Literature DB >> 30590303

Uncertainty analysis of remediation cost and damaged land value for brownfield investment.

I-Chun Chen1, Yu-Yu Chuo2, Hwong-Wen Ma3.   

Abstract

Flexible land management that allows risk-based remediation approaches can increase local financial assistance in brownfield development investments. The evaluation of brownfields investment has always been mired in uncertainty because of the complexity of contamination and land policy. To clarify the uncertainty in investment costs resulting from a flexible risk-based land management, this research analyzes the uncertainty of remediation costs (Ir) and damaged land value (Ip). Sizable statistical data for 30,000 abandoned factories in Taiwan are used to derive the uncertainty of investment cost. The results show that the range and value of the uncertainty of Ip is more than Ir because the present land value and the change in flexible land management are the main sensitivity factors. The saved investment costs at the 90% confidence interval ranges five orders of magnitude. Moreover, investors could have saved approximately 5.74E+13 USD resulting from Ip and Ir. The study's two major findings with regard to investment risk in brownfield redevelopment are: (1) an explanation of the extent to which investment costs are to be reduced for investors by adjusting remediation goals depending on different land types; (2) characterization of the uncertainty of brownfields in the real investment market for brownfield redevelopment.
Copyright © 2018 Elsevier Ltd. All rights reserved.

Keywords:  Brownfield redevelopment; Converted land; Flexible land management; Real investment market; Risk assessment; Uncertainty

Mesh:

Year:  2018        PMID: 30590303     DOI: 10.1016/j.chemosphere.2018.12.116

Source DB:  PubMed          Journal:  Chemosphere        ISSN: 0045-6535            Impact factor:   7.086


  1 in total

1.  Sustainable Land-Use Allocation Model at a Watershed Level under Uncertainty.

Authors:  Yao Lu; Min Zhou; Guoliang Ou; Zuo Zhang; Li He; Yuxiang Ma; Chaonan Ma; Jiating Tu; Siqi Li
Journal:  Int J Environ Res Public Health       Date:  2021-12-20       Impact factor: 3.390

  1 in total

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