TPAC STAFF REPORT. MEETING DATE: November 7, 2013 AGENDA ITEM: 4

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1 TPAC STAFF REPORT SUBJECT: Park and Ride Plan Update MEETING DATE: November 7, 2013 AGENDA ITEM: 4 STAFF CONTACT: Julio Perucho, Peter Imhof RECOMMENDATION: Review project status and provide guidance on draft document and process to completion. SUMMARY: SBCAG staff has been in the process of developing a Park and Ride (P&R) Plan for Santa Barbara County since Following completion of the 2040 Regional Transportation Plan and Sustainable Communities Strategy (RTP-SCS), staff is now able to devote more time and attention to this project and has resumed work on it. This staff report describes the draft plan status, analytical methodology staff proposes to follow, some preliminary results, project schedule and next steps. The purpose of the Park and Ride Plan is to study where park and ride lots are most needed to meet current and expected future demand in order to facilitate commute trips by shared ride (carpool) and transit. Staff has completed the inventory of existing facilities and a preliminary analysis of commute sheds, census tracts, and their respective trip patterns. Next steps would include additional data collection and analysis as necessary, refinement of the draft plan to incorporate additional analysis and guidance received, and presentation of the draft plan to the technical advisory committees. Following review and necessary revisions, we would seek Board approval with the technical committees recommendation. Since this plan merely studies park and ride lot priority areas for possible future implementation, it would be exempt from CEQA as a feasibility and planning study under Section of the CEQA Guidelines. We expect that we would return to the technical advisory committees with the revised plan in early 2014 for Board adoption later in the spring. This agenda item seeks TPAC and TTAC discussion and guidance on the project and next steps. Attachment 1 outlines the preliminary project schedule. DISCUSSION: A. Purpose of Plan The purpose of the Park and Ride Plan is fundamentally to study where park and ride lots are most needed to meet current and expected future demand, in order to facilitate commute trips by shared ride (carpool) and transit, and how park and ride lots fit into the overall regional transportation system. To accomplish this purpose, the plan would do the following:

2 1. Analyze pertinent literature to provide a framework for supporting the plan, including identifying generalized goals. 2. Create an inventory of existing facilities and recommend potential capital improvements. 3. Identify priority areas for new park and ride lot development, consistent with the adopted RTP-SCS, based on analysis of aggregated commute sheds, census tracts and blocks, their respective trip patterns, transit routes and other identified selection criteria. The analysis would primarily rely on 2011 Longitudinal Employer-Household Dynamics (LEHD) and Mode to Work Data ( ACS), with potential integration of TAZ-level Census Transportation Planning Package (CTPP) data when that dataset is available. 4. Designate general standards for park and ride lot design. The plan would not commit to development of specific sites as a park and ride lots, but rather to identifying priority areas where park and ride lots might best be sited to meet commuter needs. The focus of the plan is on the North County, which is the part of the region where the majority of commute trips originate. The South Coast area (the City of Santa Barbara, specifically) is primarily a destination for commuters and therefore only has commuter destination lots present. This origin-destination imbalance highlights the need for a park and ride plan. B. Plan Status and Prior Work Substantial work previously accomplished includes research and literature review, an inventory of existing P&R facilities in Santa Barbara County and its commuter shed, including southern San Luis Obispo County and northern Ventura County, and a preliminary evaluation of the existing P&R facilities in Santa Barbara County. In developing the Park and Ride Plan, SBCAG staff made field visits in August 2009 to the P&R facilities. Staff also met with local agencies to evaluate the conditions of current P&R facilities and to learn more about any plans or needs for new facilities. SBCAG staff also distributed surveys under vehicle windshield wipers during site visits to P&R facilities in Santa Barbara and Ventura Counties in August Ventura County Transportation Commission (VCTC) staff distributed surveys on vehicles at additional P&R facilities in Ventura County in September SBCAG staff surveyed members of the Technical Transportation Advisory Committee (TTAC), Santa Barbara County Transit Advisory Committee (SBCTAC), and P&R Plan Internal Working Group to determine which P&R facility amenities are most important in Santa Barbara County; the results of which are summarized below. This information will be incorporated into the final P&R plan. Extensive work was put into a draft document, but it was not ready to be shared with the advisory committees or the public. The draft document includes the majority of the literature review, including lot inventory and site visit summarization, windshield survey results, facility improvement criteria, description of existing commute patterns, and evaluation of optimal park and ride lot locations. This previous work will provide a basis for further development and refinement of the study. C. Existing Park and Ride Lots A current list of the existing park and ride (P&R) facilities in Santa Barbara County is shown in Figure 1 and Table 1. SBCAG notes that as of March 6, 2012 the P&R lot on Ocean Ave in Lompoc is officially closed. It is shaded in Table 1.

3 FIGURE 1: EXISTING FACILITIES SANTA BARBARA COUNTY TABLE 1: EXISTING P&R FACILITIES SANTA BARBARA COUNTY Name City/Community Location Avenue of Flags (South) Buellton Avenue of Flags, south of Hwy 246 Ocean Lanes Bowling Alley Lompoc 1420 E. Ocean Ave (7th and Ocean/Hwy 1) Clark Avenue NE Orcutt Clark Ave and Rte 135, northeast quadrant Clark Avenue NW Orcutt Clark Ave and Rte 135, northwest quadrant Clark Avenue / 101 Orcutt Clark Ave and Rte 101, east side Santa Ynez-246/154 Santa Ynez Rte 154 and Rte 246 There are also two commuter parking lots in downtown Santa Barbara. These facilities are shown in Table 2 and on Figure 1 (above). TABLE 2: COMMUTER PARKING LOTS CITY OF SANTA BARBARA Name City/Community Location Carrillo Lot Santa Barbara Carrillo and Castillo Cota Lot Santa Barbara Cota and Santa Barbara In addition Clean Air Express riders park in the lots shown in Table 3. These facilities are also shown on Figure 1 (on previous page).

4 TABLE 3: CLEAN AIR EXPRESS P&R FACILITIES Name City/Community Location Clean Air Express P&R Lot Lompoc W. Cypress Ave between I Street and J Street Clean Air Express P&R Lot Santa Maria Hagerman Softball Complex on Skyway Drive In 2009, SBCAG surveyed members of the Technical Transportation Advisory Committee (TTAC), Santa Barbara County Transit Advisory Committee (SBCTAC), and P&R Plan Internal Working Group to determine which P&R facility amenities are most important in Santa Barbara County. The results are presented in Table 4 below. TABLE 4: P&R FACILITY CRITERIA Very Important Criteria Number of "1" Rankings Auto Capacity: Total # Spaces Distance from Major Highway(s) Transit Routes Serving Facility Access Convenience, Both Directions Lot Identification Signage Proximity of ADA Spaces to Transit Striping Lighting Directional Signage Auto Capacity: # ADA Spaces SBCAG will continue to focus on these ten criteria in preparing the Park and Ride Plan unless instructed otherwise. D. Analytical Methodology Further work since the postponement has included an analysis of recent commute patterns within Santa Barbara County, with the aim of identifying those areas that are underserved and where development of new facilities should be prioritized. The analytical methodology followed by staff includes the following steps: 1. Review relevant literature for guidance on park and ride lot planning. 2. Evaluate LEHD commute data by census tracts and then census blocks to determine major commute trends, including number and direction of travel. 3. Compare LEHD commute data with existing park and ride lots using overlays to determine general areas where additional lots are needed. Overlays include transit

5 routes, ACS-derived carpoolers and other selection criteria to provide more geographical specificity. 4. Analyze TAZ-level CTPP data when it becomes available in the future. The analysis relies on presently available Mode to Work data ( ACS) and 2011 LEHD data, but will be augmented with CTPP data as soon as it is released. (Release is expected soon.) ACS Mode to Work data gives the location of current carpoolers by residence. LEHD data shows trip origins and destinations and thus direction of trips. The CTPP data will give both mode share and origin and destination information. Thus data is currently or will soon be available covering four, relevant variables: (1) number of person-trips, (2) location of trip origins (and destinations), (3) trip direction and (4) trip mode. This information will be valuable in determining areas of highest existing and latent commuter demand. It should be noted that, while it depends on assumptions about future population allocation and growth, analysis of expected future demand for park and ride lots can be assumed largely to replicate analysis of current demand, at least in terms of basic trip patterns. If the RTP-SCS future baseline growth pattern is assumed as the basis for expected future demand, it is based on existing growth patterns extrapolated into the future. Therefore, the analysis of existing trip patterns would also serve as a good indicator of future patterns (although number of trips would increase). If instead the RTP-SCS preferred scenario serves as the forecast, it drastically reduces additional intercity trips, but leaves existing trip patterns in the North County largely unchanged. Therefore, under either growth scenario, the demand for new park and ride lots can be evaluated based on existing needs, since existing trip patterns are a good indicator of future patterns, if not number of trips. As a result, SBCAG staff will rely in its analysis principally on data about existing trip patterns and demand. E. Identification of Priority Areas for New Park and Ride Lots Staff has completed the inventory of existing facilities and a preliminary analysis of commute sheds, census tracts and trip patterns. As a next step, we will refine our analysis based on available information and feedback from the technical advisory committees and incorporate this analysis into the draft plan. Available data and the staff analysis so far are described in detail in Attachment 2. Based on the analysis, we will ultimately recommend priority areas for park and ride lots and/or expansion of current lots. The available Mode to Work data shows that the City of Santa Maria has the highest raw number and percentage of commuters presently using shared ride/carpool opportunities, followed by Lompoc area, and finally the Orcutt area. This data indicates existing and latent carpooling demand by area. The LEHD data shows which census tracts in the Lompoc and Santa Maria areas are the greatest generators of commute trips outside of their respective boundaries. Figure 2 and Figure 3 below show ACS dot density maps of carpoolers in the Santa Maria and Lompoc areas. These carpoolers are shown in relation to existing Park and Ride and Clean Air Express lots. Each black dot represents ten carpoolers. Additionally, both local and interregional transit routes are shown.

6 Additionally, the results of the LEHD commute data analysis down to the census tract level are shown in Figure 4 and Figure 5 for the Santa Maria and Lompoc areas. This data reveals that tracts 20.07, 23.06, in Santa Maria, tract in Orcutt, and tracts 27.02, 28.02, in Lompoc (the census tracts shaded in pink in the maps) are responsible for the greatest share of workers leaving the areas. These tracts account in each of these urban areas for 33%, 29%, and 45% of all workers leaving the area. Existing Park and Ride and Clean Air Express lots as well as both local and interregional transit routes are also shown on these maps. FIGURE 2: ACS DATA CARPOOLERS LOMPOC AREA

7 FIGURE 3: ACS DATA CARPOOLERS SANTA MARIA AREA

8 FIGURE 4: LEHD CENSUS TRACT DATA LOMPOC AREA Selected Census Tract Workers Leaving Area Selected Census Tract Leaving Area vs. Total Leaving Area (%) Census Tracts South North East All Directions South North East All Directions 27.02, 28.02, , % 41.27% 44.73% 44.91%

9 FIGURE 5: LEHD CENSUS TRACT DATA SANTA MARIA AREA Selected Census Tract Workers Leaving Area Selected Census Tract Leaving Area vs. Total Leaving Area (%) Census Tracts South North All Directions South North All Directions 20.07, 23.06, , , % 31.54% 33.00% % 27.76% 28.58%

10 F. Project Schedule and Next Steps The purpose of this report is to update the committee on the status of this project and seek further guidance from committee members on the process and next steps. Attachment 1 provides the preliminary project schedule. With comments from this committee, staff will drill down to a finer level of detail available from the LEHD and CTPP and have a preliminary draft plan by the February committee meetings. ATTACHMENTS: 1. Project Schedule. 2. Longitudinal Employer-Household Dynamics (LEHD) & Mode to Work ( ACS) Data for Santa Barbara County & Selected Commute Sheds/Jurisdictions.

11 Project Workflow: Park & Ride Plan ATTACHMENT 1 Task Prepare staff report to provide status & analytical methodology for plan to advisory commitees Solicit input from advisory committees on staff report Determine whether or not new site visits are needed Update outdated existing lot & data information Prepare Draft P&R Plan Internal Review Incorporate input Prepare staff reports TPAC/TTAC Review of Draft P&R Plan Revise Draft P&R Plan per technical advisory committee input TPAC/TTAC review of Revised Draft P&R Plan Board review of Revised Draft P&R Plan Incorporate input Prepare Final Draft P&R Plan TPAC/TTAC review of Final Draft P&R Plan Board adoption of Final P&R Plan Finalize P&R Plan By End of Month October November November November December December January January February February March March March April April April May June

12 ATTACHMENT 2 Summary of Longitudinal Employer Household Dynamics (LEHD) Data Source: The Longitudinal Employer Household Dynamics (LEHD) program is part of the Center for Economic Studies at the U.S. Census Bureau. Under the Local Employment Dynamics (LED) Partnership, states agree to share Unemployment Insurance earnings data and the Quarterly Census of Employment and Wages (QCEW) data with the Census Bureau. The LEHD program combines these administrative data, additional administrative data and data from censuses and surveys. From these data, the program creates statistics on employment, earnings, and job flows at detailed levels of geography and industry and for different demographic groups. In addition, the LEHD program uses these data to create partially synthetic data on workers' residential patterns. According to a 2007 Federal Highway Administration report FHWA LEHD Overview, Block to Block LEHD transportation origination/destination data can be used in journey to work analysis, both for labor sheds, where residents live and who commute to a given place, or commute sheds (where workers work). Such data can improve travel demand forecasting, improve the ability to more precisely target prospective customers for ridesharing and commute trip reduction marketing, and improve bus route planning and aid in jobs/housing analysis. The LEHD OnTheMap provides a nearly complete enumeration of flows between worker residences and workplaces that even includes flows between low frequency origin destination pairs. As such, it provides a distribution of home to work flows that is much closer to reality than can possibly be obtained from any sampled based data collection method. The LEHD data records provide information on the residence, workplace, and home to work flows between residence and workplace at the census block level of geographic resolution. Census block information can be aggregated to census tracts, transportation analysis zones (TAZs), or any other geographic area that is appropriate for a specific transportation planning or modeling application. It is recommended that LEHD OnTheMap data should be used in conjunction with sample based travel survey data, like the CTPP, to help validate home to work trips, and to develop more complete areawide origin destinations for home based work trips that could be used in travel modeling and other applications.

13 Santa Barbara County Overall LEHD Statistics

14 Summary of County to County Commutes 1. Where Workers are Employed Who Live in the Selection Area:

15 2. Where Workers Live Who are Employed in the Selection Area: Summary of County to City Commutes 1. Where Workers are Employed Who Live in the Selection Area:

16 2. Where Workers Live Who are Employed in the Selection Area: Santa Barbara County City Specific LEHD Statistics

17 Central Santa Barbara County Locations City of Buellton

18 City of Solvang

19 Santa Ynez Valley Aggregated Statistics 7,264 (4.9%) workers are employed in these central areas of Santa Barbara County. 4,533 (3.2%) workers live in these central areas of Santa Barbara County.

20 Lompoc Area Locations City of Lompoc

21 Vandenberg AFB

22 Vandenberg Village Aggregated Statistics 10,264 (6.9%) workers are employed in these Lompoc areas of Santa Barbara County. 15,111 (10.6%) workers live in these Lompoc areas of Santa Barbara County.

23 North County Area Locations City of Santa Maria

24 Orcutt

25 City of Guadalupe Aggregated Statistics 37,106 (24.8%) workers are employed in these North County areas of Santa Barbara County. 46,543 (32.7%) workers live in these North County areas of Santa Barbara County.

26 South Coast Area Locations City of Santa Barbara

27 City of Goleta

28 Noleta Area

29 Isla Vista Area

30 City of Carpinteria

31 Montecito/Summerland/Toro Canyon Area Aggregated Statistics 92,551 (61.9%) workers are employed in these South Coast areas of Santa Barbara County. 69,712 (48.9%) workers live in these South Coast areas of Santa Barbara County.

32 Summary of Commute Sheds North County Subdivisions (Santa Maria & Guadalupe CCDs) Where Workers are Employed Who Live in the Selection Area Where Workers Live Who are Employed in the Selection Area

33 South Coast County Subdivisions (Santa Barbara & Carpinteria CCDs) Where Workers are Employed Who Live in the Selection Area Where Workers Live Who are Employed in the Selection Area

34 Lompoc Subdivisions (Lompoc CCD) Where Workers are Employed Who Live in the Selection Area Where Workers Live Who are Employed in the Selection Area

35 Central County Subdivisions (Solvang Santa Ynez CCD) Where Workers are Employed Who Live in the Selection Area Where Workers Live Who are Employed in the Selection Area

36 LEHD Commute Shed Analysis The City of Santa Barbara is by far the greatest individual employment center in Santa Barbara County with 44,744 workers in The next two individual employment centers are the City of Santa Maria at 32,175 workers and the City of Goleta at 19,006 workers. The City of Santa Maria is by far the greatest individual housing center in Santa Barbara County with 34,722 housed workers. The next two individual housing centers are the City of Santa Barbara at 28,083 housed workers and the City of Goleta and the unincorporated Noleta area at 14,864 and 14,349 housed workers, respectively. The South Coast area experiences an influx of commuters primarily from Ventura County (10,545 or 12.1%) as well as Los Angeles County (6,683 or 7.7%), for a respective total of 17,228 or 19.8%. Conversely, the South Coast experiences an outflow of commuters to Los Angeles County (5,373 or 7.7%) as well as Ventura County (5,210 or 7.4%), for a respective total of 10,583 or 15.1%. South Coast Area Data The South Coast area also experiences an influx of commuters from the City of Lompoc (2,489 or 2.9%), City of Santa Maria (1,861 or 2.1%), and Orcutt CDP (974 or 1.1%), for a respective total of 5,324 or 6.1%. Conversely, the South Coast experiences a small outflow of commuters to the City of Santa Maria (888 or 1.3%). The Santa Maria area experiences an influx of commuters primarily from San Luis Obispo County (6,063 or 15.4%) as well as Los Angeles County (2,415 or 6.1%), for a respective total of 8,478 or 21.5%. Conversely, the South Coast experiences an outflow of commuters to San Luis Obispo County (5,274 or 11.5%) as well as Los Angeles County (4,415 or 9.6%), for a respective total of 9,689 or 21.1%.

37 Santa Maria Area Data The Santa Maria area also experiences an influx of commuters from the Nipomo CDP (1,342 or 3.4%) and the City of Lompoc (1,136 or 2.9%), for a respective total of 2,478 or 6.3%. Conversely, the Santa Maria area experiences a small outflow of commuters to the City of Lompoc (944 or 2.1%). LEHD Census Tract Information Below, Census Tract information for the three North County jurisdictions is shown in detail. Santa Maria City 20.07

38

39

40

41

42

43 24.04 All Santa Maria Census Tracts Orcutt Area 20.05

44

45 All Orcutt Census Tracts

46 Lompoc Area

47

48

49 28.08 All Lompoc Census Tracts LEHD Census Tract Data Analysis The LEHD Census Tract data above allows us to analyze in detail the general commute shed data. Given that the commute shed data tells us that Lompoc and the Santa Maria area are the greatest generators of commute trips outside of their respective boundaries, an analysis of the Census Tracts within these two areas was completed. Census Tract data reveals that tracts 20.07, in Santa Maria, in Orcutt, and 27.02, 28.02, in Lompoc have the greatest share of workers leaving their respective areas. To illustrate the data, Figure 1 and Figure 2 below show those census tracts shaded in red. These two figures also show ACS based carpoolers, existing park and ride or Clean Air Express lots, and local and interregional transit routes. The Census Tract Data to support these figures are shown in Table 1 and Table 2.

50 FIGURE 1: ACS & LEHD CENSUS TRACT DATA SANTA MARIA AREA

51 FIGURE 2: ACS & LEHD CENSUS TRACT DATA LOMPOC AREA

52 TABLE 1: CENSUS TRACT DATA ANALYSIS CITY OF SANTA MARIA Santa Maria City Top Work Destinations Outside of Santa Maria Total Leaving Area Not Including Orcutt Census Santa Total Total Total Total Los San Luis Barbara Lompoc Santa Arroyo Leaving Leaving Leaving Leaving Tract Angeles Obispo Orcutt City City Ynez Goleta Grande Nipomo Area South North East , , , , , , , , , , , , , , , ,998 Total 1,407 1,384 1, ,661 3,653 1,956 5,609 36,455 Total To All Destinations XYZ Travelling South Travelling North Travelling East Top 20 Percent of Each Column

53 TABLE 2: CENSUS TRACT DATA ANALYSIS ORCUTT AREA & CITY OF LOMPOC Orcutt Area Top Work Destinations Outside of Orcutt Total Leaving Area Not Including Santa Maria Census Total Total Total Total Santa San Luis Lompo Santa Arroyo Los Leaving Leaving Leaving Leaving Tract Maria Obispo c City Barbara City Vandenberg Goleta Santa Ynez Grande Angeles Area South North East , , , , , , , Total 3, ,204 1, ,816 8,600 Lompoc Area Top Work Destinations Outside of Lompoc Total Leaving Area Not Including Vandenberg Total To All Destinations Census Santa Total Total Total Total Barbara Santa Vandenberg San Luis Leaving Leaving Leaving Leaving Tract City Maria Goleta Vandenberg Santa Ynez Buellton Village Solvang Obispo Area South North East , , , , , , ,050 Total 1,114 1, ,681 2,026 1,231 1,377 4,634 13,551 Total To All Destinations

54 Mode to Work Data ( ACS) The Census Transportation Planning Package (CTPP) offers a set of special tabulations from the US Census Bureau pertaining to commuting characteristics by place of residence, place of work, and home to work flows. It is a cooperative effort sponsored by the State Departments of Transportation under a pooled funding arrangement with the American Association of State Highway and Transportation Officials (AASHTO). As the largest and most up to date survey of transportation data available, the CTPP is a valuable dataset for transportation planners. A variety of commuting characteristics and transportation profiles are available from AASHTO. Available information includes travel times, mode share, vehicle ownership, and commutes by race, ethnicity, age, and income status. At SBCAG, the CTPP is used for a variety of purposes including, ride sharing planning, and for calibrating and improving the accuracy of our travel demand model. The CTPP is uniquely suited for travel analysis because the data are available at the Transportation Analysis Zone (TAZ) level, which are small geographic areas. Because the sample size of the American Community Survey is much smaller than the decennial census long form, it is more important to understand the potential errors in the tabulated results. These errors have been expressed on the profile sheets as Margins of Error either as a +/ of a count, or of a percentage, using a 90 percent confidence interval. The difference of the two estimates is used to determine if the two estimates are significantly different at 90% confidence level. The last column on the following tables applies this determination of whether the comparisons are statistically valid. The following tables compare the 2000 CTPP and census 2000 data with the ACS. These profiles are available for the county as a whole, the cities (not including Buellton) and unincorporated communities of Montecito, Isla Vista, Orcutt and Vandenberg Village. For the purposes of this analysis, only the cities of Santa Maria and Lompoc, and the unincorporated communities of Orcutt and Vandenberg Village are shown. Countywide public transit use has increased from 2.4 to 3.8 percent. Bike use increased from 2.7 to 3.6 percent, walking increased from 4.0 to 4.6 percent and those working at home increased from 4.6 to 5.8 percent. Other notable changes in local areas include the City of Santa Barbara drive alone category as well as carpooling decreased from 66.1 to 63.8 and 10.1 to 8.5 percent respectively while those who worked at home increased from 5.5 to 7.0 percent. The City of Goleta drive alone category decreased from 75.0 to 69.2 percent. The City of Carpinteria 2 person carpool use decreased from 13.5 to 7.4 percent and increased in biking from 2.3 to 6.1 percent. The City of Guadalupe public transportation use increased from 1.2 to 3.9 percent. The City of Lompoc public transportation use increased from 1.2 to 5.4 percent and walking increased from 2.5 to 4.8 percent. The City of Santa Maria public transportation use increased from 0.7 to 3.4 percent.

55 City of Lompoc Mode to Work CTPP ACS Is Change Significant in Number Percent MOE(+/-) Number Percent MOE (+/-) Number? At Place of Residence Total Workers 15, , Yes Drove alone 11, , No 2-person Carpool 2, , No 3-or-more-person Carpool , No Public Transportation Yes Bike No Walked Yes Taxi, Motorcycle and Other means No Worked at Home No Vandenberg Village Mode to Work CTPP ACS Number Percent MOE(+/-) Number Percent MOE (+/-) Is Change Significant in Number? At Place of Residence Total Workers 2, , Yes Drove alone 2, , No 2-person Carpool No 3-or-more-person Carpool No Public Transportation No Bike No Walked No Taxi, Motorcycle and Other means No Worked at Home No City of Santa Maria Mode to Work CTPP ACS Number Percent MOE(+/-) Number Percent MOE (+/-) Is Change Significant in Number? At Place of Residence Total Workers 29, , ,068 Yes Drove alone 19, , ,101 Yes 2-person Carpool 4, , Yes 3-or-more-person Carpool 3, , ,178 No Public Transportation Yes Bike No Walked No Taxi, Motorcycle and Other means No Worked at Home Yes Orcutt Mode to Work CTPP ACS Number Percent MOE(+/-) Number Percent MOE (+/-) Is Change Significant in Number? At Place of Residence Total Workers 12, , No Drove alone 10, , No 2-person Carpool No 3-or-more-person Carpool No Public Transportation Yes Bike No Walked No Taxi, Motorcycle and Other means No Worked at Home No

56 Summary ACS Mode to Work Data Location Total Number of Commuters Drive Alone Commuters Drive Alone Percent Shared Ride Commuters Shared Ride Percent Lompoc 16,744 10, % 3, % Vandenberg Village 3,012 2, % % Total 19,756 12, % 4, % Santa Maria 39,178 25, % 10, % Orcutt 12,099 9, % 1, % Total 51,277 35, % 11, % LEHD and ACS Mode to Work Preliminary Findings The majority of commuting to the two largest employment centers (Santa Barbara and Santa Maria) from inside Santa Barbara County is from Lompoc coupled with the fact that there exists only one Clean Air Express park and ride lot within the area. This one lot has 152 parking spaces and is for Clean Air Express users. The Lompoc area currently experiences a severe jobs/housing imbalance as it is a bedroom community with ample affordable homes. The Lompoc area lacks quality available jobs and workers are forced to commute outside. The Lompoc area as a whole has 16,823 employees but only 6,827 of those are employed in the area (40.6%). All other major CCD areas in Santa Barbara County have a greater percentage of employees living and working in the same place (Santa Maria at 42.8%, Solvang Santa Ynez at 43.3%, Santa Barbara at 70.5%). The major destinations for Lompoc area workers are CCD s of Santa Barbara (3,190 or 19.0%), Solvang Santa Ynez (2,068 or 12.3%), and Santa Maria (1,517 or 9.0%). The commute mileage from Lompoc to Santa Barbara, Santa Maria, and Solvang Santa Ynez is over 50, 25, and 20 miles, respectively. A park and ride lot could be placed in the City of Santa Maria in an effort to deal with commuters travelling to the South Coast areas and leaving Santa Barbara County. The major destinations for Santa Maria area workers are CCD s of Santa Barbara (2,759 or 6.0%), San Luis Obispo (2,327 or 5.1%), and Arroyo Grande (2,284 or 5.0%). The commute distances from Santa Maria to Santa Barbara, San Luis Obispo, and Arroyo Grande is over 60, 30, and 15 miles, respectively. Currently, there are three park and ride lots in and one Clean Air Express lot the Santa Maria area but all are on the southern Orcutt area end. Additionally, Orcutt accounts for only 21.6% (9,917 of 45,833) of all commuters leaving the Santa Maria area, whereas the City of Santa Maria accounts for 75.8% (34,722 of 45,833) of all commuters in this area, further reiterating that a park and ride lot would be most in demand in the city itself. These three lots have 94 parking spaces total. Expansion of current lots is also a possibility.

57 The City of Santa Maria has the highest raw number and percentage of commuters using shared ride/carpool opportunities. The City of Lompoc comes in second. The Orcutt area has the lowest raw number and percentage of shared ride commuters. This data can be interpreted in multiple ways: 1) The Orcutt area has the highest potential to reduce drive alone commuters. Constructing a new park and ride facility would incentivize this potential reduction. 2) The Orcutt area has the lowest existing demand for park and ride facilities due to resident s unwillingness to drive together with others. Constructing a new park and ride facility would waste limited resources. 3) The City of Santa Maria exhibits the highest shared ride commuters and thus has the highest demand for a well constructed park and ride lot. 4) The City of Santa Maria area has the lowest potential to reduce drive alone commuters given their high existing amounts. Constructing a new park and ride facility would likely reflect small changes. 5) The Lompoc area strikes a balance between the two previous points. It has a potential to incentivize further shared ride commutes but also already has a healthy amount of shared ride commuters.