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Passenger’s train soundscape variation analysis
Zakri K.W.a, Sudarsono A.S.a, Sarwono J.a, Utami S.S.b
a Institut Teknologi Bandung, Laboratory of Building Physics and Acoustics, Engineering Physics, Bandung, Indonesia
b Universitas Gadjah Mada, Acoustics and Visual Studio, Engineering Physics, Yogyakarta, Indonesia
[vc_row][vc_column][vc_row_inner][vc_column_inner][vc_separator css=”.vc_custom_1624529070653{padding-top: 30px !important;padding-bottom: 30px !important;}”][/vc_column_inner][/vc_row_inner][vc_row_inner layout=”boxed”][vc_column_inner width=”3/4″ css=”.vc_custom_1624695412187{border-right-width: 1px !important;border-right-color: #dddddd !important;border-right-style: solid !important;border-radius: 1px !important;}”][vc_empty_space][megatron_heading title=”Abstract” size=”size-sm” text_align=”text-left”][vc_column_text]Copyright © (2018) by International Institute of Acoustics & Vibration. All rights reserved.Soundscape is affected by the context from three aspects: auditory sensation, interpretation of auditory sensation, and the response of the sonic environment. The interpretation of auditory sensation is affected by expectation, experience and behaviour in a sonic environment. In passenger’s train, the interpretation of the sonic environment might be affected by the variation of class and the time of the journey. This study tries to analyse the variation of class and the time of the journey to the soundscape of passenger’s train. Two variations of classes (executive and economy) and two different times of journey (afternoon journey and evening journey) are investigated in this study. Four different sonic environments are evaluated: executive class at daytime (71.6 dBA), executive class at night (72.1 dBA), economy class at daytime (71.6 dBA) and economy class at night (70.6 dBA). The variation of classes represents the different facility. The executive class has less seat, the seat can be reclined and has bigger space for passenger compared to the economy class. The different times of journey represent different activity in the train: conversation and enjoying the view in the afternoon and sleeping at night. Perception analysis is conducted using questionnaire consist of 17 semantic scales, and the result is consistent among the 17 semantic scales unless for the scale of crowded-uncrowded. Analysis using ANOVA indicates that the effect of sonic environment variation is not significant for the passenger’s perception in a passenger train.[/vc_column_text][vc_empty_space][vc_separator css=”.vc_custom_1624528584150{padding-top: 25px !important;padding-bottom: 25px !important;}”][vc_empty_space][megatron_heading title=”Author keywords” size=”size-sm” text_align=”text-left”][vc_column_text]Auditory sensation,Human perception,Passenger train,Passenger’s train,Sonic environments,Soundscapes,Variation analysis[/vc_column_text][vc_empty_space][vc_separator css=”.vc_custom_1624528584150{padding-top: 25px !important;padding-bottom: 25px !important;}”][vc_empty_space][megatron_heading title=”Indexed keywords” size=”size-sm” text_align=”text-left”][vc_column_text]Human perception,Passenger’s train,Soundscape[/vc_column_text][vc_empty_space][vc_separator css=”.vc_custom_1624528584150{padding-top: 25px !important;padding-bottom: 25px !important;}”][vc_empty_space][megatron_heading title=”Funding details” size=”size-sm” text_align=”text-left”][vc_column_text][/vc_column_text][vc_empty_space][vc_separator css=”.vc_custom_1624528584150{padding-top: 25px !important;padding-bottom: 25px !important;}”][vc_empty_space][megatron_heading title=”DOI” size=”size-sm” text_align=”text-left”][vc_column_text][/vc_column_text][/vc_column_inner][vc_column_inner width=”1/4″][vc_column_text]Widget Plumx[/vc_column_text][/vc_column_inner][/vc_row_inner][/vc_column][/vc_row][vc_row][vc_column][vc_separator css=”.vc_custom_1624528584150{padding-top: 25px !important;padding-bottom: 25px !important;}”][/vc_column][/vc_row]