2026-10-03

7 arXiv categories· 96 journals· 4763 candidates — 2 worth your time· 54 without an open abstract

Headline

Generative low-carbon urban design, and geographic disparities in hospice quality

Today, together

tag shift
no tag ran above its 30-day average
on the same shoulders
no foundation work was cited by four of the day's papers counted over the 51 of this day's 56 named papers whose reference lists we have — standing on the same older work is not the same as being about the same thing
first appearance
no institution here was new to the last 113 days none of them on a paper we published in the 113 days before this issue

Two counts, not one counted twice: every row here but “on the same shoulders” counts the papers published above, and that one counts every paper this day named — those and the ones under Also published today, whose abstracts we could not read.

published: Urban Informatics

Tao Wu, Zeyin Chen, Shiqi Zhou, et al.
Urban Informatics

Tongji University

3D Modeling in Geospatial Applications · Urban Heat Island Mitigation · Land Use and Ecosystem Services · energy consumption data · Tongji University

An advanced generative framework for low-carbon urban morphology optimization

The PC-GAN model integrates Pix2pix with a two-step CycleGAN-inspired mechanism to automatically generate high-resolution 3D urban block designs optimized for specific energy-reduction targets. The framework was tested on Guangzhou's six main Local Climate Zone types (LCZ1, LCZ2, LCZ4, LCZ5, LCZ6, and LCZ8) using stepwise 10% reductions in baseline energy use to produce low-carbon spatial configurations.

Why it matters — It replaces slow, iterative post-evaluation workflows with a generative design tool that directly translates quantitative energy-reduction goals into 3D urban forms.

Caveat: The model's optimization pathways and design generations are demonstrated only on the specific climate and urban morphology conditions of Guangzhou.

Urban Informatics · doi

preprint

Jinho Cha, Misun Roh
arXiv stat.AP

Geographic Disparities in Hospice Quality and Family Caregiver Experience: The Roles of Ownership, Social Vulnerability, and Workforce Capacity

This study analyzed caregiver experience data from 2,928 hospice providers across 1,078 US counties by linking national CMS and CAHPS survey outcomes with county-level social vulnerability, rurality, health burden, and workforce capacity. Incorporating county context into performance models increased the adjusted R-squared from 0.077 to 0.202. Even after full adjustment, for-profit hospices scored 3.832 percentage points lower in overall caregiver ratings compared to non-profit providers, a deficit that persisted across all six secondary survey domains.

Why it matters — The study demonstrates that while local socioeconomic and resource contexts significantly shape hospice performance, they do not explain away the systematic quality deficit of for-profit providers. This establishes a more equitable, context-aware framework for comparing hospice quality across different geographic regions.

arXiv · pdf

Still cited

Iain D. Stewart, T. R. Oke (2012), Local Climate Zones for Urban Temperature Studies 1 of today's items cite it · 41 of 3240 in the archive stand on it

Also published today

These appeared today in journals we track. Their abstracts are not openly available, so we cannot summarise them.