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排序方式: 共有1047条查询结果,搜索用时 15 毫秒
81.
城市轨道交通是一种快捷、高效、节能环保的大容量城市客运交通方式,而且对于沿线房地产的开发具有巨大的带动作用.本文定性分析了城市轨道交通对房地产价值的影响机理,并采用地价影响函数模型,对武汉城市轨道交通1号线地价影响函数相关参数进行了标定.定量研究证实了城市轨道交通时房地产价值的拉动作用.最后提出了武汉市轨道交通与房地产... 相似文献
82.
考虑到宁波市林立的桥梁,较大的水域纵横连通,同时路面上的交通状况时常不理想,本文基于历史面向未来,从民众需求,政府支持,航道情况,其他兄弟城市的相关现状等角度着手,通过文献调研,问卷调查,数据分析等方式来论述宁波市发展水上公共交通的可行性. 相似文献
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城市公交规划、管理工作迫切需要信息化技术给予定量的决策数据支持.公交出行分布数据通常基于居民出行调查获得,然而因其调查代价巨大不能作为常态化调查手段.短期的公交线网调整工作更依赖于现状的公交出行分布需求,本文由此提出了一种利用公交GPS和IC卡(含老年卡)数据推算现状公交出行分布的实用方法.当前在大城市常住人口使用IC卡作为公交支付手段已得到相当普及,采用基于车载GPS和乘客IC卡记录能够推断得到全日公交OD数据并用于公交出行量回归模型的标定.模型检验通过后,可结合人口数据和就业岗位资料用标定模型计算以投币作为主要付费方式的流动人口公交OD;叠加两部分OD得到完整的城市公交出行分布结果.该模型的有效性通过2010年郑州市综合交通调查实践得以验证,对其它城市具有借鉴意义. 相似文献
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Road traffic accident fatalities lead to important private and social costs in the metropolitan areas of most low and middle income countries. An important share of these fatalities is due to injuries to the head and the neck. Helmets can provide efficient protection, but many drivers do not use them. We focus on helmet use behavior among motorbike users in Delhi. We use a detailed data set collected for the purpose of the study. To guide our empirical analysis, we rely on a model in which drivers decide on self-protection and self-insurance. The empirical findings suggest that risk-averse drivers are more likely to wear a helmet and that this has no systematic effect on speed. Helmet use also increases with education. Drivers who show a higher awareness of road risks seem to be both more likely to wear a helmet and to speed less. Controlling for risk awareness, we observe that drivers tend to compensate between speed and helmet use. The results can provide a basis for awareness-raising policies. They also show that improvements to the road infrastructure risk leading to risk-compensating behavior. 相似文献
88.
With the continuous expansion of urban rapid transit networks, disruptive incidents—such as station closures, train delays, and mechanical problems—have become more common, causing such problems as threats to passenger safety, delays in service, and so on. More importantly, these disruptions often have ripple effects that spread to other stations and lines. In order to provide better management and plan for emergencies, it has become important to identify such disruptions and evaluate their influence on travel times and delays. This paper proposes a novel approach to achieve these goals. It employs the tap-in and tap-out data on the distribution of passengers from smart cards collected by automated fare collection (AFC) facilities as well as past disruptions within networks. Three characteristic types of abnormal passenger flow are divided and analyzed, comprising (1) “missed” passengers who have left the system, (2) passengers who took detours, and (3) passengers who were delayed but continued their journeys. In addition, the suggested computing method, serving to estimate total delay times, was used to manage these disruptions. Finally, a real-world case study based on the Beijing metro network with the real tap-in and tap-out passenger data is presented. 相似文献
89.
大多数城市中,公交车普遍存在可靠性不高的现象,提出可靠的公交这一理念,分析公交运行可靠性的影响因素,给出改进措施,保证公交在线路运行上的优先性,达到准点可靠,提高公交效率的目的。 相似文献
90.
Passenger waiting time and information acquisition using automatic vehicle location for verification
Randolph W. Hall 《运输规划与技术》2013,36(3):249-269
Bus riders utilize a variety of information media to learn how to travel to their destinations and to learn when they should arrive at bus stops. As part of the OCTA (Orange County Transit Authority) Transit Probe evaluation, 1199 passengers were surveyed to measure relationships between information acquisition and waiting time. A unique aspect of the survey was that some of the data could be correlated with automatic‐vehicle‐location (AVL) measurements of bus lateness at stops. Insights are provided as to the types of information riders acquire based on the nature of the trip and demographic characteristics. Insights are also provided as to factors affecting perceived waiting time. We found age group, whether a person needs to arrive at a destination by a specific time, primary language, and whether the person is a first‐time user of the bus line to be significant causal factors. 相似文献