Agenda 03-15-22; 8-a - Minutes - Laserfiche WebLink

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21 1 Slide#17 Wrap Up * General findings: a Nonresidential at default value assumptions typicallygenerates positivef seal results a Retail generates the highest positive fiscal results of nonresidential land uses o Certain residential development at high enough values generates positive fiscal results a The model should be viewed as a tool o Results and findings do not have a direct relationship in the UDO • One piece of information among many to evaluate a project o Other non-fiscal factors should be considered when making land use decisions such as: job creation,jabs-housing balancelcommute times,economic benefit of local spending from increased income * Q&A 2 TlschlerBlse 3 Julie Herlands said there are many other factors besides the model that should be taken 4 into consideration when determining land uses. 5 Commissioner Hamilton said she appreciates the last slide highlighting that the model is 6 only one piece of information that goes into decision-making and is limited to fiscal impact. She 7 asked how jobs are factored in the model capture for cost and revenue. 8 Julie Herlands said there are services within the county purview of services that are 9 provided to the non-residential sector. She said that some cost factors are driven by the 10 presence of jobs. She said that it becomes a demand generator that then captures the effect of 11 customers. She said that public safety is an example of a cost. She said there is a portion of 12 costs and revenues that are generated and driven by employment growth. 13 Commissioner Hamilton said it sounds like a broad category, since there are different 14 types of businesses and employment. She asked how they can be sure the variable is 15 accurately capturing the cost. 16 Julie Herlands gave a public safety example to answer Commissioner Hamilton's 17 question. She said that the law enforcement side includes calls for service for residential and 18 non-residential development. She said those numbers are then used to estimate demand based 19 on vehicle trips that are generated today. She said that the model assumes that these will 20 continue in the future. 21 Commissioner Hamilton asked how the commissioners could be sure this model creates 22 coefficients that lead to a model that fits well. 23 Julie Herlands said the intent is not to get an output/dollar amount someone is costing 24 the county. She said it is the relationship between the revenues generated from the land use 25 and the consumption of services. She said that part of this is engaging in a process with 26 service providers to understand where the pressure points are. She said not every cost is 27 affected by development. She gave examples of service calls based on type of land use and 28 how that develops an average cost estimate. 29 Craig Benedict said that he did previous work like this in Florida, and they had certain 30 general assumptions for costs of service by department. He said those model inputs were then 31 tested against actuals. He said they asked the police department if they were responding to the 32 new developments at the same rate that they had assumed when they started the program. He 33 said that they found out that the newer, multifamily, and higher end multifamily did not have as 34 many police calls for service as had been estimated. He said they also found that the school