Effects of Noise and Vibration Due to the Hokuriku Shinkansen Railway on the Living Environment: A Socio-Acoustic Survey One Year after the Opening
Author
Abstract
Suggested Citation
Download full text from publisher
References listed on IDEAS
- Shigenori Yokoshima & Takashi Morihara & Tetsumi Sato & Takashi Yano, 2017. "Combined Effects of High-Speed Railway Noise and Ground Vibrations on Annoyance," IJERPH, MDPI, vol. 14(8), pages 1-14, July.
- Yasuhiro Murakami & Takashi Yano & Makoto Morinaga & Shigenori Yokoshima, 2018. "Effects of Railway Elevation, Operation of a New Station, and Earthquakes on Railway Noise Annoyance in Kumamoto, Japan," IJERPH, MDPI, vol. 15(7), pages 1-16, July.
- Peris, Eulalia & Woodcock, James & Sica, Gennaro & Sharp, Calum & Moorhouse, Andy T. & Waddington, David C., 2016. "Guidance for new policy developments on railway noise and vibration," Transportation Research Part A: Policy and Practice, Elsevier, vol. 85(C), pages 76-88.
Citations
Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
Cited by:
- Shigenori Yokoshima & Makoto Morinaga & Sohei Tsujimura & Koji Shimoyama & Takashi Morihara, 2021. "Representative Exposure–Annoyance Relationships Due to Transportation Noises in Japan," IJERPH, MDPI, vol. 18(20), pages 1-19, October.
Most related items
These are the items that most often cite the same works as this one and are cited by the same works as this one.- Shigenori Yokoshima & Makoto Morinaga & Sohei Tsujimura & Koji Shimoyama & Takashi Morihara, 2021. "Representative Exposure–Annoyance Relationships Due to Transportation Noises in Japan," IJERPH, MDPI, vol. 18(20), pages 1-19, October.
- Makoto Morinaga & Thu Lan Nguyen & Shigenori Yokoshima & Koji Shimoyama & Takashi Morihara & Takashi Yano, 2021. "The Effect of an Alternative Definition of “Percent Highly Annoyed” on the Exposure–Response Relationship: Comparison of Noise Annoyance Responses Measured by ICBEN 5-Point Verbal and 11-Point Numeric," IJERPH, MDPI, vol. 18(12), pages 1-15, June.
- Pengpeng Xie & Yong Peng & Tiantian Wang & Honghao Zhang, 2019. "Risks of Ear Complaints of Passengers and Drivers While Trains Are Passing Through Tunnels at High Speed: A Numerical Simulation and Experimental Study," IJERPH, MDPI, vol. 16(7), pages 1-20, April.
- Miroslav Němec & Anna Danihelová & Tomáš Gergeľ & Miloš Gejdoš & Vojtěch Ondrejka & Zuzana Danihelová, 2020. "Measurement and Prediction of Railway Noise Case Study from Slovakia," IJERPH, MDPI, vol. 17(10), pages 1-15, May.
More about this item
Keywords
high-speed train; noise; ground vibration; social survey; annoyance; exposure–response relationship; logistic regression analysis;All these keywords.
Statistics
Access and download statisticsCorrections
All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:gam:jijerp:v:18:y:2021:i:15:p:7794-:d:599501. See general information about how to correct material in RePEc.
If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.
If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .
If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.
For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: MDPI Indexing Manager (email available below). General contact details of provider: https://www.mdpi.com .
Please note that corrections may take a couple of weeks to filter through the various RePEc services.