How can Innovative, People-Centered Data Collection contribute … · 2018. 7. 16. · through...
Transcript of How can Innovative, People-Centered Data Collection contribute … · 2018. 7. 16. · through...
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How can Innovative, People-Centered Data Collection contribute to improved
Cycling Planning and Policy?
VeloCity Conference, 14 June 2018, Rio de Janeiro
Stefanie Holzwarth
Urban Mobility Unit
UN-Habitat
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The global framework
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PARIS CLIMATE
AGREEEMENT NDC’s to reduce
transport
emissions
Access to Mobility
for All (mentions
Cycling 5 times)
End poverty, protect the
planet, and ensure
prosperity for all
• Cycling contributes to all Global Commitments: Zero Emission Mobility, Inclusive
Mobility, Ensures Access, Reduces Congestion, Improves Health etc.
• Data is a vital tool for better cycling policies and planning
• Monitoring mechanisms of cycling action essential
>> Need for National Commitments/ Local Action to “make cycling happen”
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Mutually Reinforcing Governance Levels: Implementing Sustainable Urban Mobility
Guidelines and Tools;
Rapid City Diagnostics;
Field demonstration Projects;
SUMPs; Local Mobility Policies; Capacity development;
National Policy Dialogue;
Capacity Building;
National Policy formulation on Urban Mobility.
Habitat III, SDGs, Paris;
Regional and International Dialogue and Coordination;
UN-Habitat Governing Council; WUF; VeloCity; ITF; etc.
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City Level
Nat. Level
Global Level
Mutually reinforcing Levels:
- Local Action creates demand for cycling & informs Nat. Mobility Plans
- National Mobility Policy can trigger local investment in cycling
- International Commitments can identify Nat. policy gaps and push for Local and National
Action
Reg. Level
Metropolitan Transport Planning;
Neighbor-
hood
Pilot projects; cycle events; bike share
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Promoting the importance of innovative, human-centered data for better cycling policies and planning
- An Example from Kuala Lumpur
during WUF 9
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WUF =
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Reality =
We wanted the World Urban Forum to became an inspiring and fun
“living lab example” of the potential to Cycle for Change
The “Cycling for Change” Team
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Bicycle Lane Opening during WUF 9
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New partnerships with tech start ups
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City of Kuala Lumpur (DBKL)
Attention of Cyclists
through biosensor data
Air Quality
Monitoring Network
MULTIMER
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Initiating the Project on Air Quality Monitoring at the City of Kuala Lumpur
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Setting up the pilot Air Quality Monitoring devices
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Open Data Map – available Real Time
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Open Map available at: https://openmap.clarity.io
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Real-Time Livestreaming at Bamboo Pavilion
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• Real-time air quality data was livestreamed as part of a living lab at the Urban
Brain Bamboo Pavilion for the duration of WUF9
• Engagement Forum participants and local residents on data-driven solutions to
urban challenges // advocacy
• Legacy to KL with continued monitoring efforts // informed planning and decision-
making
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Multimer Data recording attention levels
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• Multimer helps organizations quantify
population sentiment in any given place
• offering kits to measure, monitor, visualize,
and analyze biosensor data continuously, over
long time periods and large scales
• recording human signal (brainwave, heart
rate, and in-app survey) data from cyclists as
they cycled on or near the new cycling route in
downtown Kuala Lumpur
• Measuring “attention” and “relaxation”
(brainwave frequencies)
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Measurements recorded on new cycling lane
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The color code is a gradient in which
green indicates areas of high relaxation and low attention
yellow indicates areas of medium-high attention and medium-high relaxation
brown indicates areas of low relaxation and attention
orange indicates areas of low relaxation and medium-high attention
red indicates areas of low relaxation and high attention.
• green tends to correlate with “relaxing” routes: limited traffic, good design, trees, parks etc.
• red tends to correlate with “stressful” routes: vehicular traffic, highways, high speed, tunnels etc.
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Comparison Cycling Route vs. Regular Street
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• Revealing that the cycling
route has more green dots
than on regular streets
• Potentially achieving
planners’ goals for cycling
routes to be less stressful,
more relaxing, and more
safe
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Filtering Hotspots and Sweetspots
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Filtering:
hotspots (where participant
attention >=70 and relaxation
<=30) and
sweetspots (where participant
relaxation >=70 and participant
attention is <=30).
>> Data illustrates benefits of cycle
lane but also proposes additional
design features
>> Need for Larger Studies and Data
Optimization. Dataset collected for this
study was less than 50,000 points
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UN-Habitat’s efforts to showcase the impact of pedestrianization on
air pollution -
An Example from Kampala, Uganda
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Open Street Activity – Kampala
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January 2018 – Luwum Street, Kampala
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Visualization of PM2.5 particles in the air
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Partnership between:
• Kampala Capital City Authority (KCCA)
• UN-Habitat
• University of Birmingham / Visual Artist
Using a custom built digital light painter and wearable particulate sensor, the artist takes long exposure photographs
Measuring the impact of pedestrianization on air pollution
Helping people understand the pollution level
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Take - Aways
• Data empowers policy-makers to make informed, demand-driven decisions on transport policies, planning, infrastructural development, and funding streams
• Development of technology should be coupled with the intent of its patrons to implement solutions that are applicable, inclusive, and impactful
• Identify good models of PPPs - Genuine purpose and relevant innovation should determine partnerships with tech companies
• Data is a vital tool in decision making processes, from the city planning level down to commuter choice
• Human-Centered Data can complement conventional data sets
• Data is the main ingredient for successful advocacy efforts / Simple Messaging is important
• Data collection efforts can enable innovation in (data-scarce) Cities >> growing willingness of institutions to use tech
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