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Systems approaches for localising the SDGs: co-production of place-based case studies

Abstract

Background

Localisation is a pervasive challenge in achieving sustainable development. Contextual particularities may render generalized strategies to achieve the Sustainable Development Goals (SDGs) unfeasible, impractical, or ineffective. Furthermore, many localities are resource- and data-poor, limiting applicability of the global SDG indicator framework. Tools to enable local actors to make sense of complex problems, communicate this understanding, and act accordingly hold promise in their ability to improve results.

Aim

Systems approaches can help characterise local causal systems, identify useful leverage points, and foster participation needed to localise and catalyse development action. Critically, such efforts must be deeply rooted in place, involving local actors in mapping decision-processes and causation within local physical, social and policy environments. Given that each place has a unique geographical or spatial extent and therein lies its unique characters and problems, we term these activities “placially explicit.” We describe and reflect on a process used to develop placially explicit, systems-based (PESB) case studies on issues that intersect with and impact urban health and wellbeing, addressing the perspectives of various actors to produce place-based models and insights that are useful for SDG localisation.

Methods

Seven case studies were co-produced by one or more Partners with place-based knowledge of the case study issue and a Systems Thinker. In each case, joint delineation of an appropriate framing was followed by iterative dialogue cycles to uncover key contextual factors, with attention to institutional and societal structures and paradigms and the motivations and constraints of other actors. Casual loop diagrams (CLDs) were iteratively developed to capture complex narratives in a simple visual way.

Results

Case study development facilitated transfer of local knowledge and development of systems thinking capacity. Partners reported new insights, including a shifting of problem frames and corresponding solution spaces to higher systems levels. Such changes led partners to re-evaluate their roles and goals, and thence to new actions and strategies. CLD-based narratives also proved useful in ongoing communications.

Conclusion

Co-production of PESB case studies are a useful component of transdisciplinary toolsets for local SDG implementation, building the capacity of local actors to explore complex problems, identify new solutions and indicators, and understand the systemic linkages inherent in SDG actions across sectors and scales.

Background

Translating SDGs into local contexts

The United Nations Sustainable Development Goals (SDGs) were adopted in 2015 as a globally agreed vision for advancing the conditions of people and planet while ensuring that no one is left behind. Because health is central to and deeply interlinked with sustainable development [1], progress toward these goals is essential for creating physical, social and policy environments that will sustain and enhance health and wellbeing. Realising such progress will require action at local scales; yet localisation involves more than just local application of high-level agendas. Rather, SDG localisation encompasses local agenda setting, decision-making, and process monitoring with locally adapted indicators, which together generate the ownership necessary for successful SDG implementation at local scale. It is thus critical that the apparatus of sustainable development focus on being more responsive and relevant to local needs and aspirations.

Substantial difficulties exist in translating high-level SDG goals for local contexts, as evidenced by the literature on gaps between global indicators and local needs and understandings. Global indicators enable comparison between contexts but may sacrifice local validity [2, 3] and the ability to motivate action by reflecting local values [4, 5]. Furthermore, global indicators may be unusable at local scales where data, or the resources and capacity to obtain such data, are unavailable [2, 3]. The necessary development of SDG indicators that match locally available needs, values, and capacity is hampered by the same resource and capacity deficits that limit local application of global indicators. Furthermore, responsibilities and expertise are vertically and horizontally fragmented. This fragmentation frequently isolates local actors, depriving them of support and empowerment and thereby limiting meaningful participation and ownership. This is problematic given that participation, rooted in place as an organising principle, is critical for connecting domains such as urban planning and health [6,7,8] that are critical for SDG action.

Systems approaches for localisation

Despite shared emphases on contextual understanding and holistic approaches, systems thinking and place-based approaches have rarely, and only recently, been mentioned together in scientific literature [9,10,11]. They intersect in systems approaches [12,13,14,15], which are strategies for problem exploration, framing and solving that make use of systems thinking tools and methodologies in tandem with participatory engagement beyond the academy.

Systems thinking has been defined in various ways, with key elements including a consideration of interconnections, holistic rather than reductionist approaches, and exploration of dynamic and emergent behaviour arising from the action of feedback relationships [16]. Systems thinking provides tools for managing complexity by shifting problem frameworks from linear cause-effect interpretations toward an understanding of the larger context in which interventions might occur, how other actors might respond, and unintended consequences that might affect not only outcomes but also interventions themselves [17].

Place-based approaches are motivated by the idea that sustainability problems are often best understood by analysing human–environment interactions in specific locations and at relatively small scales. This is generally justified in terms of analytical tractability, or on the grounds that macro-scale approaches involve the sacrifice of process detail, or in the belief that human–environment interactions are strongly context-sensitive [18, 19]. An important critique of the local approach to sustainability issues is that action which is locally optimal may shift externalities to other scales, sectors, or locations. Systems thinking, with its emphasis on interconnectedness, can be a useful corrective to this.

Systems approaches make use of Causal Loop Diagrams (CLDs) and other systems thinking tools to enable participatory exploration of problems. In addressing local problems, a place-specific approach is critical, because problems manifest in unique ways in particular contexts. Although common contextual features are often shared across different settings, the interconnections and interdependencies between parts of systems (especially between people and environments) are often diverse, dynamic, and, most importantly, place-specific. Pre-existing social, cultural, economic, and environmental conditions in different places also play a significant role in determining the structure of causal chains [20]. Thus, lessons are not easily translated across contexts. Rather, efforts to address local problems—such as in SDG localisation—require a placially explicit understanding of the relationships and interconnections in that place.

In systems approaches, placially explicit understanding is achieved by engaging actors and stakeholders with systems tools for model- and narrative-building. These methodologies provide a common language that is a necessary part of any solution for overcoming disciplinary and organisational fragmentation and enabling diverse stakeholders to create shared narratives about important development issues [21]. A common language is critical to transdisciplinary work that integrates both academic researchers from different unrelated disciplines and non-academic participants to examine a common goal and create new knowledge and theory [22]. Narratives developed in transdisciplinary projects can advance localisation of the SDGs in various ways:

  • By facilitating the creation and communication of holistic understandings of complex socio-ecological issues [23].

  • By creating systems frameworks that are useful for evaluating likely leverage points and consequences of actions [24, 25], thus suggesting local SDG solutions and ways to parlay the SDGs into broader local development.

  • By fostering the development of relationships among actors, thus providing a pathway for developing the local, intersubjective, value-based indicators advocated by Burford et al. [4, 5] and enabling the integrated multi-level partnerships that have been identified as one of the key drivers for SDGs localisation [26, 27].

Transdisciplinary systems thinking workshops have been a typical vehicle for building systems thinking capacity and applying systems methodologies to local problem exploration [28, 29]. Such workshops facilitate transdisciplinary action, often by training participants to overcome disciplinary barriers, and can thereby serve as a vehicle for systems approaches. However, while valuable, such workshops are often resource-intensive, and may require the convening of large groups of stakeholders. Here, we describe and reflect on a complementary capacity-building process: co-development of placially explicit, systems-based (PESB) case studies. Such studies are well-suited to meet intersecting challenges of SDG localisation in ways that improve health and wellbeing, especially in low-resource and low-capacity settings.

Methods

While the urban environment, including land use and the built environment, is an important influence on health [30,31,32,33,34], the fields of urban planning and public health are limited in their interactions, the result of a long-standing divergence [6, 35]. Under the Systems Thinking and Place Based Methods for Healthier Malaysian Cities (SCHEMA) project, an effort to improve decision-making for urban health, PESB case studies were developed to demonstrate the value of systems approaches for improving understanding and developing narratives to address this and other such gaps, with the end goal of improved decision making. Simple CLDs were used to visually communicate the complex relationships among urban planning, public health, and other fields [21, 24]. These were combined with other written and visual elements to produce seven case studies (Table 1) aimed at policy-makers, which were launched at the 9th World Urban Forum (WUF9) in Kuala Lumpur, Malaysia.

Table 1 List of Case Studies

Case studies were co-produced by one or more partners with place-specific knowledge of the case study issue (“Partners”) and an expert in systems thinking (“Systems Thinker”). Table 1 briefly summarizes case studies and key insights. Partners were recruited via an open call and through professional networks. Partners included representatives from civil society organisations, policy researchers, academics, and the private sector. With one exception, Partners had no or minimal prior exposure to systems thinking.

Co-production of PESB case studies was designed to fully engage Partners in holistic problem definition and representation so that Partners retained control over the transfer of knowledge, often implicit or tacit, into the case study format [36]. The process began with selection of an appropriate framework for understanding the issue in question. Partners were provided with a short primer on CLDs, a sample case study, and a short set of guidelines. They then developed a 200-word abstract describing the problem and highlighting attempted or proposed solutions. The Systems Thinker followed up with Partners individually, via e-mail or a face-to-face meeting, with an iterative series of questions, based on principles in systems approaches, to map out the larger context in which the case study was embedded. Attention was given to institutional and societal structures and paradigms, as well as the motivations and constraints of other actors involved in the problem and/or solution.

Based on responses to initial questions, the Systems Thinker developed three to four candidate CLDs that attempted to create a conceptual model of causal linkages surrounding the problem and solution in a manner consistent with the Partner’s narrative. Partners were asked to identify what was correctly captured and what was left out, concluding with the selection of a preliminary CLD and corresponding problem frame that accurately represented the Partner’s understandings. The selected CLD went through several further iterations, informed by ongoing engagement. The CLDs were broken down into 3–4 stages of complexity. The simplest stage involved one or two key feedback loops, with further contextual detail added in subsequent stages. Potential systems-based interventions were usually added in the last stage. When the CLDs were finalised, Partners wrote the case study text, using the CLD stages as an outline. The Systems Thinker played an editorial role to ensure the text was consistent with and adequately explained the narrative portrayed in the CLDs. Contact time between the Systems Thinker and the Partners varied widely, averaging ten hours per case study on face-to-face time and written correspondence. The Systems Thinker spent around ten additional hours in developing CLDs and in the editorial role. Partners also spent between five to twenty hours in research and writing; the Partners who spent more time intended to use the content and analysis of the case studies in other aspects of their work.

Results

Development of the PESB case studies facilitated a transfer of local knowledge from Partners to the Systems Thinker, and development of systems thinking capacity in the former. In five of the seven case studies, Partners engaged deeply with CLD development, giving substantive comments about CLD structure and variable naming. These partners reported new insights that changed the way they understood the highlighted issue. One factor that encouraged engagement was relevance to future work undertaken by the Partners, such as in Case Study #2, which the Partners undertook as background analysis for a study on relationships between fast food outlets and neighbourhood obesity. In the remaining two case studies Partners were more invested with developing a case study product than with the reflective process and were largely uncritical about the CLD representation. The sole case study developed with a for-profit private-sector partner, Case Study #7, was viewed by the Partner primarily as a communication tool for promoting bike-sharing and not as a learning activity.

The PESB case study methodology adopted here provided Partners with tools for describing a place in terms of feedback relationships and for understanding the origins of various consequences—desirable and undesirable. Initial case study abstracts by Partners were usually framed narrowly, with solutions presented as direct, linear responses to the problem. Through the process here described, Partners reframed their conceptualization of local challenges away from immediate problems, goals, and roles, instead mapping out the incentives, constraints, and goals of other actors within the system. In each case, the final problem frame was at a higher systems level—engaging with broader institutional and societal rules, values, and paradigms—than the original problem described in the abstract. For example, Case Study #3 on rejuvenating urban spaces began with sole focus on two rejuvenating efforts; the final writeup placed these efforts within the larger challenge of maintaining and expanding urban green spaces through partnerships between local authorities and private actors. The CLDs developed in the case studies provided conceptual models useful for hypothesizing about leverage points, causal pathways and theories of change, and for prioritising among evidence to be collected or generated. This resulted in proposed solutions at higher problem levels, understood in connection with larger causal pathways for change.

Improved understanding among Partners of the complex nature of their case studies has had real-world relevance as they continue to work and advocate on these issues. For example, in Case Study #1, a Partner who had conducted an observational, anthropological study of the nutritional value of meals in school canteens developed an analytical framework for integrating the motivations and actions of various actors [37]. The analysis revealed how important but diverse priorities—school funding, enterprise as welfare-promotion, and student health—underlying the different policies affecting school canteen operators undermined nutritional standards in student meals. The interactions of these policies were clear through the combined experiences of the different actors at the local level, but not through the viewpoints of any single actor or policy. The integrated approach in the case study enabled identification of key feedback loops that could be strengthened to increase the capacity and motivation of school canteen operators to provide healthy food options.

The PESB case studies had benefits beyond improved problem understanding. Several Partners requested further capacity building and engagement, having found the exercise valuable to their work. For example, one Partner initiated and funded a transdisciplinary workshop on campus sustainability, to extend insights from their case studies to other university actors. Additionally, the case studies provided compelling narratives which proved useful for Partners’ organisations, both internally to improve understanding, and externally to communicate effectively. This was evidenced among the Partners for Case Study #6, who initiated a subsequent systems analysis on another water supply and sustainability issue.

Example: illustration of localisation, capacity-building, and values-as-indicators

A pair of case studies (#4 and #5) are examined in-depth here to illustrate the ways in which the case study process improved Partner understanding that led to new actions. These case studies focused on campus sustainability in the setting of a major Malaysian public university, unpacking how place-specific institutional structures and paradigms support or threaten educational and outreach efforts and sustainable land use choices [38, 39]. Partners originated from a botanic garden facility with a broad mission of conservation and education and from a closely associated grassroots initiative (alumni and student) for ecological engagement and volunteerism adopted by the university. The first case study examined drift in university support for the broad botanic garden mission, while the latter examined a project conducted by the grassroots initiative that contributed to the preservation of a rewilded land bank in the face of developmental pressures.

A wide body of literature establishes the positive contributions that green space and biodiversity make to health, especially mental health [40,41,42]. However, drivers that promote appreciation, preservation, and cultivation of green space are strongly place-based and heavily subject to local context, including socioeconomic conditions, developmental legacy and climate [43, 44]. Malaysia is a developing economy, in which income generation is a high priority. Land is a priceless resource in the city and the neoliberal developmental paradigm adopted worldwide over recent decades has resulted in the side-lining of green space conservation [45]. The intrinsic assumption in this paradigm is that undeveloped land constitutes an underutilised resource. Yet the modern-day reframing of development in terms of sustainability recognizes the value of green space. This is contained not only in SDG 15.9, calling for the integration of ecosystem and biodiversity values into national and local planning, but also in in SDG 11.7 which affirms the need to provide universal access to safe, inclusive and accessible, green and public spaces. University campuses and botanic gardens can contribute substantial institutional green space to a city [46], but most relevant examples come from well-resourced institutions in highly developed contexts.

These case studies explored the value to the university of maintaining or converting green spaces and the institutional values required to sustain urban green space efforts more broadly. The Partners’ initial framing of the problem was in terms of individual decision-makers and their values, and of institutional resource constraints. While the Partners have a degree of agency in addressing the issues at hand, the primary locus of decision-making authority lies elsewhere, contributing to a sense of disempowerment and uncertainty over the long-term viability of their efforts. Their engagement with the case studies was, in part, an attempt to advocate for their positions on these issues.

A systems-level analysis shifted focus from personalities as guardians of values toward the influence of institutional structures and incentives in shaping institutional values. Partners attributed this to rigorous and repeated probing via the systems thinking process, which interrogated many underlying assumptions. For example, funding cuts to the botanic garden were originally ascribed to budgetary constraints stemming from reduction of public funding for the university. Further reflection revealed shifts in the university institutional priorities as the fundamental driver, as university budgetary constraints had merely accelerated funding cuts to the botanic garden, a trend that had begun long before. This revised conceptual model of events created a better appreciation of the various constraints decision-makers face and pointed toward institutional paradigms of undeveloped land as a core issue undermining support for biodiversity and greenspace initiatives (Fig. 1).

Fig. 1
figure 1

Partners discovered competing institutional narratives surrounding undeveloped university land, each driven by reinforcing feedback loops. The perception that undeveloped land is underutilised drives new development, which in turn generates income, reinforcing the perception that undeveloped land should be developed (R1). Conversely, when undeveloped land is perceived as valuable, low rates of development will preserve environmental and health benefits, and the experience of these benefits undermines the belief that undeveloped land is underutilised (R2). Figure is reproduced from Ong and Adikan (2018) [38].

Whereas a general analysis of the issue of green space on campuses might focus on profit-vs-loss calculations, situating the issue within a unique place allowed for deeper consideration of the local socio-geographic context. The university’s rewilded land bank is a significant green space in a locality where nature is otherwise scarce. The engagement of student volunteers in this project provided low-cost capacity building through fieldwork training at a time when classroom-based practical sessions were threatened by severe funding cuts across the university. Choosing to maintain green space fostered good will with neighbourhood residents who would have been affected by the proposed development. These insights suggested that Partners need not only advocate ecological and sustainability causes, but also seek out the systemic feedbacks that shape institutional perspectives and values related to land use (Fig. 2).

Fig. 2
figure 2

Partners identified several systemic relationships that strengthen or weaken the competing narratives. Availability of university resources, driven largely by external public funding, determines the level of pressure for income generation, which in turn can lead to land development to alleviate financial pressure (B1 loop). University efforts to document environmental and health benefits of undeveloped land have shaped perceptions of the land and encourage further investment in such studies (R3 loop); however, such efforts are also threatened by university funding limitations, which are further constrained by decisions to forego income generation to preserve undeveloped land (B2 loop). Partners identified reputational benefits to the university as useful leverage point if certain pathways (dotted arrows) could be developed and strengthened. Translation of documented environmental and health benefits of undeveloped university land into reputational benefits could reinforce university decisions to invest in environmental studies (R4). Reputational benefits could also be leveraged for income generation through edu-tourism and other means (R5). Figure is adapted from Ong and Adikan 2018 [38]

The case study process provided Partners a space to reflect on the importance of underlying variables, causes, consequences, and feedbacks. In developing their conceptual models and narratives with the Systems Thinker, the Partners revisited everyday experiences. This reflection catalysed discovery of the interconnectedness of the issues and more importantly, their linkages to wider narratives of sustainability. Partners re-evaluated the value of various key performance indicators in directing focus to the actions necessary to advance the overarching mission. One such example was the identification of land use paradigms as a central issue. This led the grassroots initiative to invest effort in engaging the university in dialogue on how land is valued. A prior focus on green space and biodiversity indicators, which remain important outcomes, overlooked the importance of engaging institutional values driving university decision-making processes. The Partners also undertook a systems analysis (not described here) to evaluate how best to position themselves in ways that would allow them to do this over the long term. This illustrates the role that values-as-indicators in SDG localisation can play in drawing actors’ attention to critical processes that must be engaged to achieve desired outcomes [4, 5].

Discussion

Utility for SDG localisation

Systems thinking has often been used as a tool for scaling-up local interventions for improved health outcomes [47, 48]. Here, a different approach has been taken, using systems approaches for down-scaling and localisation, recognising that complexity and interconnections exist at all problem scales. Indeed, the PESB case study methodology was conceptualised to enhance decision-making, especially in the face of cross-sectoral issues that impact health and wellbeing, by improving capacity for systemic understanding and transdisciplinary communication. As a bottom-up process, it features minimal resource requirements. These design parameters make this approach uniquely suited for SDG localisation, in which complex and interconnected challenges particular to a specific place need to be addressed with locally available resources (Table 2).

Table 2 Example of SDG Localisation Problem that Can be Addressed with Case Study Methodology

In local SDG implementation, local indicators are important not only for measuring impacts, but for highlighting important processes that generate the desired outcomes. Indeed, systems thinking recognises that indicators are not just a measurement, but that the choice of indicators also changes system behaviour as indicators become targets and actors take actions accordingly [49]. This can be beneficial if indicators are well-aligned with actual goals but can be detrimental if there are pathways to achieve indicators that are not relevant—or even detrimental—to desired outcomes. The case study methodology enables actors to develop conceptual models of systems processes, enabling them to choose supportive indicators in a holistic manner that acknowledges critical relationships and system leverage points [25]. Key processes often include the inculcation and nurturing of values that support the SDG goals—enabling factors that are often neglected in indicator selection because of the difficulties in quantifying and standardising such subjective and place-specific variables [4, 5]. Systems approaches can enable and inform the process of re-examining accepted narratives, mitigating against path dependency so that indicators are not adopted merely because of prior usage [50].

The same improved conceptual models that enables better selection of local indicators also increases capacity to act. Systemic understanding is useful not only for identifying pathways and leverage points for achieving specific SDG targets, but also for identifying the potential unintended consequences of simultaneous SDG actions across different sectors and scales, as where efforts to achieve one SDG target reinforce or constrain efforts to achieve another [51]. Benefits are most apparent where multiple actors in sustainable development can be brought together in the development of a case study, with a simple systems model such as a CLD serving as an organizing principle for communication and relationship-building needed to achieve sustainable development.

Case studies are effective tools for advocating positions to policy-makers [52]. However, the complex messages and relationships frequently inherent in local operationalisation of the SDGs are often difficult to communicate in an accessible narrative. The CLDs used in the PESB case studies address this challenge, acting as metaphors that communicate complex ideas and relationships that are not easily communicated through words alone [21, 53]. The input of the System Thinker was important to effectively use CLDs in this manner. In general, Partners tended to push for greater detail and complexity in CLDs, to represent all the particularities of their case study. While additional complexity was useful in exploration and achieving a comprehensive understanding of the issue, the Systems Thinker generally advocated for simplification to make key relationships visually observable and comprehensible.

Strengths and limitations

The PESB case study methodology is one of several ways (e.g., workshops, co-production of dynamic simulations, etc.) in which systems thinking and place-based research can be brought together in systems approaches and comes with particular strengths and weaknesses. The development of the case studies involved extended engagement, which allowed the Partners to use, practice, and develop the skills of creating and interpreting causal loop diagrams to a higher level than can be done in a short course or workshop. It is a flexible methodology with low costs, enabling its utilisation in a wide variety of challenges. As it relies heavily on Partners implicit knowledge, it does not require the extensive data that certain systems methodologies rely on—which is typically unavailable at local scales.

There are a number of limitations in the PESB case study methodology. It is an involved and potentially time-intensive process, and several prospective Partners declined to participate for this reason. Interpersonal connections are important in cross-disciplinary work [54], especially in small co-located projects [55], and were important in sustaining a multi-month collaborative process. The opportunity to showcase work or highlight issues at WUF9 was a key incentive for Partners. Finding or creating such opportunities may be important for obtaining Partner interest when there is not prior interpersonal connection or interest in systems methodologies. A second major limitation was the lack of representation from different stakeholder groups in most of the case studies, limiting the scope of perspectives that could have been otherwise achieved. It can be difficult to obtain the buy-in needed from different groups, a factor that implies significant interpersonal management challenges for the Systems Thinker. The problem of limited perspective was partially addressed by asking the Partners to reflect deeply on the motivations and paradigms of the other actors involved in their challenges.

The PESB case study methodology can complement other systems tools. It can serve as a catalyst for transdisciplinary systems thinking workshops by creating outputs that draw interest and can also be a way of sustaining learning and engagement with systems methodologies following an introductory workshop. The CLDs developed through the case studies are also a good starting point for low-order systems dynamics modelling that can further aid local decision-making [56]. The PESB case study methodology is not dependent upon other systems methodologies to achieve impact, however: improved understanding of causal linkages can in itself improve local decision-making for the SDGs, generating benefits for population health and wellbeing. The extent of impact in this methodology depends on the same conditions that other transdisciplinary engagement tools depend upon: long-term follow-up and commitment of resources to act upon insights generated via transdisciplinary understanding.

Conclusion

A Systems Thinker engaged several local Partners to co-produce placially explicit, systems-based case studies, using systems approaches to develop conceptual models and narratives that describe and analyse local urban challenges that impact health. In addition to producing documents that visually communicated complex challenges, this provided a method, suitable for resource-poor contexts, for drawing out Partners’ implicit and tacit knowledge and placing it in a systems framework. This process improved Partners’ understanding of the challenges they faced, improving analysis and action.

Local decision-making is critical to operationalising the SDGs. This affects urban planning, delivery of health services, education, environmental management, and many other factors that shape population level health. While the complexities of interlinkages coupled with lack of resources makes localisation of the SDGs a daunting task, local actors have vast implicit and tacit knowledge that they can draw upon. The PESB case study methodology is a powerful way of enabling these actors to articulate this knowledge through conceptual models for synthesis, evaluation, and action. Such placially explicit models can be powerful tools to inform local decision-making and communication, increasing the likelihood of achieving desired outcomes in local actions toward the SDGs.

Availability of data and materials

Data sharing is not applicable to this article as no datasets were generated or analysed during the current study. The co-produced case studies can be accessed at http://www.thriveurban.info/wp-content/uploads/2018/02/SCHEMA-Case-Studies.pdf

References

  1. WHO. Health as the pulse of the new urban agenda: United Nations conference on housing and sustainable urban development, Quito, October 2016. Geneva, Switzerland: World Health Organization; 2016. https://apps.who.int/iris/bitstream/handle/10665/250367/9789241511445-eng.pdf?sequence=1.

  2. Klopp JM, Petretta DL. The urban sustainable development goal: indicators, complexity and the politics of measuring cities. Cities. 2017 Mar 1;63:92–7.

    Article  Google Scholar 

  3. Patel Z, Greyling S, Simon D, Arfvidsson H, Moodley N, Primo N, et al. Local responses to global sustainability agendas: learning from experimenting with the urban sustainable development goal in Cape Town. Sustain Sci. 2017 Sep 1;12(5):785–97.

    Article  Google Scholar 

  4. Burford G, Hoover E, Velasco I, Janoušková S, Jimenez A, Piggot G, et al. Bringing the “missing pillar” into sustainable development goals: towards Intersubjective values-based indicators. Sustainability. 2013 Jul 12;5(7):3035–59.

    Article  Google Scholar 

  5. Burford G, Tamás P, Harder M, Burford G, Tamás P, Harder MK. Can we improve Indicator Design for Complex Sustainable Development Goals? A comparison of a values-based and conventional approach. Sustainability. 2016 Aug 30;8(9):861.

    Article  Google Scholar 

  6. Corburn J. Confronting the challenges in reconnecting urban planning and public health. Am J Public Health. 2004 Apr;94(4):541–6.

    Article  Google Scholar 

  7. Smit W, Hancock T, Kumaresen J, Santos-Burgoa C, Meneses RS-K, Friel S. Toward a research and action agenda on urban planning/design and health equity in cities in low and middle-income countries. J Urban Health. 2011 Oct 1;88(5):875.

    Article  Google Scholar 

  8. Koohsari MJ, Badland H, Giles-Corti B. (re)designing the built environment to support physical activity: bringing public health back into urban design and planning. Cities. 2013 Dec 1;35:294–8.

    Article  Google Scholar 

  9. Allington G, Fernandez-Gimenez M, Chen J, Brown D. Combining participatory scenario planning and systems modeling to identify drivers of future sustainability on the Mongolian Plateau. Ecol Soc [Internet]. 2018 Apr 17 [cited 2018 Jul 20];23(2). Available from: https://www.ecologyandsociety.org/vol23/iss2/art9/

  10. Ens EJ, Pert P, Clarke PA, Budden M, Clubb L, Doran B, et al. Indigenous biocultural knowledge in ecosystem science and management: review and insight from Australia. Biol Conserv. 2015 Jan 1;181:133–49.

    Article  Google Scholar 

  11. Keynan A, Ben-Zvi Assaraf O, Goldman D. The repertory grid as a tool for evaluating the development of students’ ecological system thinking abilities. Stud Educ Eval. 2014 Jun 1;41:90–105.

    Article  Google Scholar 

  12. Bai X, Surveyer A, Elmqvist T, Gatzweiler FW, Güneralp B, Parnell S, et al. Defining and advancing a systems approach for sustainable cities. Curr Opin Environ Sustain. 2016 Dec 1;23:69–78.

    Article  Google Scholar 

  13. de Oliveira JAP, Doll CNH, Siri J, Dreyfus M, Farzaneh H, Capon A. Urban governance and the systems approaches to health-environment co-benefits in cities. Cad Saude Publica. 2015 Nov;31(Suppl 1):25–38.

    Article  Google Scholar 

  14. Rietveld LC, Siri JG, Chakravarty I, Arsénio AM, Biswas R, Chatterjee A. Improving health in cities through systems approaches for urban water management. Environ Health. 2016;15(1):151–60.

    Google Scholar 

  15. Siri JG, Newell B, Proust K, Capon A. Urbanization, Extreme Events, and Health: The Case for Systems Approaches in Mitigation, Management, and Response. Asia Pac J Public Health [Internet]. 2015 Jul 28 [cited 2015 Jul 31]; Available from: http://aph.sagepub.com/cgi/doi/10.1177/1010539515595694

  16. Arnold RD, Wade JP. A definition of systems thinking: a systems approach. Procedia Comput Sci. 2015 Jan 1;44:669–78.

    Article  Google Scholar 

  17. Sterman JD. Learning from evidence in a complex world. Am J Public Health. 2006 Mar;96(3):505–14.

    Article  Google Scholar 

  18. Clifford N, Richards K. Earth system science: an oxymoron? Earth Surf Process Landf. 2005;30(3):379–83.

    Article  Google Scholar 

  19. Wilbanks TJ. Putting “place” in a multiscale context: perspectives from the sustainability sciences. Environ Sci Pol. 2015 Nov 1;53:70–9.

    Article  Google Scholar 

  20. Cartwright N. Knowing what we are talking about: why evidence doesn’t always travel [Internet]. 2013 [cited 2019 Aug 2]. Available from: https://www.ingentaconnect.com/content/tpp/ep/2013/00000009/00000001/art00008

  21. Newell B. Simple models, powerful ideas: towards effective integrative practice. Glob Environ Change. 2012 Aug 1;22(3):776–83.

    Article  Google Scholar 

  22. Tress B, Tress G, Fry G. Defining concepts and the process of knowledge production in integrative research. In: From Landscape Research to Landscape Planning: Aspects of Integration, Education and Application. Dordrecht, the Netherlands: Springer; 2005.

    Google Scholar 

  23. Moskwa E, Bardsley DK, Robinson GM, Weber D. Generating narratives on bushfire risk and biodiversity values to inform environmental policy. Environ Sci Pol. 2018 Nov 1;89:30–40.

    Article  Google Scholar 

  24. Proust K, Newell B, Brown H, Capon A, Browne C, Burton A, et al. Human health and climate change: leverage points for adaptation in urban environments. Int J Environ Res Public Health. 2012 Jun;9(6):2134–58.

    Article  Google Scholar 

  25. Zhang Q, Prouty C, Zimmerman JB, Mihelcic JR. More than target 6.3: a systems approach to rethinking sustainable development goals in a resource-scarce world. Engineering. 2016 Dec 1;2(4):481–9.

    Article  Google Scholar 

  26. Global Taskforce of Local and Regional Governments. towards_the_localization_of_the_sdgs.pdf [Internet]. Barcelona: United Citeis and Local Governments; 2018 [cited 2018 Oct 25] p. 110. Available from: https://www.uclg.org/sites/default/files/towards_the_localization_of_the_sdgs.pdf

  27. Global Taskforce of Local and Regional Governments, UN Habitat, UNDP. Roadmap For Localizing the SDGs: Implementation and Monitoring at Subnational Level [Internet]. 2016 [cited 2018 Oct 25] p. 44. Available from: https://www.uclg.org/sites/default/files/roadmap_for_localizing_the_sdgs_0.pdf

  28. Guimarães MH, Ballé-Béganton J, Bailly D, Newton A, Boski T, Dentinho T. Transdisciplinary conceptual modeling of a social-ecological system—a case study application in Terceira Island. Azores Ecosyst Serv. 2013 Mar;3:e22–31.

    Article  Google Scholar 

  29. Schweizer S, Stavrou V, van Breda J, Alder C. Transdisciplinary-Training-Program-Report_3June20161.pdf [Internet]. 2016 [cited 2018 Oct 25]. Available from: https://start.org/wp-content/uploads/Transdisciplinary-Training-Program-Report_3June20161.pdf

  30. Capon AG. Health impacts of urban development: key considerations. 6New South Wales Public Health Bull. 2007;18(10):155.

    Article  Google Scholar 

  31. Barton H. Land use planning and health and well-being. Land Use Policy. 2009 Dec 1;26:S115–23.

    Article  Google Scholar 

  32. Carroll-Scott A, Gilstad-Hayden K, Rosenthal L, Peters SM, McCaslin C, Joyce R, et al. Disentangling neighborhood contextual associations with child body mass index, diet, and physical activity: the role of built, socioeconomic, and social environments. Soc Sci Med. 2013 Oct 1;95:106–14.

    Article  Google Scholar 

  33. McCormack GR, Shiell A. In search of causality: a systematic review of the relationship between the built environment and physical activity among adults. Int J Behav Nutr Phys Act. 2011 Nov 13;8(1):125.

    Article  Google Scholar 

  34. Krefis AC, Augustin M, Schlünzen KH, Oßenbrügge J, Augustin J. How does the urban environment affect health and well-being? A Systematic Review Urban Sci. 2018 Mar;2(1):21.

    Article  Google Scholar 

  35. Verbeek T. Reconnecting urban planning and public health: an exploration of a more adaptive approach. In: Annual Congress: from control to co-evolution, Proceedings [Internet]. 2014 [cited 2019 Aug 2]. Available from: http://hdl.handle.net/1854/LU-5786982

  36. Delvaux B, Schoenaers F. Knowledge, local actors and public action. Polic Soc. 2012 Jun 1;31(2):105–17.

    Article  Google Scholar 

  37. Li FF, Tan D. School canteens and student nutrition SCHEMA case study #1 [internet]. United Nations University International Institute for Global Health; 2018. Available from: http://www.thriveurban.info/wp-content/uploads/2018/02/SCHEMA-Case-Studies.pdf

  38. Ong B, Adikan FRM. Challenging land use paradigms in a university context. SCHEMA Case Studies. [Internet] Kuala Lumpur: United Nations University International Institue for Global Health; 2018. Available from: http://thriveurban.info/wpcontent/uploads/2018/02/SCHEMA-Case-Studies.pdf. [cited 2019 Aug 13].

  39. Sugumaran M, Tan D, Ong B. SCHEMA case study #4: Holding onto a Mission for conservation and education. SCHEMA Case Studies. [Internet] Kuala Lumpur: United Nations University International Institue for Global Health; 2018. Available from: http://thriveurban.info/wpcontent/uploads/2018/02/SCHEMA-Case-Studies.pdf. [cited 2019 Aug 13].

  40. Clayton S, Brook A. Can psychology help save the world? A model for conservation psychology. Anal Soc Issues Public Policy ASAP. 2005;5(1):87–102.

    Article  Google Scholar 

  41. Fuller RA, Irvine KN, Devine-Wright P, Warren PH, Gaston KJ. Psychological benefits of greenspace increase with biodiversity. Biol Lett. 2007 Aug 22;3(4):390–4.

    Article  Google Scholar 

  42. Wood E, Harsant A, Dallimer M, Cronin de Chavez A, McEachan RRC, Hassall C. Not All Green Space Is Created Equal: Biodiversity Predicts Psychological Restorative Benefits From Urban Green Space. Front Psychol [Internet]. 2018 Nov 27 [cited 2019 Aug 13];9. Available from: https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6277587/

  43. Lachmund J. Greening Berlin: the co-production of science, politics, and urban nature [Internet]. Cambridge, Mass.: MIT Press; 2013 [cited 2019 Mar 5]. Available from: http://public.eblib.com/choice/publicfullrecord.aspx?p=3339559

    Book  Google Scholar 

  44. Wulf A. The invention of nature: the adventures of Alexander von Humboldt, the lost hero of science. London: John Murray; 2015.

  45. Apostolopoulou E, Adams WM. Cutting nature to fit: urbanization, neoliberalism and biodiversity offsetting in England. Geoforum. 2019 Jan 1;98:214–25.

    Article  Google Scholar 

  46. Smith P, Harvey-Brown Y. The economic, social and environmental impacts of botanic gardens [Internet]. Richmond: Botanic Gardens Conservation International; 2018 Aug p. 24. (BGCI Technical Review). Available from: https://www.bgci.org/files/IAC/IAC%202018/TechReportLowRes.pdf

  47. Mac Gregor H, Mc Kenzie A, Jacobs T, Ullauri A. Scaling up ART adherence clubs in the public sector health system in the Western Cape, South Africa: a study of the institutionalisation of a pilot innovation. Glob Health [Internet]. 2018 Apr 25 [cited 2019 Mar 7];14. Available from: https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5918532/

  48. Windisch R, Waiswa P, Neuhann F, Scheibe F, de Savigny D. Scaling up antiretroviral therapy in Uganda: using supply chain management to appraise health systems strengthening. Glob Health. 2011 Aug 1;7(1):25.

    Article  Google Scholar 

  49. Mair S, Jones A, Ward J, Christie I, Druckman A, Lyon F. A critical review of the role of indicators in implementing the sustainable development goals. In: Leal Filho W, editor. Handbook of sustainability science and research [internet]. Cham: springer international publishing; 2018 [cited 2019 mar 1]. p. 41–56. (world sustainability series). Available from: https://doi.org/10.1007/978-3-319-63007-6_3.

    Google Scholar 

  50. Zinkernagel R, Evans J, Neij L, Zinkernagel R, Evans J, Neij L. Applying the SDGs to cities: business as usual or a new Dawn? Sustainability. 2018 Sep 7;10(9):3201.

    Article  Google Scholar 

  51. ICSU. A Guide to SDG Interactions: From Science to Implementation [Internet]. Paris, France: International Council for Science; 2017 [cited 2018 Jul 24]. Available from: https://council.science/cms/2017/05/SDGs-Guide-to-Interactions.pdf

  52. Sallis JF, Bull F, Burdett R, Frank LD, Griffiths P, Giles-Corti B, et al. Use of science to guide city planning policy and practice: how to achieve healthy and sustainable future cities. Lancet. 2016 Dec 10;388(10062):2936–47.

    Article  Google Scholar 

  53. Newell B, Proust K. Escaping the complexity dilemma. In: Sustainability Science [Internet]. London: Routledge; 2017 [cited 2018 Oct 24]. p. 396. Available from: https://www.taylorfrancis.com/

  54. Harris F, Lyon F. Transdisciplinary environmental research: building trust across professional cultures. Environ Sci Pol. 2013 Aug;31:109–19.

    Article  Google Scholar 

  55. Gray B. Enhancing Transdisciplinary research through collaborative leadership. Am J Prev Med. 2008 Aug;35(2 Suppl):S124–32.

    Article  Google Scholar 

  56. Newell B, Siri J. A role for low-order system dynamics models in urban health policy making. Environ Int. 2016 Oct 1;95:93–7.

    Article  Google Scholar 

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Acknowledgements

We acknowledge all the Partners who contributed to the co-production of the PESB case studies: Li Fang Fang, Lim Chee Han, Esther Sinirisan Chong, Daniel Lee, Murali Ram, M. Sugumaran, Faisal Rafiq Mahamd Adikan, Lai Chee Hui, Chan Ngai Weng, Afiq Azfar, and Ian Goh. We also thank Barry Newell and Katrina Proust for their support of the development of the PESB case studies.

Funding

The conduct of this study was funded by a Newton-Ungku Omar Institutional Links grant (REF: 216400607).

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Contributions

DTT led the study design, carried it out, and led the preparation of this manuscript. JGS contributed to the study design and supported the development of the PESB case studies. BO was a Partner in two of the case studies and led the section, “Example: Illustration of Localisation, Capacity-Building, and Values-as-Indicators.” DTT, JGS, YG, BMG, and TM developed the conceptual discussion of systems approaches, systems thinking, and place-based approaches in this paper. SCL led the section, “Example of SDG Localisation Problem that Can be Addressed with Case Study Methodology.” All authors read and approved the final manuscript.

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Correspondence to David T. Tan or Yi Gong.

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Tan, D.T., Siri, J.G., Gong, Y. et al. Systems approaches for localising the SDGs: co-production of place-based case studies. Global Health 15, 85 (2019). https://doi.org/10.1186/s12992-019-0527-1

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