Bicycle mode share in China: a city-level analysis of long term trends

In the past 15 years, cities in China have experienced big changes in socioeconomic and traffic conditions, resulting in a long term change in bicycle use. This study aims to quantify the changes in bicycle mode share in Chinese cities and explore the potential causes. Based on data from 51 cities, it is found that bicycle mode share at the city level decreased gradually in the past. Conventional bicycle mode share decreased with a rate of 3 % per year, but electric bicycle mode share increased with a rate of 2 % per year. The correlations between city features such as demographics and built environments and bicycle mode share at different city sizes are compared. The generalized linear models are estimated to relate the changes in the share of different trip modes to various city-level factors. The results show that the bicycle mode share in a city is impacted by factors including city area size, population density, number of cars, percentage of local road mileage among all roads, and trip purpose. Possible reasons for the changes in bicycle uses in Chinese cities are explored and policy implications are discussed.     

Long-term impact of the Shinkansen on rail and air demand: analysis with data from Northeast Japan

This paper analyses how the high-speed rail construction in Northeast Japan (Tohoku) has affected total demand and interregional travel patterns. We use annual interregional passenger data from 1989 to 2012 and apply regression analysis with the demand between Tokyo and the Tohoku prefectures as the dependent variable. We distinguish particularly between the ‘Full-’ and the ‘Mini-’ Shinkansen, where the latter are branch services running with reduced speed. We find that the ‘Full-Shinkansen’ quickly increases rail and total public transport trips and generates additional rail demand year on year. The ‘Mini-Shinkansen’ impacts are less pronounced. Furthermore, our analysis shows that the Shinkansen has shifted some demand from air to rail once it started operation and increased rail share gradually. We therefore suggest that predictions of demand impacts should carefully distinguish immediate from gradual impacts. We also discuss differences in regional demand in that not all prefectures have gained equally from Shinkansen construction.     

洋山深水港区进港海堤变形观测及分析

为了解洋山深水港区西港区A区陆域形成对进港海堤的影响,自2006年10月初开始对进港海堤进行变形观测,此项工作至今仍在观测中.根据2006年10月至2007年12月,15个月的观测资料,阐述东海大桥进港海堤的变形观测方法与精度,同时,结合地质资料分析变形观测的数据.     

江苏丰立码头工程定点流速流向的观测与分析

结合长江下游某工程定点流速、流向观测和实测数据分析,认为在受海潮影响较大的测区水域,定点流速、流向观测数据比表面流速数据能够更准确和全面地反映流场情况。建议长江下游水上工程项目要进行定点流速、流向观测。     

舫海类专业学生专业对口岗位模型的构建

依据上海海事大学航海类专业毕业生在企业的就业状况调研,分析航海类专业学生的专业对口岗位发展模型.提出航海类院校应强化学生专业思想,紧贴市场,加强与企业之间的联系,深化职业道德教育,增强航海类专业毕业生职业忠诚度.     

辽宁省高校毕业生择业、就业问题调查分析

在对辽宁省高校毕业生择业、就业情况进行调查的基础上,分析影响辽宁省高校毕业生择业、就业的主要因素,以及导致就业难的主要原因,并根据分析结果提出解决辽宁省高校毕业生就业难的相应政策建议。     

基于历史保护的老城区公共交通改善研究

受历史保护等诸多因素制约,我国许多城市的老城路网条件较差,交通拥堵严重,公共交通发展水平滞后。如何改善老城交通环境,构建宜居、活力、创新的老城,是社会各界共同关注的焦点。文中以佛山老城为例,提出基于历史保护的老城公共交通改善策略。对公交线网、公交场站、公交资源整合、配套管理等方面进行了研究。     

基于神经网络的道路通行能力与交通需求匹配度判别研究

交通的供需是否匹配关系到城市和枢纽的发展前景。文中在探讨道路通行能力与需求匹配特性的基础上,用BP神经网络理论建立一种交通匹配预测模型。该模型发挥神经网络的优势,对数据并行处理和分布存储,通过训练、学习产生一个非线性映射,自适应地对数据进行预测。通过相关数据实验证明,该神经网络模型有较高的精度,并有较好的适用性。     

舰艇雷达有源干扰战术运用研究

从水面舰艇雷达有源干扰的任务、特点、分类等问题出发,研究舰艇雷达有源干扰的战术运用,并在此基础上通过建立雷达有源干扰方程进行定量分析和研究。     

自行加榴炮射击误差的仿真研究

射击精度可以用射击误差表示,依据某自行加榴炮射表,结合弹道理论分析方法,使用蒙特卡洛法对其射击精度进行误差特性仿真,找出影响射击精度的主要误差来源,此方法可以推广应用到其他武器系统。