Ve11 mobility presentation_part2

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  • 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
  • Development of a Fully Functional Computer Model for all of VeniceGraduate from archaic, sporadic, expensive data collectionUse software counting to improve data collectionOne time costPerpetual collectionCouple current networks with new cameras set at key locationsDevelop mobile appImprove quality of life for Venetians & TouristsProvide data for computer modelImplement Turnstiles with iMob30% - 100%Guarantee profitsWorks in every other major city in the world
  • Ve11 mobility presentation_part2

    1. 1. COMPILE DATA COLLECT DATAINPUT INTO COMPUTER MODEL
    2. 2. COMPILED DATA
    3. 3. COMPILED DATA
    4. 4. Sant’AngeloSan Samuele Santa Maria del Giglio
    5. 5. Sant’AngeloSan Samuele Santa Maria del Giglio
    6. 6. Sant’Angelo
    7. 7. Sant’Angelo
    8. 8. 550 Hourly Passengers: SantAngelo Sant’Angelo500450400 396 394.5 379.5 367350 314300250200150100 50 0 7:00-9:00 9:00-11:00 11:00-13:00 13:00-17:00 17:00-19:00 Hourly Entering Hourly Exiting Hourly Passengers
    9. 9. San Samuele
    10. 10. San Samuele
    11. 11. 550 Hourly Passengers: San Samuele San Samuele500450400350300250200150100 50 0 7:00-9:00 9:00-11:00 11:00-13:00 13:00-17:00 17:00-19:00 Hourly Entering Hourly Exiting Hourly Passengers
    12. 12. Santa Maria del Giglio
    13. 13. Santa Maria del Giglio
    14. 14. Hourly Passengers: S. Maria del Giglio550 Giglio500450400350300250200150100 50 0 7:00-9:00 9:00-11:00 11:00-13:00 13:00-17:00 17:00-19:00 Hourly Entering Hourly Exiting Hourly Passengers
    15. 15. Sant’AngeloSan Samuele Santa Maria del Giglio
    16. 16. 5000 4500 Study Area Average Daily Ridership 4330 2009 4000 3500 3000Number of Passengers 2500 Entering Full Day 2243 2087 2116 Exiting Full Day 2000 Totals Full Day 1500 1153 1131 963 1000 608 523 500 0 SantAngelo Santa Maria del Giglio San Samuele
    17. 17. COLLECTED DATA
    18. 18. Sant’Angelo Riva del Carbon - - San Toma Fondamente del Vin Campo del Traghetto -San Samuele Calle Lanza -Ca’ Rezzonico
    19. 19. Sant’Angelo Riva del Carbon - - San Toma Fondamente del Vin Campo del Traghetto -San Samuele Calle Lanza -Ca’ Rezzonico
    20. 20. Riva del Carbon -Fondamente del Vin
    21. 21. Riva del Carbon -Fondamente del Vin
    22. 22. 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
    23. 23. 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
    24. 24. Riva del Carbon Total Carbon Departing 170Hours of 34%Operation:8:00-13:00 ArrivingClosed on 335Sunday 66%Number of Crossings: 96Average Number on Boat: 5.26
    25. 25. Sant’Angelo - San Toma
    26. 26. Sant’Angelo - San Toma
    27. 27. 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
    28. 28. 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
    29. 29. 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
    30. 30. San Samuele -Ca’ Rezzonico
    31. 31. San Samuele -Ca’ Rezzonico
    32. 32. 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
    33. 33. 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
    34. 34. 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
    35. 35. Campo del Traghetto - Calle Lanza
    36. 36. Campo del Traghetto - Calle Lanza
    37. 37. Calle Lanza No data because the stop was out of service. Non ci sono dati perché la stazione era fuori servizio.
    38. 38. Sant’Angelo Riva del Carbon - - San Toma Fondamente del Vin Campo del Traghetto -San Samuele Calle Lanza -Ca’ Rezzonico
    39. 39. 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
    40. 40. COLLECTED DATA PO NTI
    41. 41. PO NTI Ponte de la Cortesia Ponte San Moisè Ponte dell’Accademia
    42. 42. PO NTI Ponte de la Cortesia Ponte San Moisè Ponte dell’Accademia
    43. 43. PO NTI Ponte de la Cortesia
    44. 44. PO NTI Ponte de la Cortesia
    45. 45. 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
    46. 46. 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
    47. 47. 1000 Ponte de la Cortesia 900 Weekday Total Flowde la Cortesia 800 700 600 500 # of Pedestrians/15 minutes 400 300 200 100 0
    48. 48. # 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
    49. 49. PO NTI Ponte San Moisè
    50. 50. PO NTI Ponte San Moisè
    51. 51. 1000 Ponte San Moisè 900 Weekday Entering Study AreaSan Moisè 800 700 600 500# of Pedestrians/15 minutes 400 300 200 100 0
    52. 52. 1000 Ponte San Moisè 900 Weekday Exiting Study AreaSan Moisè 800 700 600 500# of Pedestrians/15 minutes 400 300 200 100 0
    53. 53. 1000 Ponte San Moisè 900 Weekday Total Flow San Moisè 800 700 600 500# of Pedestrians/15 minutes 400 300 200 100 0
    54. 54. 1000 Ponte San Moisè 900 Total FlowSan Moisè 800 700 600 500# of Pedestrians/15 minutes 400 300 200 100 0
    55. 55. PO NTI Ponte dell’Accademia
    56. 56. PO NTI Ponte dell’Accademia
    57. 57. 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
    58. 58. 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
    59. 59. 1000 Ponte dellAccademia 900 Weekday Total Flowdell’Accademia 800 700 600 500# of Pedestrians/15 minutes 400 300 200 100 0
    60. 60. 1000 Ponte dellAccademia 900 Total Flowdell’Accademia 800 700 600 500# of Pedestrians/15 minutes 400 300 200 100 0
    61. 61. PO NTI Ponte de la Cortesia Ponte San Moisè Ponte dell’Accademia
    62. 62. 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
    63. 63. 3000 Total Flow Tourist to Venetian Ratios VenetiansStudy Area 2500 Tourists 2000 Number of Pedsetrians 1500 1000 500 0 Ponte de la Cortesia Ponte San Moisè Ponte dellAccademia
    64. 64. COMPILED & COLLECTED DATA PO NTI Available Data Ideal Additional Data
    65. 65. PASSENGER DATA
    66. 66. COMPILED & COLLECTED DATA PO NTI Available Data Ideal Additional Data
    67. 67. COMPILED & COLLECTED DATA PO NTI Available Data Ideal Additional Data
    68. 68. POTENTIAL SOURES OF VIDEO DATAHYDRASaFE
    69. 69. COMPILED & COLLECTED DATA PO NTI Available Data Ideal Additional Data
    70. 70. COMPILED & COLLECTE DATA PO NTIINPUT INTO COMPUTER MODEL
    71. 71. OTHER WAYS TOIMPROVE MOBILITY MOBILE APPLICATION
    72. 72. •DYNAMIC MAPS •GPS LOCATION OVERLAY •DIRECTIONS VIA BOAT & FOOTWALKING WALKING & MOSTLYONLY BOAT BOAT
    73. 73. •TIME TABLES•TRIP PLANNERS•DEPARTURE REMINDERS
    74. 74. •TICKET PURCHASING•SYNCS WITH TRIP PLANNER
    75. 75. Map Trip Planner Reminder Ticket
    76. 76. Thank You!Team MobilityChelsea FogartyGeordie FolinasSteven GrecoCassandra Stacyve11-mobi@wpi.edusites.google.com/site/ve11mobi

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