交通需求管理政策与快速公交对居民出行行为影响研究

发布时间：2018-04-23 10:52

本文选题：交通需求管理 + 公交优先政策　；参考：《兰州交通大学》2017年硕士论文

【摘要】：首先介绍了出行行为(RP)与出行意向(SP)两种居民出行行为调查方法,对比了各自的优缺点以及经常使用的调查措施。为考察老挝交通状况变化的未来趋势,分析了引入快速公交(BRT)和交通需求管理(TDM)政策后居民出行模式选择和出发时间选择行为特征。以万象CBD区域为例,设计了居民出行行为调查方案。调查的内容主要包括三个部分:第一部分是收集社会人口统计特征(RP),第二部分询问当前每日出行行为和对城市交通政策(RP)的态度,第三部分包含关于不同交通政策(SP)下未来出行行为的问题。为了改进城市交通政策,理解不同假设下的出行行为,如在万象引入硬性和软性政策,以及确定影响这种行为的关键因素,本文考察了交错工作时间的可能影响,通过调整乘客离开家的出发时间,并鼓励汽车用户转向新的公共交通服务---BRT。在万象CBD区域,通过随机采集调查数据进行模型评估。考虑到社会经济状况的未来变化趋势(例如,收入增长等因素),用出行意向(SP)的方法分析了居民出行方式选择和出发时间选择行为,最后基于嵌套Logit模型(NL)进行了估计。通过硬联合政策(BRT)和软错开工作时间(SWH),结合社会经济变化下减少道路拥堵的措施表明:如果收入水平保持不变,约50%的人会选择BRT。但是,如果收入翻倍(这可能在不远的将来发生),很多人不会选择BRT而是选择汽车。此外,对于BRT的服务水平,如出行时间和服务水平等是促进BRT在万象范围内使用(硬指标)的关键。此外,工作时间的变化将显着改变人们的出发时间。因此,BRT和SWH的联合政策将有效减少汽车和摩托车的比例。
[Abstract]:This paper first introduces two kinds of resident travel behavior survey methods: travel behavior (RP) and travel intention (SPV), and compares their advantages and disadvantages as well as the frequently used survey measures. In order to investigate the future trend of the change of traffic situation in Laos, the behavior characteristics of residents' travel mode selection and departure time selection after the introduction of BRT (bus Rapid Transit) and TDM (Traffic demand Management) policy are analyzed. Taking Vientiane CBD area as an example, the investigation scheme of residents' travel behavior is designed. The content of the survey mainly includes three parts: the first part is to collect the demographic characteristics of the society, the second part asks about the current daily travel behavior and attitude towards the urban transport policy. The third part deals with the future travel behavior under different transport policies. In order to improve urban transport policy, understand travel behavior under different assumptions, such as introducing hard and soft policies in Vientiane, and determine the key factors affecting this behavior, this paper examines the possible effects of staggered working hours. By adjusting departure times and encouraging car users to switch to the new public transport service--BRT. In Vientiane CBD region, the model was evaluated by random data collection. Taking into account the future trends of social and economic conditions (such as income growth and other factors), the behavior of travel mode selection and departure time selection is analyzed by means of travel intention SPL. Finally, the estimation is made based on nested Logit model. Through hard joint policies (BRTs) and soft staggered working hours, measures to reduce road congestion in the face of socio-economic changes show that if income levels remain the same, about 50 percent of people will opt for BRTs. But if incomes double (which could happen in the near future), many people will opt for cars instead of BRT. In addition, the service level of BRT, such as travel time and service level, is the key to promote the use of BRT in Vientiane. In addition, changes in working hours will significantly change people's departure times. Therefore, the joint policy of BRT and SWH will effectively reduce the proportion of cars and motorcycles.
【学位授予单位】：兰州交通大学
【学位级别】：硕士
【学位授予年份】：2017
【分类号】：U491

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