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عنوان فارسی مقاله:
رویکرد ارزیابی مردم محور جهت تشخیص نقص پیاده رو
عنوان انگلیسی مقاله:
A people-centric sensing approach to detecting sidewalk defects
سال انتشار : 2016
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مقدمه انگلیسی مقاله:
1. Introduction
Built environments, including civil infrastructure and buildings, are designed to provide specific services to users [1]. Maintaining a sufficient service level for users is thus critical for achieving each built environment’s designed objectives [2–4]. Of the numerous types of built environments, the sidewalk is one of the most influential infrastructures for humans since it is an integral part of sustainable transportation, and supports pedestrian travel as well as healthy physical activity [5]. What is more, the quality of sidewalks is a significant indicator of the perceived safety and quality of the pedestrian environment [6]. Correspondingly, injuries from defective sidewalks have become a crucial problem. In the city of New York, more than thirty million dollars per year was paid out for settlements and judgments resulting from defective sidewalks from 2008 to 2012. During this period, the cost per defective sidewalk claim was over fifteen thousand dollars. Besides the cost of settling these claims, the detection of defective sidewalk is important for enhancing the safety of pedestrians, including disabled and elderly persons. According to the Americans with Disabilities Act of 1990 (ADA), pedestrian infrastructure is legally considered part of the ‘‘public right of way,” and governmental agencies can be liable for injuries resulting from inadequate maintenance of infrastructure, including sidewalks. For these reasons, addressing the problems caused by defects in sidewalks is valuable not only for pedestrians, who deserve access to safe sidewalks, but also for those who are legally responsible for defects, such as governments or owners. Governmental agencies in the United States have thus taken various approaches to addressing such issues, including performing periodic inspections using experts [7,10] and transferring liability of sidewalk maintenance from the city to property owners. Nonetheless, claims related to defective sidewalks continue to grow in terms of both frequency and payout amounts [8,9]. Thus there is a clear need for identifying and locating sidewalk defects in a continuous and automated fashion. To this end, this paper investigates the feasibility of harnessing pedestrians’ bodily responses to their environment as a means of detecting defects in a sidewalk. According to several studies [10– 13], humans physically respond to the changes in their physical environment. For example, when a pedestrian walks along a sidewalk that includes a defect, his balance or gait stability changes at the moment of stepping on or over the defect. Therefore, human responses to the surrounding environment may offer information that lets us estimate the condition of the environment. To examine the feasibility of such a people-centric sensing approach, we collected data from inertial measurement unit (IMU) sensors to measure pedestrians’ bodily responses and data from global positioning systems (GPS) to locate pedestrians; these data are used to analyze pedestrians’ bodily responses to their location. The paper is organized as follows: first, we review current practices and related techniques. Next, we introduce challenges in detecting sidewalk defects using pedestrians’ bodily responses, and then propose a hypothesis for the relationship between pedestrians’ bodily responses and defect existence. To examine the suggested hypothesis, an outdoor experiment is performed on an actual sidewalk. The discovered relationship between the pedestrians’ bodily responses and the defect’s existence is expected to provide a basis for developing a proactive monitoring system that empowers the stakeholders who are responsible for injuries caused by defective sidewalks to be able to continuously monitor and maintain the quality and the function of their sidewalks.
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کلمات کلیدی:
A people-centric sensing approach to detecting sidewalk defects https://www.researchgate.net/.../308131704_A_people-centric_sensing_approach_to_det... Nov 25, 2016 - A defective sidewalk inhibits the walkability of a street and may also cause safety accidents (slips, trips, and falls) for pedestrians. When a ... A people-centric sensing approach to detecting sidewalk defects dl.acm.org/citation.cfm?id=3067460 by H Kim - 2016 - Related articles Oct 1, 2016 - A defective sidewalk inhibits the walkability of a street and may also cause safety accidents (slips, trips, and falls) for pedestrians. When a ... [PDF]A people-centric sensing approach to detecting sidewalk defects iranarze.ir/wp-content/uploads/2016/09/E56.pdf A people-centric sensing approach to detecting sidewalk defects. Hyunsoo Kim, Changbum R. Ahn. *. , Kanghyeok Yang. Construction Engineering and ... دانلود رایگان مقاله رویکرد ارزیابی مردم محور جهت تشخیص نقص پیاده رو ... iranarze.ir/people+centric+sensing+approach+detecting+sidewalk+d... - Translate this page عنوان فارسی: رویکرد ارزیابی مردم محور جهت تشخیص نقص پیاده رو. عنوان انگلیسی: A people-centric sensing approach to detecting sidewalk defects ... [PDF]Feasibility of Using Pedestrians' Physical Response to Detect Defects ... www.see.eng.osaka-u.ac.jp/seeit/icccbe2016/Proceedings/Full_Papers/175-224.pdf such health monitoring and damage-detection approaches provide a rapid ... detecting sidewalk defects using pedestrians' bodily responses, and then we ... A people-centric sensing approach to detecting sidewalk defects https://www.sparrho.com/item/a...approach-to-detecting-sidewalk-defects/9b7582/ Sep 20, 2016 - Publication date: October 2016 Source:Advanced Engineering Informatics, Volume 30, Issue 4 Author(s): Hyunsoo Kim, Changbum R. Ahn, ... Kanghyeok Yang - Google Scholar Citations scholar.google.com/citations?user=LqI2y1-qKq8C&hl=en University of Nebraska at Lincoln - huskers.unl.edu Automated detection of near-miss fall incidents in iron workers using inertial measurement ... A people-centric sensing approach to detecting sidewalk defects. News | Smart and Sustainable Construction Research Group ... ssc.unl.edu › Smart and Sustainable Construction Research Group ... Ahn, and Kanghyeok Yang on "A People-Centric Sensing Approach to Detecting Sidewalk Defects." accepted by Advanced Engineering Informatics, Elsevier.
