September 14, 2011 Nathan Byerly Analysis of Key Employee Demographic and Special Relationships Impacting Commutes.

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Presentation transcript:

September 14, 2011 Nathan Byerly Analysis of Key Employee Demographic and Special Relationships Impacting Commutes

GIS in Public Transportation 2011| Slide 2 | September 14, 2011 Overview Program background and drivers Service area Employee density Distance analysis Demographic trends Route profile Proposed decision making criteria Q&A

GIS in Public Transportation 2011| Slide 3 | September 14, 2011 Genentech in South San Francisco Founded in 1976, Genentech invented the Biotechnology industry 200 acre campus in South San Francisco, CA 4.5 million square feet of office, lab and manufacturing space Average daily population of ~10,000 employees Most employees live in San Francisco and San Mateo counties

GIS in Public Transportation 2011| Slide 4 | September 14, 2011 Business Drivers Recruitment, Retention, Quality of Life Productivity Enabler Carbon Footprint Parking, Master Plan and Capital Expense

GIS in Public Transportation 2011| Slide 5 | September 14, 2011 gRide Today 3,200 out of 9,500 employees are active gRide users/members $2-4 per day cash incentive $4 per rider per day for drivers $120 Transit and Vanpool Subsidy 16 GenenBus routes - 30 Motorcoaches - Over 600,000 riders in 2010 Over 65,000 web page views per month B-Cycle BikeShare Hertz Connect CarShare

GIS in Public Transportation 2011| Slide 6 | September 14, 2011 Service Area 30 GenenBuses serving 16 direct and transit shuttle routes with over 3,000 riders per day Direct routes focus on areas with poor or no public transportation, high density neighborhoods in San Francisco, long, arduous commutes, and expensive bridge tolls

GIS in Public Transportation 2011| Slide 7 | September 14, 2011 Employee density Density focused in San Francisco and San Mateo counties 75% of employees live within 20 miles of SSF campus

GIS in Public Transportation 2011| Slide 8 | September 14, 2011 Overall participation by route Routes with high utilization tend to be in San Francisco and the East Bay Non-participants tend to live close to the SSF campus and have very short commutes

GIS in Public Transportation 2011| Slide 9 | September 14, 2011 Commute time distance comparison Commute time is similar for participants and non- participants Drive distance follows a similar pattern for participants and non-participants

GIS in Public Transportation 2011| Slide 10 | September 14, 2011 Tapestry segmentation Tapestry segmentation is very similar for both groups Non-riders do not share International Marketplace, Pleasant-Ville, or Top Rung Riders do not share Enterprising Professionals, Suburban Splendor, or Boomburbs

GIS in Public Transportation 2011| Slide 11 | September 14, 2011 Tapestry segmentation attributes Pacific HeightsLaptops & LattesUrban Chic Upscale neighborhoods in Pacific coast cities Primarily married couples w/- children College educated Dual income Median home value $470K Major metro areas like SF Single or with roommate Cosmopolitan and hip College educated Median home value $634K Sophisticated exclusive lifestyles Married couple families Well-educated Dual income Median home value $536K

GIS in Public Transportation 2011| Slide 12 | September 14, 2011 Cupertino route analysis Drive time average 77 min. Average drive distance 31 miles Employees on this route tend to be have more IT related jobs Active users tend to be clustered Both users and non users share the same top five tapestry groups

GIS in Public Transportation 2011| Slide 13 | September 14, 2011 Decision making criteria Drive time Drive distance Special corridor conditions Segmentation attributes Wild cards

GIS in Public Transportation 2011| Slide 14 | September 14, 2011 Q&A