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the way in which wider municipal-level decisions and relationships influence adoption procedures. Fourth, the argument turns towards temporality, to understand the way in which previous experience with similar forms of knowledge enables a more rapid adoption when the importing locality is ready. These discussions inform the key findings of this book.

      Tracing through Policy Models

      Policy mobilities scholarship studies how policies move. A geographically based understanding extends beyond merely classifying the thing moving and instead considers how policy models travel and what happens along the way (Peck and Theodore 2010a; McCann and Ward 2011). A brief review of the etymology of “policy model” presents it as a “complex social construction (no less ‘real’ for all that) which can only be understood by studying both its apparent ‘internal’ characteristics and simultaneously, its ‘external’ relations, which are co-constituted” (McCann and Ward 2013: 4). The term “model” is generally defined as “a way of doing something from which others learn” (McCann and Ward 2013: 3). McCann (2011a) uses the terminology “policies” to describe the formally drafted guidelines for governance, “policy models” for the statements of ideal policies and “policy knowledge” as the expertise about good policymaking and implementation. Policy mobilities theorists use a neo-Foucauldian lens to frame the role of governmental technologies and rationalities in shaping contemporary urban–global political economies. They emphasize the seemingly mundane techniques, discourses, representations, and practices through which policy models are made up. For the purposes of this book, a policy model is any form of circulated knowledge perceived to be affiliated with another city, individual or government that when introduced is assumed to be an improvement over its predecessor. Such a broad definition is illustrative of my overall approach, which emphasizes the relational co-production of the material and social aspects of local and global policymaking.

      Sometimes policies are only adopted after they have been reshaped to suit the needs of the importing locality. A pivotal study by González (2011) looks at how urban regeneration models travel and mutate, by considering the influence of Bilbao and Barcelona to fit the needs of a diversity of adopting localities. These cities abstract their locally developed plans and programs by building complex systems to package the model through workbooks and the requisite set of site visits needed to promote themselves as role models. Some elements of the exported model may not be suited for the importing locality, so it is adapted for its new context. Robinson (2011) concludes then that policy models are always subject to negotiation as they are circulated and practiced at the local level. Yet, relatively little is known about how these processes of mutation take place. The discussion in Chapter 3 adds a critical contribution to the policy mobilities field, by revealing the way in which models mutate as they travel, at times becoming stylized versions of themselves.

      Tracing the origins of a policy model reveals that adopting localities are attracted to the city-wide outcomes promised to accompany the model. Business improvement districts for example only become policy models and move elsewhere because their achievements are visible. In this case, the maintenance, promotion and security services result in cleaner, safer commercial districts, achievements easily advertised to needy property owners, developers and government actors in localities in another city. In Chapter 3, I argue that policy models move because of their association with elsewhere, which enables their reproduction in spite of different geopolitical conditions in the importing locality. My approach casts doubt on the extent to which a model can be faithfully duplicated elsewhere, and instead considers the ways in which its immaterial features encourage locally contingent policymaking, loosely based on the achievements elsewhere.

      Chapter 3 traces the global geography of BRT to understand what features attracted South African policymakers to this international best practice, and in so doing reflects on the theoretical notion of policy models and their process of mobilization, mutation and translation. Moving away from the assumption that policy models provide a technological template for best practice reproduction, this book considers the way in which the policy introduced differs from the one at its site of origin. The empirical focus reveals that Bogotá model of BRT was not duplicated in South African cities but rather a variation, which focuses on the transformation of the minibus taxi system emerged. This suggests that policy models are polysemic and rather than duplicate, they modify and mutate to suit the needs of each importing jurisdiction. The adoption of best practice therefore takes place only when aspects of the circulating notion transform and combine with underlying conditions, thereby normalizing the particular technical arrangements and social rationalities for adoption. In concluding Chapter 3, it will be evident that human actors are central in the circulation and adoption of policy models, considerations that are the subject of the next section.

      Tracing through Actors and Associations

      Building on the debates around traveling urban policies, I argue that people and their associations drive learning and policy mobilities. Policy actors, including both state and non-state actors as well as architects and engineers (Rapoport and Hult 2017), consultants (Wood 2019b), philanthropists (Stone 2010) and so forth, frequently look elsewhere to detect, decode and distribute best policy practices (Cook 2008; Dolowitz and Marsh 2000; McCann 2008, 2011a; Theodore and Peck 2001; Wolman 1992; Wolman and Page 2002). The background, experiences, economic, and political position of each policy actor influence their decisions. Therefore, explorations of agency and power are important in understanding the way in which global and

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