Matches in SemOpenAlex for { <https://semopenalex.org/work/W4387675863> ?p ?o ?g. }
- W4387675863 endingPage "105006" @default.
- W4387675863 startingPage "105006" @default.
- W4387675863 abstract "This study examines the control of traffic noise in urban planning, considering the differences in noise impacts at various scales. Acoustic simulations and spatial statistics were employed to compare traditional planning variables and planning big data for noise analysis. The study investigates noise impact in urban centres and fringes and analyses varying effects of a given variable on traffic noise at scales of 300, 600, and 1200 m. Additionally, sound environment optimisation strategies are proposed and validated for different scales and areas. The major findings are: (1) planning big data had more impact in single-variable models, while traditional variables were more significant in multivariable models; (2) the noise impact of most variables varied with the area and scale, for example, at 1200 m, the total building perimeter has opposing effects in urban centres and fringes, and the greening rate changes from positive to negative with increasing scale; (3) the proposed strategies reduced traffic noise by an average of 4.2, 3.2, and 2.3 dB at scales of 300, 600, and 1200 m, respectively. These findings provide valuable insights for the optimisation of urban sound environments." @default.
- W4387675863 created "2023-10-17" @default.
- W4387675863 creator A5012808800 @default.
- W4387675863 creator A5019324414 @default.
- W4387675863 creator A5066951119 @default.
- W4387675863 creator A5075358738 @default.
- W4387675863 creator A5080754945 @default.
- W4387675863 date "2023-10-01" @default.
- W4387675863 modified "2023-10-17" @default.
- W4387675863 title "Effects of planning variables on urban traffic noise at different scales" @default.
- W4387675863 cites W1497165213 @default.
- W4387675863 cites W1964196143 @default.
- W4387675863 cites W1971794754 @default.
- W4387675863 cites W1975678988 @default.
- W4387675863 cites W1994197106 @default.
- W4387675863 cites W2025517392 @default.
- W4387675863 cites W2041006262 @default.
- W4387675863 cites W2057486289 @default.
- W4387675863 cites W2061308627 @default.
- W4387675863 cites W2082475197 @default.
- W4387675863 cites W2136942840 @default.
- W4387675863 cites W2150802110 @default.
- W4387675863 cites W2153569914 @default.
- W4387675863 cites W2159762038 @default.
- W4387675863 cites W2302600777 @default.
- W4387675863 cites W2330771607 @default.
- W4387675863 cites W2343188872 @default.
- W4387675863 cites W2345121642 @default.
- W4387675863 cites W2413068911 @default.
- W4387675863 cites W2511287458 @default.
- W4387675863 cites W2528609517 @default.
- W4387675863 cites W2528917522 @default.
- W4387675863 cites W2588199541 @default.
- W4387675863 cites W2601012767 @default.
- W4387675863 cites W2621065648 @default.
- W4387675863 cites W2766479746 @default.
- W4387675863 cites W2792684877 @default.
- W4387675863 cites W2796038040 @default.
- W4387675863 cites W2796539719 @default.
- W4387675863 cites W2800521572 @default.
- W4387675863 cites W2808004165 @default.
- W4387675863 cites W2903086364 @default.
- W4387675863 cites W2947903038 @default.
- W4387675863 cites W2991497591 @default.
- W4387675863 cites W3009893739 @default.
- W4387675863 cites W3024110832 @default.
- W4387675863 cites W3024250894 @default.
- W4387675863 cites W3092808423 @default.
- W4387675863 cites W3093357294 @default.
- W4387675863 cites W3157479271 @default.
- W4387675863 cites W364094308 @default.
- W4387675863 cites W4206233247 @default.
- W4387675863 cites W4312061572 @default.
- W4387675863 cites W4364355744 @default.
- W4387675863 doi "https://doi.org/10.1016/j.scs.2023.105006" @default.
- W4387675863 hasPublicationYear "2023" @default.
- W4387675863 type Work @default.
- W4387675863 citedByCount "0" @default.
- W4387675863 crossrefType "journal-article" @default.
- W4387675863 hasAuthorship W4387675863A5012808800 @default.
- W4387675863 hasAuthorship W4387675863A5019324414 @default.
- W4387675863 hasAuthorship W4387675863A5066951119 @default.
- W4387675863 hasAuthorship W4387675863A5075358738 @default.
- W4387675863 hasAuthorship W4387675863A5080754945 @default.
- W4387675863 hasConcept C105795698 @default.
- W4387675863 hasConcept C115961682 @default.
- W4387675863 hasConcept C116822448 @default.
- W4387675863 hasConcept C121332964 @default.
- W4387675863 hasConcept C127413603 @default.
- W4387675863 hasConcept C130858481 @default.
- W4387675863 hasConcept C134306372 @default.
- W4387675863 hasConcept C147176958 @default.
- W4387675863 hasConcept C154945302 @default.
- W4387675863 hasConcept C163294075 @default.
- W4387675863 hasConcept C182365436 @default.
- W4387675863 hasConcept C203718221 @default.
- W4387675863 hasConcept C205649164 @default.
- W4387675863 hasConcept C22212356 @default.
- W4387675863 hasConcept C24890656 @default.
- W4387675863 hasConcept C2778755073 @default.
- W4387675863 hasConcept C2781353297 @default.
- W4387675863 hasConcept C33923547 @default.
- W4387675863 hasConcept C39432304 @default.
- W4387675863 hasConcept C41008148 @default.
- W4387675863 hasConcept C49545453 @default.
- W4387675863 hasConcept C58640448 @default.
- W4387675863 hasConcept C86781634 @default.
- W4387675863 hasConcept C99498987 @default.
- W4387675863 hasConceptScore W4387675863C105795698 @default.
- W4387675863 hasConceptScore W4387675863C115961682 @default.
- W4387675863 hasConceptScore W4387675863C116822448 @default.
- W4387675863 hasConceptScore W4387675863C121332964 @default.
- W4387675863 hasConceptScore W4387675863C127413603 @default.
- W4387675863 hasConceptScore W4387675863C130858481 @default.
- W4387675863 hasConceptScore W4387675863C134306372 @default.
- W4387675863 hasConceptScore W4387675863C147176958 @default.
- W4387675863 hasConceptScore W4387675863C154945302 @default.
- W4387675863 hasConceptScore W4387675863C163294075 @default.