Transport and Land Use Data

Explore the why, how, and what of transport and land use data for city planning, and begin with the end in mind to guide decision making.

Explore how data unlocks insights about people, places, assets and transport to support decision making, provide evidence for investment decisions, and understand complex city systems.

Explore how city planning uses data from raw input through processing, visualization, and modelling to justify, compare options, and optimize land use and transport policies.

Begin with the end in mind to define objectives, clarify success, and guide city planning with end goals expressed as land use or transport policy.

Explore a spectrum of transport and land use data sets used in city planning. Understand how these data are collected, processed, and applied to policy questions, including purpose and limits.

Explore origin-destination data: how location-based movement is collected, processed into a table, and used to understand travel patterns for planning transport infrastructure and mobility policies.

Explore how traffic counts use turning data, linked data, and video link data to quantify movements of cars, buses, trucks, bikes, and pedestrians, guiding infrastructure design.

Examine how journey time data, from sources like GPS logging and mobile apps, informs transport assessment and land-use planning by measuring delays and access to opportunities.

Explore how public transport data are collected and used to inform operational decisions, focusing on ridership, boarding and alighting, crowding, and demand insights from video, ticket, and GPS data.

Explore how transport systems, including roads, public transit, and mobility networks, are governed, classified, and modeled using data to plan, operate, and invest in fit-for-purpose solutions.

Explore travel surveys, including national, household, and census data, and learn how they provide longitudinal insights into travel behaviour with diaries to inform transport policy decisions.

Analyze how land use data informs city planning through zoning rules, population and employment patterns, and access to services, revealing growth, affordability, and policy interventions.

Discover how data visualization simplifies complex transport and land use relationships using visual and spatial data to reveal trends, outliers, and patterns for informed decision making.

Examine historic uses of data visualization, from John Snow's cholera map linking deaths to the Broad Street water pump to early geographical information systems.

Explore how geographical information systems drive transport and land use analysis by capturing, storing, managing, manipulating, analyzing, and visualizing geospatial data, tracing GIS evolution from 1962 to 2014.

Explore data visualization examples and the tools city planners worldwide use for industry applications, data and spatial analysis, with topics you can explore as you prefer.

Discover Datashine Census, an open source sensors visualization tool with a dynamic map that combines demographic data across population origin, health, housing, education, and travel to work.

Explore a UK commute visualization tool built on census data to analyze origin–destination mobility patterns by mode, using interactive maps, filters, and numeric details.

Digitize parking assets with Park PDA to build a citywide parking inventory, compare real-time availability and costs, and inform parking policy and city planning.

Explore the tube heartbeat visualization of London underground ticket movement data to analyze mobility patterns, station busy-ness, overcrowded lines, and interactive filters, maps, and time slides.

Explore the CDRC maps tool, an open-source visualization that combines data sets into a dynamic map for transport and land use. Compare mode choice, housing, deprivation, and broadband across areas.

Explore the webcam planning tool for accessibility and time mapping, identifying transport connectivity gaps. Use dynamic maps, scenario forecasting, and downloadable reports to inform investment and catchment analysis.

Explore the propensity to cycling tool, an open source decision support platform that visualizes England's cycling potential to guide investment, health and environmental benefits through route planning.

Showcases how Google Maps integrates land use and transport data to form a digital twin, visualizing real-time traffic and navigation options for urban networks.

Explore the targomo accessibility tool, a multi-modal map that visualizes travel reach by time or distance and compares walking, cycling, cars, and public transit access.

Explore Uber movement, a data platform using anonymous gps data from hundreds of thousands of Uber vehicles to analyze traffic patterns and inform city infrastructure decisions.

Explore an open source traffic data platform in England that aggregates count data, visualizes it on interactive maps, and enables bulk downloads, api access, and site-specific data extraction.

Explore a UK crash map tool that visualizes collision data for better safety decision making by mapping incidents, severity, and details with zoom, filters, and searchable addresses.

Explore data and forecasts with Google Public Data Explorer, comparing open datasets from World Bank, Eurostat, and others using interactive maps and charts to reveal long-term trends.

Explore how emerging technology intersects with transport and land use data to inform decision making, highlighting market trends and industry transitions.

Explore how data sets act as a connector to deliver cross-sector planning for sustainable cities, overcoming fragmented systems and aligning funding, policies, and decision making.

Explore how advances in technology shape smart cities, enabling data-driven decision making while balancing data privacy and governance, and align tech innovation with a proactive city vision.

Explore data driven decision making by backing choices with hard data, moving beyond intuition, and applying data collection to transport and land use contexts.

Explore how big data and artificial intelligence unlock value ethically, guided by leadership, in building smart cities like London using real-time sensor data, VR testing, and self-healing road networks.

Leverage games and digital twins to transform city planning, enabling inclusive, transparent public consultation and simulations of future urban forms using tools like Minecraft and Cities: Skylines.

Discover how computer vision processes video and images to enable automated data collection for AI and robotics, including traffic data and citywide surveillance.

Explore how transactional data evolves with payment systems from cash to internet-based methods and this data is used for city planning, ethics, and fighting human trafficking, including a Canadian case.

Mobility solutions drive new movement data sets in the transport sector, fueling a mobility revolution with micro-mobility, self-driving cars, ride sharing, and electric vehicles, revealing movement patterns and travel preferences.

Explore how location-based data from movement patterns and searches, driven by Google Maps, mobile apps, and broadband satellites, shape current and future transport data analysis.

Explore how urban sensors underpin city planning by collecting environmental data such as air and water quality, building conditions, transport, and land use, driving data-driven decisions in Boston and Seoul.

Explore city planning simulation and analytics with digital twins, real-time data, and generative design to forecast options, evaluate tradeoffs, and engage communities in smarter, sustainable growth.

Complete this course to gain a flavor for using transport and land use data in city planning, and connect on LinkedIn for feedback and updates.