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Description
For nearly a century Walter Christaller's Central Place Theory has served as a guiding framework in studies in economic geography. What began as a means for analyzing the disbursement of goods and services has grown into a methodology that encompasses a wide variety of phenomena including industrial location, spatial arrangement

For nearly a century Walter Christaller's Central Place Theory has served as a guiding framework in studies in economic geography. What began as a means for analyzing the disbursement of goods and services has grown into a methodology that encompasses a wide variety of phenomena including industrial location, spatial arrangement and innovative capacity. The aim of this paper is to use this conception on "central places" as a means of exploring the geographic alignment of patent classes, as they function within the existing urban hierarchy of the U.S. Revealing the relative ubiquity of patent classes as they relate to the size of the urban center in which they are developed helps to show the continue role that urban scale has in the development of new technologies. By analyzing the minimum threshold sizes for individual patent classes in urban areas by the overall frequency of the same patent classes we illustrate how the least ubiquitous patent classes are disproportionately found in the largest urban areas and the disbursement of patent types are distributed in a hierarchical fashion. This means the patent classes present in an urban area are also found in urban centers of equal or larger size.
ContributorsKenyon, Sean (Author) / O'Huallachain, Breandan (Thesis director) / Kuby, Mike (Committee member) / Barrett, The Honors College (Contributor)
Created2015-05
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Description
Bicyclist and pedestrian safety is a growing concern in San Francisco, CA,

especially given the increasing numbers of residents choosing to bike and walk. Sharing

the roads with automobiles, these alternative road users are particularly vulnerable to

sustain serious injuries. With this in mind, it is important to identify the factors that

influence the

Bicyclist and pedestrian safety is a growing concern in San Francisco, CA,

especially given the increasing numbers of residents choosing to bike and walk. Sharing

the roads with automobiles, these alternative road users are particularly vulnerable to

sustain serious injuries. With this in mind, it is important to identify the factors that

influence the severity of bicyclist and pedestrian injuries in automobile collisions. This

study uses traffic collision data gathered from California Highway Patrol’s Statewide

Integrated Traffic Records System (SWITRS) to predict the most important

determinants of injury severity, given that a collision has occurred. Multivariate binomial

logistic regression models were created for both pedestrian and bicyclist collisions, with

bicyclist/pedestrian/driver characteristics and built environment characteristics used as

the independent variables. Results suggest that bicycle infrastructure is not an important

predictor of bicyclist injury severity, but instead bicyclist age, race, sobriety, and speed

played significant roles. Pedestrian injuries were influenced by pedestrian and driver age

and sobriety, crosswalk use, speed limit, and the type of vehicle at fault in the collision.

Understanding these key determinants that lead to severe and fatal injuries can help

local communities implement appropriate safety measures for their most susceptible

road users.
ContributorsMcIntyre, Andrew (Author) / Salon, Deborah (Thesis advisor) / Kuby, Mike (Committee member) / Chester, Mikhail (Committee member) / Arizona State University (Publisher)
Created2016