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Commuting Trip Rate of the Private Cars Based on Differentiation of Household Income in Guangzhou

机译：基于广州家庭收入差异的私家车通勤率

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Commuting trip rate (CTR) of private cars is an important factor related to the traffic jam during peak hours. To relieve congestion, some transportation policies to cut down CTR are proposed. In order to study the effectiveness of the policies in Guangzhou, a series of logistic models are built up and quantitative analyses on changes of household CTR of private cars with different income are given. Results show that when the destination parking fees rise by 30%, CTR of private cars decreases by 14.46%; when fuel costs rise by 30%, it decreases by 36.89%. However, when the waiting time of buses decreases by 30%, CTR only decreases by 10.42%. Thus, a single strategy, e.g. only improving the bus service, is not effective enough to attract private car commuters to the public transit system. The conclusions help policy makers to understand the traffic demand of private cars with different household income.
机译：私家车的通勤出行率（CTR）是与高峰时段交通拥堵相关的重要因素。为了缓解拥堵，提出了一些减少点击率的运输政策。为了研究广州市政策的有效性，建立了一系列的逻辑模型，并对不同收入的私家车的家庭点击率的变化进行了定量分析。结果表明，当目的地停车费上涨30％时，私家车的点击率下降14.44％;私家车的点击率下降14.46％。当燃料成本上升30％时，下降了36.89％。但是，当公交车的等待时间减少30％时，点击率仅减少10.42％。因此，单一策略例如仅改善公共汽车服务，不足以吸引私家车通勤者进入公共交通系统。结论有助于决策者了解家庭收入不同的私家车的交通需求。

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