Effect of ancillary variables on aircraft annoyance, response in Korea

For the purpose of finding whether aircraft noise annoyance response is affected to ancillary variables including both of noise and non-noise factors, a single noise survey is conducted around the Gimpo International Airport in Seoul, Republic of Korea. This urban residential area is exposed to the aircraft noise and road traffic noise, simultaneously. Research areas are classified according to three different aircraft noise exposure levels expressed in WECPNL, under 75, between 75 and 80, and above 80 WECPNL, on aircraft noise map. The 7-step numerical magnitude with verbal category scales is used to measure the annoyance level. This survey suggests that aircraft noise annoyance is not affected to an important extent by other noise sources (road traffic noise, community noise) and demographic variables (sex, age, education, occupation, dwelling type, length of residence). To know the extent of importance for ancillary variables used in this paper, the multiple regression method is used. Multiple regression method is the tool that analyze the major cause in the various causing factors.