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From page 8... ... 8 Context Classification Implementation Practitioners use knowledge of how a roadway functions in the transportation network and its interactions with human, natural, and built environments to develop classifications. This chapter describes methods for using the measures and thresholds described in Chapter 1 to implement context classification at the state level. Read the entire page →
From page 9... ... Context Classification Implementation 9 of development, nonmotorized user transportation needs, and transit accommodation. It can also be used as a surrogate measure of nonmotorized user transportation needs and transit accommodation, with increased building density correlating with increased nonmotorized trip opportunity. Read the entire page →
From page 10... ... 10 Context Classification Application: A Guide development within the rural context. Roadways are first divided into 0.25-mile segments. Read the entire page →
From page 11... ... Figure 4. Lexington, Kentucky, urbanized areas; manual and measure classification (intersection density) Read the entire page →
From page 12... ... 12 Context Classification Application: A Guide includes lower-order facility types such as local residential streets. In suburban residential areas, lot sizes decrease and intersection density can increase, leading to overlap with some urban development patterns. Read the entire page →
From page 13... ... Context Classification Implementation 13 ASTM International has published Standard E2843-17, Standard Specification for Dem onstrating That a Building is in Walkable Proximity to Neighborhood Assets, which can be used as an additional resource for manually evaluating urban/suburban boundaries. This standard identifies a building as walkable if the primary building entrance [is] Read the entire page →
From page 14... ... 14 Context Classification Application: A Guide Advantages • Uses context measures that are widely available for most agencies and consistent across the entire state or nation. • Enables expansive use of context classification during transportation planning activities. Read the entire page →
From page 15... ... Context Classification Implementation 15 • Allows consideration of network and area-wide solutions by increasing awareness of surrounding land uses (e.g., commercial development adjacent to the road with residential uses behind) Read the entire page →
From page 16... ... 16 Context Classification Application: A Guide surveys (e.g., development type, density, and building setbacks) unavailable in most regional or statewide databases. Read the entire page →
From page 17... ... Context Classification Implementation 17 Carabelle, Florida, falls outside of the U.S. Census Urbanized Area and Urban Clusters boundary, but has a defined street network (Figure 8) Read the entire page →
From page 18... ... 18 Context Classification Application: A Guide Figure 8. Street network, Carabelle, Florida. Read the entire page →
From page 19... ... Context Classification Implementation 19 to distinguish places that may develop in the future from areas unlikely to develop. Similarly, Massachusetts, Pennsylvania, New Jersey, California, Florida, Minnesota, Maryland, and Oregon use variations on the suburban context to account for type and density of land use. Read the entire page →
From page 20... ... 20 Context Classification Application: A Guide plans. Project prioritization is another area that benefits from context classification because agencies can incorporate metrics for all users when establishing priorities. Read the entire page →
From page 21... ... Context Classification Implementation 21 be used to define speed (design and target speeds) so it is appropriately matched to facility type. Read the entire page →
From page 22... ... 22 Context Classification Application: A Guide Figure 11. Urbanized area boundary, North Port–Port Charlotte, Florida. Read the entire page →
From page 23... ... Context Classification Implementation 23 Review of urbanized boundary fringes can be beneficial in addressing existing and future land uses. If areas are not identified before classification, they would be identified as either rural or rural town and manually classified as an urban context at that time. Read the entire page →
From page 24... ... Figure 14. Aerial photograph of Beaumont Circle, Lexington, Kentucky. Read the entire page →
From page 25... ... Context Classification Implementation 25 2.6.5 Short Segments Automated classification hinges on roadway segmentation. It is possible that development and street network patterns in the immediate vicinity of a segment fall below thresholds for the context of the surrounding area. Read the entire page →
From page 26... ... Figure 18. Aerial photograph of Oliver Lewis Way in Lexington, Kentucky. Read the entire page →
From page 27... ... Context Classification Implementation 27 Despite adjacent segments classified as urban, Oliver Lewis Way does not meet inter section density thresholds to warrant this classification. Nonetheless, the segment connects all users to surrounding urban areas. Read the entire page →
From page 28... ... 28 Context Classification Application: A Guide pedestrian facilities into roadway cross sections and integrate nonmotorized users at intersections through the provision of appropriate crossings. Because transit stops are a focal point for interactions between motorized and nonmotorized users, practitioners should prioritize design solutions that integrate transit stops with connecting sidewalks and crosswalks. Read the entire page →
From page 29... ... Context Classification Implementation 29 contexts with adjacent commercial land uses and transit stops, practitioners must identify potential needs for integrating pedestrians, either as part of transit stops or as circulation to and from commercial areas. Interactions between pedestrians, bicyclists, and motorists may require special attention where conflicting needs emerge. Read the entire page →
From page 30... ... 30 Context Classification Application: A Guide turns. Including control vehicles may allow for selection of a smaller design vehicle, enabling tighter intersection designs while serving large but infrequent freight movements. Read the entire page →

From page 8...

... 8 Context Classification Implementation Practitioners use knowledge of how a roadway functions in the transportation network and its interactions with human, natural, and built environments to develop classifications. This chapter describes methods for using the measures and thresholds described in Chapter 1 to implement context classification at the state level.