#mobilizefortalezaLuc NADAL, Ph.D., Arch D.P.L.G.

Group activity

Praia do Futuroand the

TOD Standard

Luc NADAL, Ph.D., Arch D.P.L.G.

Praia do Futuro

Fortaleza Sprawling

35 km ( 22 miles)

Praia do Futuro

Centro

Praia do Futuro

20 km ( 12.5 miles)

Example from Toronto, based on the following article:VandeWeghe, Jared R and Christopher Kennedy, Journal of Industrial Economy, 11: 2, 2007

Fortaleza Traffic (source: Tribuna do Ceará)

Vision Rendering by ITDP for Ashram Road, Ahmedabad, India

Fortaleza 1930(Source: Arquivo Nirez, via Wikipedia Commons)

Group activity

Praia do Futuro

Hotel Gran Mareiro

BRT Station Santos Dumont

1813

Punta de Muricipe

Futuro

Group activity1940’s

Praia do Futuro

Punta de Muricipe

Group activity

1965

Group activity

1970’s

Group activity

1980’s

Gran Mareiro

Praia do Futuro

8 km ( 5 miles)

35 km ( 22 miles)

20 km ( 12.5 miles)

Hotel Gran Mareio

Group activity

- PRINCIPLES- IMPLEMENTATION OBJECTIVES- METRICS

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

METRIC (sample)

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&

sect

500 m walk to station

100 m local pedestrian grid

TRANSIT

WALK

SAFE, ALL-ACCESSIBLE WALKWAYS

SAFE, ALL ACCESSIBLE CROSSWALKS

ACTIVE FRONTAGE

PERMEABLE FRONTAGE

SHADE AND SHELTER

Rio de Janeiro

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

Praia do Futuro

SAFE, ALL-ACCESSIBLE WALKWAYS SAFE, ALL ACCESSIBLE CROSSWALKS

ACTIVE FRONTAGEPERMEABLE FRONTAGE

SHADE AND SHELTER

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

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

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

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

Existing density distribution Praia do Futuro

Gran Mareiro

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

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 %)

Local services

ESSENTIAL LOCAL SERVICES: SCHOOLS, HEALTHCARE, SOURCES OF FOOD

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

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

BRT Station Santo Dumont

Group activity

Interactive Workshop PFK

Group 1: Optimizing DensityGroup 2: Optimizing the Urban Mix

Hotel Gran Mareiro

BRT Station Santos Dumont