For this assignment, I read about a very interesting
application of GIS Network Analysis, which could be expanded and applied to
many needs. As we learned in Intro to
GIS class, ArcMap Network Analysis is well-developed for use by all kinds of
motorists, and especially useful to emergency personnel such as EMT’s, the
police, and firefighters to plan the most efficient route among any number of
destinations or stops. While planning
out a route, it incorporates various forms of impedance to traffic flow, such as stop
signs, speed limits and one-way streets.
The authors of this article realized that people in
wheelchairs face impedance every day, in the form of stairs, rough pavement
and curbs, as they try to navigate around their cities. Their goal was to develop a mapping
application to help people in wheelchairs easily plan the best routes. The researchers manually digitized the
center-lines of sidewalks in the city of Northampton, UK, then incorporated
DEM's to obtain slope for separate segments of the routes. At this point, Event Tables were developed
from field work, which measured surface quality (starting and rolling
resistance), and the presence of any type of obstacle that might frustrate a
wheelchair user: steps, gutters, raised
manhole covers, fixed furniture, narrow sidewalks, and several more. This latter part of the field survey was
actually carried out in the company of disabled volunteers in wheelchairs, who
helped the researchers identify impediments.
The application was developed in ESRI’s ArcView (the
precursor to ArcGIS for Desktop Basic) and featured a user-friendly
interface. The routes were calculated by
considering impedance or “cost” with the network analysis environment as well
as user physical ability and type of wheelchair. Two modes of route selection were offered via
dialogue boxes: a single best route from one location to another, or all
wheelchair-suitable routes from a starting point.
The authors tested their map application with 18 wheelchair
users in that city and got very favorable reviews about its usefulness and
clarity.
This type of network analysis would be very useful in any
area where pedestrians need to navigate, especially tourists, for mapping
restaurants, bus stops, presence or absence of sidewalks, etc. These data can also be crowd-sourced,
for example, with OpenStreetMap, which
we read about in our Cartography class.
This article can be accessed at this link: Mapping for Wheelchair Users: Route Navigation in Urban Spaces .
Source: Beale, L., Field, K., Briggs, D., Picton, P., and Matthews, H. (2006). Mapping for Wheelchair Users: Route Navigation in Urban Spaces. The Cartographic Journal, Vol. 43 (No. 1), pp. 68–81.
Source: Beale, L., Field, K., Briggs, D., Picton, P., and Matthews, H. (2006). Mapping for Wheelchair Users: Route Navigation in Urban Spaces. The Cartographic Journal, Vol. 43 (No. 1), pp. 68–81.
(I have placed the PDF in my UWF I:\ drive because it was downloaded
from my local library’s EBSCO database, for which access is limited to local card
holders.)
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