data driven decision making: city of cleveland’s

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Timothy F. Kobie, PhD SC2 Fellow City of Cleveland October 21, 2014 DATA DRIVEN DECISION MAKING: CITY OF CLEVELAND’S DEPARTMENT OF BUILDING & HOUSING

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Page 1: DATA DRIVEN DECISION MAKING: CITY OF CLEVELAND’S

Timothy F. Kobie, PhD SC2 Fellow City of Cleveland October 21, 2014

DATA DRIVEN DECISION MAKING: CITY OF

CLEVELAND’S DEPARTMENT OF BUILDING & HOUSING

Page 2: DATA DRIVEN DECISION MAKING: CITY OF CLEVELAND’S

Data & Data Systems Accela Permits, inspections, complaints, violations, demolitions Accela Citizens’ Access

NEOCANDO/NST Accela data to NST once a week

Data Analysis SMART Objectives CitiStat SC2 projects Demolition Prioritization CDC Code Partnership Bulk Holders

Vacant & Distressed Estimate Crime & Demolition

OUTLINE

Page 3: DATA DRIVEN DECISION MAKING: CITY OF CLEVELAND’S

Built around workflow Each process has a workflow Complaint, violation, demolition, permit, etc.

Workflow steps help to monitor progress Inspection, VN issued, search warrant requested, board up requested, etc.

Data available to public through Accela Citizen Access https://ca.permitcleveland.org/Public/ Check on complaints, violation status, etc. Work is being done on a house, were permits pulled? Rental registration

B&H DATA & DATA SYSTEM

Page 4: DATA DRIVEN DECISION MAKING: CITY OF CLEVELAND’S

Alternative Way to Access B&H Data http://neocando.case.edu/nst/

Use requires permission from NST staff B&H data is sent to NST staff once a week Therefore, data is approximately a week old

Other data available on NST County Fiscal Office Foreclosure Sales County Land Bank CDC USPS

NEOCANDO & NST

Page 5: DATA DRIVEN DECISION MAKING: CITY OF CLEVELAND’S

SMART Objectives Service level agreements (SLAs) for certain actions Are inspections and follow ups happening in a timely manner?

Monthly meetings to monitor progress CitiStat Looks at SLAs at the department level Allows tracking of progress over time Also looks at challenges related to budget, staffing, specific projects

and department upgrades

B&H DATA ANALYSIS: NON-SC2

Page 6: DATA DRIVEN DECISION MAKING: CITY OF CLEVELAND’S

Demolit ion Prior it ization CDC Code Par tnership Bulk Holder Taskforce

SC2 PROJECTS

Page 7: DATA DRIVEN DECISION MAKING: CITY OF CLEVELAND’S

Neighborhood Data Design Review/Landmark

District Demolition Activity Safety Crime Schools

Investment Economic Development Community Development Main Streets

Property Data Condemnation Date Number of Board Ups Owner

DEMOLITION PRIORITIZATION

Page 8: DATA DRIVEN DECISION MAKING: CITY OF CLEVELAND’S

Geared towards occupied residential structures Survey entire city over a four year cycle CDC works towards voluntary compliance B&H takes action when there is no compliance Data entry

CDCs enter data on inspections and other actions in NST B&H sends data to NST

Report ing Monitor progress by CDCs

Inspections Letters Follow ups Referrals

Monitor progress by B&H Entering referrals as complaints Inspecting complaints Complaints turning into Violation Notices Prosecutions

Benchmarking Starting this process now

CDC CODE PARTNERSHIP

Page 9: DATA DRIVEN DECISION MAKING: CITY OF CLEVELAND’S

Collaboration between B&H, Law, Community Development, Assessments & Licenses, Public Util ities, Collection Agent

Keeps track of bulk holders of real estate and prosecutes the bad actors

Banks, individuals, LLCs Different paths to prosecution Certificate of disclosure Rental registration Failure to correct violation notice Failure to register with Ohio Secretary of State

Collections for nuisance abatement costs Demolition Board Up Grass cutting Utilities

BULK HOLDER TASKFORCE

Page 10: DATA DRIVEN DECISION MAKING: CITY OF CLEVELAND’S

Vacant & Distressed Estimate Crime & Demolition

SC2 RELATED PROJECTS

Page 11: DATA DRIVEN DECISION MAKING: CITY OF CLEVELAND’S

What is true demo need in Cleveland? Know for funding reasons Track over time To not understate or overstate the problem

Data B&H NST

Method Condemnation Board Up Recent Multiple in last three years

Vacant & Distressed Surveys Multiple surveys and/or EVPII

CCLRC future demo 8,300 parcels in August 2013

VACANT & DISTRESSED ESTIMATE

Page 12: DATA DRIVEN DECISION MAKING: CITY OF CLEVELAND’S

Benefi ts of demoli t ion beyond abat ing nuisance Thriving Communities demolition and

property values study Demolit ion Clusters

Space and time Crime Before and Af ter Demoli t ion

Violent Crime On average, citywide violent cr ime decreased

3.28% On average, demo cluster violent cr ime

decreased 7.53% Property Crime

On average, citywide property cr ime decreased 0.46%

On average, demo cluster property cr ime decreased 4.03%

Regression Analys is Demolition variables are significantly

dif ferent from zero Violent Crime

1 demo per day per square mile reduces cr ime by 0.06

Property Crime 1 demo per day per square mile reduces cr ime

by 0.09 Density and Duration are Key

CRIME & DEMOLITION

Page 13: DATA DRIVEN DECISION MAKING: CITY OF CLEVELAND’S

[email protected] 216-664-2036 CONTACT

INFO FOR TIM