Data-driven smart eco-cities and sustainable integrated districts: A best-evidence synthesis approach to an extensive literature review

As materializations of trends toward developing and implementing urban socio-technical and enviro-economic experiments for transition, eco-cities have recently received strong government and institutional support in many countries around the world due to their ability to function as an innovative strategic niche where to test and introduce various reforms. There are many models of the eco-city based mainly on either following the principles of urban ecology or combining the strategies of sustainable cities and the solutions of smart cities. The most prominent among these models are sustainable integrated districts and data-driven smart eco-cities. The latter model represents the unprecedented transformative changes the eco-city is currently undergoing in light of the recent paradigm shift in science and technology brought on by big data science and analytics. This is motivated by the growing need to tackle the problematicity surrounding eco-cities in terms of their planning, development, and governance approaches and practices. Employing a combination of both best-evidence synthesis and narrative approaches, this paper provides a comprehensive state-of-the-art and thematic literature review on sustainable integrated districts and data-driven smart eco-cities. The latter new area is a significant gap in and of itself that this paper seeks to fill together with to what extent the integration of eco-urbanism and smart urbanism is addressed in the era of big data, what driving factors are behind it, and what forms and directions it takes. This study reveals that eco-city district developments are increasingly embracing compact city strategies and becoming a common expansion route for growing cities to achieve urban ecology or urban sustainability. It also shows that the new eco-city projects are increasingly capitalizing on data-driven smart technologies to implement environmental, economic, and social reforms. This is being accomplished by combining the strengths of eco-cities and smart cities and harnessing the synergies of their strategies and solutions in ways that enable eco-cities to improve their performance with respect to sustainability as to its tripartite composition. This in turn means that big data technologies will change eco-urbanism in fundamental and irreversible ways in terms of how eco-cities will be monitored, understood, analyzed, planned, designed, and governed. However, smart urbanism poses significant risks and drawbacks that need to be addressed and overcome in order to achieve the desired outcomes of ecological sustainability in its broader sense. One of the key critical questions raised in this regard pertains to the very potentiality of the technocratic governance of data-driven smart eco-cities and the associated negative implications and hidden pitfalls. In addition, by shedding light on the increasing adoption and uptake of big data technologies in eco-urbanism, this study seeks to assist policymakers and planners in assessing the pros and cons of smart urbanism when effectuating ecologically sustainable urban transformations in the era of big data, as well as to stimulate prospective research and further critical debates on this topic.

The underlying components of data-driven smart sustainable cities of the future: a case study approach to an applied theoretical framework

The increased pressure on cities has led to a stronger need to build sustainable cities that can last. Planning sustainable cities of the future, educated by the lessons of the past and anticipating the challenges of the future, entails articulating a multi-scalar vision that, by further interplaying with major societal trends and paradigm shifts in science and technology, produce new opportunities towards reaching the goals of sustainability. Enabled by big data science and analytics, the ongoing transformative processes within sustainable cities are motivated by the need to address and overcome the challenges hampering progress towards sustainability. This means that sustainable cities should be understood, analyzed, planned, designed, and managed in new and innovative ways in order to improve and advance their contribution to sustainability. Therefore, sustainable cities are increasingly embracing and leveraging what smart cities have to offer in terms of data-driven technologies and applied solutions so as to optimize, enhance, and maintain their performance and thus achieve the desired outcomes of sustainability—under what has been termed “data-driven smart sustainable cities.” Based on a case study analysis, this paper develops an applied theoretical framework for strategic sustainable urban development planning. This entails identifying and integrating the underlying components of data-driven smart sustainable cities of the future in terms of the dimensions, strategies, and solutions of the leading global paradigms of sustainable urbanism and smart urbanism. The novelty of the proposed framework lies in combining compact urban design strategies, eco-city design strategies and technology solutions; data-driven smart city technologies, competences, and solutions for sustainability; and environmentally data-driven smart sustainable city solutions and strategies. These combined have great potential to improve and advance the contribution of sustainable cities to the goals of sustainability through harnessing its synergistic effects and balancing the integration of its dimensions. The main contribution of this work lies in providing new insights into guiding the development of various types of strategic planning processes of transformative change towards sustainability, as well as to stimulate and inspire future research endeavors in this direction. This study informs policymakers and planners about the opportunity of attaining important advances in sustainability by integrating the established models of sustainable urbanism and the emerging models of smart urbanism thanks to the proven role and untapped potential of data-driven technologies in catalyzing sustainable development and thus boosting sustainability benefits.

A Smart Right to the City—Grounding Corporate Storytelling and Questioning Smart Urbanism

Against the backdrop of multiple ongoing crises in European cities related to socio-spatial injustice, inequality and exclusion, we argue for a smart right to the city. There is an urgent need for a thorough account of the entrepreneurial mode of technocapitalist smart urbanism. While much of both affirmative and critical research on Smart City developments equate or even reduce smartness to digital infrastructures, we put actual smartness—in the sense of social justice and sustainability—at centre stage. This paper builds on a fundamental structural critique of (1) the entrepreneurial city (Harvey) and (2) the capitalist city (Lefebvre). Drawing upon Lefebvre’s right to the city as a normative framework, we use Smart City developments in the city of Graz as an illustration of our argument. Considering strategies of waste and mobility management, we reflect on how they operate as spatial and technical fixes—fixing the limits of capitalism’s growth. By serving specific corporate interests, these technocapitalist strategies yet fail to address the underlying structural causes of pressing urban problems and increasing inequalities. With Lefebvre’s ongoing relevant argument for the importance of use value of urban infrastructures as well as his claim that appropriation and participation are essential, we discuss common rights to the city: His framework allows us to envision sustainable and just—actually smart—alternatives: alternatives to technocapitalist entrepreneurial urbanisation. In this respect, a smart right to the city is oriented towards the everyday needs of all inhabitants.

Smart as (un)democratic? The making of a smart city imaginary in Kolkata, India

‘Smart’ imaginaries have been enthusiastically embraced by urban planners and policymakers around the world. Indians are no exception. Between 2015–2018, following national government guidelines to use participatory and inclusive processes, many cities developed proposals for a smart city challenge. Successful proposals received financial and technical support from the national government. We examine the making of the smart city proposal submitted by New Town Kolkata (NTK). We ask how (un)democratic was the making of the proposal, along three aspects: distributive, participatory, and responsive. Based on an analysis of documents and interviews with policymakers and citizens, we find that NTK’s smart city imaginary largely failed to be distributive. It rarely accounted for the specific needs of poorer and vulnerable citizens. City officials invested considerable effort in using participatory techniques, but citizen participation was tightly controlled through top-down design and practice of the techniques. The latter often facilitated one-way flow of information from the city administration to the citizens. The proposal was responsive to some citizens’ voices, but only those belonging to the more affluent classes. A messy diversity of citizens’ voices was thus closed down, as the city officials filtered and cherry-picked citizens’ voices that were well-aligned with the official technocratic vision of ‘global’ smart urbanism. The paper shows how democracy can be put in the service of technocracy, within a rhetoric of citizen participation and social inclusion that embodies smart urbanism.

A novel model for data-driven smart sustainable cities of the future: the institutional transformations required for balancing and advancing the three goals of sustainability

In recent years, it has become increasingly feasible to achieve important improvements of sustainability by integrating sustainable urbanism with smart urbanism thanks to the proven role and synergic potential of data-driven technologies. Indeed, the processes and practices of both of these approaches to urban planning and development are becoming highly responsive to a form of data-driven urbanism, giving rise to a new phenomenon known as “data-driven smart sustainable urbanism.” Underlying this emerging approach is the idea of combining and integrating the strengths of sustainable cities and smart cities and harnessing the synergies of their strategies and solutions in ways that enable sustainable cities to optimize, enhance, and maintain their performance on the basis of the innovative data-driven technologies offered by smart cities. These strengths and synergies can be clearly demonstrated by combining the advantages of sustainable urbanism and smart urbanism. To enable such combination, major institutional transformations are required in terms of enhanced and new practices and competences. Based on case study research, this paper identifies, distills, and enumerates the key benefits, potentials, and opportunities of sustainable cities and smart cities with respect to the three dimensions of sustainability, as well as the key institutional transformations needed to support the balancing of these dimensions and to enable the introduction of data-driven technology and the adoption of applied data-driven solutions in city operational management and development planning. This paper is an integral part of a futures study that aims to analyze, investigate, and develop a novel model for data-driven smart sustainable cities of the future. I argue that the emerging data-driven technologies for sustainability as innovative niches are reconfiguring the socio-technical landscape of institutions, as well as providing insights to policymakers into pathways for strengthening existing institutionalized practices and competences and developing and establishing new ones. This is necessary for balancing and advancing the goals of sustainability and thus achieving a desirable future.