Professional Services Agreement - Urban3 LLC - South Bend Cost Study

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CITY OF SOUTH BEND COST STUDY - PHASE 2 3 South Bend City Staff time: 2 days Task 2 Deliver7le: PowerPoint C��raFt P�eport on analysis 6iindungs Task 3: Cost Allocation A. Distributing Costs Urban3 will collaborate with South Bend staff to identify differential costs along the transportation system, and the magnitude of different costs to distribute. Once Urban3 and city staff agree on the assumptions and metrics, our analyst will assign costs to different areas or properties. Urban3 staff will work with South Bend staff to create a reasonable set of documented criteria that can be adjusted to fit different or changing information or assumptions. Once the distribution factors are assembled Urban3 will distribute the infrastructure life- cycle cost with a series of weighted scores. The individual cost factors serve as valuable metrics of the relative importance and exclusivity of public infrastructure. The analysis will determine how well each segment of road serves the overall community. B. Network Math Urban3 will allocate spatially relevant costs based on the exclusivity, access, and connectivity of different locations with regard to the shape and interconnectedness of the transportation and utility networks (pending data availability). This will involve analyzing the network and calculating network metrics (network math and centrality). Two important implications of the network math analysis are measuring the impact of dead end streets and identifying the relative importance of different parts of the network. C. Other Metrics The network math variables are the core of the analysis, however there are additional relevant metrics to consider. These metrics describe either attributes of the transportation network or the configuration of individual properties. Other metrics include, but are not limited to: parcel frontage, distance to jobs, dead end streets, quantity of road area in a neighborhood, and area WalkScore. Urban3's analysis requires purchasing WalkScore data to measure potential alternatives to driving at each property. In addition to its role as a cost distribution factor, the WalkScore data provides an opportunity to analyze the relationship between walkability and the concentration, or lack thereof, in property values.