HomeMy WebLinkAboutNeighborhood Stat Slides_2020 Q3SBStat 2020
Neighborhood Stat
Q3 October 8, 2020SBStat
SBStat 2020
Guidance for a Remote SB Stat Meeting
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residents’ livesImprove
1
4
departmentsEmpower
servicesImprove
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dataFocus on
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These are the SB Stat Program Goals in 2020. These goals serve as a roadmap for departments and guidance from the Mayor on priority areas of focus in 2020
Citywide Performance Management
SBStat 2020
Today’s Agenda
I. Highlights from this past quarter
II. Using data to drive performance
III. Taking action
IV. Celebrating our values
SBStat 2020
Project Brief Description Status
Street Improvement Plan Analyze strategies for prioritization and funding
Neighborhood Health
Indicators Develop a map for internal and/or external use
Trash and Yard Waste
Pick-Up Outreach
Restructure program outreach to reduce cross-
contamination
Vacant Commercial
Property Strategy
Develop joint strategy for identifying and activating
commercial vacant lots
RSVP KPI Reporting Prioritize KPIs and develop reporting structure
Neighborhood Stat Portfolio Summary
Status of SBStat projects in the queue for 2020
Legend Project on schedule Project delayed Project cancelled Project under consideration
SBStat 2020
Using data to drive performance
Diving deep into a few key initiatives being undertaken to improve city performance
SBStat 2020
Street Improvement Plan
•Purpose and Methodology
•Data Analysis
•Financial Analysis
•Reporting
SBStat 2020
Purpose: To articulate short-term (3-year) and long-term (10-year) goals for the City to achieve and monitor
SBStat 2020
Guiding Principles
SBStat 2020
Methodology
•The City owns and maintains 1,258 lane miles of streets (1,073 asphalt + 161 concrete + 24 brick)
•Plan to adopt a more strategic approach for street preservation using data driven decision-making to improve their overall condition
1.Assess the condition of the streets with a non-subjective strategy that is consistent and dependable
2.Using the results of the assessment, determine a maintenance strategy
3.Develop a long-term plan to address street repair in a cost-effective way
Street Assessment
1.Pavement Surface Evaluation and Rating (PASER)
2.Roadbotics
SBStat 2020
PASER Data Analysis
SBStat 2020
Benchmark Data Analysis
SBStat 2020
Brick Street Survey Data
•Administered in August 2020 by online survey tool, SurveyMonkey
•Sent to neighborhood organizations where brick streets exist, including Near Northwest Neighborhood, Chapin Park Historic District, East Bank, Monroe Park, and Near Westside neighborhoods
•Approximately 250 responses collected
•Strongly agreed to brick street preservation
•Mentioned drainage and traffic calming benefits
•High tolerance for slight unevenness
Strategy Roadmap
SBStat 2020
Target for South Bend
Short-and Mid-term: 0% poor, >50% fair, and >50% good
•Based upon the total percentage of poor, fair, and good streets
Long-term: Average citywide PASER of 7
•Eventually shift to focusing on a target average citywide PASER
•Assumes that 0% of City streets are in poor or failed condition
•Based upon desire to increase the current citywide PASER of 6 in response to resident feedback
SBStat 2020
Financial Strategy
The key to a sustainable long-term street financial plan is to allocate more funds to proactive maintenance techniques such as crack sealing, instead of waiting until full street reconstruction is needed.
SBStat 2020
Short-Term Strategy (2021-2023)
The three-year plan in this document is achievable through existing annual City resources available for street repair and planned capital investment (debt).
SBStat 2020
Short-Term Strategy (2021-2023)
SBStat 2020
Long-Term Needs (2023-2030)
•Current street maintenance funding levels are not adequate to maintain PASER ratings into the future.
•Increasing resource allocation to streets maintenance enables the City to maintain and/or improve street conditions in the future.
SBStat 2020
Long-Term Financial Needs
Option 1: Financial needs to achieve a city-wide PASER average of 7 by 2030
SBStat 2020
Long-Term Financial Needs
Option 2: Financial needs to achieve a city-wide PASER average of 7 by 2026
SBStat 2020
Ongoing Reporting
•Street conditions dashboard
•City webpage (draft)
•City Council presentation to discuss bond issue
SBStat 2020
Taking action
Offering policy alternatives, data-based frameworks, and decision points to take action in improving the lives of South Bend residents
SBStat 2020
Next Steps
1.Publicize 2030 Street Improvement Plan
•City webpage and City Council presentation
2.Establish long-term data collection and management strategy
•PASER vs. RoadBotics
Discussion Questions:
•Are there any important considerations and/or pieces of feedback as we
prepare to share this plan publicly?
•Which option(s) for long-term sustainable funding are realistic/preferred?
Taking Action
Street Improvement Plan
The problem
•Need to repair failed roads (1s and 2s)
•Need to establish a short-and long-term repair
strategy
•Need to increase transparency with the public
Available data
•PASER data
•RoadBotics data
•Financial data
Key context •Desire to refocus on residential roads
•Ongoing and COVID-related financial constraints
Decision points for the
Mayor
•Provide feedback on communication strategy
•Provide feedback on long-term financial needs
and preferred long-term funding source(s)
SBStat 2020
Closing out the quarter
Revisiting the Neighborhood Stat Portfolio
Project Status
Street Improvement Plan
RSVP KPI Reporting
Neighborhood Health Indicators Map
Trash and Yard Waste Pick-Up Program
Outreach
Vacant Commercial Property Strategy
Historic investment
Legend
Project on schedule
Project delayed
Project cancelled
Project under consideration
•Do we have clear next steps for the key initiatives discussed today?
•Is the portfolio to the left still accurate? Should the projects next up in the queue be prioritized for next quarter?
•Are there any initiatives/areas of interest that should be added to the portfolio for next quarter?
Questions to close out the quarter
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Project Updates
Sharing updates for ongoing projects
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Economic Impact of COVID-19 on South Bend
Insights from real-time financial data
New Tool
Mastercard data used in an interactive map dashboard to visualize financial spending in retail around the City.
Limitations
•Financial data is only based on Mastercard account holders, not necessarily representative of City at large
•No data available prior to 2018
SBStat 2020
Local Economy Dashboards
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Key Takeaways & Discussion
Feedback and reactions to the dashboard prototypes
Key Takeaways
1.Total retail spending across the City hit a low in April 2020 when it decreased by about 25% compared to April 2019
2.Since May 2020, total retail spending has decreased by about 10 –20% compared to 2019
3.Downtown has realized the most dramatic decreases in retail spending compared to other parts of the City
•Low point, April 2020: a decrease in spending of ~55%
•Since May 2020: a decrease between ~20% –40% compared to 2019
SBStat 2020
Key Takeaways & Discussion
Feedback and reactions to the dashboard prototypes
Discussion Questions
•What do you like about the dashboard prototype? What do you not like?
•How would you like to see this data be used?
SBStat 2020
Celebrating our values
This section highlights exemplary work happening in the City to improve performance that may otherwise go unnoticed
SBStat 2020
GEERS
A collaborative digital inclusion initiative between CoSB, SBCSC, and enFocus
SBStat 2020
Neighborhood Stat
Q3 October 8, 2020SBStat
SBStat 2020
Pavement Surface Evaluation and Rating (PASER) System
Road Quality Evaluation Tool
PASER System
SBStat 2020
Road Quality Evaluation Tool
RoadBotics
•Automated, unbiased road quality analysis using AI (scale of 1-5)
•First assessment occurred August 2018
•New contract signed April 2020
•Most recent assessment completed July 2020
SBStat 2020
Road Lifespan
Project Type Road Type Road Material Years Added
Reconstruction ResidentialAsphalt 20
Reconstruction Arterial Asphalt 15
Reconstruction ArterialConcrete50
Milling (1.5”)Both Asphalt 10
Crack Sealing Both Asphalt4
Liquid Road Both Asphalt 7.5
*Will develop more accurate predictions over time based upon historical data