Balancing Efficiency and Equity: Ethical Considerations for Automation in Urban Planning

The integration of automation into urban planning introduces a complex dynamic where efficiency often clashes with equity, especially for marginalized communities. This necessitates a delicate balance between these two aspects. This article investigates the ethical principles and equity considerations in urban planning decisions, revealing a historical and contemporary bias towards efficiency, marginalizing certain groups. Automation, while beneficial in sectors like transportation, land use, and infrastructure, can perpetuate existing inequities and pose ethical challenges such as algorithmic bias and data privacy concerns. The article explores the impacts of automation on plan execution and monitoring, highlighting the need for current best practices to address these challenges. It provides an overview of automation in urban planning and calls for continuous research, collaboration, and improvement to ensure efficiency and equity are mutually reinforced.

Authors

Publication Details

Journal
EAI Endorsed Transactions on Smart Cities
Published
2025-02-21
DOI
https://doi.org/10.4108/eetsc.6208
Citations
1
Primary Topic
Smart Cities and Technologies
Type
article
Field-Weighted Citation Impact
1.14
Controls
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article

Balancing Efficiency and Equity: Ethical Considerations for Automation in Urban Planning

Vandit Mehta, Abhishek Raisinghani
1 citations
EAI Endorsed Transactions on Smart Cities
Smart Cities and Technologies
1.14
article

Balancing Efficiency and Equity: Ethical Considerations for Automation in Urban Planning

Vandit Mehta, Abhishek Raisinghani
article en
1 citations

Abstract

The integration of automation into urban planning introduces a complex dynamic where efficiency often clashes with equity, especially for marginalized communities. This necessitates a delicate balance between these two aspects. This article investigates the ethical principles and equity considerations in urban planning decisions, revealing a historical and contemporary bias towards efficiency, marginalizing certain groups. Automation, while beneficial in sectors like transportation, land use, and infrastructure, can perpetuate existing inequities and pose ethical challenges such as algorithmic bias and data privacy concerns. The article explores the impacts of automation on plan execution and monitoring, highlighting the need for current best practices to address these challenges. It provides an overview of automation in urban planning and calls for continuous research, collaboration, and improvement to ensure efficiency and equity are mutually reinforced.

EAI Endorsed Transactions on Smart CitiesVol. 7(4)
Openalex Percentile: Top 23%
Smart Cities and Technologies
1.14
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