2026-09-07

96 journals· 351 candidates — 3 worth your time· 131 without an open abstract

no arXiv arXiv answered and returned nothing this day, so this issue covers the rest. The papers below are real — what is missing is the other half of the scope, not the reading.

Headline

Urban microclimates, volcanic evacuation mode choices, and industrial corridor clustering

Today, together

tag shift
no tag ran above its 30-day average
shares references
Urbanization induced LULC transformation, its effects on land surface temperature and spectral index responses in Adama city, Ethiopia shares 6 references with Influence of 2D/3D urban landscape on land surface temperature from the perspective of urban functional zones (2026-06-30)
3 of them
  • Surface urban heat island in China's 32 major cities: Spatial patterns and drivers
  • Thermal infrared remote sensing for urban climate and environmental studies: Methods, applications, and trends
  • Thermal remote sensing of urban climates
; Urbanization induced LULC transformation, its effects on land surface temperature and spectral index responses in Adama city, Ethiopia shares 5 references with Machine learning downscaling of satellite derived land surface temperature in the historic urban heritage area of São João del-Rei Brazil (2026-07-07)
3 of them
  • Thermal infrared remote sensing for urban climate and environmental studies: Methods, applications, and trends
  • Use of normalized difference built-up index in automatically mapping urban areas from TM imagery
  • The use of the Normalized Difference Water Index (NDWI) in the delineation of open water features
; Urbanization induced LULC transformation, its effects on land surface temperature and spectral index responses in Adama city, Ethiopia shares 4 references with Impacts of land system change− driven urban heat islands on surface water dynamics and moisture conditions in Gauteng Province, South Africa (2026-08-13)
3 of them
  • Comparison of impervious surface area and normalized difference vegetation index as indicators of surface urban heat island effects in Landsat imagery
  • Red and photographic infrared linear combinations for monitoring vegetation
  • The use of the Normalized Difference Water Index (NDWI) in the delineation of open water features
counted over the 3 papers published above
on the same shoulders
7 of the day's papers cite Travel demand and the 3Ds: Density, diversity, and design (Robert Cervero, Kara M. Kockelman 1997); 6 cite Accessibility evaluation of land-use and transport strategies: review and research directions (Karst Geurs, Bert van Wee 2003); 5 cite Travel and the Built Environment (Reid Ewing, Robert Cervero 2010) counted over the 118 of this day's 134 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
Ambo University; Central University of Haryana; GeoSAS (Ethiopia); and 2 more none of them on a paper we published in the 87 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: Discover Cities

Dagim Hailu Hurisa, Abebe Tufa Angessa
Discover Cities

GeoSAS (Ethiopia)

Urban Heat Island Mitigation · Land Use and Ecosystem Services · Remote Sensing in Agriculture · remote sensing classification · GeoSAS (Ethiopia) · Ambo University

Urbanization induced LULC transformation, its effects on land surface temperature and spectral index responses in Adama city, Ethiopia

This study analyzed land use/land cover (LULC) changes, land surface temperature (LST), and spectral indices in Adama City, Ethiopia, using Landsat satellite images from 2004, 2014, and 2024. The supervised maximum likelihood classification achieved accuracies above 92% across all years, revealing that built-up areas expanded by 43.3% to cover 54.96% of the city by 2024, while agricultural land declined by 14.67%. This urban expansion led to declining NDVI and NDWI values, rising NDBI values, and a spatial homogenization of higher urban temperatures.

Why it matters — It quantifies the direct relationship between rapid urban expansion and the degradation of local thermal and ecological conditions in a rapidly growing Ethiopian city, providing empirical evidence of how the loss of agricultural and wet areas alters the urban microclimate.

Caveat: The study relies on land surface temperature derived from satellite thermal infrared bands, which represents skin temperature at a specific time of day rather than continuous ambient air temperature.

Discover Cities · pdf · doi

published: Transportation

Snehalata Thakur, Prakash Ranjitkar, Soroush Rashidi
Transportation

Lynn University

Evacuation and Crowd Dynamics · Disaster Management and Resilience · Facility Location and Emergency Management · regression · machine learning · random forest

Modelling evacuation mode choice behaviour under an imminent threat of volcanic eruption using logistic regression and machine learning methods

This study models evacuation mode choices for a hypothetical volcanic eruption in Auckland, New Zealand, using stated preference survey data. It compares logistic regression against four machine learning algorithms—Random Forest, Support Vector Machine, Probabilistic Neural Network, and Classification and Regression Tree—finding that Random Forest achieves the highest predictive accuracy. The analysis identifies vehicle ownership, evacuation timing, and route or destination preferences as the primary determinants of how residents choose to evacuate.

Why it matters — It demonstrates that machine learning classifiers, particularly Random Forest, provide superior predictive performance over traditional logistic regression for volcanic evacuation planning, allowing emergency managers to more accurately anticipate transport demand and resource allocation.

Caveat: The models are calibrated using stated preference survey data rather than observed behavior during an actual evacuation event.

Transportation · pdf · doi

published: Discover Cities

Brahampal Yadav, Asmita Kanav, Jitendra Kumar
Discover Cities

Central University of Haryana

Regional Economics and Spatial Analysis · Global Urban Networks and Dynamics · Fiscal Policy and Economic Growth · Central University of Haryana

How highway proximity and policy reforms shape industrial space across urban areas along India’s NH-48 corridor in the National Capital Region

This study models the spatial distribution of industries along a 127-kilometer stretch of India's NH-48 corridor from Gurugram to Behror across four policy phases spanning pre-1991 to 2025. Using exponential growth modeling and distance-decay analysis, it reveals that large-scale industries cluster tightly within 3 km of the highway with a steep decay coefficient of 1.57, while medium-scale industries diffuse further up to 7 km with a lower decay coefficient of 0.68.

Why it matters — It quantifies how industrial scale dictates spatial clustering along major transport corridors, demonstrating that infrastructure proximity exerts a much tighter spatial constraint on large-scale manufacturing than on medium-scale enterprises.

Caveat: The analysis relies on secondary data and focuses on a single, highly-developed corridor in India's National Capital Region, which may limit its generalizability to less prominent transport axes.

Discover Cities · pdf · doi

Still cited

Karen C. Seto, Burak Güneralp (2012), Global forecasts of urban expansion to 2030 and direct impacts on biodiversity and carbon pools 1 of today's items cite it · 26 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.