Exploring geographic information systems to mitigate America's electric grid traffic congestion problem

Author(s):  
Vivian Sultan
2009 ◽  
Vol 6 (s1) ◽  
pp. S113-S123 ◽  
Author(s):  
Marc A. Adams ◽  
Sherry Ryan ◽  
Jacqueline Kerr ◽  
James F. Sallis ◽  
Kevin Patrick ◽  
...  

Background:Concurrent validity of Neighborhood Environment Walkability Scale (NEWS) items was evaluated with objective measures of the built environment using geographic information systems (GIS).Methods:A sample of 878 parents of children 10 to 16 years old (mean age 43.5 years, SD = 6.8, 34.8% non-White, 63.8% overweight) completed NEWS and the International Physical Activity Questionnaire. GIS was used to develop 1-mile street network buffers around participants’ residences. GIS measures of the built environment within participants’ buffers included percent of commercial and institutional land uses; number of schools and colleges, recreational facilities, parks, transit stops, and trees; land topography; and traffic congestion.Results:Except for trees and traffic, concordance between the NEWS and GIS measures were significant, with weak to moderate effect sizes (r = −0.09 to −0.36, all P ≤ 01). After participants were stratified by physical activity level, stronger concordance was observed among active participants for some measures. A sensitivity analysis of self-reported distance to 15 neighborhood destinations found a 20-minute (compared with 10- or 30-minute) walking threshold generally had the strongest correlations with GIS measures.Conclusions:These findings provide evidence of the concurrent validity of self-reported built environment items with objective measures. Physically active adults may be more knowledgeable about their neighborhood characteristics.


Author(s):  
Katina Michael ◽  
M.G. Michael

This chapter is about geographic information systems (GIS) and its relevance to the location-based services industry. One might initially ask how relevant GIS is to a book that is predominantly about automatic identification and its future trajectory. The answer becomes apparent quickly as the reader is introduced to the importance of geocoding information, i.e., geographically linking data such as personal details using a unique ID number. In the past data matching programs have received a great deal of attention from privacy advocates, especially those used for the administration of government procedures. Till now, automatic identification has facilitated electronic services (e-services), allowing an individual to be matched to a fixed address, usually their place of residence. But it is one thing to tag and another to track. Today, we are moving towards a model of tracking and monitoring people as they go about their daily business, in real time. We are no longer satisfied with knowing where an individual lives but we want to know their every move- so that we can estimate traffic congestion on a busy road, design 3G mobile networks that have enough capacity during busy hours, and to ensure someone’s safety when adequate supervision is not available.


Soil Horizons ◽  
1995 ◽  
Vol 36 (1) ◽  
pp. 1
Author(s):  
S. P. Theocharopoulos ◽  
D. A. Davidson ◽  
F. Tsouloucha ◽  
A. Trikatsoula

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