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(Referência obtida automaticamente do Web of Science, por meio da informação sobre o financiamento pela FAPESP e o número do processo correspondente, incluída na publicação pelos autores.)

The Influence of Noise, Vibration, Cycle Paths, and Period of Day on Stress Experienced by Cyclists

Texto completo
Autor(es):
Mahecha Nunez, Javier Yesid [1] ; Teixeira, Inaian Pignatti [1] ; Rodrigues da Silva, Antonio Nelson [1] ; Zeile, Peter [2] ; Dekoninck, Luc [3] ; Botteldooren, Dick [3]
Número total de Autores: 6
Afiliação do(s) autor(es):
[1] Univ Sao Paulo, Sao Carlos Sch Engn, Dept Transportat Engn, BR-13566590 Sao Carlos, SP - Brazil
[2] Karlsruhe Inst Technol, Englerstr 11, D-76131 Karlsruhe - Germany
[3] Univ Ghent, Dept Informat Technol, Waves Res Grp, B-9000 Ghent - Belgium
Número total de Afiliações: 3
Tipo de documento: Artigo Científico
Fonte: SUSTAINABILITY; v. 10, n. 7 JUL 2018.
Citações Web of Science: 1
Resumo

Urban and transport planners need to assess the stressful conditions experienced by cyclists, considering that highly stressful situations can discourage people from cycling as a transport mode. Therefore, this study has two objectives: (1) to present a method for monitoring stress and other environmental factors along cycling routes using smart sensors; and (2) to analyze the influence of noise, vibration, presence of cycle paths, and the period of the day on stress experienced by cyclists. Data were collected in the city of Sao Carlos, Brazil, using stress and noise sensors, accelerometers, and Global Positioning System (GPS). Primarily, heat maps generated from the data made it possible to identify critical points of stress along the routes. In addition, the results of a logistic regression model were analyzed to identify the influence of the studied variables on stress. Although high levels of noise increased the odds of experiencing stress by 4%, very uncomfortable vibrations increased the odds by 14%, and the presence of cycle paths reduced the odds by 8%, an analysis of p-values and odds ratio confidence intervals shows, with a 95% confidence level, that only the period of the day influenced stress, as confirmed by the data. In this case, the odds of having stress increased by 24% in the afternoon rush hour compared to the morning rush hour. (AU)

Processo FAPESP: 15/50129-5 - Designing and policy implementation for encouraging cycling and walking trips
Beneficiário:Antonio Nelson Rodrigues da Silva
Linha de fomento: Auxílio à Pesquisa - Temático