A gift from heaven: Google’s Environmental Insights Explorer and its tech-down approach to monitor urban sustainability beyond local contexts

IF 4.1 1区 经济学 Q1 ENVIRONMENTAL STUDIES
Florian Koch, Sarah Beyer
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Abstract

Google’s Environmental Insights Explorer (EIE) exemplifies a tech-down approach by leveraging proprietary data, machine learning and artificial intelligence to analyse urban greenhouse gas emissions, solar potential and tree canopy coverage. While framed as a tool for cities to assess and improve sustainability, the EIE often overlooks localised contexts and depends on opaque data generation processes that follow commercial interests. This study evaluates the EIE’s data assemblage through critical urban data studies, focusing on its technical and contextual stacks. It critiques the EIE’s lack of transparency, dependence on proprietary data and marginalisation of local expertise. Despite its promise, the EIE raises significant concerns about power imbalances, data validity and urban governance implications. Cities utilising the EIE must reconcile its global standardisation with specific local needs, navigating a complex landscape shaped by Google’s corporate interests. The findings highlight the need for a more inclusive, context-specific approach to urban sustainability metrics that balances innovative data use with transparency and equitable stakeholder engagement. The EIE demonstrates how sustainability indicators and data are defined through a technology-driven process shaped by a private company, while neglecting local knowledge and narratives. This process – referred to as a tech-down approach – differs from both bottom-up and top-down methods of sustainability indicator selection, as well as from data philanthropy initiatives by private companies, due to its exclusive reliance on corporate data and its global scope. This study urges critical reflection on the broader implications of tech-driven urban monitoring tools like the EIE.
来自天堂的礼物:b谷歌的“环境洞察探索者”(Environmental Insights Explorer)和它的高科技方法,可以监测超越当地背景的城市可持续性
b谷歌的环境洞察探索者(EIE)通过利用专有数据、机器学习和人工智能来分析城市温室气体排放、太阳能潜力和树冠覆盖率,体现了一种技术方法。虽然EIE是作为城市评估和提高可持续性的工具而制定的,但它往往忽视了当地的情况,并依赖于遵循商业利益的不透明数据生成过程。本研究通过关键的城市数据研究来评估EIE的数据组合,重点关注其技术和上下文堆栈。它批评EIE缺乏透明度,依赖专有数据,以及对当地专业知识的边缘化。尽管EIE做出了承诺,但它引发了对权力失衡、数据有效性和城市治理影响的重大担忧。利用EIE的城市必须协调其全球标准化与特定的地方需求,在谷歌企业利益塑造的复杂景观中导航。研究结果强调,需要采取更具包容性、针对具体情况的城市可持续性指标方法,在创新数据使用与透明度和利益相关者公平参与之间取得平衡。EIE展示了可持续发展指标和数据是如何通过私营公司形成的技术驱动过程来定义的,同时忽略了当地的知识和叙述。这一过程——被称为技术向下的方法——不同于自下而上和自上而下的可持续发展指标选择方法,也不同于私营公司的数据慈善倡议,因为它完全依赖于企业数据和其全球范围。这项研究敦促对技术驱动的城市监测工具(如EIE)的更广泛影响进行批判性反思。
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来源期刊
Urban Studies
Urban Studies Multiple-
CiteScore
10.50
自引率
8.50%
发文量
150
期刊介绍: Urban Studies was first published in 1964 to provide an international forum of social and economic contributions to the fields of urban and regional planning. Since then, the Journal has expanded to encompass the increasing range of disciplines and approaches that have been brought to bear on urban and regional problems. Contents include original articles, notes and comments, and a comprehensive book review section. Regular contributions are drawn from the fields of economics, planning, political science, statistics, geography, sociology, population studies and public administration.
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