Laserfiche WebLink
San Leandro Downtown Parking Demand Analysis <br />August 3, 2015 <br />Page 12 <br /> <br />in additional to the customer/employee ratio and parking turnover as determined by data from the <br />parking demand analysis from 2013. <br /> <br />It is important to note that land uses within the defined downtown model area that were self- <br />parked as well as vacancy rates were excluded as inputs into the model. No parking demand <br />associated from these land uses were included because they have sufficient parking at its own <br />parking facilities based on City code, and would not be anticipated to substantially affect parking <br />demand at the public parking lots and on-street parking serving the downtown area. Vacancy rates <br />also were assumed to not be a significant factor to affecting the parking demand profile of <br />downtown San Leandro land uses. <br /> <br />After applying these land uses into the spreadsheet model, the shared parking maximum using <br />default recommended parking ratios (i.e. parking spaces required per unit land use) was then <br />calculated. <br />Temporal Adjustments and Calibration <br />The baseline demand determined by the default parking ratio values did not match what was <br />counted under existing conditions within the downtown parking area. This is due to the type of <br />recommended rates for the particular assigned land uses, which do not take into account the <br />unique local conditions associated with downtown San Leandro. Since CDM Smith had already <br />collected parking occupancy counts in September 2013, adjustments were made to the demand <br />model to better fit the projected parking occupancy with actual counts. These adjustments <br />included: <br /> <br />1. Applying and converting the City’s existing and anticipated future land use scenarios to <br />model land uses. These land uses were adjusted to correspond and match closely with San <br />Leandro’s particular land use mix. <br /> <br />2. Modifying and customizing base land use parking rates, in order to match all modeled land <br />uses with the existing data, to create customized parking demand profiles corresponding to <br />San Leandro land uses. These modifications were made so that the mode’s peak hour shared <br />parking demand estimates would be similar to what was collected for existing conditions. <br /> <br />3. Using the parking duration and turnover values calculated and completed for the existing <br />conditions analysis, the customer/employee split was identified and applied to the model. <br />Employee and customer parking rates were evaluated for their cumulative effect on shared <br />parking demand during the peak hours. <br /> <br />4. Calibrating time-of-day factors to adjust for the unique nature of the downtown core in San <br />Leandro. Adjustments were made based on the types of businesses open during different <br />times of day and the demand intensities of those businesses and land uses. In particular, the <br />residential component of the study area has an outsized effect on parking demand within the <br />study area. In order to accurately account for the residential parking impact, a separate <br /> <br /> <br />109425 <br />685