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Revealing non-work travel patterns under the influence of multiple actors: An integrated geospatial agent-based approach
16 references·0 citing·48 second hop
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References

  • 1995Local Indicators of Spatial Association—LISA13,061 cited
  • 2010Travel and the Built Environment5,396 cited
  • 1997Travel demand and the 3Ds: Density, diversity, and design4,588 cited
  • 2016A new metric of absolute percentage error for intermittent demand forecasts1,150 cited
  • 2001Statistical Methods for Geography892 cited
  • 2018Open-ended interview questions and saturation561 cited
  • 1999Handbook of Transportation Science560 cited
  • 2001The influence of land use on travel behavior: specification and estimation strategies466 cited
  • 2016Does Compact Development Make People Drive Less?406 cited
  • 2013The Big Book of Simulation Modeling: Multimethod Modeling with Anylogic 6313 cited
  • 2019Statistical Methods for Geography: A Student’s Guide257 cited
  • 2013Decision making on business issues with foresight perspective; an application of new hybrid MCDM model in shopping mall locating243 cited
  • 2017A Generative Model of Urban Activities from Cellular Data185 cited
  • 1988Urban transportation planning in the United States: An historical overview158 cited
  • 2012Activity planning processes in the Agent-based Dynamic Activity Planning and Travel Scheduling (ADAPTS) model

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132 cited
  • 2023Agent-based models in urban transportation: review, challenges, and opportunities125 cited
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