treasure valley road dust study: final report - ResearchGate
treasure valley road dust study: final report - ResearchGate
treasure valley road dust study: final report - ResearchGate
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Table 4-3. TRAKER street survey coverages by season, county, and <strong>road</strong> class.<br />
County<br />
Road Class<br />
kilometers<br />
covered with<br />
TRAKER<br />
County<br />
Road Class<br />
kilometers<br />
covered with<br />
TRAKER<br />
Ada Collector 62.0 Ada Collector 65.8<br />
Ada Interstate 41.1 Ada Interstate 47.8<br />
Ada Local/Residential 44.6 Ada Local/Residential 46.3<br />
Ada Minor Arterial 60.9 Ada Minor Arterial 75.7<br />
Ada Principal Arterial 51.9 Ada Principal Arterial 60.1<br />
Ada Unpaved 14.9 Ada Unpaved 18.4<br />
Ada All <strong>road</strong>s 275.4 Ada All <strong>road</strong>s 314.0<br />
Canyon Collector 9.5 Canyon Collector 8.5<br />
Canyon Interstate 30.3 Canyon Interstate 33.4<br />
Canyon Local/Residential 15.3 Canyon Local/Residential 11.3<br />
Canyon Minor Arterial 56.4 Canyon Minor Arterial 43.0<br />
Canyon Principal Arterial 39.9 Canyon Principal Arterial 23.8<br />
Canyon Unpaved 0.0 Canyon Unpaved 0.0<br />
Canyon All <strong>road</strong>s 151.5 Canyon All <strong>road</strong>s 120.1<br />
Ada &<br />
Canyon<br />
Winter<br />
All <strong>road</strong>s 426.9<br />
Ada &<br />
Canyon<br />
Summer<br />
All <strong>road</strong>s 434.1<br />
4.2.1.1 Effect of Speed and VMT<br />
The effect of vehicle speed and the volume of traffic per lane on <strong>road</strong> <strong>dust</strong> emissions<br />
potentials were assessed for all non-residential <strong>road</strong>s. Residential <strong>road</strong>s were not included<br />
because they are not physically represented in the Traffic Demand Model. Therefore, the<br />
associated speeds and traffic volumes were also not available for residentials. It is important to<br />
note that “speed” here refers to the speed attributed to the <strong>road</strong> in the Traffic Demand Model and<br />
not the speed of the TRAKER vehicle itself. The dependence of the emissions potential on<br />
speed and traffic volume was assumed to have the following form:<br />
b<br />
or equivalently,<br />
? x ? y<br />
? CC, S,<br />
T<br />
? s ? v<br />
(4-7)<br />
log( b)<br />
? lCC , S , T<br />
? x?<br />
log( s)<br />
? y?<br />
log( v)<br />
(4-8)<br />
where b is the emissions potential in units of [g/vkt/mps], C C,S,T is a constant that is specific to<br />
the county (Ada or Canyon), setting (urban or rural), and time of year (winter or summer), l C,S,T<br />
is the base 10 logarithm of C C,S,T , s is the <strong>road</strong> speed, v is the number of vehicles per lane per<br />
day, and x and y are positive empirical constants. The form of Eq (4-7) is appealing because as<br />
speed and traffic volume increase, the <strong>road</strong> <strong>dust</strong> emissions potential decreases, a result that is<br />
consistent with physical expectation.<br />
The results of regressions of log(b) vs. log(s) and log(v) are shown in Table 4-4. Three<br />
sets of linear regression results are shown in the Table: Log (b)vs. Log(s) and Log(v) shown as<br />
option 1 in the table, Log(b) vs. Log(s) only shown as option 2 in the table (assumes emissions<br />
potential independent of per lane traffic volume), and Log(b) vs. Log(v) only shown as option 3<br />
in the table (assumes emissions potential independent of <strong>road</strong> speed). For each of the three<br />
4-9