排序方式: 共有127条查询结果,搜索用时 31 毫秒
91.
陈金龙 《筑路机械与施工机械化》1996,13(5):17-18
从原材料控制、拌和、运输、摊铺、碾压等方面简要介绍了LTY8型沥青混凝土摊铺机摊铺二灰碎石混合料的合理使用,重点介绍了该摊铺机在提高摊铺厚度方面的合理使用。 相似文献
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沥青路面热补养护新技术应用探讨 总被引:2,自引:1,他引:2
李家瑞 《筑路机械与施工机械化》2001,18(3):28-30
阐述了热补板工作原理,结构特点,技术规格,使用范围,工作程序,并通过与沥青路面传统的养护方法进行对比,总结出了热补板性能的优缺点,认为沥青路面热补养护是一项值得推广的公路养护新技术。 相似文献
93.
论公路建设中的土地复垦问题 总被引:5,自引:0,他引:5
从可持续发展的战略角度出发,分析和阐述了公路建设中破坏土地的形式和原因,提出了土地复垦在公路建设中运用的思想,对公路建设和土地保护具有一定的指导意义。 相似文献
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兰州新区精细化工园区位于兰州新区西北部,是一座具有国际先进水平的绿色化工园区。为满足兰州新区精细化工园区日益增长的货运需求,分析兰州新区精细化工园区现状及货运量预测情况,确定西小川站为铁路专用线接轨车站,设置装卸区线路布置方案,从线路长度及线路条件、拆迁及征地、施工难度和预估投资4个方面对铁路专用线接轨方案进行比选,最终采用方案Ⅱ-1。兰州新区精细化工园区铁路专用线建成后,可以吸引企业入驻园区,打造国际一流的综合性绿色化工产业基地。 相似文献
97.
城市客运交通需求预测是城市道路交通规划的基础。城市新区因缺乏现状交通调查资料、开发建设速度较快及其交通出行特征,传统客运交通需求预测方法已不再适用。在吸取国内城市道路交通规划实践经验的基础上,针对城市新区背景下道路交通规划的特点及传统客运交通需求预测方法的不足,以城市新区人口和土地利用规划为基础,提出一种面向城市新区的客运交通需求预测方法,可为我国城市新区交通预测提供借鉴。 相似文献
98.
Explaining obesity with urban form: a cautionary tale 总被引:1,自引:0,他引:1
Tudor D. Bodea Laurie A. Garrow Michael D. Meyer Catherine L. Ross 《Transportation》2008,35(2):179-199
In recent years, there has been a dramatic increase in studies exploring associations between the built environment and obesity.
Many studies have found that built environment characteristics, such as high-density land developments, mixed-land uses, and
connected street networks, are associated with lower rates of obesity. However, depending on the research field and the researcher,
how one specifies the experimental model and how sociodemographic characteristics of the population are defined and included
in the model has led to different policy conclusions and implications. This is not a surprising observation; however, it is
one that does seem to have been lost in current discussions. This article highlights several data-processing, model-specification,
and model-estimation factors that should be comprehensively considered in studies of the built environment and obesity. Empirical
results based on data from Atlanta, GA, USA, illustrate that the association between the built environment and obesity is
sensitive to how age, income, and educational attainment are included in the model. Also, a detailed examination of land-use-mix
measures shows that it is difficult to create this measure and that results are sensitive to the treatment of missing values.
Models that distinguish between overweight and obese individuals are shown to provide richer insights into the associations
among obesity, built environment, and sociodemographic characteristics for the Atlanta area. The article concludes by offering
modeling recommendations for future studies.
Tudor D. Bodea is a doctoral student in the School of Civil and Environmental Engineering at the Georgia Institute of Technology. His doctoral work examines the integration of customer-choice models into optimization algorithms for travel-industry applications. Laurie A. Garrow is an assistant professor in the School and Civil and Environmental Engineering at the Georgia Institute of Technology. Her research addresses the development and application of advanced models of travel demand that integrate discrete choice, econometric, and market research methods to enhance understanding of travel behavior. Michael D. Meyer is professor in the School of Civil and Environmental Engineering and Director of the Georgia Transportation Institute at the Georgia Institute of Technology. He has written over 160 technical articles and has authored or coauthored numerous texts on transportation systems, planning, and policy, including a college textbook. In 2006, he was the chairman of the Transportation Research Board Executive Committee. Catherine L. Ross is Harry West professor in the City and Regional Planning Program and Director of the Center for Quality Growth and Regional Development at the Georgia Institute of Technology. She has published extensively in the fields of urban planning, transportation planning, and public participation. She is the coauthor of The Inner City: Urban Poverty and Economic Development in the next Century. 相似文献
Laurie A. GarrowEmail: |
Tudor D. Bodea is a doctoral student in the School of Civil and Environmental Engineering at the Georgia Institute of Technology. His doctoral work examines the integration of customer-choice models into optimization algorithms for travel-industry applications. Laurie A. Garrow is an assistant professor in the School and Civil and Environmental Engineering at the Georgia Institute of Technology. Her research addresses the development and application of advanced models of travel demand that integrate discrete choice, econometric, and market research methods to enhance understanding of travel behavior. Michael D. Meyer is professor in the School of Civil and Environmental Engineering and Director of the Georgia Transportation Institute at the Georgia Institute of Technology. He has written over 160 technical articles and has authored or coauthored numerous texts on transportation systems, planning, and policy, including a college textbook. In 2006, he was the chairman of the Transportation Research Board Executive Committee. Catherine L. Ross is Harry West professor in the City and Regional Planning Program and Director of the Center for Quality Growth and Regional Development at the Georgia Institute of Technology. She has published extensively in the fields of urban planning, transportation planning, and public participation. She is the coauthor of The Inner City: Urban Poverty and Economic Development in the next Century. 相似文献
99.
Xinyu ?Cao 《Transportation》2009,36(2):207-222
The causality issue has become one of the key questions in the debate over the relationships between the built environment
and travel behavior. Although previous studies have tested statistical and/or practical significance of the built environment
on travel behavior, few have quantified the relative roles of the built environment and residential self-selection in influencing
travel behavior. Using 1,479 residents living in four traditional and four suburban neighborhoods in Northern California,
this study explores the causal effect of neighborhood type on driving behavior and its relative contribution to the total
influence of neighborhood type. Specifically, this study applied Heckman’s sample selection model to separate the effect of
the built environment itself and the effect of self-selection. The results showed that, on average, the effect of neighborhood
type itself on driving distance was 25.8 miles per week, which accounted for more than three quarters of the total influence
of neighborhood type and 16% of individuals’ overall vehicle miles driven. These results suggest that the effect of the built
environment on driving behavior outweighs that of self-selection. This paper also discussed the advantages and weaknesses
of applying the Heckman’s model to address the self-selection issue.
相似文献
Xinyu (Jason) CaoEmail: |
100.
通过对昆明、南京、上海、天津四大城市公交场站开发、建设及管理模式的调研,对现有的城市公交场站的开发、建设模式有了较为深入的研究。通过类别分析,对成都市公交场站的发展模式进行了定位,预见其未来发展趋势。并结合成都市城市发展,对成都市公交场站规划与管理提出了具体的建议。 相似文献