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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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