PROPSED TITLE:
The identification of 25
potential sites to construct cell phone towers around the Greater Boston
Metropolitan Area
ABSTRACT
This study will examine the potential for a design of a
project in regards to a wireless phone company who is interested in expanding
their communication network to receive better coverage in the Greater Boston
Metropolitan area of the Commonwealth of Massachusetts. The project will consist of sorting through
many datasets available online via http://www.mass.gov/mgis/massgis.htm
and then downloading key features that may assist in the creation of
geodatabases. Ultimately, this will
align the various analyses of determining which datasets will reveal ideal
locations for the new cell towers.
Furthermore, new developments have boosted the population in and around
Boston creating a greater demand for communication technologies, especially as
the networks are expanding into 4G standards.
MASS.GOV LAYERS
The following layers will establish a base foundation
dataset in order to perform several different types of analyses. Some of these datasets may be repetitive (i.e.
some of the data will be downloaded for awareness) or may only be used as a
reference and not in the actual analyses (which are located immediately below).
BACKGROUND LAYERS:
Aerial photography - USGS Color Ortho
Imagery (2008/2009)
Scanned Reference Maps - USGS
Topographic Quadrangle Images/USGS 1:24,000
Surficial Geology Topographic Base Map Images
Vector Files - Community
Boundaries (Towns) from Survey Points/County Boundaries/State
Outlines/Massachusetts 2000
Urban Boundaries/Zoning/Trains/Building Footprints
(2-D, from Lidar data)/Datalayers from the 2000 U.S. Census:
TIGER Linework (Roads, Railroads, Rivers and Streams, Powerlines, etc.), TIGER
Water Bodies, and TIGER Towns.
RASTER LAYERS
Elevation
VECTOR LAYERS
Census/Statistical Data
- Datalayers from
the 2010 U.S. Census
- Blocks
- Block Groups
- Tracts
Ground Suitability Data
·
Impervious Surface (raster to vector conversion)
- Land Use
(2005)
- Land Use
(1951-1999)
- NRCS
SSURGO-Certified Soils
- Surficial
Geology (1:24,000)
- Surficial
Geology (1:250,000)
- Bedrock
Lithology
- Priority Natural
Vegetation Communities
- Prime Forest Land
- Interior Forest
- Aquifers
- Protected and
Recreational Open Space/Areas of
Critical Environmental Concern/Scenic
Landscapes/NHESP Natural
Communities/BioMap2
Transportation
Other Facilities (merge into one
shapefile)
Topography
- Elevation
(Topographic) Data (2005)
- Elevation
Contours (1:5,000)
- Elevation
Contours (1:250,000)
- Digital
Orthophoto Elevation Points
- Digital
Orthophoto Topographic Breaklines
- Digital Terrain
Model (DTM) Files
- Digital
Elevation Model (1:5,000) from DTM Files
- Shaded Relief
(1:5,000)
Water Features (Merge into one
shapefile)
- Hydrography
(1:25,000)/ DEP Wetlands
(1:12,000) (formerly 1:5,000 Orthophoto
Wetlands and Streams)/Major Ponds and Major Streams
Additional layers can be found at http://wireless.fcc.gov/geographic/index.htm
- it is important to understand the current cell tower infrastructure in
identifying gaps in coverage or where they may lay in regards to more
population density in one area over another.
Also, major thoroughfares need to have consistent connectivity for
travelers as well as be able to handle the influx of users on a cellular
network. This site provides maps showing
FCC licensing data, regulated towers, and market area boundaries. These maps then need to be converted into a
raster file and eventually digitize to extract the generated information on the
map into vector files. Another website I
would extract data from would be www.cloudmade.com. There are no guarantees on what type of data
will be available, but cloudmade.com allows you to download various shapefiles
of landmarks, infrastructure, and other user-generated data that has been
uploaded to openstreetmaps.com.
Acquiring traffic data will also be of value for this project in order
to identify high trafficked areas of cars along major thoroughfares.
METHODOLOGY
There are several types of analyses I would use within
ArcGIS in order to conduct this project.
Proximity analysis is useful in several different ways. First and foremost, in this project the
geographic constraint is 25 miles outside of the Boston city limits. I will create an extent polygon in order to
clip out each of the attributes of my shapefiles that fall outside of this
area. This will allow me to use smaller
datasets and not have to be concerned with highways and schools (including
colleges and universities) outside of the constraint, among many other
shapefiles’ attributes. On the other hand, some of the features are
not necessarily that important by themselves.
For example, there are various types of water features or conservation/recreation
layers that do not need to be standalone files.
Merging these various datasets in order to eliminate unnecessary cluster
is important so there is less data to work with. The important factor as a result is that at
least the water features and conservation layers are captured since building a
cell tower is not an option within these locations. Another type of proximity analysis is buffering. In order to identify build zones, a 1 mile
buffer must be conducted around the MassDOT Roads (attribute: highway)
shapefile and then the lines must be dissolved in case several highways are in
close proximity to one another. In
addition, buffering must be done with a radius of 1 mile around all schools. Once the new shapefiles are generated as a
result of the buffering tool, I will overlay each of the buffer files and
delete from the highway buffer, wherever the school buffer file overlaps to
minimize the amount of ideal locations.
Besides proximity analysis, other types of analyses will be
useful in finding ideal locations for the new cell towers. Towers need to be located in areas where
population density is higher than normal to cater toward the influx of people
utilizing the network. As a result, a population
density analysis must be conducted based from census data. Elevation data can assist in terrain analysis
in order to identify any hills or peaks above and beyond 250’ above sea
level. Once this area is identified, soil
and hydrographic analysis will be conducted in order to determine the ground
suitability for building the tower to ensure it is placed in a strong
foundation. Lastly, since cell towers
need to be in a close proximity to other cell towers, the next type of analysis
I will conduct is a Line of sight analysis to ensure the newly identified
locations are within a certain distance from other towers and there are no
vertical obstructions and to identify the potential cell coverage.
CONCLUSION
The results of this project should determine what areas
within the Greater Boston Metropolitan region are ideal in order to build new
cellular towers. The additional datasets
from the FCC website will help to alleviate any overlapping towers in order to
improve the communications network.
Geospatial data of the amount of users per cell towers in and around the
ideal locations would probably improve this study. Since urban and rural areas have different
needs in regards to cell tower use, towers need to be located in ideal
locations, but since cell towers are known to possibly cause health issues,
towers must stand clear of schools and recreational areas.
LIMITATIONS
This most anticipated roadblock will be the accuracy of all
of the data. Not all the data in the
files being used has been captured in the past year. Therefore, some of the data may be missing
components crucial to a full and complete analysis of identifying ideal
locations. Further research needs to be
done to confirm the validity of all the data.
For example, have any schools closed down since the shapefiles were
generated or have new school been built would be questions that need to be
answered. Also, an urban legend about cell towers is
often told that they cause cancer and serious health risks. Cellular technology is a relatively newer
technology and the health community is unable to confirm this suspicion as of
yet; however, the public still has some reservations about them being erected
nearby to residential areas. Lastly, the
wireless company may have to pay rent for the location of the tower especially
if it’s close to residential areas because of the depreciation of property that
it will affect the neighborhoods the towers are being built around.