ABSTRACT

Smart cities are proposed as a solution for problems of urbanization. Technologies associated with smart cities involve the monitoring of human activities and resulting data streams. These technologies affect certain public values, which may be subject to change depending on their sociotechnical development. This paper presents a method that enables decision-makers to anticipate on this pattern of value change. This method uses two axes that allow a technology to be plotted in terms of different value-laden functions: a first axis in which projects are classified that collect either personal information or impersonal information; a second axis that classifies projects as to whether they collect data for the purpose of service or surveillance. For 37 sensor-based projects in the city of Rotterdam, it has been studied how projects may shift from one quadrant to another. These shifts inform decision-makers so they are better capable of anticipating undesirable impacts of technological developments.

摘要

智慧城市被提出作为城市化问题的解决方案。与智慧城市相关的技术涉及对人类活动及其产生的数据流的监控。这些技术影响某些公共价值观，这些价值观可能会根据其社会技术的发展而发生变化。本文提出了一种方法，使决策者能够预测这种价值变化模式。该方法使用两个轴，允许根据不同的价值函数来绘制技术：第一个轴，对收集个人信息或非个人信息的项目进行分类；第二个轴根据项目是否出于服务或监视目的收集数据进行分类。对于鹿特丹市的 37 个基于传感器的项目，人们已经研究了项目如何从一个象限转移到另一个象限。这些转变为决策者提供了信息，使他们能够更好地预测技术发展的不良影响。