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From page 57... ... 57 Case Studies This chapter presents three case studies demonstrating the use of context classification. The first case study focused on central Kentucky and applies context classification at the regional level and describes step-by-step procedures for performing automated, GIS-based classification and manual review. Read the entire page →
From page 58... ... 58 Context Classification Application: A Guide 9.1.3 Classify Urbanized and Non-Urbanized Areas 1. Import the roadway network file and U.S. Read the entire page →
From page 59... ... Case Studies 59 Urbanized boundaries are updated every 10 years in conjunction with the U.S. Census. Read the entire page →
From page 60... ... 60 Context Classification Application: A Guide a unique route identified in the attribute table. Roadways vary in length and as a result some remainder road segments will be created that are shorter than the 0.25- or 0.50-mile road segments. Read the entire page →
From page 61... ... Case Studies 61 9.1.6 Calculate Intersection Density 1. In ArcGIS use the Intersect (Analysis) Read the entire page →
From page 62... ... 62 Context Classification Application: A Guide 9.1.9 Automated Context Classification Once all measures are calculated for the entire network, segments are classified according to the established thresholds. Thresholds for urbanized and non-urbanized areas are summarized in Table 10. Read the entire page →
From page 63... ... Case Studies 63 in the attribute table. Manual review of this study area (with over 7,000 miles of roadway) Read the entire page →
From page 64... ... 64 Context Classification Application: A Guide Area 1 Area 2 Legend Urban Suburban Figure 47. Urban/suburban automated context classification results. Read the entire page →
From page 65... ... Case Studies 65 segments in the rural town road network. Roadways that clearly contribute to the rural town network and primary roadways that have developed are included in the rural town. Read the entire page →
From page 66... ... 66 Context Classification Application: A Guide Figure 51. Final rural town after manual review. Read the entire page →
From page 67... ... Case Studies 67 9.2 Use of Context Classification to Develop Transportation Expectations 9.2.1 Confirming Project Intended Outcomes The second case study examines a hypothetical project in Orlando, Florida. The focal point is a road that traverses a community in which many low-income households have no access to a personal vehicle. Read the entire page →
From page 68... ... 68 Context Classification Application: A Guide Movement Vehicle volumes are between 20,000 and 50,000 vehicles per day, and average travel speeds during the peak hour are relatively high. Nonpeak travel speeds range from 31 mph to over 50 mph (Figure 55) Read the entire page →
From page 69... ... Case Studies 69 Percent Figure 54. Transit ridership along the corridor. Read the entire page →
From page 70... ... 70 Context Classification Application: A Guide Figure 55. Travel speeds along the corridor. Read the entire page →
From page 71... ... Case Studies 71 Figure 56. Crashes along the corridor. Read the entire page →
From page 72... ... 72 Context Classification Application: A Guide Network The road network is a disjointed grid system. Design solutions should deliver improvements along the road and at intersections as well as numerous and evenly spaced crossing opportunities, including midblock crossings. Read the entire page →
From page 73... ... Case Studies 73 Figure 57. Posted speeds along the corridor. Read the entire page →
From page 74... ... 74 Context Classification Application: A Guide attention to ensure pedestrians can safely cross the roadway and access residential and commercial land uses. Permeability Industrial and port land uses to the west have resulted in large blocks, while the east side has neighborhood block sizes typical of residential areas (500 ft average) Read the entire page →
From page 75... ... Case Studies 75 Network The road network has a well-defined grid system in the residential and commercial areas. Adequate connections to Front Street exist. Read the entire page →

From page 57...

... 57 Case Studies This chapter presents three case studies demonstrating the use of context classification. The first case study focused on central Kentucky and applies context classification at the regional level and describes step-by-step procedures for performing automated, GIS-based classification and manual review.