Smart City Planning

Abstract

This article reflects on the challenges for urban planning posed by the emergence of smart cities in network societies. In particular, it reflects on reductionist tendencies in existing smart city planning. Here the concern is with the implications of prior reductions of complexity which have been undertaken by placing primacy in planning on information technology, economical profit, and top-down political government. Rather than pointing urban planning towards a different ordering of these reductions, this article argues in favor of approaches to smart city planning via complexity theory. Specifically, this article argues in favor of approaching smart city plans holistically as topologies of organized complexity. Here, smart city planning is seen as a theory and practice engaging with a complex adaptive urban system which continuously operates on its potential. The actualizations in the face of contingency of such potential are what might have the city evolve over time, its organization, its wholeness, and its continued existence being at stake from moment to moment.

In-Depth Analysis of Railway and Company Evolution of Yangtze River Delta with Deep Learning

“…It is predicted that more than 60% of the population will live in an urban environment [3] by 2030 and this record will further reach 68% by 2050 [4]. With the notion and the theory of "urban planning" and "smart city" becoming more complex [5], much more advanced technical support are required [6]. At present, the data-centric [7,8] "smart city" is still in its infancy, and its development is challenged by none ective process of huge amount of data and restricted extraction of data values [9].…”

Foresight as a Tool for the Planning and Implementation of Visions for Smart City Development

“…It involves a wide range of stakeholders from various spheres: entrepreneurs, scientists, representatives of administration, non-governmental organisations, the media and inhabitants of various ages with diverse knowledge and experience in the field of city development, who, through their bottom-up view of the research problem, can make the formulation of development visions much more realistic. These visions should take into account the complexity of the urban system and skilfully use its potential [113] to better respond to social, economic and environmental change.…”

The Smart City Business Model Canvas—A Smart City Business Modeling Framework and Practical Tool

“…The transition process to a smart city requires the reformulation of urban structures, strategies, policies, ecosystems, and technologies and calls for novel business models. These should encompass the complexity of the urban system and continuously operate on its potential [6] in better addressing the social, economic, and environmental changes resulting from the population density increase.Comprehensive knowledge on designing business models for smart cities is therefore essential to systematically assess the most relevant aspects of investment propositions stimulating and fostering communication and engagement of relevant stakeholders who could potentially liaise the replication and large-scale roll-out of smart cities solutions. The literature provides us with several well-elaborated and verified frameworks for characterizing business models, design methods, and tools to develop, evaluate [7], and enhance a business model [8].…”

“…The transition process to a smart city requires the reformulation of urban structures, strategies, policies, ecosystems, and technologies and calls for novel business models. These should encompass the complexity of the urban system and continuously operate on its potential [6] in better addressing the social, economic, and environmental changes resulting from the population density increase.…”