Knowledge-based, smart and sustainable cities: a provocation for a conceptual framework

The UN’s 2030 Agenda for Sustainable Development presents a new scenario, where sustainability is at the mainstream of the global development strategy. The identification of objectives and metrics applied in the urban context are on the spotlight, mostly driven to measure the decarbonisation of productive activities and the management of commons, such as waste management, energy, water, transportation and urban mobility, urban infrastructure, to name a few of them. As stated by Phillis et al. (2017, p.254), unprecedented impacts in the biosphere are expected as the result of operating out of regular boundaries: “climate change, loss of biodiversity and the nitrogen cycle. In a sense, humanity has embarked on an experiment of global scale in these three areas with unknown consequences that threaten the very foundations of sustainability”.

A sustainable city is a vision of the future, shared by its citizens. In order to provide better quality of life in the present while maintaining or expanding the possibilities of well-being and prosperity for future generations. Mori and Yamashita (2015) view a sustainable city as the one that can generate the maximum socioeconomic benefits for its population without losing the environmental and equity parameters, measured by appropriate indicators. Concepts linked to environmental protection to characterise cities have given rise to initiatives and experiments such as green city, eco-city, low-carbon city, smart city, evolving towards more integrated approaches to sustainability (Yigitcanlar and Kamruzzaman 2015; Trindade et al. 2017). Among such variety of concepts, sustainable city has both a greater occurrence and centrality with other category of cities in the scientific literature (De Jong et al. 2015). During the last decade, a new form of city has been rapidly gaining high popularity—that is smart cities (Lara et al. 2016; Yigitcanlar 2015, 2016). A smart city, for instance, will seek the goal of achieving its sustainability with the support of modern technologies; in fact, information and communication technologies (ICTs) can bring numerous benefits to cities, but its implementation as an end in itself is not enough to make it a sustainable city (Ahvenniemi et al. 2017). For this reason, this paper refers to the ideal form of the 21st Century cities as ‘smart and sustainable cities’ (Yigitcanlar and Lee 2014; Yigitcanlar and Kamruzzaman, 2018).

The lack of conceptual consensus and the intrinsic difficulty of defining something holistic and fluid as a smart and sustainable city appears in the scientific literature, unable yet to establish a comprehensive approach that deals in the urban scale with the many dimensions of sustainability (Maiello et al. 2011). How, then, can we to tackle the problem? In addition to the need of overcoming unidimensional measures for a holistic approach that organises the city’s urban development (Egger 2006; Ding et al. 2015), a city must have its environmental restrictions applied in an intergenerational context in order to be sustainable (Mori and Yamashita 2015). These characteristics make the assessment of smart and sustainable cities a permanent and never static challenge (Yigitcanlar 2009).

Knowledge-based development (KBD) is a vision of development that considers knowledge as the central structuring element of a development strategy for cities and regions (Yigitcanlar 2010; Lönnqvist et al. 2014). For instance, the capital systems approach is a KBD methodology for measuring value that takes into consideration many dimensions and aspects of life that goes far beyond traditional assessment views (Carrillo et al. 2014). Carrillo (2014, p.416) defines KBD as “the collective identification and enhancement of the value set whose dynamic balance furthers the viability and transcendence of a given community”. Knight (1995) envisioned KBD of cities as basis for sustainable development, emphasising the relevance of the process of transforming knowledge resources into local development. Following this view, cities should build their own unique knowledge stock by identifying their own particular strengths. After two decades, Knight’s statement on knowledge-based urban development (KBUD) seems very adequate to describe actual challenges: “The increasing importance and complexity of the city and the requirement that development is sustainable calls for a new integrative framework for thinking about the development of cities. Urban planners are facing new issues and need new approaches in order to facilitate new forms of development” (Knight 1995, p. 247).

Ergazakis and Metaxiotis (2011) stress the challenging nature to deliver a KBUD approach and point the standardisation of assessment methods and metrics as the key to foster KBUD implementation. Carrillo (2014, p. 406) notes that KBUD as a disruptive perspective transcends sustainability goals, still the “convergence between KBUD and sustainability is a positive and coherent one”. Sarimin and Yigitcanlar (2012) sees KBUD as a critical approach for achieving sustainability—quadruple bottom line (economy, society, environment, governance)—in our cities. In other words, KBUD is an integrated approach for the transition of cities and their regions into places of attraction, retention and development of intellectual and human capital that will ultimately create a knowledge dynamics applied to the urban context and foster innovation to promote an integral and sustainable development of the territory—not only for the economic terms, but also environmental and societal terms (Pancholi et al. 2015; Yigitcanlar et al. 2012, 2017). Baum et al. (2009) see KBUD as a critical driver for providing regional outcomes though creative industries.

Against this brief background the following questions come to mind. What are the strengths and limitations of the existing approaches on the assessment of sustainable cities present in the scientific literature? How do they propose to handle the challenging task of monitoring and evaluation of a city in order to promote sustainability? What can a better framework be developed to address the sustainability issues of our cities?

This paper highlights an understanding on these issues, and discusses a theoretical KBUD strategy for the promotion of smart and sustainable cities, presenting a conceptual framework with three main components—i.e., implementation drivers, knowledge management integrated approach, and monitoring and evaluation—pointing towards a promising field of future urban research and practice.

The method used for the literature review includes systematic search flow (SSF) approach developed by Ferenhof and Fernandes (2016). The systematic review is “a method of scientific investigation with a rigorous and explicit process to identify, select, collect data, analyse, and describe the relevant contributions to research” (Ferenhof and Fernandes 2016, p. 551). This method consists of three distinct phases: the definition of the research protocol, the analysis of the data and, finally, the synthesis. Selection of this method was due to its effective way to demonstrate the procedures applied at each stage of the systematic review production, in order to process, analyse, and produce the synthesis with consistency in the production of scientific knowledge.

The search strategy used involved the use of the terms “sustainable cities” OR “smart cities” AND “framework” OR “model” OR “assessment” AND “evaluation” OR “indicator”. This strategy sought not to restrict results only to evaluation models, but given the diversity of existing approaches to the theme, it could also select from articles that associate sustainable indicators and cities.

In relation to the database query, the Scopus and Web of Science databases were selected, both searched on December 2017. The Scopus database found 80 results, of which 49 are published articles. The Web of Science database found 68 results; after the filtering of only published articles, there were 39 results. Starting from the 86 articles combined from the both Web of Science and Scopus databases, and removing 30 duplicate results, 56 results remained. The organisation of the bibliographies was carried out using the Mendeley software, and the results were aggregated by each consulted database.

For the step of standardising the selection of articles, sequential filters were applied for reading summaries and reading articles. Articles that present an integrated vision, whether multidisciplinary or multidimensional in their proposed model or analysis, or in the metrics used, indicators or indexes, and which are directly associated to the theme sustainable cities, were selected. Articles dealing with sustainability only in a specific dimension or in a single disciplinary way were discarded. The final composition of the article portfolio resulted in 20 papers representative of the researched theme.

Following this stage of literature review, a conceptual framework development was done by determining the key trends in urban research that aims to deliver sustainable outcomes for our cities. The paper brought together several concepts, such as KBD, KBUD, and urban living labs, to constitute a new conceptual understanding, and operational capabilities to better address the sustainability issue of our cities.

There is a reasonable variety of approaches on assessment models, frameworks, indexes and rankings, and monitoring and evaluation tools that deal with smart and sustainable cities or the urban smartness and sustainability assessment of cities in the scholarly literature. The need for multidimensional assessments is necessary when working with different typologies of cities, such as smart, sustainable or competitive (Monfaredzadeh and Berardi 2015). The comparison of assessment models of sustainable cities and smart cities in Ahvenniemi et al. (2017) reveal that urban sustainability assessment systems are more complete for the natural environment, built environment, water and waste management and energy categories, while smart cities frameworks best cover economic issues. Nonetheless, aspects related to environment and energy are undersized in smart cities frameworks: environmental indicators are lacking, even though the reduction of greenhouse gas (GHG) and energy consumption are central to the smart city agenda.

Measuring the smartness and sustainability of a city are “infinitely complex because city systems are interrelated and in constantly changing” (Choon et al. 2011, p.28). If reaching a sustainable system as a whole seems a quasi-utopian mission, an urban metabolism approach can be extremely effective in achieving a more sustainable energy consumption pattern by directly addressing energy consumption in dwellings and urban mobility. Urban metabolism focuses on the material and energy flows and waste generated by urban processes (Kennedy 2002; Prata et al. 2014; Goonetilleke et al. 2014; Yang et al. 2014).

Smart and sustainable cities assessment models gain key importance as local governments make commitments to reduce CO2 emissions and need adequate instruments to measure their performance (Bourdic et al. 2012; Kamruzzaman et al. 2015). According to Egilmez et al. (2015), CO2 emissions per capita and percentage of workers moving using public transportation and or non-motorised modes can significantly affect the sustainability performance of a city. For example, the city of Aveiro in Portugal, would achieve a higher energy efficiency and a reduction of 62% in CO2 emissions with the integration of the energy systems and urban mobility from renewable sources and the use electric vehicles (Prata et al. 2014, p.881).

The task, however, is much more complex than measuring a city’s GHG emissions. Kennedy (2002) remarks that urban smartness and sustainability assessment is often a costly endeavour and ideally should include elements of interaction that goes beyond the city, such as air pollution. Tumini (2016) highlights that the integration of resilience into government policies and instruments focused on urban sustainability can reveal the potential to better harness the synergies between sustainability and resilience for the smart and sustainable development of cities.

The realities of cities in countries with different levels of development are quite different. According to Ding et al. (2015), multidimensional frameworks for smartness and sustainability assessment are often designed to cities in developed countries, and when applied in cities of developing countries they end up presenting major limitations, so for the assessment of those emerging cities it would make more sense to start from existing models or frameworks with simple and easy-to-understand implementation. Following this line, Tumini (2016) argues that rather than imposing ready-to-use models of urban development at a high cost would be to allow a region’s own natural development, working its urban regeneration from its constituent elements and a holistic understanding of the territory.

Indicators are essential tools to support decision-making processes towards the smart and sustainable development of cities and should reflect the aspirations of their citizens in order to express the inputs of the multiple actors present in the urban environment (Choon et al. 2011). Subjectivity in the choice of indicators is somehow inevitable given the diffuse nature of the concept of sustainability and the lack of more straightforward definitions (Phillis et al. 2017). In addition, indicators for smart and sustainable cities are far from any consensus, given the asymmetry of views founded in existing models.

The systematic use of indicators for monitoring and evaluation of sustainable cities, regardless of the model or framework adopted, is necessary for quality, reliability and comparability of data over time. However, the assessment of a city is not always transparent in the choice and justification of the indicators. Bourdic et al. (2012, p.600) call attention to the fact that in some extent, indicators in urban smartness and sustainability assessment tools “mix different mathematical equations without revealing them or explaining in detail what exact information they give”.

In fact, indicators should be instruments to measure what matters, insofar as they relate to specific topics of interest or specific areas of the city. Instead of making new lists of indicators of urban sustainability, Mori and Yamashita (2015) investigate how indicators can be able to assess the sustainability of a city and compare them with others, pointing that city assessments measure an instant picture of their sustainability, but they cannot tell whether a city is on a positive or negative trajectory.

Knowledge-based, smart and sustainable city is a conceptual framework that displays a KBUD strategy aimed to promote smart and sustainable cities through the operationalisation of a knowledge management integrated approach, based on the KBUD framework designed by Yigitcanlar and Lönnqvist (2013). Before the description of the proposed conceptual framework, a common understanding of what the referred KBUD framework stands for is necessary (Fig. 1). KBUD stands for what Yigitcanlar (2011, p.354) has defined as “the new development paradigm of the knowledge era that aims to bring economic prosperity, environmental sustainability, a just socio-spatial order and good governance to cities”. KBUD has set a new paradigm of urban planning.

The KBUD framework wires four development domains of knowledge, including economic, socio-cultural, enviro-urban, and institutional (Yigitcanlar 2011, 2014a). The economic development domain is structured over the knowledge economy foundations, where knowledge is the key production factor of added value to produce prosperity. The socio-cultural development domain is intended to produce equity by designing and implementing several educational and cultural strategies to enhance human and social capital and creating a broad space of opportunities for people to develop their skills. The enviro-urban development domain will produce sustainability where spatial quality is achieved by fostering sustainable urban development and a better quality of life and place. The institutional development domain produces enablers of a knowledge governance that creates a good governance climate and eventually generates organisational quality.

In terms of implementation, the model is applied to numerous contexts. For instance, Yigitcanlar et al. (2015b) demonstrated new possible understanding on cities’ profiles and possible levels of comparison by successfully applying KBUD assessment framework in Finnish cities. Similarly, Yigitcanlar and Bulu (2015) applied the framework in Turkey. Additionally, Yigitcanlar and Sarimin (2015) adopted the framework to evaluate the Multimedia Super Corridor’s KBUD in Malaysia.

This paper brings together the KBUD concept with smart and sustainable cities. By doing so, the paper proposes a knowledge-based, smart and sustainable city conceptual framework. The proposed knowledge-based, smart and sustainable city conceptual framework is made of three main components: (a) Implementation drivers; (b) Knowledge management integrated approach, and; (c) Monitoring and evaluation (Fig. 2).

In a highly urbanising world, the task of assessing smart and sustainable cities is a hard one, evolving many different dimensions and high levels of complexity and systemic interdependence (Zhao et al. 2008). Smart and sustainable city assessment models can benefit from an integrated approach, so they can provide not only subsidies for mainstreaming evidence-based policymaking, but also to foster a cumulative process of KBUD within the city. Maiello et al. (2011) recommend investigating new visions for the smart and sustainable development of cities. The study at hand has shown us that smart and sustainable cities are a diffuse concept with many different assessment approaches. When sustainability is a major guideline in a city’s long-term vision, the actions of the present time should seek to be align with a common vision of future, where the attainment of a higher quality of life today does not undermine the opportunities of the next generations to thrive.

The smart and sustainable city as the ultimate goal of its citizens helps to establish the necessary boundaries, key priorities, long-term urban planning and the inevitable integration of knowledge management processes. Breaking unsustainable patterns, in many cases, involves cultural changes in human behaviour and citizen practice that only matures in the long term and are difficult to measure. In Egger (2006, p.1246) words, “people have the ability to influence sustainability by understanding how the city system relates to humanity and the biosphere and taking the necessary action to ensure development is sensitive to others in current and future generations”.

Cities are also reflecting the transition from industrial to knowledge-based, from unrealised to fully available, from linear to systemic, from national to planetary (Carrillo 2002), so the tension between the coexistence of both old and new paradigms reflects in what people attribute as value as well. One could expect major shifts in the way human life unfolds since the knowledge era is a 21st century phenomena still in its early stages, moving from tangible assets to intangible assets, with perceived knowledge being a value, as capital.

KBUD as a development strategy reveals to be a smooth fit to promote smart and sustainable cities. It can work as the vessel of the knowledge management of a city by articulating four development domains in a comprehensive way. Bulkeley et al. (2016, p.13) define urban living labs as “sites devised to design, test and learn from innovation in real time in order to respond to particular societal, economic and environmental issues in a given urban place”. Urban living labs are currently playing the orchestration role in urban sustainability transitions, in many smart cities such as Amsterdam, can be a promising innovative urban planning strategy to accelerate the promotion of smart and sustainable cities.

This paper advocates the merger of KBUD, smart city and sustainable development concepts. It, furthermore, provokes the readers with a knowledge-based, smart and sustainable city conceptual framework proposal. More analytical studies and practical experimentations are necessary to bring evidence in order to check for the consistency of the proposed conceptual framework. Our prospective research will focus on to seek to combine scientific knowledge with real urban experiences, where the production of transdisciplinary knowledge could help foster urban transitions to more smart and sustainable cities.