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Big Data for sustainable transport planning Robin Lovelace Researcher, CDRC @robinlovelace

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Structure 1. What even is ‘Big Data’ 2. Data on cycling safety 3. Understanding travel patterns 4. Prioritising new investment

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What is Big Data?

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Various definitions • 1 Billion+ rows? • 3 or 4 V’s? • Software needs? • Hardware needs? • Complexity?

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Part I: Data to improve safety

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New insights on populations at risk

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Estimates of cycling riskiness

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Part II: Better understanding of travel patterns “Non work flows” are hard to estimate New sources of data can help • Mobile phone data ( access and accuracy) • Dedicated tracking apps • Passive data collection (Google Maps)

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E.g. Cycle Hackney

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Current research: Twitter to calibrate SIM

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Scenarios of cycling: national

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Part III: Prioritising new investment in walking and cycling

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Where do people travel? https://github.com/npct/pct

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Input: work-time population

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Making data come alive! https://robinlovelace.shinyapps.io/fixMyPath/

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The future of big data in transport • Smart tracking and behaviour of driverless cars • Real-time bus route decision making • Intelligent congestion charging zones • A ‘post-carbon’ transport system

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Thanks for listening! [email protected] @robinlovelace slides: robinlovelace.net

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Research interests