Case Study [b]

Digitalization facilitates new analytic tools to interpret, model, and assess how humans interact and behave in urban environments. New Urban Science is set to provide insights on urban functions that can be used to inform solutions to real-world problems, in particular regarding design strategies for smart cities. Sustainable smart city design depends on the underlying dynamics of human choices related to consumption, well-being (including lifestyle), mobility and governance (political and socio-economic organizations). The widely accepted societal agenda is sustainable development that both mitigates and adapts to climate and environmental change while maintaining citizens' well-being. In line with this agenda, we wish to better understand the role of human-social behavior and choices in social networks facilitated by enhanced digitalization, specifically in the context of evolving smart cities. The case study involves three steps:

1) Psychological basis for individual and collective decision-making

Given the significance of human values, preferences and ultimately choices, for the design of smart cities, it is important to understand the psychology of choice in the urban context. Behavioral economics provides a broad framework for quantifying choices between uncertain gains or losses, which is a starting point. Sustainable smart cities are seen in a more complex context that includes ethical, emotional and ultimately existential issues in addition to material gains/losses. In this step, we will develop a conceptual framework to define the most important psychological factors of decision-making in a sustainable smart city context, from individual to the collective. We will also examine how digital tools can be used to extend and enhance specific environmental, social, and economic agendas in urban systems viewed as multi-level, integrated social networks.

2) Individual choices and social networks

A dynamic framework and parametrization for economic choices as prospects and simple game strategies will be developed and verified based on broad literature data. This step will provide a novel basis for linking individual decision making at the mesoscale with decisions in social networks at the macro-scale. In line with overall HiSS project goals, we shall attempt to also relate individual decision-making at the mesoscale to neuro-cognitive processes at the micro-scale. The focus of this step will be relatively small social networks, from single to multiple (two, three) agents. Canonical two-agent interactions are simple games with strategic binary choices. As a systematic approach, the most basic prototype simple strategic games will first be considered, from matching pennies to prisoners dilemma to evaluate and verify the conceptual framework; prisoners dilemma, for instance, has been shown to be highly relevant in many real-life contexts where the balance between competition and cooperation is at stake. Other games will be considered to explore for sustainability particularly relevant balance between exploration and exploitation. The overall goal of this step is to define a common dynamic framework between classical economic choices and strategic games that can be expanded to multiple interacting agents in networks. The methodology for this step will draw from behavioral economics, game theory, information theory, consensus in social networks, reinforcement learning, etc.

3) From social networks to collective action

In this step, four important application areas of human-social interactions will be addressed (Figure). Human-social choices/behaviour in real-world urban conditions are to be considered from building-scale testbeds to districts or parts of cities; our focus will be on the City of Stockholm. The first application area is consump6on where the focus is on energy/ resource use in apartments and/or office buildings. The starting point will be observations from the LiveIn-Lab (Case Study [c]), specifically tenant choices/behaviour and possible effects of social networks on this behaviour. The extension from the lab to real-world conditions is planned at Hammarby Sjöstad, in line with Case Study [a]. The second application area is mobility with a relatively wide literature that will be our starting point. Here we will revisit existing mobility data or collaborate in acquiring new data, for the specific purpose of deeper understanding human mobility choices, from individual to multiple interconnected agents. The third application area is governance where the focus will be on social network interactions and effects in a typical voting process. Finally, the fourth application area will be citizens well-being with the purpose of better understanding the mechanisms of social influence on individual lifestyle choices that are central to well-being. Here we will try to take advantage of Case Study [a] and connect with stakeholders in the Hammarby Sjöstad district to study if and how digital tools may enhance individual and collective well-being as a central part of sustainable-smart city agendas.