How Altitude by Geotab can elevate your next location analysis project

We investigate how door-to-door delivery vehicles behave in different urban areas and demonstrate that the idling and stopping behavior of these vehicles is correlated with local weather and land area.

Location is one of the most essential factors in determining the value and outcomes of new real estate. For both infrastructure and commercial development alike, choosing the right place to build has an enormous impact on a project’s potential success. But how do planners and developers know what makes a good location? 

In this article, we explain why a thorough location analysis is critical for proper site selection and demonstrate how Altitude by Geotab’s transportation insights can bolster data-driven location decisions.

A location analysis is a study that helps identify prime areas for new real estate by assessing a wide range of potential sites, including existing and undeveloped locations, and comparing them using data and benchmarking metrics, like transportation analytics and insights. While it is crucial for project stakeholders to perform a location analysis before breaking ground on new construction, there are challenges to conducting one effectively.

Common difficulties with executing an effective location analysis

One major hurdle for real estate developers or transportation planners is with obtaining accurate and relevant data. Reliable data is imperative for smarter decision-making, yet it is often hard to find. Information from various sources can conflict or be outdated, and many data analytics tools aren’t always perfect, lacking the context needed for strategic planning. This makes drawing clear conclusions tough, which can undermine an entire location analysis.

Future-proofing is another challenge. The business landscape changes rapidly with consumer preferences, tech advancements and economic shifts. Future-proofing takes foresight and dependable ways to predict trends, which aren’t always easy to craft.

Pinpointing where target customers are can be tricky, too. Even with a clear customer profile, mapping these demographics to specific areas is complex for commercial developers due to ever-changing factors like mobility patterns and population shifts. Misidentifying customer locations means missing the mark with site selection, reducing potential foot traffic and sales.

Before breaking ground, successful developers know that performing an accurate location analysis is key for many reasons, including:

• Building a fortified business case: With data-driven insights and benchmarking, you can present a compelling argument highlighting your chosen site’s strategic advantages, making gaining approval from stakeholders and investors easier.

• Stronger financial outcomes: Effective location analysis leads to more responsible investments. Choosing the optimal site maximizes returns and minimizes risks, setting up your project for higher profitability and self-sustainability over time.

• Meeting customer needs: Selecting a site that provides easy access to products and services enhances customer satisfaction and loyalty, laying the foundation for long-term business success.

• Avoiding costly mistakes: One of the biggest benefits of location analysis is reducing the potential for underused or under-visited locations that drain money. By evaluating various sites and their potential, you can avoid costly mistakes and position your investment to pay off.

There are a host of use cases where a location analysis can greatly benefit from contextual transportation insights, including:

• Logistics and supply chain management – The optimal location of distribution centers and warehouses is critical in shortening delivery times and reducing transportation costs. This involves strategic route planning to enhance efficiency and minimize fuel consumption.
• Retail site selection – Identifying potential retail locations based on customer access, traffic patterns and proximity to major transportation networks. Analyzing foot traffic and public transportation accessibility is imperative to maximize customer reach.

Read our article: How to optimize commercial site selection using deep transportation analytics.

• Urban planning and development: Designing public transportation systems to improve connectivity and reduce congestion requires an understanding of current mobility benchmarks. Easy access to transportation hubs should be considered when planning new residential and commercial developments.
• Freight and cargo operations: Selecting optimal sites for ports, airports and rail terminals will streamline the import and export processes. Evaluating traffic patterns and transportation bottlenecks can help improve last-mile delivery logistics.
• Public infrastructure projects: Building and expanding transportation infrastructure, such as highways and bridges, helps support growing populations and commercial activities. Enhancing public transit networks increases coverage and efficiency.
• Environmental impact studies: Assessing the environmental impact of transportation projects enables sustainable development and mitigates traffic-related pollution.

Next, let’s dive into which types of transportation data and insights are best suited for performing a location analysis.

Narrowing down the most pertinent data and analytics helps to facilitate a quicker and more effective location analysis. Here are the three most essential categories of data to look at:

1. Vehicle vocation data: By studying how commercial vehicles behave as they serve their purposes—whether they are delivery trucks making rounds, service vehicles on their routes or multi-purpose vehicles— you can gain a richer understanding of area dynamics. This qualitative site selection data complements quantitative traffic data to support more nuanced decision-making.
2. Vehicle class data: By analyzing vehicle types, developers can assess traffic flow patterns in a location, helping determine the suitability for different projects, such as commercial real estate, alternative fuel stations or mixed-use developments. Knowing the mix of vehicle classes, such as light-duty, medium-duty or heavy-duty trucks can guide infrastructure requirements like road capacity, parking space and loading zones, helping to maintain efficient urban planning.
3. Regional travel insights: Developers can make well-informed decisions by focusing on where their ideal customers will likely be rather than simply targeting areas with high traffic volumes alone. Vehicle travel patterns and behaviors are crucial insights for strategic site selection grounded in actual traffic data. This approach aids in predicting traffic flow and identifying high-potential retail locations with greater accuracy.

Altitude by Geotab’s comprehensive data categories and transportation analytics tools provide key contextual insights into travel patterns, vehicle classes and vocations for more precise infrastructure placement and development initiatives.

• Origin and Destination: Real estate developers can make informed decisions by analyzing detailed data on customer locations, timing, vehicle purposes and trip routes. This module helps identify optimal sites for new developments or expansions by providing insights beyond traffic volumes, maintaining alignment with ideal customer types and enhancing revenue potential.
• Traffic Analytics: This module provides comprehensive insights into road safety and traffic patterns using granular historical data. These insights include important aggregated harsh event metrics such as speed, harsh braking, acceleration and cornering events, segmented by road type vehicle class and vocation.  The Traffic Analytics product helps enhance road safety and optimize traffic flow by identifying high-risk areas and understanding traffic patterns over time. For planners and developers, this means more reliable and detailed data to support effective infrastructure planning, safety interventions and regulatory compliance around site selection.
• Regional Domicile Analytics: Regional Domicile Analytics significantly enhances location analysis by providing detailed insights into commercial vehicle stop patterns. This includes data on domicile stop durations, vehicle counts and distances traveled. By understanding where and how long vehicles stop, planners can identify optimal locations for charging and refueling infrastructure as well as commercial real estate.

Strengthening your project’s success through data-driven location analysis

Location analysis is foundational to successful real estate and development site selection. By leveraging transportation analytics from Altitude by Geotab, you gain valuable insights that aid in making well-informed, strategic site selection decisions. Developers can optimize their projects for better functionality, appeal and long-term sustainability by understanding vehicle behaviors, traffic patterns and regional travel characteristics.

Reach out to us to learn more about how Altitude can elevate your location analysis projects.