2026-09-17

96 journals· 306 candidates — 4 worth your time· 90 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

Coastal inundation risk, road-network stress tests, and railway-station green spaces

Today, together

tag shift
no tag ran above its 30-day average
shares references
no items share references today counted over the 4 papers published above
on the same shoulders
4 of the day's papers cite How Accessibility Shapes Land Use (Walter G Hansen 1959) counted over the 93 of this day's 94 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
Heze Medical College; Heze University; Institute of Forest Ecology of the Slovak Academy of Sciences; and 2 more none of them on a paper we published in the 97 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.

"Road-Closure Stress Testing of Essential-Service Accessibility in Yemen" developed a national network stress test using OpenStreetMap road data and WorldPop population grids to model access to markets, health facilities, and fuel stations for 41.18 million people across 8,460 cells. "Effects of urban green spaces on visiting population of railway station areas" analyzed the relationship between urban green spaces and the staying population within railway station catchment areas. "Geometric and topological analysis of convergence and divergence in urban water pipeline and road networks across regions" compared the geometric and topological structures of water pipeline and road networks across Kigali, Kisumu, La Rochelle, and Vancouver.

published: Discover Cities

Central University of Jharkhand

Climate Change and Sustainable Development · Tropical and Extratropical Cyclones Research · Earthquake and Disaster Impact Studies · random forest · geemap · Central University of Jharkhand

Spatiotemporal dynamics of coastal urbanization and future inundation risk in the krishna godavari delta

This study quantified land use changes and urban sprawl in Kakinada, India, from 1990 to 2022 using Landsat imagery, Random Forest classification, and Shannon entropy. The built-up area expanded from 5.87% to 15.84% over this period, encroaching on vegetation and cropland. Integrating FABDEM elevation data with IPCC AR6 sea-level rise scenarios, the researchers modeled future inundation, finding that a 1-meter rise threatens 0.31 square kilometers of built-up area, while an extreme 7-meter surge exposes 43.12 square kilometers of urban footprint.

Why it matters — It measures how industrial-driven sprawl is actively pushing urban development into low-elevation coastal zones, quantifying the direct link between historical expansion patterns and future climate vulnerability in a rapidly growing deltaic port city.

Caveat: The inundation modeling relies on a modified bathtub approach, which may not fully capture complex hydrodynamic processes during actual storm surge events.

published: Applied Spatial Analysis and Policy

International Institute for Applied Systems Analysis

Infrastructure Resilience and Vulnerability Analysis · Urban Transport and Accessibility · Water Governance and Infrastructure · network analysis · street network data · International Institute for Applied Systems Analysis

Road-Closure Stress Testing of Essential-Service Accessibility in Yemen

This study develops a national network stress test for Yemen using OpenStreetMap road data and WorldPop population grids to model access to markets, health facilities, and fuel stations for 41.18 million people across 8,460 cells. It simulates five road-closure scenarios (random, clustered, major-road, access-betweenness, and bridge targeting) at intensities of 1%, 5%, 10%, and 20%. The analysis reveals that bridge targeting is most disruptive at 1% closure (disconnecting 15.65% of the population), access-betweenness at 5% (35.28%), and major-road targeting at higher intensities, while spatial closures cause extreme localized disconnection of up to 93.95% within the immediate footprint.

Why it matters — It demonstrates that national-level network vulnerability metrics mask severe localized isolation, proving that infrastructure resilience planning must pair national averages with local exposure measures to protect access to essential services.

Caveat: The simulation relies on simplified physical road links and stylized closure mechanisms rather than real-time, empirical disruption data.

published: Discover Cities

Tokyo University of Science

Urban Green Space and Health · Land Use and Ecosystem Services · Urban Design and Spatial Analysis · satellite imagery · Tokyo University of Science

Effects of urban green spaces on visiting population of railway station areas

This study analyzes the relationship between urban green spaces and the staying population within railway station catchment areas. It measures vegetation using the Normalized Difference Vegetation Index (NDVI) calculated from satellite imagery, and quantifies human mobility and population presence using GPS location data.

Why it matters — It establishes a direct empirical link between urban vegetation levels and human staying patterns, helping planners design green spaces that actively foster urban vibrancy and mitigate the effects of population decline.

Caveat: The abstract does not disclose the specific geographic location, sample size, or the exact quantitative findings of the analysis.

published: Discover Cities

Heze Medical College

Urban Design and Spatial Analysis · Water Governance and Infrastructure · Urban Transport and Accessibility · spatial analysis · street network data · Heze Medical College

Geometric and topological analysis of convergence and divergence in urban water pipeline and road networks across regions

This study compared the geometric and topological structures of water pipeline and road networks across four cities: Kigali (Rwanda), Kisumu (Kenya), La Rochelle (France), and Vancouver (Canada). Representing the infrastructure as dual graphs and using total least squares analysis, the researchers measured network centrality, global topological properties, and spatial co-location. The analysis revealed that while pipeline networks are highly similar across all four cities, road networks vary by region, with Southern cities showing lower spatial co-location between roads and pipelines and a faster decline in pipeline centrality from the center to the periphery.

Why it matters — It demonstrates that water pipeline structures do not simply mirror road networks, particularly in the Global South where community distribution and water facility locations create distinct spatial patterns. This challenges the common modeling assumption that road networks can serve as a reliable proxy for underground water infrastructure layout across different global contexts.

Caveat: The findings are based on an exploratory comparative framework of only four case study cities, which limits the immediate generalizability of the regional differences identified.

Still cited

Karst Geurs, Bert van Wee (2003), Accessibility evaluation of land-use and transport strategies: review and research directions 1 of today's items cite it · 54 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.

Status changes