The intelligent use of space in mobility management

Transcription

1 The intelligent use of space in mobility management Ajuntament de Barcelona Direcció de Serveis de Mobilitat IMPACTS Shared Space Shared Mobility June 2012

2 IMPACTS June 2012 Shared Space Shared Mobility 1- City public space: limited resource Mobility master plan (PMU ) Smart networks: Public bike system (Bicing) New Bus network Diversity of use: Pedestrian zones. Bus lanes Multiuse lanes Technology solutions 2

3 DISTRIBUTION OF THE SPACE IN THE CITY PUBLIC THOROUGHFARE %09/08 STREET Km ,06 1,317, , , , ,01-0,9% TOTAL BCN AREA (Km 2 ) 101,00 101,00 101,00 101,00 101,00 101,00 0,0% ROAD TRAFFIC AREA (Km 2 ) 11,00 11,00 11,01 9,52 9,52 9,52 0,0% PEDESTRIAN AREA (Km 2 ) * 12,18 12,01 12,27 14,51 14,51 14,55 0,3% * Pavements (8,25 km 2 ), parks and gardens (5,59 km 2 ) and pedestrian streets (0,71 km 2 ) included. - 17% OF THE SURFACE OF THE CITY BELONGS TO STREETS AND SQUARES. - 65,4% OF THE SURFACE OF THE STREETS BELONGS TO THE PEDESTRIANS. PEDESTRIANS AND ROAD TRAFFIC SURFACES EVOLUTION 16,00 14,00 12,00 10,00 8,00 6,00 PAVEMENTS AND ROADWAYS AREA AND STREETS LENGHT ROADWAYS m 2 PAVEMENTS m 2 STREETS linear m STREETS number ,00 2,00 0, Superficie PEDESTRIAN destinada AREA al (km 2 ) vianant (Km2)* Superficie ROAD TRAFFIC destinada AREA al (km 2 ) vehicle (Km2)

4 VEHICLES FLEET S EVOLUTION %10/09 TOTAL ,0% ,0% ,0% ,0% ,0% CARS ,0% ,3% ,5% ,1% ,9% -0,3% MOTORCYCLES ,7% ,7% ,6% ,3% ,0% 3,2% MOPEDS ,5% ,5% ,4% ,3% ,0% -2,8% VANS ,3% ,3% ,9% ,7% ,4% -7,5% TRUCKS ,3% ,2% ,0% ,9% ,8% -5,3% OTHER VEHICLES ,1% ,2% ,5% ,8% ,0% 7,6% TYPOLOGY OF VEHICLES 2010 VEHICLES FLEET HASN T PRESENTED AN IMPORTANT VARIATION WITH REGARD TO THE NUMBER OF CARS, TRUCKS AND VANS HAS PRESENTED A STRONG DECREASE. THE FLEET OF MOTORCYCLES CONTINUES GROWING AT A GOOD PACE, ON THE OTHER HAND THE MOPEDS DECREASE. THE TOTAL OF MOTORCYCLES AND MOPEDS SUPPOSES 30% OF THE FLEET OF PRIVATE VEHICLES.

5 COMPARATIVE WITH OTHER CITIES AND METROPOLITAN AREAS CITIES/ METROPOLITAN AREAS YEAR INHABITANTS (thousands) CARS (thousands) AREA (km 2 ) CARS/1000 INH INH/CARS BARCELONA ,5 599,5 102,2 369,7 2,7 METROPOLITAN AREA , ,9 586,5 389,3 2,6 MADRID , ,7 607,1 422,2 2,4 VALÈNCIA ,4 376,3 136,8 461,5 2,2 AMSTERDAM ,3 215,6 219,1 288,5 3,5 BELGRAD ,0 473, ,7 269,9 3,7 BERLIN , ,2 890,2 316,1 3,2 BERNA ,3 50,5 51,6 387,7 2,6 BOLONYA ,2 196,9 140,9 522,0 1,9 BUDAPEST ,3 596,5 525,2 350,4 2,9 ESTOCOLM ,2 296,2 215,9 372,5 2,7 FIRENZE ,9 202,5 102,4 549,0 1,8 FRANKFURT ,5 300,4 248,3 463,3 2,2 GENOVA ,7 284,8 239,6 467,1 2,1 HAMBURG ,2 715,4 755,3 403,2 2,5 HÈLSINKI ,6 224,9 186,8 390,0 2,6 LONDRES , , ,0 343,0 2,9 LUXEMBURG ,6 60,0 51,5 677,3 1,5 MILÀ ,5 716,4 182,1 547,9 1,8 MÜNIC ,2 594,6 310,4 435,8 2,3 NÀPOLS ,9 554,4 117, ,7 OSLO ,5 212,1 454,1 378,5 2,6 PRAGA ,3 633,7 496,1 517,2 1,9 ROMA , , ,3 701,0 1,4 TORINO ,5 562,0 130,2 617,9 1,6 VIENA ,3 657,2 415,0 389,5 2,6 ZURIC ,1 130,7 91,9 358,0 2,8

6 COMPARATIVE WITH OTHER CITIES AND METROPOLITAN AREAS

7 NUMBER OF STAGES OF DAILY DISPLACEMENTS_ 2010 CHARACTERISTICS OF THE STUDY: RESULT OF THE INFORMATIONS ANALYSIS OF STAGES, TRAFFIC COUNT SENSORS, TOURIST ACTIVITY, SCHOOL TRANSPORT, TRAFFIC COMPOSITION COUNTS, BICICLES AND PEDESTRIAN COUNTS. THERE ARE NOT BORN IN MIND THE DISPLACEMENTS OF LESS THAN 5 MINUTES. TOTAL 2007 % 2008 % 2009 % 2010 % %10/09 PUBLIC TRANSPORT ,74% ,07% ,76% ,74% 0,86% PRIVATE TRANSPORT ,14% ,37% ,90% ,52% -0,46% ON FOOT AND BICYCLE ,12% ,56% ,34% ,74% 2,15% TOTAL % % % % 0,91% THE STAGES OF THE TRIPS IN PRIVATE VEHICLE AND PUBLIC TRANSPORT HAVE INCREASED 0,46 AND 0,86 RESPECTIVELY DURING THE WAY ON FOOT AND BICYCLE ARE THOSE WHO MORE HAVE INCREASED WITH 2,15%. MODAL DISTRIBUTION

8 MODAL DISTRIBUTION OF THE STAGES (WORKING DAYS) TOTAL INTERNAL % CONNECTION % TOTAL % MODAL %10/09 PUBLIC TRANSPORT ,20% ,33% ,74% 0,86% PRIVATE TRANSPORT ,35% ,41% ,52% -0,46% ON FOOT AND BICYCLE ,46% ,26% ,74% 2,15% TOTAL % % % 0,91% STAGES IN INTERNAL DISPLACEMENTS: (63,39%)STAGES IN CONNECTION DISPLACEMENTS: (36,61%) THE PREDOMINANT WAY OF TRANSPORT INSIDE THE CITY IS TO GO ON FOOT, WHEREAS IN THE CONNECTION DISPLACEMENTS IT IS THE PUBLIC TRANSPORT.

9 STAGES IN INTERNAL DISPLACEMENTS: EVOLUTION INTERNAL 2007 % 2008 % 2009 % 2010 % %10/09 PUBLIC TRANSPORT ,47% ,16% ,73% ,20% 0,77% PRIVATE TRANSPORT ,37% ,12% ,79% ,35% -0,08% ON FOOT AND BICYCLE ,16% ,72% ,48% ,45% 4,46% TOTAL % % % % 2,33% IT REMAINS STABLE + 0,77 % IT REMAINS STABLE - 0,08 % GROWTH + 4,46 %

10 STAGES MODAL DISTRIBUTION IN INTERNAL DISPLACEMENTS (WORKING DAYS) STAGES IN INTERNAL DISPLACEMENTS EVOLUTION STAGES %10/09 ON FOOT ,7% ,5% ,5% 4,5% BUS ,4% ,6% ,9% -3,3% SUBWAY ,8% ,4% ,8% 5,4% FGC ,9% ,9% ,9% 0,0% RENFE (SUBURBAN) ,4% ,4% ,4% -5,8% TRAM ,8% ,8% ,8% -0,4% DISCRETIONARY COACH ,8% ,7% ,7% -2,9% TAXI ,0% ,8% ,8% -0,5% CAR DRIVER ,5% ,2% ,0% -0,5% CAR ACCOMPANIED ,6% ,5% ,5% -0,5% MOTORCYCLES DRIVER ,8% ,9% ,8% 0,7% MOTORCYCLES ACCOMP ,3% ,4% ,3% 0,7% BICYCLE ,1% ,0% ,0% 3,5% VAN / TRUCK ,9% ,8% ,7% -0,3% TOTAL % % % 2,3%

11 WAY OF TRANSPORT IN INTERNAL DISPLACEMENTS STAGES (WORKING DAYS) INTERNAL DISPLACEMENTS STAGES NOT MOTORIZED MOTORIZED ON FOOT (95,8%) BICYCLE (4.2%) PUBLIC TRANSPORT PRIVATE TRANSPORT COLLECTIVE INDIVIDUAL VAN / TRUCK (14,8%) DISCRETIONARY SUBWAY (49,7%) REGULAR BUS (14,8%) TAXI (8,1%) MOTORCYCLE (33,5%) CAR (51,7%) FGC (6,3%) RENFE (1,2%) BUSTMB (40,1%) TRAM (2,7%)

12 TOTAL DATA OF THE SYSTEM OF PUBLIC COLLECTIVE TRANSPORT DEMAND INFORMATION VALIDATIONS ( TRIPS IN MILLIONS/YEAR ) %11/08 %11/10 BUS TMB 194,87 196,00 189,44 188,40-3,32% -0,55% SUBWAY 376,37 361,60 381,22 389,00 3,36% 2,04% FGC 81,05 79,80 79,76 80,50-0,68% 0,93% SUBURBAN RENFE 114,39 110,10 103,69 106,20-7,16% 2,42% OTHERS BUSES 144,60 142,60 144,40 147,20 1,80% 1,94% TRAM 23,17 23,90 23,81 24,20 4,45% 1,64% TOTAL 934,45 914,00 922,32 935,50 0,11% 1,43% DURING 2011 RMB PUBLIC TRANSPORT SYSTEM TRANSPORTED 935,50 MILLION PASSENGERS, 13,18 MILLIONS MORE THAN IN 2010.

13 IMPACTS June 2012 Shared Space Shared Mobility 2- Mobility master plan (PMU ) 13

14 IMPACTS June 2012 Shared Space Shared Mobility 2- Mobility master plan (PMU ) 14

15 IMPACTS June 2012 Shared Space Shared Mobility 2- Mobility master plan (PMU ) 15

16 URBAN TRAFFIC FLOWS HEAVY INCREASE

17 URBAN TRAFFIC FLOWS LOWER INCREASE

18 START SITUATION (2006) MOBILITY TENDENCY AND FUTURE PROGNOSIS BASE SCENARIO MODE OF TRANSPORT INTERNAL % INT/EXT % TOTAL % PRIVATE CAR ,1% ,2% ,8% PUBLIC TRANSPORT ,6% ,8% ,6% FOOT AND BICYCLE ,2% ,9% ,7% ON FOOT 1.9 % PUBLIC 29.6 % ON FOOT 47.2 % PUBLIC 45.8 % PRIVATE 52.2 % PRIVATE 23.1 % INTERNAL TRIPS: INT-EXT TRIPS:

19 FUTURE TENDENCY (2018) MOBILITY TENDENCY AND FUTURE PROGNOSIS MODE OF TRANSPORT INTERNAL % INT/EXT % TOTAL % PRIVATE CAR ,3% ,1% ,7% PUBLIC TRANSPORT ,0% ,7% ,0% FOOT AND BICYCLE ,6% ,1% ,2% PRIVATE CAR TRIPS MEAN 20,8 MILION OF veh-km/day, OF WHICH 24,5% WILL BE DONE WITHIN CONGESTION LEVELS HIGHER THAN 90% ( 13% IN 2004) IT S NOT SUSTAINABLE IN MOBILITY AND ENVIRONMENTAL FRAMEWORK!!!

20 MOBILITY TENDENCY AND FUTURE PROGNOSIS FINAL MOBILITY MODEL MODE OF TRANSPORT INTERNAL % INT/EXT % TOTAL % PRIVATE CAR ,0% ,0% ,0% PUBLIC TRANSPORT ,0% ,0% ,0% FOOT AND BICYCLE ,0% ,0% ,0% TOTAL ,0% ,0% ,0% THE veh x km/day WOULD BE 6% LESS THAN NOWADAYS. INTERNAL PUBLIC TRANSPORT TRIPS SHOULD INCREASE 30% ( )! INTERNAL-EXTERNAL PUBLIC TRANSPORT TRIPS SHOULD INCREASE 65% ( ) - Revision of the Infrastructure Director Masterplan (ATM) - Revision of the Outskirts Train Masterplan (Adif, RENFE, FGC)

21 ACTION PROPOSALS OUTSTANDING ACTIONS 1.- TO INCREASE THE PRIVATE VEHICLE OCCUPATION RATE - INTRODUCE BUS / VAO LANE ON THE CITY ACCESSES: B-23, C-58, C-32,... - FOUND REVERSE DISCRIMINATION MEASURES: LOWER TOLL ROADS, EXEMPTION IN FRONT OF POSSIBLE RESTRICTIONS (EPISODES OF ELEVATE CONTAMINANT CONCENTRATIONS,...) 2.- TO INCREASE THE PUBLIC TRANSPORT MARKET SHARE OF THE INTERN MOBILITY - PDI - PROPOSALS FOR THE PDI REVISION 3.- TO INCREASE THE PUBLIC TRANSPORT MARKET SHARE OF THE CONNECTION MOBILITY - PDI - PROPOSALS FOR THE PDI REVISION - OUTSKIRTS RAILWAY MASTERPLAN

22 IMPACTS June 2012 Shared Space Shared Mobility 3- Smart Networks: Public bike system (Bicing) 22

23 IMPACTS June 2012 Shared Space Shared Mobility 3- Smart Networks: Public bike system (Bicing) Main figures: 23

24 IMPACTS June 2012 Shared Space Shared Mobility 3- Smart Networks: Public bike system (Bicing) Problem: Redistribution in some old districts (narrow streets). Solution: Hub & Spoke scheme. Results: Increase of service offer, with same resources. Problem: Disequilibrium of system. Solution: Management of demand: I-BICING. Information and communication with users. Results: Users show great acceptation. Smart use of the bike share system. 24

25 THE BICYCLE DAILY DISPLACEMENTS BY BICICLE 2008 % 2009 % 2010 % 2011 % %11/10 BICYCLE ,39% ,33% ,37% ,51% 10,92% CYCLE PATH %11/08 %11/10 CYCLE PATH (Km) 140,2 146,8 159,0 181,5 29,5% 14,2% BICYCLE PARKING %11/08 %11/10 PARKINGS IN SURFACE Thoroughfare ,8% 1,3% UNDERGROUND PARKINGS BSM SABA ,1% 0,0%

26 THE BICYCLE THE 42,1% OF THE BICYCLES RIDES ALONG THE CYCLE PATHS.

27 IMPACTS June 2012 Shared Space Shared Mobility 4- Smart Networks: New Bus Network New urban model Legible Effective New Bus Network Eficient 27

28 IMPACTS June 2012 Shared Space Shared Mobility 4- Smart Networks: New Bus Network 28

29 IMPACTS June 2012 Shared Space Shared Mobility 4- Smart Networks: New Bus Network New Bus Network 29

30 IMPACTS June 2012 Shared Space Shared Mobility 4- Smart Networks: New Bus Network Main characteristics The bus network becomes more legible. New model of bus network New model of city. Measures for increasing commercial speed in main routes. Increasing of frequency. Maintain the number of vehicles. 95% of trips, with maximum 1 line transfer. Maintain proximity services (neighbourhood lines, etc.). 30

31 IMPACTS June 2012 Shared Space Shared Mobility 5- Diversity of use: Pedestrian zones Automatic bollards Controlled points: different uses during the day Pedestrian zones (commercial, tourism, old city, etc.). Distribution of merchandise. CONTROL POINTS / BOLLARDS %11/08 %11/10 CONTROLLED ZONES ,0% -4,5% CONTROL POINTS Incomes ,0% -1,4% Exits ,7% 0,0% 31

32 THE PEDESTRIANS DAILY DISPLACEMENTS ON FOOT 2008 % 2009 % 2010 % 2011 % %11/10 ON FOOT ,47% ,01% ,37% (*) 31,86% 1,92% * 93,8% are internal displacements. PEDESTRIANS ZONES Area (Ha) %11/08 %11/10 CIUTAT VELLA 21,67 22,38 23,31 23,44 8,2% 0,6% EIXAMPLE 6,28 6,28 6,28 6,47 3,0% 3,0% SANTS - MONTJUÏC 3,58 3,74 3,82 3,83 7,0% 0,3% LES CORTS 1,96 2,16 2,16 2,16 10,2% 0,0% SARRIÀ - ST GERVASI 3,27 3,72 3,72 3,78 15,6% 1,6% GRÀCIA 5,13 5,18 5,27 5,34 4,1% 1,3% HORTA - GUINARDÓ 2,76 3,12 3,19 3,99 44,6% 25,1% NOU BARRIS 6,19 6,55 6,55 6,75 9,0% 3,1% SANT ANDREU 7,97 7,98 8,07 8,07 1,3% 0,0% SANT MARTÍ 10,49 10,63 10,63 10,63 1,3% 0,0% TOTAL 69,30 71,74 73,00 74,46 7,4% 2,0%

33 PARKING LOTS FOR HANDICAPPED PERSONS IN ROADWAY %10/09 %10/07 CIUTAT VELLA ,1% 17,0% EIXAMPLE ,7% 29,8% SANTS - MONTJUÏC ,7% 34,2% LES CORTS ,6% 69,8% SARRIÀ - SANT GERVASI ,6% 54,5% GRÀCIA ,9% 17,7% HORTA - GUINARDÓ ,0% 23,6% NOU BARRIS ,3% 46,6% SANT ANDREU ,3% 32,4% SANT MARTÍ ,9% 24,0% TOTAL ,3% 32,4% PMR CARDS %10/09 %10/07 ISSUED CARDS ,3% 83,7% OUT OF ROADWAY BSM SABA THE NEW STOCK LIST HAS DETECTED PARKING LOTS IN ROADWAY FOR PMR, FOR A TOTAL OF ISSUED CARDS.

34 IMPACTS June 2012 Shared Space Shared Mobility 6- Diversity of use: Bus lanes Advantage for public transport Bus (urban and metropolitan) Taxi Shared with High-Occupancy Vehicle (VAO) 34

35 IMPACTS June 2012 Shared Space Shared Mobility 7- Diversity of use: Multiuse-bus lanes Streets with high traffic demand Commercial zones Merchandise distribution Limited space Bus lane 35

36 IMPACTS June 2012 Shared Space Shared Mobility 8- Technology solutions Electric vehicles: battery charge in public points Accessibility: adaptation of subway stations Elevators Trains 36

37 TRAFFIC MANAGEMENT MEDIUM DAILY INTENSITY OF VEHICLES %11/08 %11/10 ACCESSES ,7% -2,2% ROUTES SEA-MOUNTAIN ,8% -3,6% ROUTES BESOS-LLOBREGAT ,0% -0,3% TOTAL MAIN ROUTES ,9% -2,3% RONDA DE DALT ,6% -2,4% RONDA LITORAL ,0% -3,5% TOTAL RONDES ,9% -2,8% SPEED %11/08 %11/10 EXTERNAL CONNECTIVITY ROADS 22,9 22,9 25,8 24,8 24,0 4,8% -3,2% ROUTES SEA-MOUNTAIN 16,6 17,3 18,5 17,8 16,4-5,2% -7,9% ROUTES BESÒS-LLOBREGAT 23,6 24,2 26,9 23,8 22,5-7,0% -5,5% CITY SPEED AVERAGE 20,8 21,3 23,5 21,8 20,6-3,3% -5,5% RING ROADS 53,3 56,3 59,3 57,0 54,7-2,8% -4,0%

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