Developing Static and Dynamic Multimodal Transportation System Models to Estimate Individual Commuter Footprints Using ArcGIS, Google Maps, and Here 360

摘要

While the transportation sector is currently experiencing many challenges such as traffic congestion and negative emissions, only a few tools capable of quantifying business commute footprints exist. Accordingly, this research focuses on developing models to estimate footprints of individual commuters using real-world multimodal transportation systems. Two different multimodal transportation system modeling approaches were developed: static models using ESRI's ArcGIS 10.5, and dynamic models with the implementation of Google Maps and Here 360 APIs in R. Results of these models were further analyzed under different traffic conditions. The developed multimodal transportation system models included six mode choices and computed six travel measures. A real-world case study was developed for commuters in Fresno, CA. Conclusions of this research include valuable insights about merits and limitations of the static and dynamic modeling approaches and could prove valuable in transforming the existing approaches for estimating impacts of policies on alternative transportation incentives.