Application of New Pedestrian Level of Service Measures - sacog
Application of New Pedestrian Level of Service Measures - sacog
Application of New Pedestrian Level of Service Measures - sacog
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<strong>Application</strong> <strong>of</strong> <strong>New</strong> <strong>Pedestrian</strong> <strong>Level</strong> <strong>of</strong> <strong>Service</strong> <strong>Measures</strong><br />
SACOG<br />
2. Terminology<br />
Before discussing the models SACOG selected to use in this analysis, it is important to define<br />
some <strong>of</strong> the terms being used in this report.<br />
Walking Infrastructure and <strong>Pedestrian</strong> <strong>Level</strong> <strong>of</strong> <strong>Service</strong> – “walking infrastructure” are physical<br />
elements on a street segment which serve pedestrians, or which affect the feeling <strong>of</strong> safety,<br />
security, convenience, or comfort <strong>of</strong> pedestrians using that street segment. Objective<br />
measures which define and quantify these feelings <strong>of</strong> pedestrians using a roadway segment<br />
are defined as “pedestrian level <strong>of</strong> service” measures. <strong>Level</strong> <strong>of</strong> service measures typically<br />
generate a numeric score that translates into a letter grade (A‐F).<br />
<strong>Pedestrian</strong>‐Oriented Land Use and <strong>Pedestrian</strong> Demand – Land uses, both the type and the mix<br />
<strong>of</strong> uses in a given area, strongly affect the level <strong>of</strong> demand for walking as a means <strong>of</strong> travel by<br />
residents <strong>of</strong> and visitors to an area. Some land uses are known to generate relatively high<br />
levels <strong>of</strong> walking: schools, civic institutions like museums and libraries, hospitals, and some<br />
shopping districts or malls. Other land uses generate low levels <strong>of</strong> pedestrian demand:<br />
agricultural uses, industrial uses, etc. Mixing <strong>of</strong> complementary uses (e.g. housing near to jobs<br />
centers, shopping near residential areas, etc.) in close proximity can increase the possibility <strong>of</strong><br />
and demand for walking as a mode <strong>of</strong> travel. In some areas, where parking is provided <strong>of</strong>fsite,<br />
or where transit stations are located, high levels <strong>of</strong> walking are generated by residents,<br />
workers or visitors getting to or from their primary mode <strong>of</strong> travel (e.g. walking from a public<br />
parking lot to a workplace or a restaurant, or from home to a transit station).<br />
<strong>Pedestrian</strong> Accessibility – Accessibility refers to the ability to access land uses via a specified<br />
mode <strong>of</strong> travel, accounting for the ease or difficulty <strong>of</strong> doing so by measures like travel time.<br />
<strong>Measures</strong> <strong>of</strong> accessibility must take account simultaneously <strong>of</strong> the opportunities for engaging<br />
in daily activities (work, school, shopping, personal business, etc.), and the ability to access<br />
these opportunities using the infrastructure and services provided for travel. <strong>Pedestrian</strong><br />
accessibility must take account <strong>of</strong> the pedestrian infrastructure available for walking, as well<br />
as the likelihood <strong>of</strong> needing to walk generated by the land uses served by the pedestrian<br />
infrastructure. This complex relationship between infrastructure and land use is illustrated in<br />
Exhibit A.<br />
This report focuses on evaluation <strong>of</strong> the infrastructure for walking and measures <strong>of</strong><br />
pedestrian LOS. In the literature review in the next section, staff reviewed many different<br />
pedestrian measures, including pedestrian accessibility and walkability models. However, the<br />
two models we ultimately chose to use for this report are both LOS models. The two<br />
methods were used not to “pick a winner” in terms <strong>of</strong> evaluation <strong>of</strong> pedestrian LOS, but to<br />
evaluate which factors and variables were important to both methods, and identify likely<br />
resources to undertake an effort to assemble regional data to support evaluation <strong>of</strong><br />
pedestrian LOS in the future.<br />
Issue Date: June 2011<br />
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