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161.
Kang Yu-Tao Chen Wei-Jiong Zhu Da-Qi Wang Jin-Hui 《Journal of Marine Science and Technology》2021,26(4):1026-1037
Journal of Marine Science and Technology - Collision avoidance path planning is still one of the essential problems in the design and application of an intelligent maritime navigation system. Its... 相似文献
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为确保内河双燃料船LNG储气罐安放位置的科学性及可靠性,研究如何把层次分析法和模糊数学理论应用到储气罐位置的综合评价中。通过对航行船只的调查研究,确定双燃料动力船安全评价指标和各项指标分级隶属函数,从而建立双燃料动力船安全评价的多层次模糊综合评价体系。 相似文献
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由于深水泊位建造日趋增多,沉箱预制逐渐向高大发展。保证质量犹为重要。结合在连云港港赣榆港区一期工程中沉箱预制施工管理实践,介绍施工工艺流程。分析施工中存在的问题。阐述施工过程中主要工序的质量控制要点。 相似文献
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文章从工程的造价、质量、工期、安全、生态环境及社会效益等角度,通过对沉管隧道与桥梁、盾构隧道渡越方案的分析、对比和论证,着重指出采用沉管隧道方案穿越江河海湾的诸多优越性. 相似文献
169.
Travel to and from school can have social, economic, and environmental implications for students and their parents. Therefore, understanding school travel mode choice behavior is essential to find policy-oriented approaches to optimizing school travel mode share. Recent research suggests that psychological factors of parents play a significant role in school travel mode choice behavior and the Multiple Indicators and Multiple Causes (MIMIC) model has been used to test the effect of psychological constructs on mode choice behavior. However, little research has used a systematic framework of behavioral theory to organize these psychological factors and investigate their internal relationships. This paper proposes an extended theory of planned behavior (ETPB) to delve into the psychological factors caused by the effects of adults’ cognition and behavioral habits and explores the factors’ relationship paradigm. A theoretical framework of travel mode choice behavior for students in China is constructed. We established the MIMIC model that accommodates latent variables from ETPB. We found that not all the psychological latent variables have significant effects on school travel mode choice behavior, but habit can play an essential role. The results provide theoretical support for demand policies for school travel. 相似文献
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This paper extends the work on Pareto-improving hybrid rationing and pricing policy for general road networks by considering heterogeneous users with different values of time. Mathematical programming models are proposed to find a multiclass Pareto-improving pure road space rationing scheme (MPI-PR) and multiclass hybrid rationing and pricing schemes (MHPI and MHPI-S). A numerical example with a multimodal network is provided for comparing both the efficiency and equity of the three proposed policies. We discover that MHPI-S can achieve the largest reduction in total system delay, MHPI can induce the least spatial inequity and MHPI-S is a progressive policy which is appealing to policy makers. Furthermore, numerical results reveal that different classes of users react differently to the same hybrid policies and multiclass Pareto-improving hybrid schemes yield less delay reduction when compared to their single-class counterparts. 相似文献