Identifying-Commuter-Travel-Patterns-In-Bus-Services | Land Transport Authority , a statutory board

 by   bademiya21 Jupyter Notebook Version: Current License: No License

kandi X-RAY | Identifying-Commuter-Travel-Patterns-In-Bus-Services Summary

kandi X-RAY | Identifying-Commuter-Travel-Patterns-In-Bus-Services Summary

Identifying-Commuter-Travel-Patterns-In-Bus-Services is a Jupyter Notebook library. Identifying-Commuter-Travel-Patterns-In-Bus-Services has no bugs, it has no vulnerabilities and it has low support. You can download it from GitHub.

A project I did with Land Transport Authority, a statutory board, whose main role is to manage the transportation infra of Singapore which includes public transport like bus and trains. The agency was interested to understand how the bus services were being utilized by commuters during peak hours and if interventions could be introduced to further enhance commuter experience on bus services e.g. shorter waiting time, faster trips with skipping of bus stops etc. This required understanding archetypes of travel patterns by commuters in bus services. This project is an extension of what was previously done here:
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              Identifying-Commuter-Travel-Patterns-In-Bus-Services has a low active ecosystem.
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