Conversion Potential Assessment Tools

Book Chapter (2018)
Author(s)

Rob P. Geraedts (Design & Construction Management)

Theo van der Voordt (TU Delft - Real Estate Management)

Hilde Remoy (TU Delft - Real Estate Management)

Copyright
© 2018 Rob P. Geraedts, Theo van der Voordt, H.T. Remøy
DOI related publication
https://doi.org/10.1002/9781119231455.ch7
More Info
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Publication Year
2018
Language
English
Copyright
© 2018 Rob P. Geraedts, Theo van der Voordt, H.T. Remøy
Pages (from-to)
1-22
ISBN (print)
978-1-119-23142-4
Reuse Rights

Other than for strictly personal use, it is not permitted to download, forward or distribute the text or part of it, without the consent of the author(s) and/or copyright holder(s), unless the work is under an open content license such as Creative Commons.

Abstract

Building owners and other stakeholders can adopt different strategies to cope with vacancy, such as consolidation, rent reduction, selling the building, renovation, transformation and conversion to adapted reuse, or demolish and build a new building. This chapter discusses various tools to cope with vacancy by adaptive reuse. It presents an overview of the many factors and aspects that enable or hinder adaptive reuse by conversion of (office) buildings into housing, and how to assess the characteristics of the market, location, building and involved stakeholders. Furthermore, it presents the Conversion Meter, a tool to assess the conversion potential of vacant office buildings into housing. The tool is built up from a first quick scan using veto criteria (Step 1) till a more detailed scan of the conversion potential based on gradual criteria (Step 2). No single gradual criterion is sufficient to decide if conversion is possible or not; it is the combination of all criteria i.e. the sum that provides a valuable indicator for the conversion potential. Step 3 calculates a conversion potential score as a weighted sum of all criteria. Step 4 is a scan on financial feasibility. The final Step 5 is a check on possible risks and opportunities to eliminate these risks. The chapter continues with lessons learned from case studies by applying the Conversion Meter.

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