Ada LingJun Peng Fall GIS FINAL PROJECT

 Research Background and Question  Data Collection and Sources  Maps and Skills utilized  Major Findings

 U.S. housing foreclosure crisis from 2007 to 2009: huge direct and indirect financial and social impacts  Main causes: Deregulation of mortgage loans, high percentage of high risk lending  Reform Fannie Mae and Freddie Mac, Neighborhood Stabilization Program (NSP) and etc.  Micro level: homeowners and renters, neighborhoods and communities  Need and capacity at the local level in terms of preventing foreclosures, providing assistance and mitigating the impacts of relevant households  Urban spatial structure: the complex relationship among the locations of population, economic and social characteristics and activities (such as housing, racial diversity and employment experience), physical networks, and etc.

 Do the existing housing counseling agencies in Los Angeles County have a good service coverage? What is the next step?  Identify areas that need most help in terms of prevention and assistance  Propose optimal locations for additional counseling agencies  Examine social, economic and demographic data of the new service area to provide insights on designing the services provided and staffing of the new agencies

Foreclosure data  estimated_number_foreclosures estimated count of foreclosure starts over 18 months from Jan 2007 through June  estimated_foreclosure_rate - number of foreclosure starts divided by number of mortgages times 100.  Mortgage Bankers Association National Delinquency Survey, estimated by the HUD model  *Original Data

 Operation Hope,INC (English, Spanish)  Shalom Center for T.R.E.E. of Life (English Only)  NID-HCA (English Only)  West Angeles Community Development Corp. ( English.)  East Los Angeles Community Corporation (ELACC) (Spanish)  Korean Churches for Community Development (Korean)  Los Angeles Neighborhood Housing Services (English, Spanish)  ClearPoint Credit Counseling Solutions (English, Spanish)  New Economics For Women (English, Spanish) Source: ources.htmlhttp://housing.lacounty.gov/ForeclosureRes ources.html *original data

 Racial Majority Index Majority defined as the group having the largest percentage of total population White alone Asian-Pacific Islander alone Black alone Hispanic Having two or more races Some other race alone

 Index of “the Needy”  Percent of families below poverty line-- 50%  Percent of population having less than high school education-- 50%

 Problem:  Find the most suitable location for additional housing counseling centers  Parameters : (equal weight)  Supply: Far from existing centers  Needs: # of foreclosures  Index of the Needy (social, economic factors)  Identify the area with the greatest need for additional housing counseling agencies

 Located the detailed locations based on geographic information in the top 2 hot spot areas

 Build model  Convert to Raster  Index and Reclassify  Weight and Index  Hot spot analysis

 Use Geocoding to place the proposed 2 new locations  Use Service Area Analysis to determine the new service area within 15 and 30 minutes drive

Relatively young with a mean age around 30 More female Majority White and Hispanic ~ 10 to 30% foreign born

 Huge spatial disparity in terms of the locations of housing counseling agencies in LA County  Severe need for additional agencies in Lancaster and Palmdale  Social, economic and demographic data provides great insights on the design for new agencies.  Implications: provide both Spanish and English, online services, legal assistance and etc.