# Urban Comfort Assessment in the Era of Digital Planning: A Multidimensional, Data-driven, and AI-assisted Framework

arXiv: https://arxiv.org/abs/2508.16057 · HTML: https://mlsanity.com/paper/2508.16057/

## Key facts

- Cited by 1 papers in the map (data through 14 Oct 2026).
- Builds on 4 of its 30 references that are in the map.
- First posted on arXiv 22 Aug 2025.

## Builds on (most cited first, 4 of 4)

- [Deep Learning the City : Quantifying Urban Perception At A Global Scale](https://mlsanity.com/paper/1608.01769/) (2016)
- [Thermal Comfort in Sight: Thermal Affordance and its Visual Assessment for Sustainable Streetscape Design](https://mlsanity.com/paper/2410.11887/) (2024)
- [Exploring Urban Comfort through Novel Wearables and Environmental Surveys](https://mlsanity.com/paper/2408.08323/) (2024)
- [Make yourself comfortable: Nudging urban heat and noise mitigation with smartwatch-based Just-in-time Adaptive Interventions (JITAI)](https://mlsanity.com/paper/2501.09530/) (2025)

## Built on by (most cited first, 1 of 1)

- [Reasoning Is All You Need for Urban Planning AI](https://mlsanity.com/paper/2511.05375/) (2025)

## Abstract (arXiv)

Ensuring liveability and comfort is one of the fundamental objectives of urban planning. Numerous studies have employed computational methods to assess and quantify factors related to urban comfort such as greenery coverage, thermal comfort, and walkability. However, a clear definition of urban comfort and its comprehensive evaluation framework remain elusive. Our research explores the theoretical interpretations and methodologies for assessing urban comfort within digital planning, emphasising three key dimensions: multidimensional analysis, data support, and AI assistance.