Recomendados
Recomendados
Más contenido relacionado
Similar a Ve11 Mobility Presentation_part1
Similar a Ve11 Mobility Presentation_part1 (20)
Más de venice2point0
Más de venice2point0 (20)
Último
Último (20)
Ve11 Mobility Presentation_part1
- 1. Traversing the Labyrinth: A Comprehensive Analysis of Pedestrian Traffic in Venice Chelsea Fogarty Steven Greco Chemical Engineering ‘13 Biomedical Engineering ‘13 Geordie Folinas Cassandra Stacy Mechanical Engineering ‘13 Environmental Engineering ‘13
- 2. Sponsored by: In collaboration with: • City of Venice • Cody Smith, Santa Fe Complex • Department of Mobility and • RedFish Group Transportation Advisors: Professor Fabio Carrera, Ph.D. Professor Frederick Bianchi, D.A.
- 3. Mobility Infrastructure • Walkways averaging 2 meters wide • 294 squares • 433 bridges • Limited infrastructure – Hold capacity of 25,000 visitors per day – 157.85 km of walkways
- 4. A greater influx of tourists is beginning to affect pedestrian mobility.
- 5. Tourism in Venice Throughout the Years In 2010: ● 20,000,000 annual tourists ● 55,000 daily tourists Determined from information received from the City of Venice Statistics Office.
- 6. Projected Tourism Trends 40,000,000 35,000,000 30,000,000 Number of Tourists 25,000,000 Overnight Tourists 20,000,000 Day Trips Total Tourists 15,000,000 Expon. (Total Tourists) 10,000,000 5,000,000 0 1940 1960 1980 2000 2020 2040 2060
- 7. Effects on Venice • Degrades Quality of Life • Strains Infrastructure • Safety & Security Compromised
- 8. Festivals and Holidays • Carnevale • Redentore • Biennale • Salute
- 9. Outliers Become Everyday Occurrences Population levels during the summer months and holidays could become the norm for everyday life in Venice…
- 10. Managing Pedestrian Traffic One way bridges Deploying police Temporary bridges Barriers Separate queues Seasonal Actv lines Close Piazzale Roma to incoming cars
- 11. Managing Pedestrian Traffic • Will need to be used more frequently • As peaks become the norm so too will preventive measures • Need a way to determine when and where peaks will form
- 12. Solution: Pedestrian Model • Traffic Predictions • Allow for Preventive Measures • Interactive Traffic Model centered about Study Area
- 13. Study Area • Based on Tourist Triangle • Western San Marco
- 14. The Modeled Pedestrians • Analyze the difference between pedestrian types and behaviors VENETIANS TOURISTS
- 15. Tourist Destinations Santo Stefano CHURCHES Santa Maria del Giglio
- 16. Museo Grassi Tourist Destinations Museo Fortuny MUSEUMS Museo Correr
- 17. Tourist Destinations PALACES Doge’s Palace
- 18. Tourist Types Day Tourists Origins
- 19. Tourist Types Day Tourists End of Day
- 21. Tourist Types Overnight Tourists Origins
- 22. Tourist Types Overnight Tourists End of Day
- 24. Venetian Destinations Number of Employees in San Marco 14,146 WORK SCHOOL
- 25. Venetian Origins and End Destination 4462 Residents in San Marco
- 26. Venetian Route
- 27. VARIOUS SOURCES HAVE DATA LONG TERM PROJECT SCHEMATIC COMPILING AND COLLECTING DATA RELATED TO PEDESTRIAN TRAFFIC
- 29. USING THE COMPUTER MODEL FILLING IN CURRENT PREDICTING FUTURE DATA GAPS TRAFFIC
- 30. OUR FOCUS
Notas del editor
- Cassandra
- CS
- 2,194 walkways averaging 2 meters wide
- Daily Tourists 2010: 54,87775% increase by 2040: ~35,000,000
- Strains transportation and wears out physical infrastructureOnly 2 million Venetians throughout history, and 24 million tourists a year – huge wear on the physical infrastructure, all of those people walking over the same bridges/roads every day
- Traffic makes normal travel impossible - Safety Concerns. Outliers now becoming the norm.Can’t plan for – Reactionary instead of proactiveSays to like show a graph that the summers a peak time because like at that time I’m explaingwhats becoming a norm cuz I want to talk about the tourist forcastAdd graph so that I remember to add it later comprendecuz I will forget
- Put pictures of police, One Way Bridges, temporary bridges, etc.
- A model would provide users with accurate pedestrian traffic predictionsWould allow for preventative measuresUses limited data to provide a comprehensive picture of future trafficApplying what has been done with automobiles to pedestrians
- RECAP
- Model will Predict Traffic and fill in data gapsThis information can provide information proactively for dispatching local authorities, creating pedestrian barriers and one ways, and if available to the general populous could allow individuals to reroute themselves to help alleviate traffic congestion