Baltimore-Johns Hopkins University Partnership on Smart Blight Remediation
Michael Braverman Baltimore City Department of Housing and Community Development Tamas Budavari and Phil Garboden Johns Hopkins University
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University Partnership on Smart Blight Remediation Michael - - PowerPoint PPT Presentation
Baltimore-Johns Hopkins University Partnership on Smart Blight Remediation Michael Braverman Baltimore City Department of Housing and Community Development Tamas Budavari and Phil Garboden Johns Hopkins University 1 Presentation overview
Michael Braverman Baltimore City Department of Housing and Community Development Tamas Budavari and Phil Garboden Johns Hopkins University
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challenges
to meet data needs
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Boarded up vacants
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mapping system, CodeMap
from our internal business systems that track vacant property notices and code enforcement interventions, and from the State Department of Assessments & Taxation, along with a host of other context data
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Streamlined Code Enforcement Community Development Cluster Demolition Cluster
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VACANT BUILDINGS, OCTOBER 2008 (176)
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CITY DISPOSITIONS (24 VACANT BUILDINGS; 55 VACANT LOTS)
RECEIVERSHIPS FILED (70)
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DEMOLITIONS (21)
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VACANTS REHABILITATED (140) OR UNDER PERMIT (13)
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AFFORDABLE HOUSING REHABBED OR BUILT (MORE THAN 600 UNITS IN GREENMOUNT WEST AND BARCLAY)
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NEW VACANT BUILDINGS (20)
VACANT BUILDINGS, NOVEMBER 2017 (40)
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COMPARE TO: VACANT BUILDINGS, OCTOBER 2008 (176)
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Vacant Buildings in Middle Markets 1/1 of Each Year
Many properties that were likely unoccupied 1.5 years ago have now become vacant.
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1800 block of Lauretta Based on an imperfect water data proxy, the two non-VBNs on the south side of this block are likely to be
demolition may be more affordable than it would otherwise appear.
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2000 block of Harlem Among many vacants, it might not be
demolished without building any walls, but for GIS analysis.
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Using data to identify end of group properties that may present an imminent danger, and demolishing those that present a safety risk.
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End of Group (EOG) Emergency Demolition
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Poverty and Inequality Research Lab Johns Hopkins University Funded by the Annie E. Casey Foundation