预测新公共交通网络对交通方式转变的影响

Q3 Social Sciences
R. Ryall, Matthew Sullivan-Kilgour
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引用次数: 0

摘要

尽管许多研究已经确定了影响出行方式的关键因素,但它们通常都集中在调查数据上,这有一些局限性。在这项研究中,谷歌环境洞察探索者(EIE)提供了2018年和2019年澳大利亚169个城市的实际交通数据(GPS)。本文的一个关键成果是预测新的公共交通网络(铁路、公共汽车和有轨电车)对每个城市从车辆转向模式的独立影响,并估计总行驶距离。本研究使用线性回归和logit变换相结合的方法来预测汽车运输相对于所有其他运输方式的比例。结果表明,南澳大利亚州将受益于一条大都市东北铁路线,新南威尔士州将受益于一条大都市西南有轨电车线路,维多利亚州将受益于一条大都市东南公交车服务。虽然分析有些粗糙,但它利用了开放获取的数据,因此可以很容易地在全球任何国家复制,这可能是非常有益的,特别是对社会人口背景较低的国家。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Projecting the Impact of New Public Transport Networks on Mode Shift
Although many studies have identified the key factors influencing travel mode, they have typically centred around survey data, which has several limitations. In this research, actual transport data (GPS) has been provided by Google Environment Insights Explorer (EIE) for 169 municipalities in Australia across 2018 and 2019. A key outcome of this paper is to project the independent impact of new public transport networks (rail, bus and tram) on mode shift away from vehicles for each municipality and estimate the total distance travelled. This study uses a combination of linear regression and logit transformations to predict the proportion of automobile transport relative to all other transport modes. The results suggest that South Australia would benefit from a metropolitan northeast rail line, New South Wales would benefit from a metropolitan southwest tram line, and Victoria would benefit from a metropolitan southeast bus service. Although the analysis is somewhat crude, it utilises open-access data and thus could be easily replicated for any country globally, which could be greatly beneficial, especially for countries with low socio-demographic backgrounds.
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来源期刊
Open Transportation Journal
Open Transportation Journal Social Sciences-Transportation
CiteScore
2.10
自引率
0.00%
发文量
19
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