Mobility_B11_Presentation_EN

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  • 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
  • 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
  • RECAP
  • 15:00-18:00 total (holiday and non-holiday) weekday average into study area
  • 15:00-18:00 total (holiday and non-holiday) weekday average out of study area
  • Mobility_B11_Presentation_EN

    1. 1. Traversing the Labyrinth: A Comprehensive Analysis of Pedestrian Traffic in VeniceChelsea Fogarty Steven GrecoChemical Engineering ‘13 Biomedical Engineering ‘13Geordie Folinas Cassandra StacyMechanical Engineering ‘13 Environmental Engineering ‘13
    2. 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. 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. 4. A greater influx of tourists isbeginning to affectpedestrian mobility.
    5. 5. Tourism in Venice Throughout the YearsIn 2010:● 20,000,000 annual tourists● 55,000 daily touristsDetermined from information received from the City of Venice Statistics Office.
    6. 6. Projected Tourism Trends 40,000,000 35,000,000 30,000,000Number 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. 7. Effects on Venice• Degrades Quality of Life• Strains Infrastructure• Safety & Security Compromised
    8. 8. Festivals and Holidays• Carnevale• Redentore• Biennale• Salute
    9. 9. Outliers Become Everyday OccurrencesPopulation levels during thesummer months andholidays could become thenorm for everyday life inVenice…
    10. 10. Managing Pedestrian Traffic• Used on Holidays  One way bridges• Largely Reactive  Deploying police  Temporary bridges  Barriers  Separate queues  Seasonal Actv lines  Close Piazzale Roma to incoming cars
    11. 11. Managing Pedestrian Traffic• Will need to be usedmore frequently• As peaks becomethe norm so too willpreventive measures• Need a way todetermine when andwhere peaks will form
    12. 12. Solution: Pedestrian Model• Traffic Predictions• Allow for Preventive Measures• Interactive Traffic Model centered about Study Area
    13. 13. Study Area• Based on Tourist Triangle• Western San Marco
    14. 14. The Modeled Pedestrians• Analyze the difference between pedestrian types and behaviors VENETIANS TOURISTS
    15. 15. Tourist DestinationsCHURCHESPALACES MUSEUMS
    16. 16. Tourist TypesDay Tourists Origins
    17. 17. Tourist TypesDay TouristsEnd of Day
    18. 18. Day Tourist Route
    19. 19. Tourist TypesOvernight Tourists Origins
    20. 20. Tourist TypesOvernight Tourists End of Day
    21. 21. Overnight Tourist Route
    22. 22. Venetian Destinations Number of Employees in San MarcoWORK SCHOOL
    23. 23. Venetian Origins and End Destination4462 Residents in San Marco
    24. 24. Venetian Route
    25. 25. VARIOUS SOURCES HAVE DATALONG TERM PROJECT SCHEMATICRELATED TO PEDESTRIAN TRAFFIC COLLECTING & COMPILING
    26. 26. COLLECTING INPUT INTOCONVERTING COMPUTER & FORMAT COMPILING MODEL
    27. 27. USING THE COMPUTER MODEL INPUT INTO COMPUTER MODEL
    28. 28. USING THE COMPUTER MODEL FILLING IN CURRENT PREDICTING FUTURE DATA GAPS TRAFFIC
    29. 29. OURFOCUS
    30. 30. COLLECT & COMPILE RAW DATACONVERT TO READABLE FORMAT INPUT INTO COMPUTER MODEL
    31. 31. COLLECT & COMPILE RAW DATA
    32. 32. •Who?•How Many?•Where?
    33. 33. COLLECT & COMPILE RAW DATA
    34. 34. Sant’AngeloSan Samuele Santa Maria del Giglio
    35. 35. Sant’AngeloSan Samuele Santa Maria del Giglio
    36. 36. Sant’Angelo
    37. 37. Sant’Angelo
    38. 38. Average Hourly Passengers 550 Sant’Angelo 500 450Avg. Number of Passenger/Hour 400 396 394.5 379.5 367 350 314 300 250 200 150 100 50 0 7:00-9:00 9:00-11:00 11:00-13:00 13:00-17:00 17:00-19:00 Disembarking Hourly Boarding Hourly Total Usage per Hour
    39. 39. San Samuele
    40. 40. San Samuele
    41. 41. Average Hourly Passengers San Samuele 550 500 450 400Avg. Number of Passengers/Hour 350 300 250 200 150 125.5 116 106.5 100 101.5 50 0 7:00-9:00 9:00-11:00 11:00-13:00 13:00-17:00 17:00-19:00 Disembarking Hourly Boarding Hourly Total Usage per Hour
    42. 42. Santa Maria del Giglio
    43. 43. Santa Maria del Giglio
    44. 44. Average Hourly Passengers Giglio 550 500 450 400Avg. Number of Passengers/Hour 350 300 250 200 203 188.5 193 150 142 138.5 100 50 0 7:00-9:00 9:00-11:00 11:00-13:00 13:00-17:00 17:00-19:00 Disembarking Hourly Boarding Hourly Total Usage per Hour
    45. 45. Sant’AngeloSan Samuele Santa Maria del Giglio
    46. 46. 5000 Study Area Total Day Ridership Comparison 2009 4500 4330 4000 3500Number of Passengers 3000 2500 Full Day Disembarkment 2243 2087 2116 Full Day Boarding 2000 Totals Full Day 1500 1153 1131 963 1000 608 523 500 0 SantAngelo Santa Maria del Giglio San Samuele
    47. 47. COLLECT & COMPILE RAW DATA
    48. 48. Sant’Angelo Riva del Carbon - - San Toma Fondamente del Vin Campo del Traghetto -San Samuele Calle Lanza -Ca’ Rezzonico
    49. 49. Sant’Angelo Riva del Carbon - - San Toma Fondamente del Vin Campo del Traghetto -San Samuele Calle Lanza -Ca’ Rezzonico
    50. 50. Riva del Carbon -Fondamente del Vin
    51. 51. Riva del Carbon -Fondamente del Vin
    52. 52. Riva del Carbon Arrivals 20 Carbon 18 16 Number of Passengers/Boat 14 12Hours ofOperation: 108:00-13:00 8Closed onSunday 6 4 2Dates:7/11/2011 08/11/2011 8:00 8:43 9:26 10:09 10:52 11:34 12:17 13:00
    53. 53. Riva del Carbon Departures 20 Carbon 18 16 Number of Passengers/Boat 14 12Hours ofOperation: 108:00-13:00 8Closed onSunday 6 4 2Dates:7/11/2011 08/11/2011 8:00 8:43 9:26 10:09 10:52 11:34 12:17 13:00
    54. 54. Riva del Carbon Total Carbon Departing 170Hours of 34%Operation(Ore): Arriving8:00-13:00 335Closed on 66%SundayNumber of Crossings: 96Average Number on Boat: 5.26
    55. 55. Sant’Angelo - San Toma
    56. 56. Sant’Angelo - San Toma
    57. 57. SantAngelo Arrivals 20Sant’Angelo 18 16 Number of Passengers/Boat 14 12Hours of 10Operation:7:30-20:00 8Sunday:8:30-19:30 6 4Dates: 27/11/20118/11/2011 011/11/2011 7:30 8:12 8:54 9:36 10:17 10:59 11:41 12:23 13:04 13:46 14:28 15:10
    58. 58. SantAngelo Departures 20Sant’Angelo 18 16 Number of Passengers/Boat 14 12Hours of 10Operation:7:30-20:00 8Sunday:8:30-19:30 6 4Dates: 27/11/20118/11/2011 011/11/2011 7:30 8:12 8:54 9:36 10:17 10:59 11:41 12:23 13:04 13:46 14:28 15:10
    59. 59. SantAngelo TotalSant’Angelo Departing 488Hours ofOperation: 39%7:30-20:00Sunday: Arriving8:30-19:30 779 61%Number of Crossings: 157Average Number on Boat: 8.07
    60. 60. San Samuele -Ca’ Rezzonico
    61. 61. San Samuele -Ca’ Rezzonico
    62. 62. San Samuele Arrivals 20San Samuele 18 16 Number of Passengers/Boat 14 12Hours ofOperation: 108:30-13:30Closed on 8Sunday 6 4 2Dates:7/11/2011 08/11/2011 8:30 9:04 9:38 10:12 10:45 11:19 11:53 12:27 13:01 13:35
    63. 63. San Samuele Departures 20San Samuele 18 16 Number of Passengers /Boat 14 12Hours ofOperation: 108:30-13:30Closed on 8Sunday 6 4 2Dates:7/11/2011 08/11/2011 8:30 9:04 9:38 10:12 10:45 11:19 11:53 12:27 13:01 13:35
    64. 64. San Samuele TotalSan Samuele Departing 76Hours of 34%Operation:8:30-13:30Closed onSunday Arriving 147 66% Number of Crossings: 79 Average Number on Boat: 2.90
    65. 65. Campo del Traghetto - Calle Lanza
    66. 66. Campo del Traghetto - Calle Lanza
    67. 67. Calle Lanza No data because the stop was out of service. Non ci sono dati perché la stazione era fuori servizio.
    68. 68. Sant’Angelo Riva del Carbon - - San Toma Fondamente del Vin Campo del Traghetto -San Samuele Calle Lanza -Ca’ Rezzonico
    69. 69. 1400 Total Traghetti Passengers Per Day 1267 Study Area ComparisonStudy Area 1200 Number or Passengers 1000 800 779 Arrivals Arrivi Departures Partenze Totale per Day Total per giorno 600 505 488 400 335 223 200 170 147 76 0 Carbon SantAngelo San Samuele
    70. 70. COLLECT & COMPILE RAW DATA PO NTI
    71. 71. PO NTI Ponte de la Cortesia Ponte San Moisè Ponte dell’Accademia
    72. 72. PO NTI Ponte de la Cortesia Ponte San Moisè Ponte dell’Accademia
    73. 73. PO NTI Ponte de la Cortesia
    74. 74. PO NTI Ponte de la Cortesia
    75. 75. 1000 Ponte de la Cortesia 900 Weekday Entering Study Areade la Cortesia 800 700 600 500 # of Pedestrians/15 minutes 400 300 200 100 0
    76. 76. 1000 Ponte de la Cortesia 900 Weekday Exiting Study Areade la Cortesia 800 700 600 500 # of Pedestrians/15 minutes 400 300 200 100 0
    77. 77. 1000 Ponte de la Cortesia 900 Weekday Total Flowde la Cortesia 800 700 600 500 # of Pedestrians/15 minutes 400 300 200 100 0
    78. 78. # of Pedestrians/15 minutes 0 100 200 300 400 500 600 700 800 900 1000 8:00 de la Cortesia 8:15 8:30 8:45 9:00 9:15 9:30 9:4510:0010:1510:3010:4511:0011:1511:3011:4512:0012:1512:3012:45 Total Flow13:0013:15 Ponte de la Cortesia13:3013:4514:0014:1514:3014:4515:0015:1515:3015:4516:0016:1516:3016:45
    79. 79. PO NTI Ponte San Moisè
    80. 80. PO NTI Ponte San Moisè
    81. 81. 1000 Ponte San Moisè 900 Weekday Entering Study AreaSan Moisè 800 700 600 500# of Pedestrians/15 minutes 400 300 200 100 0
    82. 82. 1000 Ponte San Moisè 900 Weekday Exiting Study AreaSan Moisè 800 700 600 500# of Pedestrians/15 minutes 400 300 200 100 0
    83. 83. 1000 Ponte San Moisè 900 Weekday Total Flow San Moisè 800 700 600 500# of Pedestrians/15 minutes 400 300 200 100 0
    84. 84. 1000 Ponte San Moisè 900 Total FlowSan Moisè 800 700 600 500# of Pedestrians/15 minutes 400 300 200 100 0
    85. 85. PO NTI Ponte dell’Accademia
    86. 86. PO NTI Ponte dell’Accademia
    87. 87. 1000 Ponte dellAccademia Weekday 900 Entering Study Areadell’Accademia 800 700 600 500# of Pedestrians/15 minutes 400 300 200 100 0 15:30 15:45 16:00 16:15 16:30 16:45 17:00 17:15 17:30 17:45 18:00
    88. 88. 1000 Ponte dellAccademia Weekday 900 Exiting Study Areadell’Accademia 800 700 600 500# of Pedestrians/15 minutes 400 300 200 100 0 15:30 15:45 16:00 16:15 16:30 16:45 17:00 17:15 17:30 17:45 18:00
    89. 89. 1000 Ponte dellAccademia 900 Weekday Total Flowdell’Accademia 800 700 600 500# of Pedestrians/15 minutes 400 300 200 100 0
    90. 90. 1000 Ponte dellAccademia 900 Total Flowdell’Accademia 800 700 600 500# of Pedestrians/15 minutes 400 300 200 100 0
    91. 91. PO NTI Ponte de la Cortesia Ponte San Moisè Ponte dell’Accademia
    92. 92. 1000 Study Area Comparison Ponte de la Cortesia 900 Averaged Day Total Flow Ponte San Moisè Study Area 800 Ponte dellAccademia 700 600 500# of Pedestrians/15 minutes 400 300 200 100 0
    93. 93. Study Area Comparison Highest Number of Pedestrians Entering Study Area Exiting Study Area Total FlowStudy Area 905 547 468 433 358 298 232 198 201 14:30 12:00 12:00 14:30 14:30 14:30 16:00 17:00 17:15 Ponte de la Cortesia Ponte San Moisè Ponte dellAccademia
    94. 94. COLLECT & COMPILE RAW DATA PO NTI Available Data Ideal Additional Data
    95. 95. PASSANGER DATA
    96. 96. COLLECT & COMPILE RAW DATA PO NTI Available Data Ideal Additional Data
    97. 97. HYDRASaFE
    98. 98. COLLECT & COMPILE RAW DATA PO NTI Available Data Ideal Additional Data
    99. 99. COLLECT & COMPILE RAW DATA PO NTI Available Data Ideal Additional Data
    100. 100. COLLECT & COMPILE RAW DATA PO NTI Available Data Ideal Additional Data
    101. 101. PO NTI CONVERT TOCOLLECT & COMPILE RAW DATA READABLE FORMAT
    102. 102. COLLECT & COMPILE RAW DATA PO NTICONVERT TO READABLE FORMAT MODEL INPUT INTO COMPUTER
    103. 103. COLLECT & COMPILE RAW DATA PO NTICONVERT TO READABLE FORMAT INPUT INTO COMPUTER MODEL
    104. 104. OTHER WAYS TOIMPROVE MOBILITY MOBILE APPLICATION
    105. 105. •DYNAMIC MAPS •GPS LOCATION OVERLAY •DIRECTIONS VIA BOAT & FOOTWALKING WALKING & MOSTLYONLY BOAT BOAT
    106. 106. •TIME TABLES•TRIP PLANNERS•DEPARTURE REMINDERS
    107. 107. •TICKET PURCHASING•SYNCS WITH TRIP PLANNER
    108. 108. Map Trip Planner Reminder Ticket
    109. 109. Recommendations • Graduate from• Development of a archaic, sporadic, expensive data collection Fully Functional • Use software counting to improve data collection Computer Model • One time cost for all of Venice • Perpetual collection • Couple current networks with new cameras set at key locations • Develop mobile app • Improve quality of life for Venetians & Tourists • Provide data for computer model • Implement Turnstiles with iMob • 30% - 100% • Guarantee profits • Works in every other major city in the world
    110. 110. Thank You!Team MobilityChelsea FogartyGeordie FolinasSteven GrecoCassandra Stacyve11-mobi@wpi.edusites.google.com/site/ve11mobi
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