2026-10-24

7 arXiv categories· 96 journals· 2758 candidates — 3 worth your time· 105 without an open abstract

Headline

Data and code sharing rates across 10,724 transportation research articles

Today, together

tag shift
no tag ran above its 30-day average
shares references
no items share references today counted over the 3 papers published above
on the same shoulders
6 of the day's papers cite Travel and the Built Environment (Reid Ewing, Robert Cervero 2010); 4 cite Travel demand and the 3Ds: Density, diversity, and design (Robert Cervero, Kara M. Kockelman 1997); 4 cite Correlation or causality between the built environment and travel behavior? Evidence from Northern California (Susan Handy, Xinyu Cao 2005) counted over the 98 of this day's 108 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
Brigham Young University; Nagaoka University of Technology; Polytechnique Montréal; and 1 more none of them on a paper we published in the 134 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.

datapublished: Transportation Research Part C Emerging Technologies

Vanderbilt University

Research Data Management Practices · Academic Publishing and Open Access · scientometrics and bibliometrics research · large language model · Vanderbilt University · Massachusetts Institute of Technology

Measuring the state of open science in transportation using large language models

Using a large language model pipeline validated against human annotations, the study evaluated code and data sharing across 10,724 articles published in Transportation Research Parts A through F from 2019 to 2024. Among quantitative papers, only 5% shared code repositories, 4% shared data repositories, and 3% provided both. The analysis detected no statistically significant differences in citation counts or peer-review durations between open-science papers and non-sharing papers.

Why it matters — It provides the first large-scale empirical baseline for open science practices in transportation, demonstrating that individual author incentives like higher citations or faster reviews are currently absent in the field.

Caveat: The dataset is restricted to six journals within the Transportation Research Part series, which may not represent all subfields or publishing venues in transportation studies.

published: Applied Geography

Chulalongkorn University

Urban Transport and Accessibility · Regional Economics and Spatial Analysis · Urban Planning and Governance · satellite imagery · Chulalongkorn University · The University of Tokyo

Urban rail transit, economic activity, and land development: A spatial difference-in-differences analysis of the Bangkok Metropolitan Region

Using spatial difference-in-differences on satellite-derived night-time light and vegetation index data, this study measures the impact of Bangkok's Purple Line rail transit on surrounding areas. The rail expansion significantly boosted local economic activity and generated positive spatial spillovers, particularly in initially underdeveloped locations, but led to slower physical land development near station nodes compared to distant control sites.

Why it matters — It challenges the assumption that transit accessibility automatically triggers physical land conversion, demonstrating that economic intensification and land development can decouple when land market constraints or regulatory hurdles exist.

Caveat: The study relies on remote sensing proxies rather than direct ground-level economic and land transaction data.

published: Applied Geography

Beijing Normal University

Fire effects on ecosystems · Land Use and Ecosystem Services · Disaster Management and Resilience · China · Beijing Normal University · Yunnan Normal University

China's expanding wildland–urban interface exhibits peaks in fire activity and population exposure at its margins

Using a buffer-overlap method at 30-meter resolution across five-year steps from 2000 to 2020, this study mapped China's wildland-urban interface (WUI) and classified it by vegetation types: forest, shrub, and grassland. The national WUI expanded by 22.99% over two decades to reach 528,000 square kilometers (5.50% of China's land area), driven primarily by urban growth. Fire activity and human exposure concentrated heavily in the 0-1 km buffer surrounding the designated WUI boundaries.

Why it matters — By demonstrating that fire activity and population exposure peak immediately outside defined WUI boundaries rather than inside them, the results challenge conventional spatial targeting for fire management and planning.

Caveat: Socioeconomic drivers were evaluated using a two-step model at the prefecture level, which may smooth out finer neighborhood-scale dynamics.

Still cited

Jie Yang, Xin Huang (2021), The 30 m annual land cover dataset and its dynamics in China from 1990 to 2019 1 of today's items cite it · 20 of 3384 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.