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Investigating the impacts of telecommuting on the spatial, temporal, and modal distribution of travel using an agent-based transport simulation model
16 references·0 citing·49 second hop
Investigating the impacts of telecommuting on the spatial, temporal, and modal distribution of travel using an agent-based transport simulation model (2024)Investigating the impacts of telecommutin…Spatio-temporal variations of traffic congestion under work from home (WFH) arrangements: Lessons learned from COVID-19 (2022)Spatio-temporal variations of…Telecommuting and other trips: an English case study (2020)Telecommuting and other trips…Modelling the effects of COVID-19 on travel mode choice behaviour in India (2020)Modelling the effects of COVI…Insights into the impact of COVID-19 on household travel and activities in Australia – The early days of easing restrictions (2020)Insights into the impact of C…A validated multi-agent simulation test bed to evaluate congestion pricing policies on population segments by time-of-day in New York City (2020)A validated multi-agent simul…Analysis of telecommuting behavior and impacts on travel demand and the environment (2018)Analysis of telecommuting beh…The Multi-Agent Transport Simulation MATSim (2016)The Multi-Agent Transport Sim…Integrating CEMDAP and MATSIM to Increase the Transferability of Transport Demand Models (2015)Integrating CEMDAP and MATSIM…How Effective Is Telecommuting? Assessing the Status of Our Scientific Findings (2015)How Effective Is Telecommutin…Activity-based models of travel demand: promises, progress and prospects (2013)Activity-based models of trav…SACSIM: An applied activity-based model system with fine-level spatial and temporal resolution (2010)SACSIM: An applied activity-b…Integrating an Activity-Based Travel Demand Model with Dynamic Traffic Assignment and Emission Models (2010)Integrating an Activity-Based…Integration of Activity-Based Modeling and Dynamic Traffic Assignment (2008)Integration of Activity-Based…Validation of TASHA: A 24-h activity scheduling microsimulation model (2007)Validation of TASHA: A 24-h a…Florida Activity Mobility Simulator: Overview and Preliminary Validation Results (2005)Florida Activity Mobility Sim…Comprehensive Econometric Microsimulator for Daily Activity-Travel Patterns (2004)Comprehensive Econometric Mic…Activity‐based approaches to travel analysis: conceptual frameworks, models, and research problems (1992)A multiple discrete–continuous extreme value model: formulation and application to discretionary time-use decisions (2004)Generating complete all-day activity plans with genetic algorithms (2005)MATSim-T (2009)Derivation and analysis of some models for combining trip distribution and assignment (1976)Activity-based disaggregate travel demand model system with activity schedules (2001)Exploring the equity performance of bike-sharing systems with disaggregated data: A story of southern Tampa (2019)How to generate micro-agents? 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References

  • 2015How Effective Is Telecommuting? Assessing the Status of Our Scientific Findings1,782 cited
  • 2016The Multi-Agent Transport Simulation MATSim1,064 cited
  • 2004Comprehensive Econometric Microsimulator for Daily Activity-Travel Patterns400 cited
  • 2013Activity-based models of travel demand: promises, progress and prospects320 cited
  • 2020Insights into the impact of COVID-19 on household travel and activities in Australia – The early days of easing restrictions318 cited
  • 2020Modelling the effects of COVID-19 on travel mode choice behaviour in India204 cited
  • 2010SACSIM: An applied activity-based model system with fine-level spatial and temporal resolution181 cited
  • 2007Validation of TASHA: A 24-h activity scheduling microsimulation model174 cited
  • 2018Analysis of telecommuting behavior and impacts on travel demand and the environment166 cited
  • 2005Florida Activity Mobility Simulator: Overview and Preliminary Validation Results117 cited
  • 2008Integration of Activity-Based Modeling and Dynamic Traffic Assignment111 cited
  • 2010Integrating an Activity-Based Travel Demand Model with Dynamic Traffic Assignment and Emission Models91 cited
  • 2020Telecommuting and other trips: an English case study79 cited
  • 2020A validated multi-agent simulation test bed to evaluate congestion pricing policies on population segments by time-of-day in New York City

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76 cited
  • 2015Integrating CEMDAP and MATSIM to Increase the Transferability of Transport Demand Models75 cited
  • 2022Spatio-temporal variations of traffic congestion under work from home (WFH) arrangements: Lessons learned from COVID-1974 cited
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