Smart Mobility - PT Vic Future

Team Name

Team TelStars

Team Members

Data Story

https://drive.google.com/drive/folders/13oA-uWXjME2KOc6083rd-cekpXEutNFC?usp=sharing
https://discover.data.vic.gov.au/dataset/victorian-integrated-survey-of-travel-and-activity

https://discover.data.vic.gov.au/dataset/monthly-average-patronage-by-day-type-and-by-mode
The webpage provides data on the monthly average patronage for various public transport modes in Victoria, including metropolitan and regional trains, buses, and trams. The data is categorized by different day types (normal weekdays, school holiday weekdays, and weekends) and specific days of the week (Monday through Sunday). It excludes public holidays and counts the number of patrons boarding services, excluding train transfers, drivers, and station staff.

https://discover.data.vic.gov.au/dataset/bicycle-volume-and-speed
The page on the Victorian Government Data Directory provides information about the Bicycle Volume and Speed dataset. This dataset includes cycling flow data recorded at 42 off-road counter sites and 4 on-road counter sites across Victoria1. The data captures bicycle volumes and speeds in both directions, offering insights into cycling patterns and trends.

https://discover.data.vic.gov.au/dataset/principal-bicycle-network-pbn

https://discover.data.vic.gov.au/dataset/annual-regional-train-patronage-station-entries

The Road to Smart Mobility: A Victorian Data Story based on the Data Sets
1. The Current Landscape:
- VISTA: Victorians are heavily reliant on private vehicles. Peak hour congestion and long commutes are common, affecting quality of life and productivity.
- Vehicle Registration Data: The number of registered vehicles continues to rise, particularly in outer suburbs, adding pressure to existing road infrastructure.
- Public Transport Patronage: While public transport usage is significant, it's concentrated in the metropolitan areas. Regional services face challenges in frequency and accessibility.
- Bicycle Data: Cycling infrastructure exists but usage remains relatively low, suggesting untapped potential for active transport.
2. Emerging Trends:
- EV Charger Data: The growing network of public EV chargers indicates increasing adoption of electric vehicles, but their distribution highlights potential gaps in regional coverage.
- GTFS Data: Real-time public transport information empowers commuters to make informed choices, but the challenge lies in integrating various modes and providers seamlessly.
3. The Path to Smart Mobility:
- Optimizing Existing Infrastructure: Analyzing travel patterns from VISTA alongside traffic and public transport data can pinpoint congestion hotspots and inform targeted infrastructure improvements.
- Promoting Sustainable Modes: Combining bicycle data with PBN information can reveal opportunities to expand cycling networks and encourage active transport, particularly for shorter trips.
- Supporting the EV Transition: Analyzing EV charger locations against vehicle registration data can help identify areas needing additional charging infrastructure, promoting EV adoption and reducing emissions.
- Enhancing Public Transport: Integrating GTFS data with patronage statistics can optimize service frequency and routes, particularly in regional areas, making public transport a more attractive option.

Conclusion:
The Victorian Government's open data provides a powerful lens into the state's mobility challenges and opportunities. By harnessing these insights, we can move towards a future where smart infrastructure and sustainable transport options are seamlessly integrated. This data-driven approach can help create a more efficient, accessible, and environmentally friendly transport system, improving the quality of life for all Victorians.