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文章基于森林公园慢行交通系统的构成及特点,从宏观、中观、微观三个层面分析了森林公园慢行交通系统的研究框架,并以鹿寨香桥岩森林公园为例,探讨了森林公园慢行交通系统的规划与构建内容。 相似文献
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基于低碳理念的城市慢行交通发展模式研究 总被引:1,自引:0,他引:1
慢行交通系统发展模式是城市交通发展模式研究的重要内容,也是低碳交通、可持续发展交通的重点研究领域。文章介绍了慢行交通的特点、定位及研究现状,并结合我国当前城市发展实际,提出了一系列基于低碳理念的城市慢行交通发展新模式。 相似文献
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从慢行交通系统国内外发展现状入手,分析我国慢行交通系统的缺陷和不足。然后结合2012年慢行交通事故统计数据和城市慢行交通现状问卷调查数据两方面,分析慢行交通的问题和事故特点。在此基础上,提出慢行交通安全发展的途径和方法,以保障交通弱势群体的安全出行。 相似文献
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本文在阐述慢行交通与公交优先以及缓解城市交通拥堵相互关系的基础上,论述了慢行交通安全设施精细化设置的必要性,对安全岛、人行横道、自行车道等慢行交通设施的人性化设置展开探讨,并列举了实现交通宁静区的交通工程办法,以期对我国构建成熟的慢行交通系统起到抛砖引玉的作用。 相似文献
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《综合运输》2017,(9)
受城市中心区用地限制,近年来各大学因自身发展需要纷纷在城市郊区兴建校区。然而,现有城市郊区大学校园普遍存在空间尺度过大、人车冲突隐患严重、校园缺乏活力等问题。慢行是大学校园内最主要的出行方式,对慢行系统的改善规划设计成为提升校园活力的有效手段。通过分析厦门、上海、昆明和天津等城市的慢行交通系统规划,对比国内外高校的校园规划实例,研究校园慢行规划的特殊性。以同济大学嘉定校区为例,基于公共空间—公共生活调查方法对慢行交通现状进行调查分析,提出安全、便捷、舒适、活力的规划目标;将慢行交通设施与公共空间改造相结合,提出步行和自行车改善策略和方案,并对重点片区进行改善设计。 相似文献
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在庞杂的城市交通环境下,驾驶员为了寻求更快的速度,常常采用主动的换道行为。由于汽车使用量逐年增长,换道引起的交通事故经常发生。研究车辆变道行为,寻求有效措施减少交通事故的发生,对提高道路安全性具有积极的意义。本文以多车道系统中车辆变道行为为研究对象,以元胞自动机理论为基础,对比分析单向单车道、单向双车道换道行为,并运用MATLAB仿真软件进行分析,获得变道交通流的相关特性曲线。 相似文献
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为优化城市道路交通信号控制方法,本文结合交通信号控制系统建设发展现状,分析当前各大城市交通信号控制系统普遍存在的问题,立足于互联网环境下的浮动车数据,提出基于互联网平台大数据的交通信号控制辅助优化机制。研究发现可利用互联网路口拥堵报警数据及时有效发现问题路口,利用路段拥堵指数及路口交通流参数变化趋势辅助评估配时方案的优化效果,并通过成都市应用实例证明该机制适用于当前交通控制场景需求,可有效辅助交通信号优化工作,是传统交通模式向真正智能交通模式过渡的阶梯。 相似文献
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文章介绍了国内外单向交通的发展概况及实施条件,阐述了城市区域性单向交通设置的优势与劣势,并结合具体案例,分析了单向交通系统设置中的问题与对策,提出了实行单向交通的相关建议。 相似文献
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绿色交通系统对改善城市交通拥堵,减少交通能耗、环境污染,提高城市的宜居性等方面有着积极的推动作用。文章从城市规划和土地利用开发、交通需求管理、交通基础设施建设等方面阐述了城市绿色交通的建设与发展策略,为发展、建设城市绿色交通提供思路。 相似文献
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The urban parking and the urban traffic systems are essential components of the overall urban transportation structure. The short-term interactions between these two systems can be highly significant and influential to their individual performance. The urban parking system, for example, can affect the searching-for-parking traffic, influencing not only overall travel speeds in the network (traffic performance), but also total driven distance (environmental conditions). In turn, the traffic performance can also affect the time drivers spend searching for parking, and ultimately, parking usage. In this study, we propose a methodology to model macroscopically such interactions and evaluate their effects on urban congestion.The model is built on a matrix describing how, over time, vehicles in an urban area transition from one parking-related state to another. With this model it is possible to estimate, based on the traffic and parking demand as well as the parking supply, the amount of vehicles searching for parking, the amount of vehicles driving on the network but not searching for parking, and the amount of vehicles parked at any given time. More importantly, it is also possible to estimate the total (or average) time spent and distance driven within each of these states. Based on that, the model can be used to design and evaluate different parking policies, to improve (or optimize) the performance of both systems.A simple numerical example is provided to show possible applications of this type. Parking policies such as increasing parking supply or shortening the maximum parking duration allowed (i.e., time controls) are tested, and their effects on traffic are estimated. The preliminary results show that time control policies can alleviate the parking-caused traffic issues without the need for providing additional parking facilities. Results also show that parking policies that intend to reduce traffic delay may, at the same time, increase the driven distance and cause negative externalities. Hence, caution must be exercised and multiple traffic metrics should be evaluated before selecting these policies.Overall, this paper shows how the system dynamics of urban traffic, based on its parking-related-states, can be used to efficiently evaluate the urban traffic and parking systems macroscopically. The proposed model can be used to estimate both, how parking availability can affect traffic performance (e.g., average time searching for parking, number of cars searching for parking); and how different traffic conditions (e.g., travel speed, density in the system) can affect drivers ability to find parking. Moreover, the proposed model can be used to study multiple strategies or scenarios for traffic operations and control, transportation planning, land use planning, or parking management and operations. 相似文献