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proposed warehouse space would generate an estimated 120 daily vehicle trips. In addition, an estimated 20 daily truck trips would be generated by the proposed project for product and resource delivery. The draft traffic volume data also showed that the proposed project’s generated traffic volumes would be reduced through the use of nearby transit facilities by an estimated 140 daily vehicle trips, resulting in an estimated 4,520 new daily vehicle trips. Therefore, the daily vehicle trip generation rate for the general office building land use in the model for the proposed project was adjusted to 21.83 average daily vehicle trips per 1,000 square feet to ensure that a total of 4,520 vehicle trips were represented in the model. The daily vehicle trip generation rate for unrefrigerated warehouse‐no rail land use was adjusted to 1 average daily vehicle trips per 1,000 square feet to ensure that a total of 20 daily truck delivery trips were represented in the model. For the 4,520 daily vehicle trips represented by the general office building land use in the model, the fleet mix was adjusted to represent a 50/25/25 proportional division between light‐duty auto (LDA), light‐duty truck type 1 (LDT1), and light‐duty truck type 2 (LDT2), respectively, as these trips would be generated by employees traveling to and from the project site. For the 20 daily truck delivery trips represented by the unrefrigerated warehouse‐no rail land use in the model, the fleet mix was adjusted to represent a 50/50 proportional division between medium heavy‐duty trucks (MHDT) and heavy heavy‐duty trucks (HHDT). For existing land uses, the draft traffic volume data estimates that the existing regional shopping center which the proposed project would demolish generates an estimated 840 daily vehicle trips. Therefore, the daily vehicle trip generation rate for regional shopping center land use was adjusted to 5.14 average daily vehicle trips per 1,000 square feet to ensure that a total of 840 daily vehicle trips were represented in the model. Note 10. Due to the unique nature of the proposed project, electricity and natural gas consumption rates for the proposed project were adjusted to reflect the consumption rates experienced in the existing 10x Genomics facility. Electricity and natural gas utility meter data for the existing 10x Genomics facility for March 2018 through April 2019 were utilized to estimate the anticipated electricity and natural gas consumption rates for the proposed project. Please see the Utility Calculations sheet contained in this Appendix for more information. Note 11. According to Applicant‐provided information, dated October 22, 2020, and revised January 6, 2021, the proposed project would include one back‐up diesel generator rated at 755 horsepower. The generator is assumed to be diesel‐fueled and is anticipated to operate an annual hourly average of 8 hours/year for testing and maintenance purposes. Note 12. Pacific Gas and Electric’s (PG&E) 2030 CO2 intensity factor is derived from an assumed 2030 power mix based on equal proportions of generation sources in 2017. The only factor that has been uniquely adjusted for 2030 is the change of eligible renewable energy sources total proportion from 33% to 60% to comply with Senate Bill 100's 2030 performance goals. Based on known factors for PG&E’s 2017 CO2 intensity factor, a proximate CO2 intensity factor of 184 pounds per megawatt‐hour delivered was identified for 2030. Please see PG&E Intensity Factors in Appendix A of this report for more information. Appendix A Page 12