000 05053nas a2200445 a 4500
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008 150324s2014 th ur m rtt 000 a eng d
035 _a.b12150782
099 9 _aAIT Diss. no.UE-14-01
100 0 _aPatcharin Limlomwongse Suksmith
245 1 0 _aAviation impacts on property values and management :
_bthe case of Suvarnabhumi International Airport
260 _aPathum Thani, Thailand :
_bAsian Institute of Technology,
_c2014
300 _a1 online resource (130 p.) :
_bill.
490 1 _aDissertation ;
_vno. UE-14-01
500 _a"c.2 printed in leaves"
500 _aA dissertation submitted in partial fulfillment of the requirements for the degree of Doctor of Philosophy in Urban Environmental Management
502 _aThesis (Ph.D.) - Asian Institute of Technology, 2014
520 _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.
650 0 _aInternational airports
_xSuvarnabhumi International Airport (Thailand)
610 2 0 _aSuvarnabhumi International Airport (Thailand)
700 0 _aVilas Nitivattananon,
_eChairperson
700 1 _aSajor, Edsel E.,
_eExamination Committee
700 1 _aShipin, Oleg V.,
_eExamination Committee
710 2 _aRoyal Thai Government Fellowship,
_eScholarship Donor
810 2 _aAsian Institute of Technology.
_tDissertation ;
_vno. UE-14-01
856 _3Full-Text
_uhttp://203.159.5.9/ait-thesis/detail.php?q=B00883
907 _a.b12150782
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_tAbstract--AIT Diss. no.UE-14-01
_vn
945 _lmnait
945 _lmnait
945 _lmnarc
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