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An integrated mutual-information clustering and deep neural network framework for forecasting travel behaviour under flexible working arrangements
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An integrated mutual-information clustering and deep neural network framework for forecasting travel behaviour under flexible working arrangements (2026)An integrated mutual-information clusteri…Work flexibly, travel less? The impact of telework and flextime on mobility behavior in Switzerland (2022)Work flexibly, travel less? T…Working from home and its implications for strategic transport modelling based on the early days of the COVID-19 pandemic (2021)Working from home and its imp…Flexible work arrangements and employee health: A meta-analytic review (2021)Flexible work arrangements an…Latent Class Analysis: A Guide to Best Practice (2020)Latent Class Analysis: A Guid…Does working from home reduce CO2 emissions? An analysis of travel patterns as dictated by workplaces (2020)Does working from home reduce…Deep neural networks for choice analysis: Extracting complete economic information for interpretation (2020)Deep neural networks for choi…Correlation Coefficients: Appropriate Use and Interpretation (2018)Correlation Coefficients: App…Applying a random forest method approach to model travel mode choice behavior (2018)Applying a random forest meth…Analysis of telecommuting behavior and impacts on travel demand and the environment (2018)Analysis of telecommuting beh…How Effective Is Telecommuting? 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References

  • 2018Correlation Coefficients: Appropriate Use and Interpretation10,949 cited
  • 2020Latent Class Analysis: A Guide to Best Practice2,215 cited
  • 2015How Effective Is Telecommuting? Assessing the Status of Our Scientific Findings1,782 cited
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  • 2008Defining and conceptualizing workplace flexibility507 cited
  • 2018Applying a random forest method approach to model travel mode choice behavior491 cited
  • 2021Flexible work arrangements and employee health: A meta-analytic review279 cited
  • 1991Impact of telecommuting on spatial and temporal patterns of household travel270 cited
  • 2018Analysis of telecommuting behavior and impacts on travel demand and the environment166 cited
  • 2020Does working from home reduce CO2 emissions? An analysis of travel patterns as dictated by workplaces158 cited
  • 1995The Travel and Emissions Impacts of Telecommuting for the State of California Telecommuting Pilot Project156 cited
  • 2014The impact of telecommuting on personal vehicle usage and environmental sustainability127 cited
  • 2021Working from home and its implications for strategic transport modelling based on the early days of the COVID-19 pandemic

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119 cited
  • 2020Deep neural networks for choice analysis: Extracting complete economic information for interpretation117 cited
  • 2022Work flexibly, travel less? The impact of telework and flextime on mobility behavior in Switzerland113 cited
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