#mobilizefortaleza · 1.1 Walkways 2 C r o s s w a l k s 1.3 Visually Active Frontage 1.4...
Transcript of #mobilizefortaleza · 1.1 Walkways 2 C r o s s w a l k s 1.3 Visually Active Frontage 1.4...
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#mobilizefortalezaLuc NADAL, Ph.D., Arch D.P.L.G.
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Group activity
Praia do Futuroand the
TOD Standard
Luc NADAL, Ph.D., Arch D.P.L.G.
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Praia do Futuro
Fortaleza Sprawling
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35 km ( 22 miles)
Praia do Futuro
Centro
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Praia do Futuro
20 km ( 12.5 miles)
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Example from Toronto, based on the following article:VandeWeghe, Jared R and Christopher Kennedy, Journal of Industrial Economy, 11: 2, 2007
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Fortaleza Traffic (source: Tribuna do Ceará)
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Vision Rendering by ITDP for Ashram Road, Ahmedabad, India
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Fortaleza 1930(Source: Arquivo Nirez, via Wikipedia Commons)
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Group activity
Praia do Futuro
Hotel Gran Mareiro
BRT Station Santos Dumont
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1813
Punta de Muricipe
Futuro
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Group activity1940’s
Praia do Futuro
Punta de Muricipe
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Group activity
1965
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Group activity
1970’s
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Group activity
1980’s
Gran Mareiro
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Praia do Futuro
8 km ( 5 miles)
35 km ( 22 miles)
20 km ( 12.5 miles)
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Hotel Gran Mareio
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Group activity
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- PRINCIPLES- IMPLEMENTATION OBJECTIVES- METRICS
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Site/Project Name City, CountryTotal Score
Walk Score 1.1 Walkways
2Crosswalks
1.3 Visually Active Frontage
1.4 Physically Permeable Frontage
1.5 Shade and Shelter
Cycle Score
2.1 Cycle Network
2.2 Cycle Parking at Transit Stations
2.3 Cycle Parking at Buildings
2.4 Cycle Access in Building
Connect Score
3.1 Small Blocks
3.2 Prioritized Connectivity
Mix Score
5.1 Complementary Uses
5.2 Accessibility to Food
5.3 Affordable Housing
DensifyScore
6.1 Land Use Density
Compact Score
7.1 Urban Site
7.2 Transit Options
Shift Score
8.1 Off-Street Parking
8.2 Driveway Density
8.3 Roadway Area
Central Saint Giles London, UK 99 14 3 3 6 1 1 5 2 1 1 1 15 10 5 15 10 1 4 15 15 15 10 5 20 10 2 8
Hammarby SjÖstad Stockholm, Sweden 94 15 3 3 6 2 1 4 2 1 1 0 15 10 5 10 6 1 3 15 15 15 10 5 20 10 2 8
Vauban Freiburg, Germany 90 13 3 3 6 0 1 4 2 1 1 0 15 10 5 13 10 1 2 15 15 10 6 4 20 10 2 8
Quartier Massena, Paris Rive Gauche Paris, France 90 14 3 3 6 1 1 4 2 0 1 1 13 10 3 15 10 1 4 15 15 15 10 5 14 4 2 8
Liuyun Xiaoqu Guangzhou, China 90 14 3 3 6 2 0 3 1 1 1 0 15 10 5 11 10 1 0 15 15 15 10 5 17 10 2 5
Centro Internacional de BogotáBogotá, Columbia 90 11 3 0 6 1 1 3 0 1 1 1 11 6 5 15 10 1 4 15 15 15 10 5 20 10 2 8
Bo01, Västra Hamnen Malmö, Sweden 90 14 3 3 6 1 1 4 2 1 1 0 15 10 5 11 10 1 0 15 15 11 10 1 20 10 2 8
HafenCity Hamburg, Germany 87 13 3 3 6 0 1 4 2 1 1 0 15 10 5 15 10 1 4 15 15 15 10 5 10 0 2 8
Olympic Village Vancouver, Canada 86 12 3 0 6 2 1 3 2 1 0 0 15 10 5 9 4 1 4 15 15 15 10 5 17 10 2 5
Uptown, Cleveland Cleveland, Ohio, USA 84 14 3 3 6 1 1 3 2 0 1 0 13 10 3 11 10 1 0 15 15 11 6 5 17 10 2 5
Jianwai SOHO Beijing, China 83 12 3 0 6 2 1 5 2 1 1 1 13 10 3 11 10 1 0 15 15 15 10 5 12 10 2 0
GWL Terrein Amsterdam, Netherlands 82 15 3 3 6 2 1 5 2 1 1 1 15 10 5 15 10 1 4 0 0 15 10 5 17 10 2 5
World Trade Center site New York, New York USA 79 13 3 3 6 0 1 2 0 0 1 1 15 10 5 5 4 1 0 15 15 15 10 5 14 4 2 8
Ciudadela El Recreo Bogotá, Colombia 79 5 0 0 0 4 1 4 2 1 0 1 11 10 1 15 10 1 4 15 15 9 6 3 20 10 2 8
Puerto Madero Buenos Aires, Argentina 78 13 3 3 6 0 1 0 0 0 0 0 15 10 5 11 10 1 0 15 15 14 10 4 10 0 2 8
Pearl District Portland, Oregon, USA 78 15 3 3 6 2 1 2 0 1 1 0 15 10 5 11 6 1 4 15 15 15 10 5 5 3 2 0
New Quay, Docklands Melbourne, Australia 78 14 3 3 5 2 1 3 2 1 0 0 15 10 5 11 10 1 0 15 15 10 6 4 10 0 2 8
Bab Al Bahr Rabat-Salé, Morocco 78 12 3 0 6 2 1 0 0 0 0 0 15 10 5 7 6 1 0 15 15 15 10 5 14 4 2 8
North Battery Park City New York, New York, USA 77 10 3 0 6 0 1 2 0 1 0 1 9 6 3 15 10 1 4 15 15 15 10 5 11 4 2 5
Mission Bay San Francisco, California, 76 11 3 0 6 1 1 2 0 1 0 1 11 6 5 11 6 1 4 15 15 15 10 5 11 1 2 8
Fruitvale Station Village Oakland, California, USA 76 12 3 0 6 2 1 2 0 1 1 0 15 10 5 11 6 1 4 15 15 11 6 5 10 0 2 8
Corvin Budapest. Hungary 76 14 3 3 6 1 1 4 2 0 1 1 15 10 5 11 10 1 0 7 7 15 10 5 10 0 2 8
Reforma 222 México City, México 75 13 3 3 4 2 1 1 0 1 0 0 15 10 5 11 10 1 0 15 15 15 10 5 5 0 0 5
Marina Bay Financial Centre Singapore 74 11 3 0 6 1 1 0 0 0 0 0 15 10 5 11 10 1 0 15 15 11 6 5 11 1 2 8
Wilshire Vermont Station Los Angeles, California, USA 71 13 3 3 6 0 1 2 0 1 1 0 9 6 3 15 10 1 4 15 15 15 10 5 2 0 2 0
Bank of America Building New York, New York, USA 70 12 3 0 6 2 1 2 0 0 1 1 9 6 3 5 0 1 4 15 15 15 10 5 12 10 2 0
Whampoa Garden Hong Kong, China 69 13 3 3 5 1 1 0 0 0 0 0 15 10 5 7 6 1 0 7 7 15 10 5 12 2 2 8
South Lake Union Seattle, Washington, USA 66 10 3 0 6 0 1 4 2 1 1 0 9 6 3 9 4 1 4 7 7 15 10 5 12 10 2 0
Kanyon Mall Istanbul, Turkey 65 10 3 0 6 0 1 0 0 0 0 0 5 2 3 11 10 1 0 15 15 14 10 4 10 0 2 8
Neo Superquadra Curitiba, Brazil 63 13 3 3 6 0 1 5 2 1 1 1 3 2 1 7 6 1 0 0 0 15 10 5 20 10 2 8
Grand Gateway 66 Shanghai, China 62 6 3 3 0 0 0 2 0 1 1 0 3 0 3 11 10 1 0 15 15 15 10 5 10 0 2 8
Special West Chelsea District (High Line Upzoning) New York, New York, USA 61 14 3 3 6 1 1 2 0 0 1 1 3 0 3 11 10 1 0 15 15 14 10 4 2 0 2 0
Digital Media City Seoul, South Korea 60 10 3 0 6 0 1 1 0 1 0 0 15 10 5 9 4 1 4 0 0 15 10 5 10 0 2 8
Uptown, Oakland Oakland, California, USA 58 10 3 0 6 0 1 1 0 1 0 0 3 2 1 15 10 1 4 15 15 12 10 2 2 0 2 0
Kronsberg Hanover, Germany 58 13 3 3 6 0 1 4 2 1 1 0 15 10 5 5 0 1 4 0 0 1 1 0 20 10 2 8
Podomoro City Jakarta, Indonesia 53 8 3 3 2 0 0 0 0 0 0 0 3 0 3 1 0 1 0 15 15 15 10 5 11 1 2 8
The Mixc Shenzhen, China 50 6 0 0 5 0 1 1 0 0 0 1 0 0 0 11 10 1 0 15 15 15 10 5 2 0 2 0
Metrozone* Chennai, Tamil Nadu, India 50 0 0 0 0 0 0 3 2 1 0 0 0 0 0 7 6 1 0 15 15 15 10 5 10 0 2 8
Bairro Carioca Rio de Janeiro, Brasil 47 5 3 0 2 0 0 4 2 1 0 1 3 0 3 8 4 0 4 0 0 15 10 5 12 10 2 0
S.E.W.S.H. Scheme, Vadaj* Ahmedabad, Gujarat, India 46 3 0 0 0 2 1 2 2 0 0 0 13 10 3 5 0 1 4 0 0 9 6 3 14 4 2 8
East Liberty station areaPittsburgh, Pennsylvania, USA 46 9 3 0 6 0 0 0 0 0 0 0 13 10 3 9 4 1 4 0 0 15 10 5 0 0 0 0
Empire EstatePimpri Chinchwad, Maharashtra, India 49 8 0 0 6 2 0 0 0 0 0 0 0 0 0 7 4 1 2 15 15 14 10 4 5 3 2 0
Águas Claras - DF Brasília, Brazil 45 6 3 3 0 0 0 1 0 0 0 1 7 6 1 7 6 1 0 0 0 11 6 5 13 3 2 8
Mitikah Phase 1 México City, México 41 10 3 3 3 0 1 0 0 0 0 0 5 0 5 11 10 1 0 0 0 15 10 5 0 0 0 0
Rio Vista West San Diego, California, USA 40 10 3 0 6 0 1 2 2 0 0 0 3 0 3 5 4 1 0 15 15 3 3 0 2 0 2 0
Ciudad del Rio Partial Plan* Medellín, Colombia 39 7 3 3 0 0 1 0 0 0 0 0 3 0 3 7 6 1 0 0 0 15 10 5 7 0 2 5
Sikander Bakht Nagar, Behrampur* Ahmedabad, Gujarat, India 37 3 0 0 0 2 1 2 2 0 0 0 5 2 3 9 4 1 4 0 0 7 6 1 11 4 2 5
South End station areaCharlotte, North Carolina, USA 36 10 3 0 6 0 1 1 0 1 0 0 3 0 3 4 0 0 4 0 0 8 3 5 10 0 2 8
CETRAM Zapata México City, México 34 4 0 0 4 0 0 1 0 0 1 0 3 2 1 9 4 1 4 0 0 15 10 5 2 0 2 0
SIPCOT Siruseri Chennai, Tamil Nadu, India 22 0 0 0 0 0 0 0 0 0 0 0 0 0 0 4 4 0 0 0 0 6 1 5 12 2 2 8
Sikander Bakht Nagar, Behrampur Ahmedabad, Gujarat, India 3 0 0 0 2 1 2 2 0 0 0 5 2 3 9 4 1 4 0 0 7 6 1 11 4 2 5
Ciudad del Rio (partial plan)* Medellín, Colombia 7 3 3 0 0 1 0 0 0 0 0 3 0 3 7 6 1 0 0 0 15 10 5 7 0 2 5
S.E.W.S.H. Scheme, Vadaj (Affordable housing at Vadaj)* Ahmedabad, Gujarat, India 3 0 0 0 2 1 2 2 0 0 0 13 10 3 5 0 1 4 0 0 9 6 3 14 4 2 8
Metrozone* Chennai, Tamil Nadu, India 0 0 0 0 0 0 3 2 1 0 0 0 0 0 7 6 1 0 15 15 15 10 5 10 0 2 8
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METRIC (sample)
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COMPACTObjective A:The development is in, or next to, an existing urban area.
Metric 7.A.1 Urban site
Objective B:Traveling through the city is convenient
Metric 7.B.1 Transit Options
URBAN SITE
TRANSIT OPTIONS
TRANSIT&
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sect
500 m walk to station
100 m local pedestrian grid
TRANSIT
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WALK
SAFE, ALL-ACCESSIBLE WALKWAYS
SAFE, ALL ACCESSIBLE CROSSWALKS
ACTIVE FRONTAGE
PERMEABLE FRONTAGE
SHADE AND SHELTER
Rio de Janeiro
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WALKObjective A. Pedestrian realm is safe, complete and accessible to all
Metric 1.A.1 WalkwaysMetric 1.A.2 Crosswalks
Objective B.Pedestrian realm is active and vibrant
Metric 1.B.1 Visually Active FrontageMetric 1.B.2 Physically Permeable Frontage
Objective C. Pedestrian realm is comfortable and temperate
Metric 1.C.1 Shade and Shelter
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Praia do Futuro
SAFE, ALL-ACCESSIBLE WALKWAYS SAFE, ALL ACCESSIBLE CROSSWALKS
ACTIVE FRONTAGEPERMEABLE FRONTAGE
SHADE AND SHELTER
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CYCLE
Objective A: Cycling network is safe and complete
Metric 2.A.1 Safe cyclewaysCompleteness
Objective B:Cycle parking and storage is ample and
secure.
Metric 2.B.1 Cycle Parking at Transit Stations
Metric 2.B.2 Cycle Parking at BuildingsMetric 2.B.3 Cycle Access in Buildings
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SHIFT
Objective A. The land occupied by motor vehicles is minimized
Metric 8.A.1 Off-Street Parking
Metric 8.A.2 Driveway Density
Metric 8.A.3 Roadway Area
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CONNECTObjective A:Walking and cycling routes are short, direct and varied
Metric 2.A.1 Short Blocks
Objective B:Walking and cycling routes are shorter than motor vehicle routes
Metric 2.B.1 Prioritized connectivity
Fortaleza CentroBlock density: 73
Praia do FuturoBlock density: 43
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DENSIFY
Objective A:Densities support high quality transitand local services.
Metric 6.A.1 Nonresidential DensityMetric 6.A.2 Residential Density
NONRESIDENTIAL DENSITY(Jobs and visitors)
RESIDENTIAL DENSITY
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Existing density distribution Praia do Futuro
Gran Mareiro
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Res./Non res. density: Praia do Futuro
Low residential density profile.Job & visitor-generating activities include beachfront hotels, and recreational uses.
Low income community residential density
Commercial beachfront activities
Proposed BRT corridor
Promenade
Hotels
Beach shacks
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MIX (A)Objective A:Opportunities and services are within ashort walking distance of where peoplelive and work, and the public space isactivated over extended hours.
Metric 5.A.1 Complementary usesMetric 5.A.2 Access to Local ServicesMetric 5.A.3 Access to Parks and
Playgrounds
Complementarity Goal: Residential and non-residential uses balance (b. 40 and 60 %)
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Local services
ESSENTIAL LOCAL SERVICES: SCHOOLS, HEALTHCARE, SOURCES OF FOOD
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MIX (B)Objective B:Diverse demographics and income rangesare included among local residents.
Metric 5.B.1 Affordable HousingMetric 5.B.2 Housing PreservationMetric 5.B.3 Businesses and Services
Preservation
Favela Moinho, São Paulo
Inclusivity :Social-Demographic integration in local communities
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Low income communities
Hotel Gran Mareiro
BRT Station Santos Dumont
Metric 5.B.1 Affordable Housing availabilityMetric 5.B.2 Housing PreservationM t i 5 B 3 L l B i d S i P ti
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BRT Station Santo Dumont
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Group activity
Interactive Workshop PFK
Group 1: Optimizing DensityGroup 2: Optimizing the Urban Mix
Hotel Gran Mareiro
BRT Station Santos Dumont