1993; Karp 1996; Schultz and Zelenzy 1998; Milfont 2003; Poorting

1993; Karp 1996; Schultz and Zelenzy 1998; Milfont 2003; Poortinga et al. 2004). Several variables that are specific to sharing resources and supporting policy where also included: climate change risk perception, perceived social capital, self-reported political participation, and a Commons Dilemma variable that measures how much an individual trusts the citizens of their own city or another city to share resources in

a period scarcity. Finally, common demographic variables were included and hypothesized to follow previously determined patterns (Stern et al. 1993): Younger Democratic women would be more likely to vote for a PAIRS policy. Contextual variables included home ownership and years of local residence. Individuals with a longer history of ownership within the community were expected MAPK inhibitor to have a greater interest in the long-term success and sustainable growth of the community, and thus support reciprocal sharing initiatives to a greater extent than a transient rental tenant. Results PAIRS metric analysis The PAIRS metric can be applied to specific cities to highlight areas of mutual check details sustainability benefits. To establish a baseline and evaluate the effectiveness of

the PAIRS metric, a pairwise analysis was conducted with 10 southern California cities listed in Table 2. These cities were

initially selected due to the amount of publically available data on local resources and sustainability practices. However, insufficient data existed in the public domain to complete the PAIRS metric analysis. Proxy data and regional averages were applied to fill data gaps. Due to the extent of proxy data utilized, the resulting conclusions cannot be supported for these specific city combinations, but they do represent a range of archetypal cities common to urban areas in the United States and around the world. ID-8 The distribution of existing sustainability for each city varied across all five sectors as shown in Fig. 1. The cities chosen varied widely in terms of scale, primary industry, and interest in sustainability. Natural factors such as propensity for SGC-CBP30 solubility dmso drought, available natural resources, open land space, and distance from neighboring cities played a distinct role in the potential for synergistic partnerships. As many of these features can differ between cities of the same scale and industry, these 10 cities do not capture every possible scenario, but are useful in demonstrating the application of the PAIRS metric.

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