Estimating Housing Mortality from Loss Records

Abstract

A life table for housing is developed with the use of 1979–1980 loss data for one to three unit structures in Indianapolis, IN. Special attention is paid to methods of data collection and to estimation techniques. Use of the life table and assumptions made in its application are stressed. Also, standard loss projection curves are tested against life table results.

The Mortality of New Zealand Housing Stock

“…The dynamic life expectancy of a dwelling cohort upon entry (dleHx) is defined herein to be the average number of service years remaining to be provided by those dwellings which are still standing at the beginning of an age interval x and x+n when the housing stock is exposed to an assumed probability of loss schedule (H) over the economic life span (w) of the dwelling cohort. the average expansion rate of New Zealand housing stock has and economic life span of Indianapolis housing stock are estimated to be lo0 years and 150 years respectively [2]. The fmdings of the New Zealand study support Gleeson's pioneering study that dwellings depart from housing stock at all ages and that the distribution of these dwelling losses over an economic life span follows the general shape of a bell m e with a skew to the left.…”

“…Gleeson has demonsrrated that life table models of classical population dynamics can also be applied to housing stock by estimating the mortality of a sample of Indianapolis housing stock [2]. The direct method Gleeson used requires data on both dwelling losses by age and survivorship in order to construct a housing stock life table.…”

An ultrametric interpretation of building related event data

“…To name only a few examples from the literature, the first method is probably ubiquitous (where available); the second has been used by Gleeson (1985Gleeson ( , 1986, Johnstone (2001aJohnstone ( , 2001b and by Meinen et al (1998); random sampling was used in Bradley and Kohler (2007) and Kohler et al (1999); and the physical model approach in Bergsdal et al (2007) and Sartori et al (2008).…”