04076nas a2200265 a 450000500170000000800410001703500150005810000360007324501050010926000670021430000390028149000330032050000280035350001450038150200570052652027890058365000740337261000500344670000390349670000440353570000440357971000570362381000650368085600650374520260817170948.0150324s2014    th ur m rtt   000 a eng d  a.b121507820 aPatcharin Limlomwongse Suksmith10aAviation impacts on property values and management :bthe case of Suvarnabhumi International Airport  aPathum Thani, Thailand :bAsian Institute of Technology,c2014  a1 online resource (130 p.) :bill.1 aDissertation ;vno. UE-14-01  a"c.2 printed in leaves"  aA dissertation submitted in partial fulfillment of the requirements for the degree of Doctor of Philosophy in Urban Environmental Management  aThesis (Ph.D.) - Asian Institute of Technology, 2014  aMany  countries  have  various  policies  and  measures  to  deal  with  aviation  impacts.  However, some measures,  like compensation, is  still not effective  and perceived as  unfair which  leads  to  the  need  for  appropriate  compensation  model  to  lessen  the  controversial. The  objective  of  this  study  is  therefore  to  examine  the  relationship  between  aviation impacts  and  property  values  in  the  case  of  Thailand  Suvarnabhumi  Airport  for  possible improving   compensation   packages.   Three   methodologies,   cross   country   comparison, survey  and  regression  analysis  were  applied  in  this  study.  Cross  county  comparison providing  a  comparison  of  global  aviation  policies was  applied  to  analyze  and  compare policy effectiveness for  different countries, while  the survey study  was designed to  gather information  on  the  public  opinion  related  to  aviation  problems.  Multiple  regression analysis  was  used  to  determine  relationship  between  five  common  impacts  from  aviation (safety, noise, visual impact, air pollution, and traffic) and property value change.  Cross  country  comparison  concluded  that  there  are  many  noise  abatement  policies  in different countries. Many countries provided several instruments to alleviate aviation noise pollution via General Instrument, Economic Instrument, Social Instrument and Technology Instrument. The regression results show that in the case of Thailand, noise and air pollution are  the  main  factors  that  have  negative  effects  on property  value.  These  imply  that Thailand{u2019}s  compensation  model  should  consider  noise  and  air  pollution  effects  as  main factors  in  addition  to  noise  contour  area,  and  applied  scientific  measurement  to  conduct compensation package instead of consider only area of noise impact. In order to make the compensation  model  more  efficient,  further  improvement  can  be  done  by  focusing  on income level and airport locations, as well as adding factors which have positive effects on property  value.  The  survey  and  regression  method  used  in  this  study  can  be  adapted  for finding  relevant  factors  and  suggesting  appropriate  compensation  for  other  environmental and  infrastructure  development  projects.The  main  contribution  of  this  research  is  to improve   developing   country   compensation   models   by   applied   measurement   from regression analysis to identify factors with significant impacts, using property value change as  proxy  to  measure  the  impact  of  the  airport.  In  addition,  combining  with  cross  country analysis,  this  study  can  identify  the  gap  of  compensation  package  of  developed  and developing countries. 0aInternational airportsxSuvarnabhumi International Airport (Thailand)20aSuvarnabhumi International Airport (Thailand)0 aVilas Nitivattananon,eChairperson1 aSajor, Edsel E.,eExamination Committee1 aShipin, Oleg V.,eExamination Committee2 aRoyal Thai Government Fellowship,eScholarship Donor2 aAsian Institute of Technology.tDissertation ;vno. UE-14-01  3Full-Textuhttp://203.159.5.9/ait-thesis/detail.php?q=B00883