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Abstract: Based on Geographic Information Systems (GIS) analysis, this paper assesses the defensibility of winter village sites in the Mid-Fraser region on the Canadian Plateau during the Late Prehistoric Period (ca. 3500–200 B.P.), particularly the Plateau and Kamloops Horizons (ca. 2400–200 B.P.). Although there is variability in prehistoric village locations in terms of defensibility, highly defensible prehistoric sites in the Mid-Fraser region are concentrated in two localities. The high defensive values of these village sites indicate that the threat of intergroup conflict had a significant impact on choice of settlement location. The approach used in this paper demonstrates the importance of past defensive considerations in the decision making processes pertaining to settlement locations. As conflict is a common feature of many cultures and time periods throughout the world, this approach has potential applications to other defensive sites globally. [Copyright &y& Elsevier]

This paper examines consumers' knowledge and lifestyle profiles and preferences regarding two environmentally labeled food staples, potatoes and ground beef. Data from online choice experiments conducted in Canada and Germany are analyzed through latent class choice modeling to identify the influence of consumer knowledge (subjective and objective knowledge as well as usage experience) on environmentally sustainable choices. We find that irrespective of product or country under investigation, high subjective and objective knowledge levels drive environmentally sustainable food choices. Subjective knowledge was found to be more important in this context. Usage experience had relatively little impact on environmentally sustainable choices. Our results suggest that about 20% of consumers in both countries are ready to adopt footprint labels in their food choices. Another 10-20% could be targeted by enhancing subjective knowledge, for example through targeted marketing campaigns. [ABSTRACT FROM AUTHOR]

Abstract: Decision making in land management can be greatly enhanced if the perspectives of concerned stakeholders are taken into consideration. This often implies negotiation in order to reach an agreement based on the examination of multiple alternatives. This paper describes a spatial web/agent-based modeling system that was developed to support the negotiation process of stakeholders regarding land development in southern Alberta, Canada. This system integrates a fuzzy analytic hierarchy procedure within an agent-based model in an interactive visualization environment provided through a web interface to facilitate the learning and negotiation of the stakeholders. In the pre-negotiation phase, the stakeholders compare their evaluation criteria using linguistic expressions. Due to the uncertainty and fuzzy nature of such comparisons, a fuzzy Analytic Hierarchy Process is then used to prioritize the criteria. The negotiation starts by a development plan being submitted by a user (stakeholder) through the web interface. An agent called the proposer, which represents the proposer of the plan, receives this plan and starts negotiating with all other agents. The negotiation is conducted in a step-wise manner where the agents change their attitudes by assigning a new set of weights to their criteria. If an agreement is not achieved, a new location for development is proposed by the proposer agent. This process is repeated until a location is found that satisfies all agents to a certain predefined degree. To evaluate the performance of the model, the negotiation was simulated with four agents, one of which being the proposer agent, using two hypothetical development plans. The first plan was selected randomly; the other one was chosen in an area that is of high importance to one of the agents. While the agents managed to achieve an agreement about the location of the land development after three rounds of negotiation in the first scenario, seven rounds were required in the second scenario. The proposed web/agent-based model facilitates the interaction and learning among stakeholders when facing multiple alternatives. [Copyright &y& Elsevier]

Groundwater is widely used as a source of drinking water in North America. However, it can be contaminated by microbial or chemical agents potentially hazardous to human health. In recent decades, governments have developed better knowledge of groundwater and established measures to protect and preserve the resource. Several studies have shown that relevant information on groundwater might prove very useful for regional planning purposes. However, there is little information on how groundwater information contributes to decision making in urban and regional planning in Canada and the United States. The objective of this study is to explore the level of use of groundwater information for land use planning purposes in Canada and the United States and to identify the factors that may explain why some provinces or states are more proactive than others when it comes to using such data for groundwater protection purposes. This paper presents the results of a survey sent across North America to groundwater information producers. The resulting data from the survey were examined using descriptive analyses and multiple correspondence analysis, and illustrate how groundwater data can be integrated into land planning. [Copyright &y& Elsevier]

Abstract: Evolutionary simulation-optimization (ESO) techniques can be adapted to model a wide variety of problem types in which system components are stochastic. Grey programming (GP) methods have been previously applied to numerous environmental planning problems containing uncertain information. In this paper, ESO is combined with GP for policy planning to create a hybrid solution approach named GESO. It can be shown that multiple policy alternatives meeting required system criteria, or modelling-to-generate-alternatives (MGA), can be quickly and efficiently created by applying GESO to this case data. The efficacy of GESO is illustrated using a municipal solid waste management case taken from the regional municipality of Hamilton-Wentworth in the Province of Ontario, Canada. The MGA capability of GESO is especially meaningful for large-scale real-world planning problems and the practicality of this procedure can easily be extended from MSW systems to many other planning applications containing significant sources of uncertainty. [Copyright &y& Elsevier]