全文获取类型
收费全文 | 2155篇 |
免费 | 402篇 |
专业分类
公路运输 | 634篇 |
综合类 | 1093篇 |
水路运输 | 109篇 |
铁路运输 | 223篇 |
综合运输 | 498篇 |
出版年
2025年 | 17篇 |
2024年 | 52篇 |
2023年 | 42篇 |
2022年 | 96篇 |
2021年 | 111篇 |
2020年 | 114篇 |
2019年 | 81篇 |
2018年 | 114篇 |
2017年 | 123篇 |
2016年 | 125篇 |
2015年 | 130篇 |
2014年 | 200篇 |
2013年 | 183篇 |
2012年 | 161篇 |
2011年 | 158篇 |
2010年 | 120篇 |
2009年 | 108篇 |
2008年 | 115篇 |
2007年 | 141篇 |
2006年 | 118篇 |
2005年 | 54篇 |
2004年 | 31篇 |
2003年 | 29篇 |
2002年 | 21篇 |
2001年 | 33篇 |
2000年 | 13篇 |
1999年 | 8篇 |
1998年 | 10篇 |
1997年 | 7篇 |
1996年 | 7篇 |
1995年 | 6篇 |
1994年 | 6篇 |
1993年 | 8篇 |
1992年 | 3篇 |
1991年 | 3篇 |
1989年 | 6篇 |
1988年 | 2篇 |
1987年 | 1篇 |
排序方式: 共有2557条查询结果,搜索用时 0 毫秒
41.
为深入落实"交通强国"战略和实现"全域旅游"目标,推动旅游与交通深度融合发展,需做好旅游交通体系发展的顶层设计。通过分析旅游交通面临的问题,提出了旅游交通融合发展的理念。将福建省作为案例,针对福建旅游交通网络面临的问题,提出了"快旅慢游"旅游交通体系的建设目标、实施方案及保障措施。依托高铁、民航、邮轮和公路等综合立体交通网络,提出了"一带三环多放射"旅游交通"快旅"通道的发展思路;通过特色旅游产品开发、旅游服务质量提升等方面,规划了"慢游"微循环旅游交通的发展方案,构建了福建省多层次、综合立体的旅游交通体系发展新格局。以期通过福建省旅游交通融合发展案例研究,为其他省市旅游交通融合发展借鉴参考。 相似文献
42.
交通信息服务条件下的出行选择分析 总被引:12,自引:2,他引:12
首先 ,探讨了出行者的出行心理、行为以及信息之间的相互关系 ,在此基础上 ,简要分析了出行者的出行选择。其次 ,考虑在交通信息服务条件下 ,由于出行者本身以及信息方面的原因 ,出行选择可能出现过激反应、集聚反应等问题。最后 ,针对上述问题 ,提出应该加以重视的或有待进一步研究的几个问题。 相似文献
43.
考虑雾天环境下不良视距对驾驶行为的影响,基于驾驶模拟器为实验平台,通过对46名实验人员在不同雾天实验场景下的测试来分析雾天对驾驶人紧急避撞行为的影响.选取一组非平衡重复测量数据,以刹车瞬时速度和刹车反应时间为因变量,将性别、职业作为固定效应,雾天作为重复测量变量建立线形混合效应模型,并采用SPSS求解.结果表明,在无雾、轻雾与浓雾环境下,驾驶人的平均刹车反应时间分别是1.22,1.26,1.56s,而平均刹车瞬时速度分别为68.10,45.53,48.85 km/h.与无雾环境相比,驾驶人在有雾环境下的可视距离受到限制,刹车反应时间分别增加了0.04 s和0.34s,刹车瞬时速度分别减少了22.57 km/h和19.25 km/h. 相似文献
44.
车载信息系统可向驾驶人提供丰富信息,从而影响驾驶行为,提高道路交通系统运行安全效率.但目前车载信息发布形式与内容并不完善,对驾驶行为控制作用差.为了提高驾驶安全水平,从驾驶人驾驶行为的信息调节特性人手,分析了车载信息不同表达方式及其对驾驶行为控制作用,并探讨将信息进程与驾驶行为进程交互融合.从信息调度的角度,分析车载信息调度形式、参数及可调度的信息集合,分析调度过程,并举例说明如何通过信息调度实现驾驶行为控制,提高车辆运行的安全性、可靠性.研究结果表明,车载信息系统通过发布车载信息影响驾驶行为,能够在一定程度上达到驾驶行为控制目的.针对驾驶人的多感官复合感知特性,将信息进程与行为进程相互融合,采用多种形式的信息调度,能够有效提高其对驾驶行为控制作用. 相似文献
45.
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. 相似文献
46.
In mode choice decision, travelers consider not only travel time but also reliability of its modes. In this paper, reliability was expressed in terms of standard deviation and maximum delay that were measured based on triangular distribution. In order to estimate value of time and value of reliability, the Multinomial and Nested Logit models were used. The analysis results revealed that reliability is an important factor affecting mode choice decisions. Elasticity is used to estimate the impacts of the different policies and system improvements for water transportation mode. Among these policies, decision maker can assess and select the best alternative by doing the benefit and cost analysis based on a new market share, the value of time, and the value of reliability. Finally, a set of promising policies and system improvement of the water transportation were proposed. 相似文献
47.
Michiel C.J. Bliemer John M. Rose 《Transportation Research Part A: Policy and Practice》2011,45(1):63-79
Discrete choice experiments are conducted in the transport field to obtain data for investigating travel behaviour and derived measures such as the value of travel time savings. The multinomial logit (MNL) and other more advanced discrete choice models (e.g., the mixed MNL model) have often been estimated on data from stated choice experiments and applied for planning and policy purposes. Determining efficient underlying experimental designs for these studies has become an increasingly important stream of research, in which the objective is to generate stated choice tasks that maximize the collected information, yielding more reliable parameter estimates. These theoretical advances have not been rigorously tested in practice, such that claims on whether the theoretical efficiency gains translate into practice cannot be made. Using an extensive empirical study of air travel choice behaviour, this paper presents for the first time results of different stated choice experimental design approaches, in which respective estimation results are compared. We show that D-efficient designs keep their promise in lowering standard errors in estimating, thereby requiring smaller sample sizes, ceteris paribus, compared to a more traditional orthogonal design. The parameter estimates found using an orthogonal design or an efficient design turn out to be statistically different in several cases, mainly attributed to more or less dominant alternatives existing in the orthogonal design. Furthermore, we found that small designs with a limited number of choice tasks performs just as good (or even better) than a large design. Finally, we show that theoretically predicted sample sizes using the so-called S-estimates provide a good lower bound. This paper will enable practitioners in better understanding the potential benefits of efficient designs, and enables policy makers to make decisions based on more reliable parameter estimates. 相似文献
48.
As intelligent transportation systems (ITS) approach the realm of widespread deployment, there is an increasing need to robustly capture the variability of link travel time in real-time to generate reliable predictions of real-time traffic conditions. This study proposes an adaptive information fusion model to predict the short-term link travel time distribution by iteratively combining past information on link travel time on the current day with the real-time link travel time information available at discrete time points. The past link travel time information is represented as a discrete distribution. The real-time link travel time is represented as a range, and is characterized using information quality in terms of information accuracy and time delay. A nonlinear programming formulation is used to specify the adaptive information fusion model to update the short-term link travel time distribution by focusing on information quality. The model adapts good information by weighing it higher while shielding the effects of bad information by reducing its weight. Numerical experiments suggest that the proposed model adequately represents the short-term link travel time distribution in terms of accuracy and robustness, while ensuring consistency with ambient traffic flow conditions. Further, they illustrate that the mean of a representative short-term travel time distribution is not necessarily a good tracking indicator of the actual (ground truth) time-dependent travel time on that link. Parametric sensitivity analysis illustrates that information accuracy significantly influences the model, and dominates the effects of time delay and the consistency constraint parameter. The proposed information fusion model bridges key methodological gaps in the ITS deployment context related to information fusion and the need for short-term travel time distributions. 相似文献
49.
Maria Börjesson Mogens FosgerauStaffan Algers 《Transportation Research Part A: Policy and Practice》2012,46(2):368-377
Transport infrastructure is long-term and in appraisal it is necessary to value travel time savings for future years. This requires knowing how the value of time (VTT) will develop over time as incomes grow. This paper investigates if the cross-sectional income elasticity of the VTT is equal to inter-temporal income elasticity. The study is based on two identical stated choice experiments conducted with a 13 year interval. Results indicate that the relationship between income and the VTT in the cross-section has remained unchanged over time. As a consequence, the inter-temporal income elasticity of the VTT can be predicted based on cross-sectional income elasticity. However, the income elasticity of the VTT is not a constant but increases with income. For this reason, the average income elasticity of the VTT in the cross-sections has increased between the two survey years and can be expected to increase further over time. 相似文献
50.
Joyce M. Dargay Stephen Clark 《Transportation Research Part A: Policy and Practice》2012,46(3):576-587
This study analyses of the determinants of long distance travel in Great Britain using data from the 1995-2006 National Travel Surveys (NTSs). The main objective is to determine the effects of socio-economic, demographic and geographic factors on long distance travel. The estimated models express the distance travelled for long distance journeys as a function of income, gender, age, employment status, household characteristics, area of residence, size of municipality, type of residence and length of time living in the area. A time trend is also included to capture common changes in long distance travel over time not included in the explanatory variables. Separate models are estimated for total travel, travel by each of four modes (car, rail, coach and air), travel by five purposes (business, commuting, leisure, holiday and visiting friends and relatives (VFRs)) and two journey lengths (<150 miles and 150+ miles one way), as well as the 35 mode-purpose-distance combinations.The results show that long distance travel is strongly related to income: air is most income-elastic, followed by rail, car and finally coach. This is the case for most journey purposes and distance bands. Notable is the substantial difference in income elasticities for rail for business/commuting as opposed to holiday/leisure/VFR. In addition, the income elasticity for coach travel is very low, and zero for the majority of purpose-distance bands, suggesting coach travel to be an inferior mode in comparison to car, rail and air. Regarding journey distance, we find that longer distance journeys are more income elastic than shorter journeys.For total long distance travel, the study indicates that women travel less than men, the elderly less than younger people, the employed and students more than others, those in one adult households more than those in larger households and those in households with children less than those without. Long distance travel is also lowest for individuals living in London and greatest for those in the South West, and increases as the size of the municipality declines. 相似文献