Uncovering patterns, insights, and trends in student commuting behavior across Pune city through comprehensive EDA.
Students in Pune face significant challenges in daily commuting. This analysis quantifies these challenges and identifies actionable patterns.
Students face long travel times, high costs, and unreliable transport. We aim to quantify these challenges and identify improvement opportunities.
Actionable insights for city planners, institutions, and transport authorities to improve student commute infrastructure.
Collected via Google Forms from students across various locations in Pune, capturing real-world commute experiences.
Kothrud, Wakad, Baner, Pashan, Shivajinagar, SIT Lavale Campus, Other
Hinjewadi, Kharadi, Viman Nagar, Swargate, Pune Station, Other
Metro, PMPML Bus, Cab, Two-Wheeler, Auto, Carpool
Morning Peak, Midday, Evening Peak, Night
20-119 minutes | ₹10-₹445 one-way
Hinjewadi Traffic, Chandni Chowk, University Circle, Yerawada Junction, Bus/Metro Wait
| Starting Point | Destination | Primary Mode | Time of Day | Travel Time | Cost | Satisfaction |
|---|
Interactive charts revealing patterns in student commute data.
Distribution of students by their primary transport choice
How commute duration and expenses vary across students
Major bottlenecks and overall commute satisfaction
Comparing travel time and cost across transport types
Relationship between Travel Time, Cost, and Satisfaction
How transport choices vary across time slots
Understanding variance and outliers in commute data
Student distribution and transport preferences by area
Exploring relationships between time, cost, and satisfaction
Critical findings and actionable insights from our analysis.
Lowest average cost (₹24) and fastest travel times (~41 min), making it the best value for money.
Most reported bottleneck (17% of delays), followed by University Circle and Bus/Metro wait times.
Cabs cost 10x more than Metro but save only ~5 minutes average - poor cost efficiency.
35% of commutes happen during morning peak (8-11 AM), the key optimization target.
No strong correlation with cost or time - subjective factors like comfort matter significantly.
Highest commuter representation (15.7%), indicating significant outbound student population.
EnTC A3 Group 1 | B.Tech Semester 2
PRN: 25070123158
Data Analysis, Visualization & Web Development
PRN: 25070123049
Research, Data Collection & Presentation
Under the guidance of EDA Faculty: Mrs. Snehal Bhosale Ma'am
Symbiosis Institute of Technology, Pune