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UNIVERSITEITGENT
A unique field experiment to assess the noise annoyance
caused by maglev trains
Bert De Coensel, Luc Dekoninck,Tom De Muer, Dick Botteldooren
Acoustics Group, Ghent University, Belgium
Peter LercherDivision of Social Medicine, Medical University Innsbruck, Austria
Birgitta Berglund, Mats NilssonGösta Eckman Laboratory, Stockholm University, Sweden
Ministry of Transport, Public Works and Water ManagementDirectorate-General of Passenger Transport
Projectorganization ZuiderzeelijnDen Haag, Nederland
Ghent University – Medical University Innsbruck – Stockholm University 2
1. Introduction
2. Experiment
3. Results
4. Conclusion
Overview
Ghent University – Medical University Innsbruck – Stockholm University 3
Introduction
• Transportation noise annoyance- Trains ≠ highway traffic- Railway bonus for LAeq
• Valid for high-speed trains & maglev trains?- Vos (2004), Neugebauer et al. (1997), Fastl et al. (1996)
• Questions raised- Short samples used (45s) → temporal effect obscured- Small testperson panel → representativity- Nonacoustical factors (e.g. noise sensitivity) not taken into account
• The experiment presented- Conducted in a realistic setting (holiday cottage)- Exposure to longer fragments of sound + quiet periods- Traffic noise reproduced in ecologically valid way- Representative panellists selected using questionnaire
Ghent University – Medical University Innsbruck – Stockholm University 4
1. Introduction
2. Experiment
3. Results
4. Conclusion
Overview
Ghent University – Medical University Innsbruck – Stockholm University 5
Experiment
Field experiment in natural setting
Ecologically and socially valid setting
Good quality acoustic field reproduction
Panel of representative testpersons
• Natural setting- Holiday cottage in Westkapelle
(Zeeland, The Netherlands)- Quiet environment- Subgroups of panellists seated
in living room- Reading magazine, light
conversation, something to drink
Ghent University – Medical University Innsbruck – Stockholm University 6
Experiment
Field experiment in natural setting
Ecologically and socially valid setting
Good quality acoustic field reproduction
Panel of representative testpersons
• Sound reproduction objectives- Realistic indoor 3D sound of
outdoor pass-by sources- Preserve natural feeling inside
experiment room
Ghent University – Medical University Innsbruck – Stockholm University 7
playback level
binaural recording B
Experiment
Field experiment in natural setting
Ecologically and socially valid setting
Good quality acoustic field reproduction
Panel of representative testpersons
• Sound reproduction objectives• Methodology and validation
- Assumption: 2-channel recording- Checked for low speed trains at
short distance: 2 phases- Ideally: A = B
record level
binaural recording A
Ghent University – Medical University Innsbruck – Stockholm University 8
Experiment
Field experiment in natural setting
Ecologically and socially valid setting
Good quality acoustic field reproduction
Panel of representative testpersons
• Sound reproduction objectives• Methodology and validation
- Assumption: 2-channel recording- Checked for low speed trains at
short distance: 2 phases- Ideally: A = B- Error within 5 dB in each
tertsband- Low frequency
05
101520253035404550
31.5 63 125 250 500 1k 2k 4k 8k 16kfrequency [Hz]
LAeq
,18s
ec [d
B(A)
]
realreproduced
Passage 1 - left ear
05
101520253035404550
31.5 63 125 250 500 1k 2k 4k 8k 16kfrequency [Hz]
LAeq
,23s
ec [d
B(A)
]
realreproduced
Passage 2 - left ear
Ghent University – Medical University Innsbruck – Stockholm University 9
Experiment
Field experiment in natural setting
Ecologically and socially valid setting
Good quality acoustic field reproduction
Panel of representative testpersons
• Sound reproduction objectives• Methodology and validation• Reproduction setup
- 2 loudspeakers + subwoofer in front of slightly opened window
- Played on PC, equalized(31 bands) and amplified
- Façade level + indoor soundfield- No visual presentation
Ghent University – Medical University Innsbruck – Stockholm University 10
Experiment
Field experiment in natural setting
Ecologically and socially valid setting
Good quality acoustic field reproduction
Panel of representative testpersons
• Sound reproduction objectives• Methodology and validation• Reproduction setup• Sample collection
distances: 25, 50, 100 and 200 m
mic
20 m
michead
Ghent University – Medical University Innsbruck – Stockholm University 11
Experiment
Field experiment in natural setting
Ecologically and socially valid setting
Good quality acoustic field reproduction
Panel of representative testpersons
• Sound reproduction objectives• Methodology and validation• Reproduction setup• Sample collection
- IC: 140 km/h- TGV: 140 & 300 km/h- Maglev: 200, 300 & 400 km/h- Highway: free flow
• 45-sec passage fragments cut
Ghent University – Medical University Innsbruck – Stockholm University 12
Experiment
Field experiment in natural setting
Ecologically and socially valid setting
Good quality acoustic field reproduction
Panel of representative testpersons
• Selection of panellists- Questionnaire to 1500 people in
neighbourhood of testhouse- Representative structure Dutch
population• RIVM environmental noise survey• Eurobarometer questionnaire
- Drawing 100 out of 255 replies• Age & hearing ability• Disimilarity using binary coding• Fuzzy resemblance Dutch person
0%
5%
10%
15%
20%
25%
0 1 2 3 4 5 6 7 8 9 10
noise sensitivity
participantsreference
0%
5%
10%
15%
20%
25%
0 1 2 3 4 5 6 7 8 9 10
quality of traffic noise
participantsreference
Ghent University – Medical University Innsbruck – Stockholm University 13
Experiment
Field experiment in natural setting
Ecologically and socially valid setting
Good quality acoustic field reproduction
Panel of representative testpersons
• Listening test menus- Longer exposure → 10 minutes- Called “menu”- Consists of
• 2 passages of same train• 4 passages of same train• 8 minutes continuous highway noise
- Scaling context for panellists:• 7 reference 45-sec fragments• Produced of highway noise at 50 m• Scaled up and down + spectral
Ghent University – Medical University Innsbruck – Stockholm University 14
40
50
60
70
80
90
100
11:50 12:00 12:10 12:20 12:30Time [s]
Experiment
Field experiment in natural setting
Ecologically and socially valid setting
Good quality acoustic field reproduction
Panel of representative testpersons
• Listening test menus• Outline test
- ± 5 panellists / session- Session façade level
• 14 minute training session• 7 menus of 10 minutes IC/TGV or
Maglev• 14 minute training session• 7 menus of 10 minutes Maglev or
IC/TGV• Conventional listening test
405060708090
100
10:10 10:20 10:30 10:40 10:50 11:00 11:10 11:20 11:30 11:40 11:50
Time [s]
405060708090
100
8:20 8:30 8:40 8:50 9:00 9:10 9:20 9:30 9:40 9:50 10:00Time [s]
LAeq
,1s
[dB
(A)]
Ghent University – Medical University Innsbruck – Stockholm University 15
Experiment
Field experiment in natural setting
Ecologically and socially valid setting
Good quality acoustic field reproduction
Panel of representative testpersons
• Listening test menus• Outline test• Perceived noise annoyance
- Free number estimation- Master scaling
01020304050607080
40 50 60 70 80 90Road traffic reference sound level [dB(A)]
Anno
yanc
e
A = 70, assessment
R = 55, ms annoyance
Ghent University – Medical University Innsbruck – Stockholm University 16
1. Introduction
2. Experiment
3. Results
4. Conclusion
Overview
Ghent University – Medical University Innsbruck – Stockholm University 17
Results
• Average master scaled annoyance vs LAeq,10min
Sound level (LAeq,10min)
30 40 50 60 70 80 90
Annoya
nce
(m
aste
r sc
ale)
-10
0
10
20
30
40
50
60
70
Inter-cityMaglevRoad-trafficTGVMaster function
2 events / 10 minutes
Ghent University – Medical University Innsbruck – Stockholm University 18
Results
• Average master scaled annoyance vs LAeq,10min
Sound level (LAeq,10min)
30 40 50 60 70 80 90
Annoya
nce
(m
aste
r sc
ale)
-10
0
10
20
30
40
50
60
70
Inter-cityMaglevRoad-trafficTGVMaster function
4 events / 10 minutes
Ghent University – Medical University Innsbruck – Stockholm University 19
05
101520253035404550
55 60 65 70Sound level (LAeq,10min)
anno
yanc
e (m
aste
r sca
le) Conventional train
TGV high speedMaglev high speed
Results
• Average master scaled annoyance vs LAeq,10min
• LAeq < 65 dB(A):- Maglev ~ IC
• LAeq > 60 dB(A):- Maglev ~ TGV
• 55 dB(A) → 65 dB(A):- Annoyance↓ [T,v,d]
Ghent University – Medical University Innsbruck – Stockholm University 20
Results
• Average master scaled annoyance vs LAeq,45sec
Sound level (LAeq,45)
30 40 50 60 70 80 90
Ann
oyan
ce (m
aste
r sca
le)
-10
0
10
20
30
40
50
60
70
Inter-cityMaglevRoad-trafficTGVMaster function
• Assess loudness rather than annoyance
• Train passage at least as annoying as 45-sec highway
• LAeq > 60 dB(A):- Maglev + TGV hs
> TGV ls + IC
• LAeq > 65 dB(A):- Maglev ~ TGV
Ghent University – Medical University Innsbruck – Stockholm University 21
-10
0
10
20
30
40
50
60
70
80
30 40 50 60 70 80 90
Sound level (LAeq,10min)
Ann
oyan
ce (m
aste
r sca
le)
rise speed [ dB/s ]
Results
• Average master scaled annoyance vs LAeq,10min
• Upward bending may be explained by rise time
Ghent University – Medical University Innsbruck – Stockholm University 22
Sound level (LAeq,10min)
30 40 50 60 70 80 90
Ann
noya
nce
(mas
ter s
cale
)
-10
0
10
20
30
40
50
60
70
80
Master function
Results
• Average master scaled annoyance vs LAeq,10min
distance to track
• Annoyance less for trains passing at large distance
Ghent University – Medical University Innsbruck – Stockholm University 23
1. Introduction
2. Experiment
3. Results
4. Conclusion
Overview
Ghent University – Medical University Innsbruck – Stockholm University 24
Conclusion
• In “at home like” context, noise annoyance of ≠ types of trains at the same façade level is not significantly different
- LAeq < 65 dB(A): Maglev ~ IC- LAeq > 60 dB(A): Maglev ~ high speed TGV
• Railway bonus not observed for distances < 100 m