This study explores the potential of applying Canadian experiences of brownfield redevelopment to Chinese practices by investigating three cases: City of Kitchener, City of Hamilton and City of Dalian. Data collection methods in this research contain interviews, on-site observations and document collection and review. Both Kitchener and Hamilton have achieved considerable success in redeveloping brownfields largely due to government’s persistent commitment, various financial incentives through CIP, effective marketing efforts, and good public-private partnerships. These factors are regarded as successful municipal experiences based on the assumption that all municipal programs/approaches should be considered “successful” if the redevelopment occurs as opposed to the no-action alternative. Brownfields in Dalian are being formed, purchased and redeveloped in a different way from their Canadian counterparts. Dalian confronts different challenges such as high environmental risks and lacking detailed historic site information and community support. After comparing Canadian and Chinese practices, the study concludes that the successful municipal experiences of Kitchener and Hamilton are meaningful references to Dalian’s practice. Especially, public-private partnerships, marketing of brownfield programs and brownfield coordinators can help Dalian to create community support, improve the regulatory environment, and reshape the City’s public image. The SSRA approach used in Canada to develop appropriate clean-up criteria for a brownfield site may also be a useful technique for Dalian. Nevertheless, upper levels of Chinese government must take hard efforts in rule-making, regulating and planning in order to maintain economic growth while at the same time ensuring public safety/health in brownfield redevelopment. In addition, the researcher raises several constructive suggestions to China’s brownfield practice based on key findings from the field research.

This study explores the potential of applying Canadian experiences of brownfield redevelopment to Chinese practices by investigating three cases: City of Kitchener, City of Hamilton and City of Dalian. Data collection methods in this research contain interviews, on-site observations and document collection and review. Both Kitchener and Hamilton have achieved considerable success in redeveloping brownfields largely due to government’s persistent commitment, various financial incentives through CIP, effective marketing efforts, and good public-private partnerships. These factors are regarded as successful municipal experiences based on the assumption that all municipal programs/approaches should be considered “successful” if the redevelopment occurs as opposed to the no-action alternative. Brownfields in Dalian are being formed, purchased and redeveloped in a different way from their Canadian counterparts. Dalian confronts different challenges such as high environmental risks and lacking detailed historic site information and community support. After comparing Canadian and Chinese practices, the study concludes that the successful municipal experiences of Kitchener and Hamilton are meaningful references to Dalian’s practice. Especially, public-private partnerships, marketing of brownfield programs and brownfield coordinators can help Dalian to create community support, improve the regulatory environment, and reshape the City’s public image. The SSRA approach used in Canada to develop appropriate clean-up criteria for a brownfield site may also be a useful technique for Dalian. Nevertheless, upper levels of Chinese government must take hard efforts in rule-making, regulating and planning in order to maintain economic growth while at the same time ensuring public safety/health in brownfield redevelopment. In addition, the researcher raises several constructive suggestions to China’s brownfield practice based on key findings from the field research.

Conflict analysis tools are applied to brownfield negotiations in order to investigate the impacts of coalition formation and a decision maker’s (DM’s) attitudes upon the successful resolution of brownfield disputes. The concepts of attitudes within the Graph Model for Conflict Resolution (GMCR) is defined and subsequently are used, along with coalition analysis methods, to examine the redevelopment of the Kaufman Lofts property and the resolution of a post-development dispute involving Eaton’s Lofts, both located in downtown Kitchener, Ontario, Canada. Within the model of the Kaufman Lofts redevelopment, the project is broken down into three connected project conflicts: property acquisition, remediation selection and redevelopment; with the graph model applied to all three conflict nodes. The application of attitudes shows the impact of cooperation between local governments and private developers in the formation of a coalition that mutually benefits all parties. Coalition analysis, applied to the redevelopment selection conflict between Heritage Kitchener and the private developer in the Kaufman Lofts project, illustrates the importance of close collaboration between the local government and the developer. Systems methodologies implemented here for the examination of brownfield redevelopments are examined and contrasted with the economic and environmental tools commonly used in the redevelopment industry. Furthermore, coalition formation within GMCR is used to examine the negotiation of the Kyoto Protocol, to demonstrate that formal conflict resolution methods can be utilized in other areas of environmental management.

Conflict analysis tools are applied to brownfield negotiations in order to investigate the impacts of coalition formation and a decision maker’s (DM’s) attitudes upon the successful resolution of brownfield disputes. The concepts of attitudes within the Graph Model for Conflict Resolution (GMCR) is defined and subsequently are used, along with coalition analysis methods, to examine the redevelopment of the Kaufman Lofts property and the resolution of a post-development dispute involving Eaton’s Lofts, both located in downtown Kitchener, Ontario, Canada. Within the model of the Kaufman Lofts redevelopment, the project is broken down into three connected project conflicts: property acquisition, remediation selection and redevelopment; with the graph model applied to all three conflict nodes. The application of attitudes shows the impact of cooperation between local governments and private developers in the formation of a coalition that mutually benefits all parties. Coalition analysis, applied to the redevelopment selection conflict between Heritage Kitchener and the private developer in the Kaufman Lofts project, illustrates the importance of close collaboration between the local government and the developer. Systems methodologies implemented here for the examination of brownfield redevelopments are examined and contrasted with the economic and environmental tools commonly used in the redevelopment industry. Furthermore, coalition formation within GMCR is used to examine the negotiation of the Kyoto Protocol, to demonstrate that formal conflict resolution methods can be utilized in other areas of environmental management.

A risky project evaluation technique called the fuzzy real options analysis is developed to evaluate brownfield redevelopment projects. Other decision making techniques, such as multiple criteria analysis and conflict analysis, can be incorporated into fuzzy real options analysis to facilitate negotiations on brownfield redevelopment among decision makers (DMs). The value of managerial flexibility, which is important in negotiations and policy making for brownfield redevelopment, is overlooked when the traditional evaluation method, net present value (NPV), is employed. Findings of this thesis can be used to promote brownfield redevelopment, thereby helping to eliminate environmental threats and enhance regional sustainability. A brownfield is an abandoned or underutilized property that contains, or may contain, pollutants, hazardous substances, or contaminants from previous usage, typically industrial activity. Brownfields often occur when the local economy transits from industrial to service-oriented seeking more profit. Governments actively promote brownfield redevelopment to eliminate public health threats, help economic transition, and enhance sustainability. However, developers are reluctant to participate in brownfield redevelopment because they often regard these projects as unprofitable when using classic evaluation techniques. On the other hand, case studies show that brownfield redevelopment projects can be good business opportunities for developers. An improved evaluation method is developed in order to estimate the value of a brownfield more accurately. The main reason that makes the difference between estimates and ''actual'' values lies in the failure of the deterministic project evaluation tool to price the value of uncertainty, which leads to efforts to enhance the decision making under uncertainty. Real options modelling, which extends the ability of option pricing models in real asset evaluation, is employed in risky project evaluation because of its capacity to handle uncertainties. However, brownfield redevelopment projects contain uncertain factors that have no market price, thus violating the assumption of option pricing models for which all risks have been reflected in the market. This problem, called private risk, is addressed by incorporating fuzzy numbers into real options in this thesis, which can be called fuzzy real options. Fuzzy real options are shown to generalize the original model to deal with additional kinds of uncertainties, making them more suitable for project evaluation. A numerical technique based on hybrid variables is developed to price fuzzy real options. We proposed an extension of Least Squares Monte-Carlo simulation (LSM) that produces numerical evaluations of options. A major advantage of this methodology lies in its ability to produce results regardless of whether or not an analytic solution exists. Tests show that the generalized LSM produces similar results to the analytic valuation of fuzzy real options, when this is possible. To facilitate parameter estimation for the fuzzy real options model, another numerical method is proposed to represent the likelihood of contamination of a brownfield using fuzzy boundaries. Linguistic quantifiers and ordered weighted averaging (OWA) techniques are utilized to determine the likelihood of pollution at sample locations based on multiple environmental indicators, acting as a fuzzy deduction rule to calculate the triangle membership functions of the fuzzy parameters. Risk preferences of DMs are expressed as different ''ORness'' levels of OWA operators, which affect likelihood estimates. When the fuzzy boundaries of a brownfield are generated by interpolation of sample points, the parameters of fuzzy real options, drift rate and volatility, can be calculated as fuzzy numbers. Hence, this proposed method can act as an intermediary between DMs and the fuzzy real options models, making this model much easier to apply. The values of DMs to a brownfield can be input to the graph model for conflict resolution (GMCR) to identify possible resolutions during brownfield redevelopment negotiation among all possible states, or combinations of DMs' choices. Major redevelopment policies are studied using a brownfield redevelopment case, Ralgreen Community in Kitchener, Ontario, Canada. The fuzzy preference framework and probability-based comparison method to rank fuzzy variables are employed to integrate fuzzy real options and GMCR. Insights into this conflict and general policy suggestions are provided. A potential negotiation support system (NSS) implementing these numerical methods is discussed in the context of negotiating brownfield redevelopment projects. The NSS combines the computational modules, decision support system (DSS) prototypes, and geographic information systems (GIS), and message systems. A public-private partnership (PPP) will be enhanced through information sharing, scenario generation, and conflict analysis provided by the NSS, encouraging more efficient brownfield redevelopment and leading to greater regional sustainability. The integrated usage of fuzzy real options, OWA, and GMCR takes advantage of fuzziness and randomness, making better evaluation technique available in a multiple DMs negotiation setting. Decision techniques expand their range from decision analysis, multiple criteria analysis, to a game-theoretic approach, contributing to a big picture on decision making under uncertainty. When these methods are used to study brownfield redevelopment, we found that creating better business opportunities, such as allowing land use change to raise net income, are more important in determining equilibria than remediation cost refunding. Better redevelopment policies can be proposed to aid negotiations among stakeholders.

Brownfield redevelopment is called upon to remedy damaged ecological, economic, and social conditions due to contamination from prior land use(s). It can be utilized as a means for revitalizing low-income neighborhoods and communities of color that have suffered from years of economic disinvestment and a polluted environment. Critics of brownfield redevelopment in low-income neighborhoods argue that this form of revitalization can backfire when property values and rental prices rise and existing residents are pushed out. The City of Oakland has demonstrated a form of inclusionary brownfield redevelopment that incorporates housing that is affordable to existing residents in the area and thus avoiding the form of exclusionary housing witnessed in other cases of brownfield redevelopment in central cities. This report builds on the hypothesis that inclusionary brownfield redevelopments in Oakland can serve as a model approach for other cities in preventing displacement of lower income, residents of color through gentrification. / text

A risky project evaluation technique called the fuzzy real options analysis is developed to evaluate brownfield redevelopment projects. Other decision making techniques, such as multiple criteria analysis and conflict analysis, can be incorporated into fuzzy real options analysis to facilitate negotiations on brownfield redevelopment among decision makers (DMs). The value of managerial flexibility, which is important in negotiations and policy making for brownfield redevelopment, is overlooked when the traditional evaluation method, net present value (NPV), is employed. Findings of this thesis can be used to promote brownfield redevelopment, thereby helping to eliminate environmental threats and enhance regional sustainability. A brownfield is an abandoned or underutilized property that contains, or may contain, pollutants, hazardous substances, or contaminants from previous usage, typically industrial activity. Brownfields often occur when the local economy transits from industrial to service-oriented seeking more profit. Governments actively promote brownfield redevelopment to eliminate public health threats, help economic transition, and enhance sustainability. However, developers are reluctant to participate in brownfield redevelopment because they often regard these projects as unprofitable when using classic evaluation techniques. On the other hand, case studies show that brownfield redevelopment projects can be good business opportunities for developers. An improved evaluation method is developed in order to estimate the value of a brownfield more accurately. The main reason that makes the difference between estimates and ''actual'' values lies in the failure of the deterministic project evaluation tool to price the value of uncertainty, which leads to efforts to enhance the decision making under uncertainty. Real options modelling, which extends the ability of option pricing models in real asset evaluation, is employed in risky project evaluation because of its capacity to handle uncertainties. However, brownfield redevelopment projects contain uncertain factors that have no market price, thus violating the assumption of option pricing models for which all risks have been reflected in the market. This problem, called private risk, is addressed by incorporating fuzzy numbers into real options in this thesis, which can be called fuzzy real options. Fuzzy real options are shown to generalize the original model to deal with additional kinds of uncertainties, making them more suitable for project evaluation. A numerical technique based on hybrid variables is developed to price fuzzy real options. We proposed an extension of Least Squares Monte-Carlo simulation (LSM) that produces numerical evaluations of options. A major advantage of this methodology lies in its ability to produce results regardless of whether or not an analytic solution exists. Tests show that the generalized LSM produces similar results to the analytic valuation of fuzzy real options, when this is possible. To facilitate parameter estimation for the fuzzy real options model, another numerical method is proposed to represent the likelihood of contamination of a brownfield using fuzzy boundaries. Linguistic quantifiers and ordered weighted averaging (OWA) techniques are utilized to determine the likelihood of pollution at sample locations based on multiple environmental indicators, acting as a fuzzy deduction rule to calculate the triangle membership functions of the fuzzy parameters. Risk preferences of DMs are expressed as different ''ORness'' levels of OWA operators, which affect likelihood estimates. When the fuzzy boundaries of a brownfield are generated by interpolation of sample points, the parameters of fuzzy real options, drift rate and volatility, can be calculated as fuzzy numbers. Hence, this proposed method can act as an intermediary between DMs and the fuzzy real options models, making this model much easier to apply. The values of DMs to a brownfield can be input to the graph model for conflict resolution (GMCR) to identify possible resolutions during brownfield redevelopment negotiation among all possible states, or combinations of DMs' choices. Major redevelopment policies are studied using a brownfield redevelopment case, Ralgreen Community in Kitchener, Ontario, Canada. The fuzzy preference framework and probability-based comparison method to rank fuzzy variables are employed to integrate fuzzy real options and GMCR. Insights into this conflict and general policy suggestions are provided. A potential negotiation support system (NSS) implementing these numerical methods is discussed in the context of negotiating brownfield redevelopment projects. The NSS combines the computational modules, decision support system (DSS) prototypes, and geographic information systems (GIS), and message systems. A public-private partnership (PPP) will be enhanced through information sharing, scenario generation, and conflict analysis provided by the NSS, encouraging more efficient brownfield redevelopment and leading to greater regional sustainability. The integrated usage of fuzzy real options, OWA, and GMCR takes advantage of fuzziness and randomness, making better evaluation technique available in a multiple DMs negotiation setting. Decision techniques expand their range from decision analysis, multiple criteria analysis, to a game-theoretic approach, contributing to a big picture on decision making under uncertainty. When these methods are used to study brownfield redevelopment, we found that creating better business opportunities, such as allowing land use change to raise net income, are more important in determining equilibria than remediation cost refunding. Better redevelopment policies can be proposed to aid negotiations among stakeholders.

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Emerging trends in the re-inhabitation of central cities and government funding of numerous financial incentives have succeeded in making brownfield redevelopment a far more lucrative opportunity for developers over the past decade. However, the redevelopment process itself remains virtually unchanged, maintaining a narrow focus on environmental remediation, site engineering, and short-term market demand. Land use, instead of design, drives the entire process. This approach fails to sustain development and recognize larger redevelopment opportunities based on local and regional context. Despite an increasing amount of public money used to fund incentives, development continues to overlook potential positive externalities presumably to avert risk and increase feasibility. The purpose of this thesis is to re-examine brownfield redevelopment from the perspective of urban design in order to define ways in which design might offer solutions to these shortcomings and play a more critical role in future redevelopments. Using case studies of past redevelopments of former auto plant sites, Landscape Urbanism in brownfield redevelopment, and design proposals for auto plant sites from the GM and Ford closings of 2005-2006, the thesis investigates three primary questions. First, what is the conventional brownfield redevelopment process, to what extent has urban design been involved, and what are the major issues and lessons that can be learned? Secondly, what examples of brownfield redevelopment have integrated urban design to addresses these issues and what are the specific principles that inform design? Finally, how can urban design strategies, based on principles of Landscape Urbanism, lead the redevelopment of brownfield sites?