Land Use and Transport for Low Carbon Cities
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1 Land Use and Transport for Low Carbon Cities Sunny Kodukula, Project Coordinator, Wuppertal Institute for Climate, Energy and Environment UNCRD - Environmentally Sustainable Transport (EST) Forum October 2018, Ulaanbataar, Mongolia
2 Cities Cannot live without them, cannot live in them, Can we adapt them? Home to over 50% of the population Economic centres for countries Magnets for opportunities Larger the cities higher the labour opportunities Are also large polluters Consume land and energy Contribute to environmental problems at a larger scale
3 Slumless smokeless cities (1902) Garden city Green Metropolis Ebenezer Howard 2 cities built! - Welwyn Garden City and Letchworth Garden City, both in Hertfordshire England
4 The 1925 view of a 1950 city
5 Atomurbia (1946)
6 The Le Corbusier Model
7 Kinds of cities 1: Monocentric city 2: Dispersed city Or how cities evolved and how we want them - Black arrows are strong links - Brown arrows are weak links 3: Composite city 4: Urban Village Concept of Alain Bertaud, 2001
8 Way we live Paris: 7,877,000 people 1,176 km 2 Jakarta: 14,908,000 people 2,942 km 2 Moscow: 8,543,000 people Shanghai: 7,397,000 people 470 km km 2 Berlin: 4,212,000 people 1,176 km 2 Alain Bertaud, 2001 London: 6,626,000 people 1,062 km 2 New York: 10,752,000 people 2,674 km 2 Scale: 100,000 people
9 Way we move Cities with similar population and the use of private transport Figures not to scale. Source: The Neptis Foundation, 2007
10 Mexico city Change from 1910 until date
11 What it does to our cities Photo by Santhosh Kodukula, 2011
12 Still we like our cars and we give them what they want
13 Precious space 6
14 Resulting in
15 Transport and energy demand
16 Global emissions GLOBAL ANTHROPOGENIC EMISSIONS 38 GtCO 2 THE TRANSPORT SECTOR A major contributor to global anthropogenic CO 2 emissions TRANSPORT EMISSIONS 8.8 GtCO 2 ROAD TRANSPORT EMISSIONS 6.5 GtCO 2 4.6% 10.6% Other 77% Transport 23% 73.9% 46.5% 53.5% 10.9% LEGEND RAIL AVIATION ROAD MARINE HEAVY-DUTY VEHICLES LIGHT-DUTY VEHICLES Source: Kodjak D, 2015, Policies To Reduce Fuel Consumption, Air Pollution, and Carbon Emissions from vehicles in G20 Nations, May 2015, The International Council for Clean Transportation (ICCT) Figure 2.
17 Public Transit and urban density Urban Density vs Public Transport use Public Transport 65.00% 60.00% 55.00% 50.00% 45.00% 40.00% 35.00% 30.00% 25.00% 20.00% 15.00% 10.00% 5.00% Oslo 2013 Vilnius 2011 Melbourne 2016 Stuttgart 2004 Bremen 2004 Boston 2016 Budapest 2011 Malmö 2011 San Jose 2016 Jakarta 2011 Indore 2011 Berlin 2012 Munich 2011 Eindhoven 2004 Bogota 2008 Moscow Madrid 2006 Chicago 2016 Tokyo 2008 Stockholm 2004 London 2016 Milan 2007 Amsterdam 2014 Brussels 2010 Vancouver 2016 Turin 2004 Singapore 2011 Bilbao 2004 Rajkot 2011 Shanghai 2011 Delhi 2011 Pune-Pimpri Chinchwad 2011 Osaka 2000 Barcelona 2013 Paris 2010 Mumbai 2011 Country Australia Austria Belgium Canada China Colombia Denmark France Germany Hungary India Indonesia Italy Japan Lithuania Netherlands New Zealand Norway Poland Russia Singapore Spain Sweden Switzerland Taiwan United Kingdom United States 0.00% 0K 1K 2K 3K 4K 5K 6K 7K 8K 9K 10K 11K 12K 13K 14K 15K 16K 17K 18K 19K 20K 21K 22K Urban Density Sum of Urban Density vs. sum of Public Transport. Color shows details about Country. The marks are labeled by City and sum of F9. Source: Kodukula and Rat, 2018
18 Air Quality In most of the developing cities India and China are getting worse Majority of urban emissions from transport Source: FLICKR/Wayne/bdphoto1 Source: GIZ Photo DVD
19 Induced Demand Greater Demand for space Impact on health Deterioration of environment Impact on traffic Demand for travel Source: Claudio Olivares, based on Wuppertal Institute
20 Tale of two cities Population: 5.25 million Urban area: 4,280 km 2 CO2 Emissions from urban transport: 7.5 T CO 2 /ha/yr (public + private transport) About 500,000 public transport trips / weekday Atlanta, GA, USA Population: 5.33 million Urban area: 162 km2 CO2 Emissions from urban transport: 0.7 T CO2 /ha/yr (public + private transport) About 2.6 million trips / day 953 million boardings/year Barcelona, Spain
21 Car oriented planning Low Density Segregated Land Use Excessive road infrastructure Preference to mobility over accessibility
22 Why do cities grow? What is land use/transport? What influences it? What does it influence? Source: Sustainable Urban Transport Plans (SUTP) and urban environment: Policies, effects, and simulations
23 The 3Ds of land-use Density Diversity / mixed land use Design Destinations (availability of jobs etc.) Distance to transit
24 Density
25 Houston, TX, USA Source: Density: How not to Inhuman scale Not integrated with transit Segregated zoning What is the problem with a downtown? Source:
26 Diversity Is this diversity?
27 Diversity Mixed Land-use reduces the necessity to make some trips Distance travelled is greatly reduced Complemented by a good public realm with space for walking and cycling Source: City of Buenos Aires, 2015
28 Design: Who do we give the space? Source: City of Buenos Aires, 2015
29 Who do we design the spaces for Source: City of Buenos Aires, 2015
30 Design of services Not just urban space Source: City of Buenos Aires, 2015
31 Transit Oriented Development A transit spine Core high density Decreasing densities Transit line Medium-density residential High-density commercial and residential Transit station High-density residential
32 In the TOD Core is Transit bound Walking at 200 m Cycling upto 800 m
33 Example from Curitiba
34 Intervention from Bogota Govt. to locate public facilities (schools, colleges, recreational centers, etc.) along PT corridors Bogota built several schools along TransMilenio corridor
35 Copenhagen Concept of 1947 Over 170 kms of s-tog train lines Over 400 km of bicycle lanes
36 Barcelona
37 Superblocks benefits
38 In conclusion Growing Economy Car ownership Traffic volumes Urban Sprawl Longer trips Time lost in traffic Higher infrastructure costs Climate Change Higher emissions Air pollution Road Safety Higher speeds Increased Fatalities Conflict among modes Energy Consumption Transport consumes about 30% of energy GHG Emissions
39 What carries how much? Suburban Rail (e.g. Mumbai) Equivalency road width: In order to carry 20,000 automobile commuters PHPD, a highway must be at least 18 lanes wide. (assumption 1.2 passengers per automobile) Mixed Traffic Regular Bus BRT single lane Cyclists Pedestrians Light Rail BRT double lane Heavy Rail/ Metro PPHPD Range 1.5k-2k 5k 9k 14k 19k 18k 20k?? 40k 60k 60k 90k Maximum PPHPD achieved 2k 8k 15k, Curitiba 14k 19k 20k 43k, Bogota 80k, HKK >100k, Mumbai Source: Manfred Breithaupt (2016) based on Botma & Papendrecht, TU Delft 1991 and own figures
40 We know it is bad but 50 CHART 1 Average time spent commuting to work in selected metropolitan areas in Brazil and other countries¹, ² (In minutes) Shanghai São Paulo Rio de Janeiro Brazilian MAs London Stockholm Recife Federal District New York Tokyo Belo Horizonte Sydney Salvador Paris Madrid Toronto Curitiba Fortaleza Berlin Belém Montréal Chicago Vancouver Boston San Francisco Los Angeles Porto Alegre Santiago Seattle Milan Barcelona Source: Brazil - National Household Sample Survey (PNAD/IBGE); Santiago (Chile) data available at: < data from all other metropolitan areas from Toronto Board of Trade (2012). Notes: 1 Tokyo: 2005; Santiago and Europe: 2006; Brazil: 2009; Australia, Canada, Shanghai and USA: ² Commute time data from Eurostat is available only at the regional level. However, the delimitation of these boundaries is not strictly defined and may vary greatly across European MAs. Data from the USA is based on Metropolitan Statistical Area.
41 What to prioritise Cities for People OR City for cars
42 How do we do it? Integrate land use and transport Don t focus on single corridor solutions Integrate, integrate, integrate Don t control land prices but guide urban development Know what kind of city you want!
43 Questions for you. Land Value Capture Any other alternatives to TOD? What is being done in your city?
44 Thanks for the attention Sunny Kodukula Project Coordinator Wuppertal Institute, Germany T: F: Skype: santhosh.kodukula LinkedIn:
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