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Miami Valley Land Suitability Assessment – Built Environment Factors
Board of DirectorsSeptember 4, 2008
Martin Kim, Director of Regional Planning
Study Overview
To assess Region’s landscape from a built environment perspective as part of “Going Places: An Integrated Land Use Vision for the Miami Valley Region” Provide a region-based comprehensive overview of
Region’s man-made landscape – identify where opportunities and constraints exist in the Region
Identify locations within the Region that are better suited for physical development than others
Study Area Greene, Miami and Montgomery counties and cities of
Carlisle, Franklin, and Springboro in Warren County
Land Suitability Assessment
Land Suitability Assessment (LSA) is a process for evaluating the suitability of land for development Identify locations within the planning area that are best suited to particular
types of land use based on land characteristics
MVRPC LSA Built Environment Factors Study Focused on built environmental factors Compiled various built environment data into one regional dataset and
conducted technical analyses Developed a land suitability scoring system (Residential and Non-
Residential Independently) Developed a systematic approach of aggregating each suitability score into
a total suitability score (Residential and Non-Residential Independently) Developed Built Environment Residential and Non-Residential Suitability
Measures presented as two composite maps Conducted comparative analysis to compare the results from Residential
and Non-Residential suitability measures
Built Environment Factors
Public Infrastructure Provision Fire Protection Services Public Wastewater Services Public Water Services Transportation Network
Connectivity
Accessibility Educational Amenities Major Thoroughfare Access Other Amenities Public Transportation Services Recreational Amenities Retail Clusters
The study identified 15 built environment factors covering 4 dimensions of:
Existing Land Use Industrial Clusters Job Clusters
Limitations Airport Noise Potential Environmental Hazards Restricted Development Lands
Definition Importance
Data Development Process
Data Sources Data Findings
Built Environment Suitability Measure Development
2 1 1 3 1 1 5 2 2
2 2 1 3 3 1 5 5 2
1 1 1 1 1 1 2 2 2
Sum of VariablesVariable 1
+ =
Variable 2
Conceptually, the Built Environment Suitability Measure was generated by overlaying spatial data representing the Suitability Scores of all 15 factors.
However, two separate Suitability Measures were developed – One for the Residential and the other for the Non-Residential
Land Suitability Score System Example
Built Env Factors
Data Attributes
Suitability Measures
Attribute Score
Weight Factor
Suitability Score
Educational Amenities
Good Access Suitable 5
3
15
Medium Access Somewhat Suitable 3 9
Poor Access Not Suitable 1 3
Fire Protection Services
Inside Serv Area Suitable 5
3
15
Outside Serv Area Not Suitable 1 3
Job ClustersInside Cluster Suitable 5
210
Outside Cluster Non Suitable 1 2
Restricted Development
Lands
Non-Restricted Site Suitable 5 4 20
Restricted Site Not Suitable 0 0
Built Environmental Residential Suitability Measure
Land with high development potential for residential development is characterized as: Located outside airport noise impacted areas, potential
environmental hazardous, industrial clusters, and restricted development lands
Having good access to the Region’s various amenities such as educational, recreational, and other amenities
Having adequate public wastewater, water, and fire protection services
Having certain levels of transportation network connectivity and access to major thoroughfare, public transportation services, and job clusters
Built Environmental Residential Suitability Measure
Built Environmental Non-Residential Suitability Measure
Land with high development potential for non-residential development is characterized as: Located outside potential environmental hazards and restricted
development lands Having good access to major thoroughfare and adequate public
wastewater and water supply system Having close proximity to existing industrial clusters, job
clusters, and retail clusters with good transportation network connectivity
Having certain levels of access to educational and recreational amenities and public transportation and fire protection services
Built Environmental Non-Residential Suitability Measure
Comparative Analysis
Conclusion
The study offers various information at the regional level raising the awareness of the Region’s built environment
The entire Region will benefit if development is planned and executed in a manner that takes full advantage of our existing infrastructure
Although each municipalities have its unique constraints and opportunities, land use decisions at the local level need to consider how the decision impacts its own municipality but also the entire Region
Study Report and GIS Data
Study report will be made available early September at www.mvrpc.org/rlu
GIS data will be added to GIS Online Planning Support System early September at maps.mvrpc.org/regis/
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