sustainable affordable housing site selection in san...
TRANSCRIPT
Sustainable Affordable Housing Site Selection in San Francisco
LAc188 Applied Project | Mari Hayashi, Jiechun Lei, Zhida Wang | Dec 11, 2015 Network Analysis
Suitability Analysis
We conduct a general suitability analysis based on
the following criteria: We suggest our clients to build
sustainable affordable housing next to existing roads and
public transit stops to support low carbon transporation.
Additionally, we suggest that sites should be away from
major landmarks and highways to avoid noise, pollution and
for safety concern. In short, all factors are presented below:
Opportunities (Each weight 1):100’ from existing streets
300’ from population > 1500500’ from public transit stops
Constraints (Each weight -1):300’ from landmarks
500’ from existing highways
Geo-Data (TIN) Analysis
It is essential for residents of sustainable affordable housing to have access to facilities and services. Hence, we conduct a service area analysis to find out areas best served by local groceries, health
services including hospitals and general clinics, and educational institutions including elementary and
primary schools. We then assign weight for each feature class and make sure that different travel times are weighed
according to the scale of weight for the final suitability analysis.
The specific weight assignment is shown below:
Travel Time to Groceries(by car, minute)
1 : weight 22 : weight 13 : weight 04 : weight -15 : weight -2
Travel Time to Health Services(by car, minute)
1 : weight 12 : weight 03 : weight -1
Travel Time to Schools(by car, minute)
1 : weight 22 : weight 13 : weight 04 : weight -15 : weight -2
We believe that one of the significant features of sustainable affordable housing is that residents are encouraged to walk or bike more to
promote less carbon emission. However, walking or biking could be difficult in many hills of San Francisco with their steep slopes. As a result, steep slope has become one of the constraint factors in our analysis so
that our clients could avoid areas that are too steep for residents to bike or walk comfortably. After conducting the Geo-Data analysis, we produce
the map above in which the dark green areas represent ideal zones in San Francisco where slope is 0 degree. Accordingly, red areas with slope
greater than 20 degrees are crossed out in our final analysis.
We compose the final suitability map of sustainable affordable housing sites, as shown above, through combining the result of network analysis with the general suitability analysis, and
highlighting areas with slope greater than 20 degree on the suitability map to produce the final map. To sum up, areas presented in dark green in the final map are ideal sites for sustainable affordable housing development, such as the Mission Bay district, the Inner Richmond, and
neighborhoods around the Bernal Heights. It should be noted that some areas that score very high in suitability analysis are eliminated simply because of their steep slopes. We also conclude that
identification of potential residents and application of existing affordable housing suitability models could furthermore narrow down our results, though our findings have already showcased a variety
of choices for real estate developers to consider.
Produced by Mari Hayashi, Jiechun Lei, Zhida Wang Dec 11, 2015
Final Suitability Map for Sustainable Affordable Housing Sites
Flow Chart
Introduction
Clients
Problem Statement
Methods
Conclusion
Sources, Projection & DatumWe collect data from the following sources: Google Earth; U.S. Geological Survey; Metropolitan Transportation Commission Open Data; San Francisco Data Catalog; US
Census Bureau; LA C188 class website.We use the same projection and datum for all maps in this poster-- Geographic Coordinate System: GCS_WGS_1984; Datum: D_WGS_1984.
City & County of San Francisco Mayor's Office of Housing and Community Development
S.F. Housing Development Corporation (SFHDC) A nonprofit developer that builds and manages affordable housing units
City planners have been using GIS to select location to build low-income housing to ensure that the urban poor has equal access to
basic services and resources. In this project, we propose to incorporate sustainability features into affordable housing site selection criteria to help our clients to develop sustainable affordable housing that could further reduce living costs, alleviate burden on the environment, and
improve the public's health.
Our analysis addresses the following research questions:How to find the best locations in SF to develop housing units that are
environmentally sustainable and economically affordable? What are some of the best locations?
After identifying the selection criteria, we utilize three models that are TIN, network and suitability analysis, to generate a final suitability map to answer our questions as illustrated in the flowchart and detailed in
each sub-section.
Travel Time to Schools
Travel Time to Health Services
Travel Time to Groceries