Understanding Communities Through Quantitative and Qualitative Data
Infrastructure planning is often described as data-driven, but in practice, that usually means relying heavily on quantitative datasets like traffic volumes, crash records and system performance metrics. These datasets are critical, but they only tell part of the story. They show us where issues exist, but not always why they matter or how they are experienced by the people using the system every day.
This is where qualitative data becomes critical in capturing lived experiences.
Together, they create a more complete understanding of how infrastructure functions and how users perceive it, which is essential when the goal is to develop practical, publicly supported solutions.
Why Blending Data Matters
Quantitative data provides a measurable foundation
Quantitative data plays a critical role throughout the analysis process, providing a transparent and objective foundation for understanding your system. It establishes measurable baselines, reveals patterns, and highlights locations with known safety or operational concerns.
These indicators enable teams to efficiently narrow large datasets into a manageable framework for deeper study. This allows teams to direct time and resources strategically and provides a clear starting point for collaboration with stakeholders.
Qualitative data fills the gaps
Qualitative data plays an equally important role in the analysis process, adding important context and shaping how the analysis is conducted. Feedback gathered through conversations, surveys, workshops, and mapping tools can surface concerns, preferences, and lived experiences that are not captured in numerical datasets. Leaving out the people who use these systems every day can create blind spots that technical analysis alone cannot identify. Treating public engagement as a genuine source of insight, rather than a box to check, guides the analysis in meaningful ways and reveals areas where expectations or daily realities deviate from what the data suggests. This input helps clarify why certain conditions matter to the community, where user expectations differ from actual experience and where communication or design gaps may exist.
Incorporating these perspectives ensures that the analysis reflects both performance and lived experience while also helping teams understand potential barriers to acceptance. When paired with quantitative measures, the result is a more balanced, people-focused foundation for decision-making.
Case Study: Clark County Roundabout Study
Clark County, the City of Springfield and ODOT District 7 partnered with the Clark County-Springfield Transportation Coordinating Committee to evaluate more than 5,000 intersections and prioritize future single-lane roundabout locations that could improve safety and mobility across the county. B&N served as the prime consultant, developing a comprehensive evaluation process that integrated quantitative screening, qualitative public input and stakeholder guidance into a unified framework.