ISGMIsabella Stewart Gardner Museum (Boston, Massachusetts)
ISGMInternational School of General Management (Germany)
ISGMInternational Studies of Global Management
Copyright 1988-2018, All rights reserved.
References in periodicals archive ?
The ISGM was applied to a subset of block groups to predict the net ISG associated with hypothetical increases in housing units and employees.
Overall, the ISGM appears to be a valid basis for estimating net impervious surface growth across a wide range of urban, suburban, and rural conditions.
We developed a simple spreadsheet-based tool to provide access to the ISGM algorithms and to facilitate evaluation of the predicted effect of proposed development on net impervious surface growth.
The ISGM User Interface is intended to allow bulk entry of block group development scenarios and return estimates of the net ISG associated with each scenario.
In conclusion, we discuss how effectively the ISGM addresses requirements laid out at the beginning of this paper.
We believe the ISGM represents a significant advancement in meeting the unmet scenario analysis needs described earlier in this paper.
The ISGM supports scenario analysis throughout the contiguous United States.
The ISGM returns an estimate of the net impervious surface growth per change in units of housing units and employees.
The ISGM input parameters include development density (housing units per unprotected acre and employees per unprotected acre) and jobs within a 30-mile radius (an indicator regional centrality).
The ISGM implicitly accounts for off-site impervious surface growth (e.g., roads, other infrastructures) that is within the block group where development occurs.
The ISGM interface has been developed to provide simple access to the ISGM and allow a large number of scenarios to be processed efficiently.
Although limitations have been identified, the ISGM generally is considered to provide reliable estimates of net impervious surface growth to support planning-level scenario analysis across a wide range of urban, suburban, and rural conditions.