@article{Misato Uehara_2019, title={HOLISTIC LANDSCAPE PLANNING`S VALUE FOR NATURAL DISASTER RECONSTRUCTION:WILLINGNESS TO PAY FOR NEW RESIDENCE IN DIFFERENT RECONSTRUCTION PLANNING APPROACHES}, volume={16}, url={https://geomatejournal.com/geomate/article/view/2598}, abstractNote={<p>Practical evidence demonstrating the effectiveness of holistic landscape planning is limited because comprehensive decision-making is misunderstood as depriving individual sectors’ authority and budgets. The author compared two municipalities’ difference of recovery speed and the quality of relocation housing;Shinchi town and Soma city, which are this project subjects, had contrastingplanning processes from2011 Japan Earthquake and Tsunami disaster. Shinch town has recovered by bottom-upthe planning process and the author’s natural disaster risk analysis, which based on 1969’s McHarg’s landscape planning principle. Whereas, Soma city has recovered by the top-down planning process, which was the same method as other municipalities affected by the tsunami. In this test, 263 students evaluated relocation houses’ prices without any information about differences of the planning process. The author analyzed subjects’ attribute data that could potentially affect their evaluation: sex, the environment in childhood, etc. T-test and multiple regression analysis were performed to evaluate the effects ofdifferences of the planning process for the value of the house. Welch’s T-test found the mean of relocation residential WTP ($). Shinchi town’s house (mean=$185400) was significantly higher than that of Soma city (mean=$157680. t=15.9, p<2.2e-16 (two-tailed), d.f.=3622.1), $1=¥100). Multiple linear regression was calculated to predict [WTP], based on [USP:Under Shinchi town planning process] and [VDD:Volunteer or donation to a disaster area]. (Predicted WTP is equal to [150200] + [+27700] ([USP]) + [+8176] ([VDD]). [USP] is coded as [Shinchi:1 or Soma:0], and [VDD] is coded as [Yes:1, No:0].). These findings can help us in recovery planning from disasters.</p>}, number={56}, journal={GEOMATE Journal}, author={Misato Uehara}, year={2019}, month={Apr.}, pages={92–97} }