Neighborhood Need Index: Using Analytical Hierarchy Process to Evaluate Neighborhood Performance
This research effort develops an aggregate measure – the Neighborhood Need Index (NNI) – to evaluate neighborhood performance and is unique for its robust, objective, and transferable properties. First, multiple indicators are strategically selected to combine public and municipal data from four dimensions: safety, socioeconomic, neighborhood quality, and accessibility. Second, the Analytic Hierarchy Process is applied to objectively rank the importance of each indicator and each dimension. Finally, the individual data are synthesized to create a single metric for each neighborhood that may be used to identify spatial and geographic patterns. As a proof of concept, the methodology was applied in a case study for South Bend, Indiana and the Neighborhood Need Index was successful in identifying underperforming neighborhoods as well as uncovering underlying relationships between disparate data sets.
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Supplemental Notes:
- This paper was sponsored by TRB committee ABC30 Standing Committee on Performance Management.
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Corporate Authors:
500 Fifth Street, NW
Washington, DC United States 20001 -
Authors:
- Chin, Kristie
- James, Rachel
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Conference:
- Transportation Research Board 95th Annual Meeting
- Location: Washington DC, United States
- Date: 2016-1-10 to 2016-1-14
- Date: 2016
Language
- English
Media Info
- Media Type: Digital/other
- Features: Figures; References; Tables;
- Pagination: 12p
- Monograph Title: TRB 95th Annual Meeting Compendium of Papers
Subject/Index Terms
- TRT Terms: Analytic hierarchy process; Data fusion; Methodology; Neighborhoods; Performance measurement; Resource allocation
- Geographic Terms: South Bend (Indiana)
- Subject Areas: Data and Information Technology; Highways; I72: Traffic and Transport Planning;
Filing Info
- Accession Number: 01590342
- Record Type: Publication
- Report/Paper Numbers: 16-3870
- Files: TRIS, TRB, ATRI
- Created Date: Feb 16 2016 3:31PM