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Welcome to THE LOCATION DATA KNOWLEDGE BASE

Guides, Best Practices & Insights

Explore practical guides, best practices, and expert insights from Quadrant and other industry leaders, covering location intelligence, geospatial and mobility data, industry trends, and real world use cases across retail, advertising, logistics, mobility, and supply chain. Whether you’re exploring location data for the first time or looking to get more value from geospatial intelligence, discover practical resources to better understand the technology, make informed decisions, and uncover new opportunities.
The Ultimate Guide to Location Data

The Ultimate Guide to Location Data Vendor Evaluation & Use Cases

Choosing the right location data can be challenging. This guide covers what location data is, how to evaluate data quality, what to look for when selecting a provider, and the differences between brokers, resellers, and location data technology companies. Explore key location data use cases, privacy and compliance considerations, and best practices for buying location data.

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foot traffic data

Foot Traffic Data: A Guide to Location Data Analytics & Use Cases

Foot traffic data offers a powerful way to understand how people move through physical spaces and interact with businesses, places, and destinations. This guide explores how mobile location data and mobility insights can support foot traffic analytics, visitation analysis, retail site selection, competitor benchmarking, trade area analysis, ad measurement, etc.

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Data to Cleaner Air - Worldbank

From Data to Cleaner Air: How Location Data Helps Tackle Air Pollution

How can cities understand where people travel, how traffic moves, and where transport related emissions come from? Quadrant’s anonymized mobile location data helps answer these questions, enabling cities to identify travel patterns, build origin destination matrices, and assess the potential impact of low emission zones and vehicle restrictions.

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Climate Crisis

Using Human Mobility Data to Monitor Climate Driven Displacement

Climate change is reshaping how people move, particularly in developing countries, creating an urgent need for monitoring human mobility. This case study explores how mobile GPS location data can track evacuation patterns, measure displacement, identify refuge locations, and reveal how socioeconomic differences influence mobility during flooding events.

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Internal migration in Thailand

Determinants of Internal Migration: A Location Data Case Study

Economic opportunity shapes where people move, but how can we measure these movements at scale? This study uses high frequency mobile GPS location data to map internal migration across Thailand, revealing how earning opportunities, sectoral differences, education, and digital connectivity influence migration patterns and shape the country’s economic transformation.

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Flood Displacement and Resilience Planning

Leveraging Location Data to Inform Flood Displacement

Flooding does not affect all communities equally. This study combines mobile GPS data, flood maps, and socioeconomic indicators to understand where people live, how they relocate during floods, and how displacement patterns differ across income groups. The findings can support more targeted disaster response, safer planning, and more equitable climate resilience strategies.

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Transport Planning

Using Mobility Data for Resilient Transport Planning & Investments

Chennai’s transport system faces growing pressure from urban growth, changing travel patterns, and extreme weather events. This study uses Quadrant GPS data to map public transit demand, identify busy routes and underserved areas, and understand how mobility changes during disruptions, providing insights to support more accessible, resilient transport planning and investment.

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Air pollution 2

Helping Southeast Asian Cities Improve Air Quality with Data

Traffic congestion is more than a mobility challenge. It can also have serious implications for air quality and public health. This project combines Quadrant mobile location data with traffic, road network, fleet, and emissions data to model transport and emissions across Southeast Asian cities, helping policymakers assess different transport policies and understand their potential impact before implementation.

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Olympics

2026 NRL Magic Round Visitation & Olympics Preps in Brisbane

Mega events offer a valuable way to understand how a city handles major surges in visitors and what that means for future infrastructure. Using Quadrant mobile location data, BizziRex analyzed movement patterns during the 2026 NRL Magic Round in Brisbane to identify transport pressures, visitor catchments, and activity hubs, providing insights to help prepare the city for the 2032 Olympic and Paralympic Games.

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Shopping Mall

Mapping competition between shopping malls using location data

Shopping mall catchment areas are shaped by more than proximity. Using Quadrant’s anonymized mobile geolocation data, this study maps where visitors to two major Auckland malls come from and how their catchment areas change across different days and times. The findings reveal distinct visitation patterns, offering insights into retail positioning, urban planning, and competition between shopping destinations.

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Park

Socio-economic disparities in the utilization of urban green spaces

Urban green spaces are widely recognised for their critical role in enhancing urban liveability, promoting public health, and fostering social cohesion. However, a persistent gap exists between groups. This study identifies distinct patterns of green space visitation across cities and social groups, revealing that spatial proximity alone does not guarantee use. These findings call for a shift in both research and planning frameworks, from assessing access to understanding actual utilisation based on observed behaviours.

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Cities On the Move

Worldbank: How human mobility data helps build sustainable cities

Understanding how people move through cities can help make urban planning more resilient, inclusive, and sustainable. This World Bank guidance note explores how human mobility data can support transport planning, disaster response, public space analysis, displacement mapping, and urban regeneration, with anonymized data from providers including Quadrant contributing to practical use cases.

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Shopping Mall

Mapping competition between shopping malls using location data

Shopping mall catchment areas are shaped by more than proximity. Using Quadrant’s anonymized mobile geolocation data, this study maps where visitors to two major Auckland malls come from and how their catchment areas change across different days and times. The findings reveal distinct visitation patterns, offering insights into retail positioning, urban planning, and competition between shopping destinations.

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