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A disaggregate study of urban rail transit feeder transfer penalties including weather effects

机译:对包括天气影响在内的城市轨道交通支线转移罚款的分类研究

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Transfers between urban rail transit (URT) and its feeder modes represent a considerable barrier to its ridership and the network-wide usage of public transit. The aim of this research is to quantify the time-independent transfer penalty between URT system and feeder modes and to explore its variability by different factors. Based on Melbourne URT origin and destination survey data, this study focused on URT access and egress journeys and estimated URT feeder transfer penalties by formulating feeder mode choice models. With three-hourly weather data and demographical data introduced, this paper conducted disaggregate analyses to investigate the variability of URT feeder transfer penalty across weather conditions, trip types and individual characteristics. According to the model estimation results, the values of transfer penalty vary according to the direction of transfer and the preference ordering for different transfer combinations is URT-tram, URT-bus, tram-URT, bus-URT and auto-URT. It found that local weather elements in terms of air temperature and precipitation are significant factors resulting in the variability of the transfer perception by URT travellers. Transfer penalties for access journeys increase with the rise of air temperature. The non-linear effects of precipitation on URT feeder transfer penalties were observed. In addition, commuters perceive smaller transfer penalties than other travellers for all of the transfer combinations except for bus-URT transfers. Travelers from remote areas perceive smaller transfer penalties for access trips. Travellers' loyalty to public transit restrains transfer penalties. The male travellers perceive higher transfer penalties than the female. The elderly travellers impose low transfer penalties to access journeys but high transfer penalties for egress journeys. Finally, the paper explored policy implications and details areas for future research.
机译:城市轨道交通(URT)及其支线交通方式之间的换乘严重阻碍了其乘客量和整个网络对公共交通的使用。这项研究的目的是量化URT系统和支线模式之间时间无关的转移惩罚,并探讨其受不同因素影响的可变性。基于墨尔本URT始发地和目的地的调查数据,本研究着重于URT的进出行程,并通过制定支线模式选择模型来估算URT支线转移的罚款。通过引入三个小时的天气数据和人口统计数据,本文进行了分类分析,以研究URT支线转运罚分在各种天气条件,行程类型和个人特征之间的可变性。根据模型估计结果,转移惩罚的值根据转移方向而变化,并且不同转移组合的优先顺序为URT-tram,URT-bus,tram-URT,bus-URT和auto-URT。研究发现,就气温和降水而言,当地天气因素是导致URT旅行者转移感知变化的重要因素。随着气温的升高,出行旅行的中转罚款也会增加。观察到降水对URT支线转移罚款的非线性影响。此外,通勤者对除公共汽车-URT换乘之外的所有换乘组合所感觉到的换乘罚款要比其他旅行者小。偏远地区的旅行者对出行旅行的转乘罚款较小。旅行者对公共交通的忠诚限制了转乘处罚。男性旅行者比女性感觉更高的转移罚款。老年旅客对出行旅程实行低额转乘罚款,但对出境旅程征收高额转乘罚款。最后,本文探讨了政策含义,并详细介绍了未来的研究领域。

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