The city moves. So do its costs.

The question

• How does a longer commute change the shape of a weekday?
• Which travel patterns might deserve attention first?
• How can interactive data help us explore the trade-offs?

Important: This presentation uses illustrative example data to demonstrate an interactive Plotly presentation. Replace it with verified local data before drawing real-world conclusions.

One extra hour adds up

Move your cursor over a point to inspect a scenario. These are simple calculations for a five-day workweek.

Where does the time go?

Illustrative schedule only. Actual routines vary substantially by person and day.

Explore the trade-off

Try this: compare the five-day and six-day lines. How much time could a shorter commute return to a person each week?

From data to better questions

For a real city-level analysis, combine:

• Traffic speed or congestion data by road and time
• Air-quality readings such as PM2.5 and NO₂
• Weather and road-incident records
• A survey on commute time, sleep, stress, and daily routines

Then check coverage, align dates and locations, document missing data, and avoid treating correlation as proof of causation.

What this story can—and cannot—say

It can: show how an interactive chart helps compare commute-time scenarios.

It cannot: establish that traffic causes stress, poor sleep, or illness. That requires suitable observed data and a careful study design.

Next step: replace the illustrative values with validated data, cite every source, and clearly describe limitations.

Thank you