Introduction Measuring the quality of life of a landscape requires taking into account numerous...
If you can't read please download the document
Introduction Measuring the quality of life of a landscape requires taking into account numerous environmental, infrastructural, and social factors. Two
Introduction Measuring the quality of life of a landscape
requires taking into account numerous environmental,
infrastructural, and social factors. Two factors that can be used
as indicators of quality of life are the presences of third space
and traditional neighborhood institutions. The phrase Third Space,
coined by urban sociologist Ray Oldenburg refers to places that are
not either home or work. Example of third space include coffee
shops, restaurants, libraries, and bars. Third places can also
significantly contribute to the quality of life of an area because
they facilitate the healthy exchange of ideas and provide a public
venue for civil debate and community engagement. To assess
community strength based on other measures than Third Space, we
looked to other traditional neighborhood institutions: schools
(public elementary, private, and charter schools), pharmacies, and
grocery stores. These are all places where community members come
together due to common needs, and generally places that help
establish a sense of identity within an area. When you talk to a
neighbor about going to the grocery store, they know exactly where
youre talking about. These places also tend to employ community
members (with the exception of schools). Distance from schools is
important because schools are micro-communities within themselves
which have direct ties to happenings in the surrounding community
such as homecoming parades, school boards, etc. Together, these
things can promote a strong community. More options for these
things means more happy people, because everyone can customize
their shopping/school experiences to their own desires. Materials,
Methods, & Data Various GIS tools were used to determine areas
with high densities of third space properties and neighborhood The
tools include: Point Density Euclidean Distance All of the basic
data layers (blue parts to the model) were created from data
retrieved from Business Database, www.referenceUSA.com. These
layers were then analyzed for point density to determine where the
highest concentrations of each type of business are. A buffer with
a radius of 800m (about a half a mile) was placed around each point
for each layer. As these businesses buffers overlap, their value
increases. These values were then standardized and combined. As
each layer interacts with the others, the diversity of Third Space
and Community Institutions options becomes clear. Acknowledgments
UST Department of Geography Dr. Paul Lorah, UST Geography Professor
Annie LHeureux, UST Undergraduate, Dept. of Geography and
Environmental Studies Conclusions The nature of our model clearly
favors the downtown areas of the7 County Metro Area. As our model
focuses on areas of concentrated diversity, this comes as no
surprise. Downtown areas have the highest concentrations of people
in the least amount of space, so naturally they will have the
highest concentrations of Third Space and Traditional Neighborhood
Institutions. Demand is the overall motivator for businesses of any
type, and demand is highest in the city. The diverse cultures and
population density ensure that the areas identified in brown
represent the most likely places for any given person to settle and
enjoy their neighborhood. Still, this does not mean that areas
outside of the city have no diversity or chance of finding a good
neighborhood. As one can see, the value of the area outside the
cities is not zero, there is still plenty of Third Space and
Traditional Neighborhood Institutions in the suburbs, it is just
not as concentrated and therefore not as accessible. As our work is
only a small part of a much larger project and does not attempt to
make any comments on quality of life on its own. Nonetheless, these
are very important factors to consider when attempting to map
quality of life. Fartun Dirie and Nick Ronnei Department of
Geography, University of Saint Thomas Literature cited Scott,
Michael. How Libraries and Bookstores Become the New Community
Centers. New Geography. Last modified January 30, 2012.
http://www.newgeography.com/content/002629-how-libraries-and-bookstores-became-new-community-centers.
Humphreys, Lee. Mobile Social Networks and Social Practice: A Case
Study of Dodge ball. Journal of Computer-Mediated Communication,
no. 13 (2008): pp.
344.http://onlinelibrary.wiley.com/store/10.1111/j.1083-6101.2007.00399.x/asset/j.1083-
6101.2007.00399.x.pdf?v=1&t=he84ieb4&s=956b019f4460ec6e47145bbb3c99294cb9f9c38c
Gill TM, Feinstein AR. A Critical Appraisal of the Quality of
Quality-of-Life Measurements. JAMA. 1994;272(8):619-626.
doi:10.1001/jama.1994.03520080061045. Lisa L Love, John L Crompton,
The Role of Quality of Life in Business (Re)Location Decisions,
Journal of Business Research, Volume 44, Issue 3, March 1999, Pages
211-222, ISSN 0148-2963, 10.1016/S0148-2963(97)00202-6. Future
Research Third space and traditional neighborhood institutions are
one area to consider when examining quality of life. Future
research should also examine other factors such as transportation,
natural amenities, crime and education. Another area of possible
research is to examine the importance of these factors among
different demographics and what quality of life means for them.
Measuring Quality of Life in the Twin Cities: Third Space and
Traditional Neighborhood Institutions Research Question The purpose
of this study is to find areas in the Twin Cities that have a high
density of both third space and traditional neighborhood
institutions using various GIS tools. Models Intermediate Layers
Results