Measuring Pedestrian Stress Response (MPSR) Using Wearable Technologies  

Measuring Pedestrian Stress Response (MPSR) Using Wearable Technologies

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作  者:Ishita Dash Rachael Anne Muscatello Mark D. Abkowitz Ella R. Mostoller Mike Sewell Ishita Dash;Rachael Anne Muscatello;Mark D. Abkowitz;Ella R. Mostoller;Mike Sewell(Department of Civil and Environmental Engineering, Vanderbilt University, 2301 Vanderbilt Place, Nashville, USA;Department of Psychiatry and Behavioral Sciences, SENSE Lab, Vanderbilt University Medical Center, 1211 Medical Center Drive, Nashville, USA;Gresham Smith, 111 West Main Street, Suite 201, Louisville, USA)

机构地区:[1]Department of Civil and Environmental Engineering, Vanderbilt University, 2301 Vanderbilt Place, Nashville, USA [2]Department of Psychiatry and Behavioral Sciences, SENSE Lab, Vanderbilt University Medical Center, 1211 Medical Center Drive, Nashville, USA [3]Gresham Smith, 111 West Main Street, Suite 201, Louisville, USA

出  处:《Journal of Transportation Technologies》2024年第2期224-235,共12页交通科技期刊(英文)

摘  要:Walkability is an essential aspect of urban transportation systems. Properly designed walking paths can enhance transportation safety, encourage pedestrian activity, and improve community quality of life. This, in turn, can help achieve sustainable development goals in urban areas. This pilot study uses wearable technology data to present a new method for measuring pedestrian stress in urban environments and the results were presented as an interactive geographic information system map to support risk-informed decision-making. The approach involves analyzing data from wearable devices using heart rate variability (RMSSD and slope analysis) to identify high-stress locations. This data-driven approach can help urban planners and safety experts identify and address pedestrian stressors, ultimately creating safer, more walkable cities. The study addresses a significant challenge in pedestrian safety by providing insights into factors and locations that trigger stress in pedestrians. During the pilot study, high-stress pedestrian experiences were identified due to issues like pedestrian-scooter interaction on pedestrian paths, pedestrian behavior around high foot traffic areas, and poor visibility at pedestrian crossings due to inadequate lighting.Walkability is an essential aspect of urban transportation systems. Properly designed walking paths can enhance transportation safety, encourage pedestrian activity, and improve community quality of life. This, in turn, can help achieve sustainable development goals in urban areas. This pilot study uses wearable technology data to present a new method for measuring pedestrian stress in urban environments and the results were presented as an interactive geographic information system map to support risk-informed decision-making. The approach involves analyzing data from wearable devices using heart rate variability (RMSSD and slope analysis) to identify high-stress locations. This data-driven approach can help urban planners and safety experts identify and address pedestrian stressors, ultimately creating safer, more walkable cities. The study addresses a significant challenge in pedestrian safety by providing insights into factors and locations that trigger stress in pedestrians. During the pilot study, high-stress pedestrian experiences were identified due to issues like pedestrian-scooter interaction on pedestrian paths, pedestrian behavior around high foot traffic areas, and poor visibility at pedestrian crossings due to inadequate lighting.

关 键 词:Wearable Technology WALKABILITY Built Environment Pedestrian Safety 

分 类 号:U49[交通运输工程—交通运输规划与管理]

 

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