Road Network Insights: Area, Trends & Segment Distribution Analysis

By abhishek.verma75000 · April 18, 2026

Comprehensive analysis of road segments reveals dominant categories, area distribution, and capture trends over time—highlighting infrastructure maturity,…

The analysis produced a bar chart and data table showing how the number of road segments captured has changed across different capture years. The visualization breaks down segment counts year by year, making it easy to spot trends, peaks, or gaps in road capture activity over time.

FEATURECODE 1050 accounts for the greatest share of total road area in the network, making up 51.4% of the total — that's approximately 17,601,707 square units. This means more than half of all road area in the dataset belongs to this single feature code.

The analysis successfully calculated the average DCGIS ROADPLY AREA for each DESCRIPTION category. A bar chart and data table have been generated showing how the average road polygon area varies across different description types, ranked from highest to lowest.

A stacked bar chart was generated showing how the mix of road description types changes across different capture years. Each bar represents a year and is broken down by the percentage share of each road description type, making it easy to compare how the composition shifts over time.

The dataset contains 11 distinct road types. 'Road' is the most prevalent type, covering the most total area at approximately 17.6 million square units across 14,470 segments. Two bar charts were generated — one showing the count of segments per road type, and another showing total area by road type — along with a full data table.

The analysis reveals how total road area (in square feet) was captured across different years, providing a window into infrastructure investment trends over time. A bar chart and data table have been generated showing the distribution of road area by capture year.

The analysis identified the top 20 road segments in DC with the largest DCGIS ROADPLY AREA values. A horizontal bar chart was generated showing each segment's GIS ID, area size, and road type (DESCRIPTION), making it easy to compare the largest road polygons at a glance. The segments are color-coded by road type so you can quickly see which categories dominate the top 20.

The data shows how CAPTUREACTION types are distributed across the dataset. The overwhelming majority of records are classified as 'E' (Existing) with 36,683 entries, followed by 'U' (Update/Maintenance) with 3,011 records, and 'A' (Add/New Construction) with just 570 records. This indicates the dataset is primarily composed of existing infrastructure records, with maintenance activity (Updates) far outpacing new construction (Adds). Four data tables were generated showing the breakdown of these action types across capture years.

As expected by definition, exactly 10% of road segments have a DCGIS ROADPLY AREA below the 10th percentile threshold. Two visualizations were generated: a histogram showing the full distribution of road segment areas with a red dashed line marking the 10th percentile cutoff, and a bar chart breaking down the feature codes of those segments falling below the threshold. The charts reveal how these smallest road segments are distributed across different feature code categories.

The analysis produced a bar chart and data table showing the median DCGIS ROADPLY AREA for each CAPTUREACTION category, giving a clear picture of typical project scale across different capture types.

The analysis produced a data table showing the proportion of road segments across each CAPTUREACTION type in the dataset. The table breaks down the count and percentage of segments for each action category — such as Existing (E), Updated (U), Added (A), and others — giving a clear picture of how the road network data was captured or modified.

A scatter plot was generated comparing road description types by their number of segments versus total area, with bubble size representing the average segment area. This lets you visually identify which description types have many small segments (high count, low average area) versus fewer large segments (low count, high average area).

The analysis produced a cumulative area chart showing how the total DCGIS ROADPLY AREA grows over successive CAPTUREYEAR periods. The area chart displays the running total of road polygon areas as they accumulate year by year, giving a clear picture of how road coverage has expanded over time.

The analysis produced a grouped bar chart and data tables showing the 25th, 50th, and 75th percentile values of DCGIS ROADPLY AREA broken down by each DESCRIPTION category. You can explore the chart to compare how road area values are distributed across different road types at each percentile level.

In 2021, the most recent capture year, a total of 3,581 road features were recorded. The bar chart shows the breakdown of road types captured, ranked by frequency, giving a clear picture of which road categories were prioritized during that period.

A stacked bar chart was generated showing the total captured road area broken down by FEATURECODE for each capture year. The visualization reveals which feature codes contributed the most road area across different years, making it easy to spot dominant categories at a glance. Additionally, supporting data tables were produced with the underlying figures.

Two visualizations were generated to answer your question. The first is a pie chart showing the overall share of total road area attributed to each CAPTUREACTION category. The second is a stacked bar chart showing how those shares have shifted year over year, with each bar representing 100% of road area broken down by CAPTUREACTION. Together, these charts give a clear picture of both the current distribution and historical trends.

The analysis identified road segments with unusually large DCGIS ROADPLY AREA values using the IQR (Interquartile Range) statistical method. Two visualizations were generated: a box plot showing the full distribution of road segment areas with outlier thresholds marked, and a bar chart highlighting the top 20 largest road segments that exceed the 1.5×IQR threshold. These segments stand out significantly from the typical road segment size and may require special or prioritized maintenance planning due to their larger surface area.