |
综合类 | 69篇 |
水路运输 | 724篇 |
铁路运输 | 63篇 |
综合运输 | 800篇 |
出版年
2022年 | 16篇 |
2021年 | 19篇 |
2020年 | 22篇 |
2019年 | 14篇 |
2018年 | 79篇 |
2017年 | 90篇 |
2016年 | 177篇 |
2015年 | 25篇 |
2014年 | 69篇 |
2013年 | 327篇 |
2012年 | 151篇 |
2011年 | 206篇 |
2010年 | 181篇 |
2009年 | 111篇 |
2008年 | 162篇 |
2007年 | 89篇 |
2006年 | 45篇 |
2005年 | 57篇 |
2004年 | 39篇 |
2003年 | 37篇 |
2002年 | 33篇 |
2001年 | 44篇 |
2000年 | 23篇 |
1999年 | 34篇 |
1998年 | 50篇 |
1997年 | 23篇 |
1996年 | 30篇 |
1995年 | 30篇 |
1994年 | 25篇 |
1993年 | 26篇 |
1992年 | 21篇 |
1991年 | 16篇 |
1990年 | 12篇 |
1989年 | 17篇 |
1988年 | 21篇 |
1987年 | 18篇 |
1986年 | 21篇 |
1985年 | 13篇 |
1984年 | 18篇 |
1983年 | 15篇 |
1982年 | 18篇 |
1981年 | 21篇 |
1980年 | 17篇 |
1979年 | 23篇 |
1978年 | 9篇 |
1977年 | 14篇 |
1976年 | 11篇 |
1975年 | 20篇 |
1974年 | 15篇 |
1973年 | 11篇 |
排序方式: 共有2574条查询结果,搜索用时 15 毫秒
991.
This paper develops a comprehensive approach to the definition of transportation analysis zones (TAZ), and therein, presents
a new methodology and algorithm for the definition of TAZ embedded in geographic information systems software, improves the
base algorithm with several local algorithms, and comprehensively analyses the obtained results. The results obtained are
then compared to these presently used in the transportation analysis process of the Lisbon Metropolitan Area. The proposed
algorithm presents a new methodology for TAZ design based on a smoothed density surface of geocoded travel demand data. The
algorithm aims to minimise the loss of information when moving from a continuous representation of the origin and destination
of each trip to their discrete representations through zones, and focuses on the trade-off between the statistical precision,
geographical error, and the percentage of intra-zonal trips of the resulting OD matrix. The results for the Lisbon Metropolitan
Area case study suggest a significant improvement in OD matrix estimates compared to current transportation analysis practises
based on administrative units.
Luis M. Martínez is a Civil Engineer from the Instituto Superior Técnico, Technical University of Lisbon since 2004. After finishing his degree, he started his work as researcher in the CESUR (Civil Engineering & Architecture Department—Instituto Superior Técnico) where he has been working since. In 2006 he completed his Master Thesis at Instituto Superior Técnico on Traffic Analysis Zones modeling and started his PhD studies on the theme: Metropolitan Transportation Systems Financing Using the Value Capture Concept. José Manuel Viegas is Full Professor of Transportation at the Civil Engineering & Architecture Department of the Instituto Superior Técnico, Technical University of Lisbon. He has worked extensively in Modeling, Innovation and Policy in several types of Transport Systems. He was founder and first Director General of Transportnet, a group of eight leading European Universities with Advanced Studies in Transportation, and currently leads the Portuguese side of the Transportation Systems area in the MIT—Portugal program. Elisabete A. Silva is at the University of Cambridge (University Lecturer in Planning at the Department of Land Economy and a Fellow of Robinson College). With more than 100 contributions in peer review journals, books/books chapters, conference proceedings, and a research track record of approximately 16 years, (both at the public and private sector), her research interests are centred on the application of new technologies to spatial planning in particular city and metropolitan dynamic modelling through time. 相似文献
Elisabete A. SilvaEmail: |
Luis M. Martínez is a Civil Engineer from the Instituto Superior Técnico, Technical University of Lisbon since 2004. After finishing his degree, he started his work as researcher in the CESUR (Civil Engineering & Architecture Department—Instituto Superior Técnico) where he has been working since. In 2006 he completed his Master Thesis at Instituto Superior Técnico on Traffic Analysis Zones modeling and started his PhD studies on the theme: Metropolitan Transportation Systems Financing Using the Value Capture Concept. José Manuel Viegas is Full Professor of Transportation at the Civil Engineering & Architecture Department of the Instituto Superior Técnico, Technical University of Lisbon. He has worked extensively in Modeling, Innovation and Policy in several types of Transport Systems. He was founder and first Director General of Transportnet, a group of eight leading European Universities with Advanced Studies in Transportation, and currently leads the Portuguese side of the Transportation Systems area in the MIT—Portugal program. Elisabete A. Silva is at the University of Cambridge (University Lecturer in Planning at the Department of Land Economy and a Fellow of Robinson College). With more than 100 contributions in peer review journals, books/books chapters, conference proceedings, and a research track record of approximately 16 years, (both at the public and private sector), her research interests are centred on the application of new technologies to spatial planning in particular city and metropolitan dynamic modelling through time. 相似文献
992.
Agachai Sumalee Zhijia Tan William H.K. Lam 《Transportation Research Part B: Methodological》2009,43(8-9):895-912
This paper proposes a stochastic dynamic transit assignment model with an explicit seat allocation process. The model is applicable to a general transit network. A seat allocation model is proposed to estimate the probability of a passenger waiting at a station or on-board to get a seat. The explicit seating model allows a better differentiation of in-vehicle discomfort experienced by sitting and standing passengers. The paper proposes simulation procedures for calculating the sitting probability of each type of passengers. A heuristic solution algorithm for finding an equilibrium solution of the proposed model is developed and tested. The numerical tests show significant influences of the seat allocation model on equilibrium departure time and route choices of passengers. The proposed model is also applied to evaluate the effects of an advanced public transport information system (APTIS) on travellers’ decision-making. 相似文献
993.
Erika Spissu Abdul Rawoof Pinjari Ram M. Pendyala Chandra R. Bhat 《Transportation》2009,36(4):403-422
In this paper, a joint model of vehicle type choice and utilization is formulated and estimated on a data set of vehicles
drawn from the 2000 San Francisco Bay Area Travel Survey. The joint discrete–continuous model system formulated in this study
explicitly accounts for common unobserved factors that may affect the choice and utilization of a certain vehicle type (i.e.,
self-selection effects). A new copula-based methodology is adopted to facilitate model estimation without imposing restrictive
distribution assumptions on the dependency structures between the errors in the discrete and continuous choice components.
The copula-based methodology is found to provide statistically superior goodness-of-fit when compared with previous estimation
approaches for joint discrete–continuous model systems. The model system, when applied to simulate the impacts of a doubling
in fuel price, shows that individuals are more likely to shift vehicle type choices than vehicle usage patterns.
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 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. 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. 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: |
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 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. 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. 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
994.
Philippe Barla Bernard Lamonde Luis F. Miranda-Moreno Nathalie Boucher 《Transportation》2009,36(4):389-402
This paper presents estimates of the rebound effect and other elasticities for the Canadian light-duty vehicle fleet using
panel data at the provincial level from 1990 to 2004. We estimate a simultaneous three-equation model of aggregate demand
for vehicle kilometers traveled, vehicle stock and fuel efficiency. Price and income elasticities obtained are broadly consistent
with those reported in the literature. Among other results, an increase in the fuel price of 10% would reduce driving by ~2%
in the long term and by 1% the average fuel consumption rate. Estimates of the short- and long-term rebound effects are ~8
and 20%, respectively. We also find that an increase in the gross domestic product per capita of 10% would cause an increase
in driving distance of 2–3% and an increase of up to 4% in vehicle stock per adult. In terms of policy implications, our results
suggest that: (1) the effectiveness of new fuel efficiency standards will be somewhat mitigated by the rebound effect and
(2) fuel price increases have limited impacts on gasoline demand.
Philippe Barla is full professor at the economics department of Université Laval. He is currently the director of the research center GREEN and is a member of CDAT. He is conducting theoretical and empirical research on energy efficiency in the transportation sector. Bernard Lamonde obtained his MA in economics in 2007 working on this project. He is working as an economist for Agence de l’efficacité énergique du Québec. Luis Miranda-Moreno is professor at McGill Department of Civil Engineering and Applied Mechanics. He was post-doctoral student at CDAT when this research was carried out. His research interests include road safety, travel behaviour and demand modeling. Nathalie Boucher holds a PhD in economics from Queens’ University. She is the executive director the CDAT a research center dedicated to improving knowledge about energy use in the Canadian private and commercial transportation sector. 相似文献
Philippe BarlaEmail: |
Philippe Barla is full professor at the economics department of Université Laval. He is currently the director of the research center GREEN and is a member of CDAT. He is conducting theoretical and empirical research on energy efficiency in the transportation sector. Bernard Lamonde obtained his MA in economics in 2007 working on this project. He is working as an economist for Agence de l’efficacité énergique du Québec. Luis Miranda-Moreno is professor at McGill Department of Civil Engineering and Applied Mechanics. He was post-doctoral student at CDAT when this research was carried out. His research interests include road safety, travel behaviour and demand modeling. Nathalie Boucher holds a PhD in economics from Queens’ University. She is the executive director the CDAT a research center dedicated to improving knowledge about energy use in the Canadian private and commercial transportation sector. 相似文献
995.
There is a growing interest in traveller behaviour research to explore alternative information processing strategies (often
referred to as heuristics or rules) adopted by individuals when assessing packages of attributes describing alternatives in
a choice set, and making a choice. One popular attribute processing rule relates to attributes not being considered (i.e.,
being ignored), for all manner of reasons, referred to in the small but growing literature as attribute non-attendance or
non-preservation. Researchers have used a mixture of methods to study the role of attribute non-attendance, including supplementary
questions on whether each attribute is ignored or not, and methods in which the functional form of the utility expressions
defining an alternative can recognise the possibility, up to a probability, of an attribute being ignored. Although supplementary
questions are worthy of further consideration, despite the controversy as to the reliability of the response, recent interest
has focused on ways to establish the incidence of attribute non-attendance without recourse to such evidence. In this paper
we use an existing data set of choice amongst four attributes describing alternative car non-commuting trips, to illustrate
the proposed method, and to compare values of travel time savings under each possible combination of non-attendance attributes
relative to a model in which all attributes are assumed to be fully attended to. The paper reveals a major concern with the
way that attribute levels and ranges are selected in the design of choice experiments, which can induce non-attendance situations
where willingness to pay estimates cannot be obtained. 相似文献
996.
<Emphasis Type="Italic">Not</Emphasis> driving alone? American commuting in the twenty-first century
This paper investigates recent commuting trends by American workers. Unlike most studies of commuting that rely on data from
the American Community Survey this study utilizes the American Time Use Survey to detail the complex commuting patterns of
modern-day workers. Changes in the price of gasoline in recent years suggest that the incidence of “driving alone” should
be on the decline. Indeed, results show that the sensitivity of modal commuting with respect to changes in gasoline prices
appears to be relatively large. We estimate the gasoline-price elasticity of driving alone to be 0.057 and the gasoline-price
elasticity of carpooling to be 0.502. Additional factors also affect commuting, including socio-economic characteristics and
social desires. However, it is changes in gasoline prices that appear to account for nearly all of the recent variation in
the mode chosen for commuting. 相似文献
997.
This study presents a unified framework to understand the weekday recreational activity participation time-use of adults,
with an emphasis on the time expended in physically active recreation pursuits by location and by time-of-day. Such an analysis
is important for a better understanding of how individuals incorporate physical activity into their daily activities on a
typical weekday, and can inform the development of effective policy interventions to facilitate physical activity. Furthermore,
such a study of participation and time use in recreational activity episodes contributes to activity-based travel demand modeling,
since recreational activity participation comprises a substantial share of individuals’ total non-work activity participation.
The methodology employed here is the multiple discrete continuous extreme value (MDCEV) model, which provides a unified framework
to explicitly and endogenously examine time use by type, location, and timing. The data for the empirical analysis is drawn
from the 2000 Bay Area Travel Survey (BATS), supplemented with other secondary sources that provide information on physical
environment variables. To our knowledge, this is the first study to jointly address the issues of ‘where’, ‘when’ and ‘how
much’ individuals choose to participate in ‘what type of (recreational) activity’. 相似文献
998.
Agent-based microsimulation models of transportation, land use or other socioeconomic processes require an initial synthetic
population derived from census data, conventionally created using the iterative proportional fitting (IPF) procedure. This
paper introduces a novel computational method that allows the synthesis of many more attributes and finer attribute categories
than previous approaches, both of which are long-standing limitations discussed in the literature. Additionally, a new approach
is used to fit household and person zonal attribute distributions simultaneously. This technique was first adopted to address
limitations specific to Canadian census data, but could also be useful in U.S. and other applications. The results of each
new method are evaluated empirically in terms of goodness-of-fit. 相似文献
999.
Stephane Hess David A. Hensher 《Transportation Research Part A: Policy and Practice》2012,46(3):626-644
Stated choice surveys are used extensively in the study of choice behaviour across many different areas of research, notably in transport. One of their main characteristics in comparison with most types of revealed preference (RP) surveys is the ability to capture behaviour by the same respondent under varying choice scenarios. While this ability to capture multiple choices is generally seen as an advantage, there is a certain amount of unease about survey length. The precise definition about what constitutes a large number of choice tasks however varies across disciplines, and it is not uncommon to see surveys with up to twenty tasks per respondent in some areas. The argument against this practice has always been one of reducing respondent engagement, which could be interpreted as a result of fatigue or boredom, with frequent reference to the findings of Bradley and Daly (1994) who showed a significant drop in utility scale, i.e. an increase in error, as a respondent moved from one choice experiment to the next, an effect they related to respondent fatigue. While the work by Bradley and Daly has become a standard reference in this context, it should be recognised that not only was the fatigue part of the work based on a single dataset, but the state-of-the-art and the state-of-practice in stated choice survey design and implementation has moved on significantly since their study. In this paper, we review other literature and present a more comprehensive study investigating evidence of respondent fatigue across a larger number of different surveys. Using a comprehensive testing framework employing both Logit and mixed Logit structures, we provide strong evidence that the concerns about fatigue in the literature are possibly overstated, with no clear decreasing trend in scale across choice tasks in any of our studies. For the data sets tested, we find that accommodating any scale heterogeneity has little or no impact on substantive model results, that the role of constants generally decreases as the survey progresses, and that there is evidence of significant attribute level (as opposed to scale) heterogeneity across choice tasks. 相似文献
1000.
This paper proposes an analytical model for investigating transit technology selection problem from a perspective of transit authority. Given a transit technology alternative (e.g., metro, light rail transit, or bus rapid transit), the proposed model aims to maximize the social welfare of the transit system by determining the optimal combination of transit line length, number of stations, station location (or spacing), headway, and fare. In the proposed model, the effects of passenger demand elasticity and capacity constraint are explicitly considered. The properties of the model are examined analytically, and a heuristic solution procedure for determining the model solution is presented. By comparing the optimized social welfare for different transit technology alternatives, the optimal transit technology solution can be obtained together with critical population density. On the basis of a simple population growth rate formula, optimal investment timing of a new transit technology can be estimated. The proposed methodology is illustrated in several Chinese cities. Insightful findings are reported on the interrelation among transit technology selection, population density, transit investment cost, and transit line parameter design as well as the comparison between social welfare maximization and profit maximization regimes. Copyright © 2014 John Wiley & Sons, Ltd. 相似文献