Objective: This study assessed the environmental characteristics of ten universities, comparing the extent to which physical infra-structures are able to support a route-based walking intervention.
Method: Following protocol standardization between and within sites, major pedestrian routes at main suburban campuses in seven countries (Australia, Canada, England, Northern Ireland, Scotland, Spain and the United States) were audited by researchers using an established inventory (March-June 2008). The inventory assessed key characteristics (e.g. size and employee number) and nine specific items (pedestrian facilities, vehicle conflicts, crossings, route-maintenance, walkway width, roadway buffer, universal accessibility, aesthetics and cover), scored on a five-point scale (1=very poor; 5=excellent). Item scores for each route, were combined and weighted, to provide indicators of low (score of 20-39), fair (score of 40-69), or good (score of 70-100) physical infra-structure support.
Results: Sites varied in area (range of 7-1000 acres) and employee numbers (range of 700-7500 employees). Audits reported good support for route-based walking at seven sites (overall route score range=72.5+/-13.9-82.2+/-17.4), fair support at two sites (overall route score of 69.1+/-11.7 and 61.7+/-14.6), and low support at one site (overall route score of 22.1+/-7.3).
Conclusions: Study methods highlight a valuable audit process, while findings identify the need to improve aspects of physical infra-structure at sites where the built environment may be less conducive for route-based walking.
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http://dx.doi.org/10.1016/j.ypmed.2009.05.001 | DOI Listing |
J Safety Res
September 2024
Department of Health Policy and Management, Johns Hopkins Bloomberg School of Public Health, Johns Hopkins University, 615 N Wolfe St, Baltimore, MD 21205, USA; Center for Injury Research and Policy, Johns Hopkins Bloomberg School of Public Health, 624 N. Broadway, Baltimore, MD 21205, USA.
Introduction: This study addresses the lack of methods to quantify driver familiarity with roadways, which poses a higher risk of crashes.
Method: We present a new approach to assessing driving route diversity and familiarity using data from the DrivingApp, a smartphone-based research tool that collects trip-level information, including driving exposure and global positioning system (GPS) data, from young novice drivers (15-19 years old) to older drivers (67-78 years old). Using these data, we developed a GPS data-based algorithm to analyze the uniqueness of driving routes.
J Exp Biol
August 2021
Department of Anthropology, University of Texas at Austin, Austin, TX 78712, USA.
When navigating, wild animals rely on internal representations of the external world - called 'cognitive maps' - to take movement decisions. Generally, flexible navigation is hypothesized to be supported by sophisticated spatial skills (i.e.
View Article and Find Full Text PDFBackground A straight line-based model is often used to calculate the distance between an out-of-hospital cardiac arrest (OHCA) and the location of an automated external defibrillator (AED). This model may be inaccurate as it overlooks any obstacles between the OHCA and AED. This study aimed to elucidate the effect of the straight line-based and walking route-based calculation on the average distance between an historical OHCA and the closest AED and the coverage rate of AEDs, ie, the proportion of historical OHCAs that were within 100 meters of an AED.
View Article and Find Full Text PDFSensors (Basel)
December 2019
Department of Production Systems Engineering and Sciences, Komatsu University, Awazu Campus, Komatsu 923-0921, Japan.
It is difficult for visually impaired people to move indoors and outdoors. In 2018, world health organization (WHO) reported that there were about 253 million people around the world who were moderately visually impaired in distance vision. A navigation system that combines positioning and obstacle detection has been actively researched and developed.
View Article and Find Full Text PDFPhys Rev E Stat Nonlin Soft Matter Phys
June 2009
Division of Applied Mathematics, Brown University, Providence, Rhode Island 02912, USA.
In this paper, we develop a macroscopic model for pedestrian flow using the dynamic continuum modeling approach. We consider a two-dimensional walking facility that is represented as a continuum within which pedestrians can move freely in any direction. A pedestrian chooses a route based on his or her memory of the shortest path to the desired destination when the facility is empty and, at the same time, tries to avoid high densities.
View Article and Find Full Text PDFEnter search terms and have AI summaries delivered each week - change queries or unsubscribe any time!