2026-10-22

7 arXiv categories· 96 journals· 3400 candidates — 7 worth your time· 62 without an open abstract

Headline

An eco-friendly trip planner accounting for travel-time and review uncertainty

Today, together

tag shift
no tag ran above its 30-day average
shares references
no items share references today counted over the 7 papers published above
on the same shoulders
no foundation work was cited by four of the day's papers counted over the 57 of this day's 69 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
Cooch Behar Panchanan Barma University; University of Georgia none of them on a paper we published in the 132 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.

"An Eco-Friendly Tourism Trip Planner Driven by Z-Number Uncertainty" models variable travel times and review counts using fuzzy reliability scores to generate sustainable itineraries across five cities. "An interactive framework for personalised urban accessibility assessment" provides a deployed mapping tool that recalculates accessibility scores instantly using customizable preferences for walking distances, substitute services, and essential amenities. "The Geographic Moran Effect: Theory, Methods, and Interpretation" introduces a two-step spatiotemporal factor framework adapting ecological theory to detect and decompose synchronous temporal variation across spatial entities driven by external forcing.

datapreprint

Aziz Nuriyev, Sherzod Turaev, Saja Al-Dabet, et al.
arXiv physics.soc-ph

points of interest · Istanbul

An Eco-Friendly Tourism Trip Planner Driven by Z-Number Uncertainty: Evidence from Baku, Dubai, Abu Dhabi, Tashkent, and Istanbul

This paper developed an eco-friendly tourism itinerary generator that models travel times and user ratings using Z-numbers derived from departure-hour routing data and total review counts. Using an adaptive large neighborhood search algorithm, the authors benchmarked the system against a crisp-mean planner across 15 points of interest in Baku, Dubai, Abu Dhabi, Tashkent, and Istanbul over 150 seed-paired runs. The proposed method reduced average trip carbon emissions by 19.3% (from 3.24 to 2.61 kg) and total travel time by 11.5% (from 123 to 109 minutes).

Why it matters — It replaces exact-value assumptions in travel recommendation systems with uncertainty-aware fuzzy reliability, establishing that accounting for travel-time variance and rating volume directly lowers carbon emissions and transit duration.

Caveat: Because all evaluated points of interest had over 3,000 reviews, rating reliability remained uniform across the sample, and performance improvements varied substantially by city spatial structure.

arXiv · pdf

published: Discover Cities

Prabhanjana Ghuriki, S. Chanti
Discover Cities · was arXiv

Christ University

Urban Transport and Accessibility · Urban Design and Spatial Analysis · Geographic Information Systems Studies · Christ University

An interactive framework for personalised urban accessibility assessment

Researchers built and deployed a user-driven urban accessibility mapping system that recalculates scores instantly based on individual preferences for amenity types, custom walking distances, essential or unwanted destinations, and substitute services. Tested across Bengaluru, India, the system relies on precomputed shortest-path routing with rectangular impedance functions to perform real-time score updates, demonstrating that user configuration alters ward rank order far more than spatial aggregation method choice does.

Why it matters — This approach bridges person-sensitive accessibility research and public-facing planning tools by moving individual preference weighting out of offline GIS workflows and into an interactive map interface without sacrificing metric interpretability.

Caveat: Evaluating the framework using a simplified rectangular travel impedance function assumes hard walkability distance cutoffs rather than continuous decay functions.

Discover Cities · pdf · doi

published: Geographical Analysis

Zhenzhi Jiao, X. Angela Yao, Jean‐Claude Thill
Geographical Analysis · was arXiv

University of Georgia

Spatial and Panel Data Analysis · Ecosystem dynamics and resilience · Human Mobility and Location-Based Analysis · University of Georgia · University of North Carolina at Charlotte

The Geographic Moran Effect: Theory, Methods, and Interpretation

The authors adapted ecological theory to define the Geographic Moran Effect (GME)—synchronous temporal variation across spatial entities driven by external forcing—and created a two-step spatiotemporal factor framework to detect and decompose it into spatial and temporal components. The method was validated using synthetic data and applied to US county-level presidential voting records from 2008 to 2024 to separate shared national trends from spatially varying local responses.

Why it matters — Spatial analysts can now explicitly isolate and measure system-wide temporal synchronization without assuming uniform local sensitivity across space.

Geographical Analysis · doi

published: Discover Cities

Saddam Hossain, Md Khurshid Alam, Nazrul Islam
Discover Cities

Cooch Behar Panchanan Barma University

Remote Sensing and Land Use · Land Use and Ecosystem Services · Urban Design and Spatial Analysis · Cooch Behar Panchanan Barma University

Assessing urban growth dynamics in Cooch Behar city using the Shannon entropy model

Using Landsat imagery from 1990, 2006, and 2022, this study tracked built-up expansion in Cooch Behar, India, alongside multi-scalar calculations of normalized Shannon entropy across 20 wards, six 500-meter concentric rings, and eight directional sectors. The city's built-up area expanded from 2.24 to 6.28 km² at a compound annual growth rate of 3.27%, while ward-level entropy rose from 0.918 to 0.973 and the Gini coefficient fell from 0.380 to 0.227. The spatial classification for 2022 achieved 92.91% overall accuracy.

Why it matters — It demonstrates that rising spatial entropy reflects spatial equalization across sub-regions rather than physical compactness or infill, challenging the common practice of using entropy as a direct proxy for urban growth or sprawl.

Caveat: Historical land-cover changes for 1990 and 2006 lack independent accuracy validation, making early growth estimates provisional.

Discover Cities · doi

published: Applied Geography

Mengjie Wang, Xi Li
Applied Geography

Wuhan University

Income, Poverty, and Inequality · Regional Economics and Spatial Analysis · Urban and Rural Development Challenges · Wuhan University · State Key Laboratory of Information Engineering in Surveying Mapping and Remote Sensing

Differentiated associations between urbanization structure and asset wealth inequality in Africa

Integrating high-resolution asset wealth data with urbanization metrics across Africa from 2000 to 2024, this study reveals that rural wealth growth lagged at less than half the rate of urban areas. Econometric models and scenario simulations show that suburban expansion and dense urban development correlate with increased asset wealth inequality, whereas urban centre development is associated with reduced inequality.

Why it matters — It demonstrates that regional wealth inequality depends on the specific spatial pathway of land transformation rather than the overall pace or extent of urban growth.

Caveat: Scenario simulations indicating lower future inequality under urban centre development pathways carry uncertain magnitudes.

Applied Geography · doi

preprint

Yifan Sun, Ken Kurosaki, Benjamin C. McLellan
arXiv cs.SI

spatial analysis

Geospatial Dynamics of Online Attention to Nuclear Power in Japan Before and After Fukushima

An analysis of Google Trends data across Japan's prefectures from 2004 to 2024 reveals that routine online search interest in nuclear power concentrates heavily in host prefectures with little spillover to neighbors. Following the March 2011 Fukushima accident, this local pattern briefly shifted into a distance-decay effect centered on Fukushima, where closer prefectures focused on live updates and formal countermeasures while distant ones sought general background information. The original host-locality search distribution fully returned by 2012.

Why it matters — The study replaces assumptions about public interest in nuclear energy with two decades of behavioral evidence, demonstrating that crisis-driven attention rapidly reverts to localized, host-prefecture baselines within a single year.

Caveat: Search interest serves as a proxy for information demand and public attention, which may not directly reflect underlying public opinion or policy support.

arXiv · pdf

preprint

Martí Bosch, Aldo Brandi, Christoph Bachofen, et al.
arXiv physics.ao-ph

random forest · Zurich

Urban climate regressions require representative monitoring networks

Using Zurich, Switzerland as a test case, this study evaluated multiple linear regression, generalized additive models, and random forests by incrementally adding up to 117 low-cost temperature sensors to four official reference weather stations. Training models strictly on standard reference stations caused all algorithms to underestimate the full city-wide temperature range because those stations miss extreme urban contexts, such as dense building cores and cool vegetated margins. Incorporating just one-third of the low-cost sensors captured nearly the entire predicted urban thermal range, though the selected predictor variables and their signs depended heavily on the underlying sensor locations rather than the model type used.

Why it matters — Standard intra-urban climate maps built on official weather stations routinely obscure localized urban heat risks because standard cross-validation fails to flag unrepresentative station placement. Diagnosing spatial sampling gaps offers a practical pathway to ensure fine-scale temperature models correctly capture extreme thermal environments across cities.

Caveat: The findings are derived from a single-city case study in Zurich, Switzerland, and rely primarily on a small baseline network of four reference stations.

arXiv · pdf

Still cited

Carlos Moreno, Zaheer Allam (2021), Introducing the “15-Minute City”: Sustainability, Resilience and Place Identity in Future Post-Pandemic Cities 1 of today's items cite it · 62 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.