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Determinants of paratransit feeder service provision using AI-synthesized revealed preference data: a paratransit drivers’ perspective on PT reform using machine learning
16 references·0 citing·52 second hop
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References

  • 2021Sample sizes for saturation in qualitative research: A systematic review of empirical tests6,266 cited
  • 2016How Many Focus Groups Are Enough? Building an Evidence Base for Nonprobability Sample Sizes1,749 cited
  • 2021A Review of Key Likert Scale Development Advances: 1995–2019780 cited
  • 2021Mobility Behaviour in View of the Impact of the COVID-19 Pandemic—Public Transport Users in Gdansk Case Study261 cited
  • 2017Travel Mode Detection Using GPS Data and Socioeconomic Attributes Based on a Random Forest Classifier114 cited
  • 2012Overview of public transport policy developments in South Africa112 cited
  • 200730th Australasian Transport Research Forum105 cited
  • 2020Rail-based Public Transport Service Quality and User Satisfaction – A Literature Review90 cited
  • 2021Service quality, satisfaction and behavioral intentions towards public transport from the point of view of private vehicle users87 cited
  • 2018Accessibility across transport modes and residential developments in Nairobi82 cited
  • 2022Predicting factors affecting the intention to use a 3PL during the COVID-19 pandemic: A machine learning ensemble approach56 cited
  • 2021Comparing paratransit in seven major African cities: An accessibility and network analysis55 cited
  • 2019Using the theory of planned behavior to predict the use of an upcoming public transportation service in Qatar53 cited

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2014
Public Transport Integration: The Case Study of Thessaloniki, Greece
50 cited
  • 2017Planning Latin American Cities47 cited
  • 2019From Mobility to Access for All: Expanding Urban Transportation Choices in the Global South45 cited
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