London's Emerging Hot-Spots: What Does Post-Pandemic UK Look Like?

Get data for any location

Start your search

The world is always changing, and changing fast, but the COVID-19 pandemic shifted patterns of human behavior like never before. Urban centers experienced outbound migration at unprecedented rates. Tourism hubs lost visitors and revenue due to travel restrictions. Retail locations now operate according to the latest health advisories.

Migration and visitation behavior is constantly evolving, and keeping track of these pattern shifts requires timely and dynamic data.

Aggregated foot traffic data tells the story of the where, the when, and the how many, providing the temporal and geographical insights that speak to widespread change.

In London, we can layer foot traffic in December 2021 on top of foot traffic a year prior in December 2020 to reveal migration variations. Foot traffic is expressed according to a universal hexagon grid created by Uber. These grids are automatically processed by open-source mapping software Kepler. A simple .csv file for the time and place of your needs can be easily uploaded and imaged within seconds as seen in the map of London below. The hexagons are H3 Level 10, equivalent to 0.01 of a square kilometer.

The height of the columns pictured below are relative to the devices present in each hex, with purple to yellow representing 2020 data and the scale of blue indicating 2021. Follow the static screen-shots below or scroll down for a video interaction: 

3D London Metro view. December 2020 (purple to yellow scale) versus December 2021 (blue scale).

Bird's eye view London Metro. December 2020 (purple to yellow) versus December 2021 (blue scale).

We acknowledge the scope of time across a single month is limited and cannot speak to long-term patterns, but for demonstration purposes, we can still pick out clusters of difference between the years 2021 and 2020.

What are some emerging areas of London? 

Blue-outlined polygons indicate clusters of increased visitation in 2021 compared to 2020.

Wood Green, Stratford, Brixton, and Tooting stick out with accelerated foot traffic. The Northern locations of Stratford and Wood Green border the Hackney marshes, perhaps an indication of increased need for outdoor space in the face of pandemic restrictions, as well as individuals seeking living space away from busier downtown London.

Tooting and Brixton are known as up-and-coming areas with lower price price points for housing. This is also indication of urban spread for those seeking living space outside of busy downtown areas.

Which areas of London have seen visitation decreases?

Blue-outlined polygons indicate clusters of decreased visitation in 2021 compared to 2020.

The outskirts of Westminster, Walthamstow, Stratford, and southern Dulwich show distinct 2020 clusters on the map that were not exceeded by 2021 foot traffic counts. The area of reduction outside of Stratford and across the Hackney area contain industrial operations, a very likely sign of reduced business operations in this region even though foot traffic increased in Stratford proper.

The Westminster area is one of the wealthiest in London, indicating the potential for outflow during a period when the Omicron variant was at its peak. It's possible wealthier residents stayed in second homes or traveled elsewhere in the country, and examining this data over the long-term would reveal whether these areas of London are likely to see far fewer people in the area going forward.

Foot traffic offers the most granular level of insights even to the street level:

Aerial view of streets with reduced visitation in 2021.

What does this data mean in practice?

+ A business selecting a location for its newest site can review foot traffic trends over time to identify neighborhoods of growth or stagnation

+ Property developers can use foot traffic data to understand long-term migration trends and where to optimally place their next building

+ Models of migration flow can be built to forecast future demand for retail, housing, municipal services, and even evaluate public health risk

This data sample focused only on foot traffic in London over two months, but aggregated foot traffic is available for over 80 countries across the world all the way back to 2019. If you're new to Kepler and hexagon data, this User Guide can get you started.

Want a Unacast data sample? Talktous@unacast.com or schedule a meeting.

Frequently Asked Questions

Discover how analyzing real-world movement patterns can reveal valuable trends in customer behavior, optimize business operations, and enhance strategic decision-making.

What is site selection and why is it important?

Site selection is the strategic process by which businesses identify, evaluate, and choose optimal locations for their operations. This process is paramount as the location of a business directly influences factors such as accessibility, visibility, profitability, and market longevity. For retailers, the right site can mean higher customer footfall and increased sales. In real estate, a well-selected site can promise lucrative returns on investment and tenant stability. Financial service firms leverage site selection to position their branches or ATMs in high-demand areas. Essentially, site selection plays a pivotal role in ensuring the success and growth of a business by aligning its physical presence with market opportunities and demands.

How does location intelligence enhance site selection?

Location intelligence refers to the harnessing of geospatial data to derive actionable insights, which can significantly enhance the site selection process. By analyzing data like consumer demographics, foot traffic patterns, competitor locations, trade area data, and more, businesses can make more informed decisions about where to establish or expand their operations. Location intelligence allows for a deeper understanding of market dynamics, revealing hidden opportunities or potential pitfalls. For instance, retailers can identify gaps in the market, real estate professionals can forecast property value trends, and financial service providers can assess areas with high customer demand. Advanced tools, like those offered by Unacast, further refine these insights by leveraging AI and machine learning, enabling more precise and timely decision-making.

What challenges do businesses face in the site selection process?

Unacast provides invaluable support to businesses during the site selection process through its advanced location data and analytics software, all powered and refined by Artificial Intelligence and Machine Learning technologies. The company offers a suite of products designed to deliver accurate, actionable, and comprehensive location intelligence. This data proves crucial for businesses looking to understand consumer behavior, analyze traffic patterns, evaluate competitor locations, and much more. With Unacast’s robust tools, businesses in retail, real estate, and financial services can derive insightful information necessary for making strategic, informed site selection decisions. The platform not only provides reliable data but also ensures it is readily actionable for businesses, whether they are looking to open a new store, invest in property, or expand their financial services to new locations.

What types of location data are crucial for informed site selection?

Demographic data offers insights into the age, income, and lifestyle of people in a particular area, helping businesses understand their potential customer base. Foot traffic data provides information on the number of people visiting a location, which is crucial for retailers to estimate the store's potential popularity and for real estate professionals to assess an area's vibrancy and demand. Geographic Information System (GIS) data helps in visualizing and analyzing geographical details, supporting companies in identifying accessible and strategically located sites. Understanding the proximity to competitors, accessibility, and the socio-economic profile of the surrounding areas is also vital. Unacast’s platform aggregates and analyzes these various data types, providing a holistic view that significantly empowers businesses in their site selection endeavors.

Resources

Sort
No items found.

Book a Meeting

Meet with us and put Unacast’s data to the test.
bird's eye view of the city