2026-10-09

7 arXiv categories· 96 journals· 3984 candidates — 7 worth your time· 73 without an open abstract

Headline

Household carbon inequality, crime policy microsimulation, and personalized route reproduction

Today, together

tag shift
no tag ran above its 30-day average
shares references
Nested spatial processes in urban food delivery: How scale and boundary choice shape built-environment relationships in New Delhi, India shares 3 references with Spatially differentiated use of healthy online food services across main urban area and peripheral areas: Evidence from Nanjing, China (2026-08-01)
3 of them
  • Impacts of food accessibility and built environment on on-demand food delivery usage
  • Eat-in or eat-out? A joint model to analyze the new landscape of dinner meal preferences
  • How do spatial factors affect On-Demand Food Delivery usage among urban residents? Evidence from Singapore
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 75 of this day's 80 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
Hong Kong University of Science and Technology; Indian Institute of Technology BHU; Institute of Science Tokyo; and 6 more none of them on a paper we published in the 119 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: Applied Geography

Kewen Wang, Chuanglin Fang, Haitao Ma
Applied Geography

Chinese Academy of Sciences

Energy, Environment, Economic Growth · Environmental Impact and Sustainability · Energy, Environment, and Transportation Policies · China · Chinese Academy of Sciences · Institute of Geographic Sciences and Natural Resources Research

Urban-rural household carbon emissions and their inequality in China: From the perspective of consumption structure

This study analyzed Chinese household carbon emissions and their inequality in 2020 across urban and rural areas, categorizing households by survival-oriented or development-and-enjoyment-oriented consumption structures. The analysis revealed that urban households averaged higher emissions (2.91 tons) than rural households (2.27 tons), with development-and-enjoyment-oriented households driving the largest urban-rural gaps. Conversely, rural and survival-oriented households exhibited greater within-group emission inequality, and a regional mismatch emerged where southern provinces showed low emissions but high inequality, while northern and eastern provinces showed high emissions but low inequality.

Why it matters — It establishes that carbon reduction policies cannot be one-size-fits-all, demonstrating that emission volumes and inequality run in opposite directions depending on whether a household's consumption is driven by basic survival or discretionary lifestyle choices.

Caveat: The study relies on household consumption categories as a proxy for carbon emissions, which may not capture direct, real-time energy use variations.

Applied Geography · doi

published: Applied Geography

Ruijia Zhu, Zhicong Zhao, Pei Wang, et al.
Applied Geography

Tsinghua University

Recreation, Leisure, Wilderness Management · Wildlife-Road Interactions and Conservation · Urban Transport and Accessibility · Tsinghua University · Montana State University

Fine-scale analysis of GPS trajectories reveals spatial concentration and temporal intermittency of hiking activity in mountainous protected areas

This study analyzed over 18 million GPS trajectory points aggregated into a 30-meter spatial grid to map hiking dynamics in the Beijing Baihua Mountain National Nature Reserve across annual, daily, and hourly scales. The analysis revealed that hiking is highly concentrated in just 11.06% of the reserve, with topography and vegetation driving the spatial patterns. Temporally, hiking is highly intermittent, with no activity recorded in 57.62% of hourly intervals, while peak hourly intensity in a single pixel exceeded the reserve's annual mean intensity by over seven orders of magnitude.

Why it matters — It demonstrates that recreational pressure on protected mountain ecosystems is highly concentrated in both space and time rather than being evenly distributed. This high-resolution quantification allows conservationists to pinpoint specific times and micro-locations where human-wildlife conflicts are most likely to occur.

Caveat: The findings are based on a single nature reserve in Beijing, which may limit generalizability to protected areas with different trail infrastructures or visitor demographics.

Applied Geography · doi

published: Applied Geography

Sun Zhang, Aliya Adeli, Haimeng Shi, et al.
Applied Geography

Northwest A&F University

Environmental Changes in China · Land Use and Ecosystem Services · Remote Sensing in Agriculture · China · Northwest A&F University · S.Seifullin Kazakh Agro Technical University

Nonlinear and region-specific effects of grassland management practices on net ecosystem productivity in China’s grasslands

This study analyzed the spatiotemporal patterns and drivers of grassland net ecosystem productivity (NEP) across China using long-term remote sensing, environmental, and management datasets processed through an XGBoost-SHAP model. The model revealed that NEP increased across 73.44% of China's grasslands, particularly in the northeast and the eastern Qinghai-Tibet Plateau, with grazing intensity emerging as the most critical management predictor. Grazing intensity exhibited a highly nonlinear relationship with NEP and interacted strongly with local environmental factors like elevation, temperature, vapor pressure deficit, and slope.

Why it matters — It quantifies the nonlinear and highly localized impacts of grazing and management practices on carbon sequestration at a national scale, replacing broad assumptions with region-specific evidence of how environmental conditions alter management outcomes.

Applied Geography · doi

published: Applied Geography

S. N. Mishra, Ayush Raj, Tomoya Kawasaki, et al.
Applied Geography

Indian Institute of Technology BHU

Urban and Freight Transport Logistics · Urban Transport and Accessibility · Urban Design and Spatial Analysis · dimensionality reduction · Indian Institute of Technology BHU

Nested spatial processes in urban food delivery: How scale and boundary choice shape built-environment relationships in New Delhi, India

This study analyzed the impact of the Modifiable Areal Unit Problem (MAUP) on online food delivery demand (ODFD) in New Delhi, testing hexagonal grids from 250 m to 1000 m alongside administrative ward and Traffic Analysis Zone (TAZ) boundaries. Using Negative Binomial, Multiscale Geographically Weighted Regression (MGWR), and hierarchical multilevel models, the researchers evaluated how built environment and nightlight variables relate to delivery demand. The analysis showed that while a 250 m grid yielded strong local relationships, a 500 m grid offered more stable spatial relationships, and aggregating data to TAZ levels eliminated the significance of most built environment variables.

Why it matters — It establishes a reproducible Decision Score that allows planners to systematically choose the most stable spatial scale for digital freight modeling, preventing incorrect scale choices that can reverse the sign of critical infrastructure coefficients.

Caveat: The empirical findings and scale thresholds are based entirely on a single case study of New Delhi's food delivery network.

Applied Geography · doi

preprint

Mengkun Gao, Zengqing Wu, Renhe Jiang, et al.
arXiv cs.LG

Human Mobility and Location-Based Analysis · Data Management and Algorithms · Urban Design and Spatial Analysis · The University of Osaka · The University of Tokyo · Hong Kong University of Science and Technology

MotiveMob: Motivation as Semantic Action for Closed-Loop Human Mobility Generation

The researchers developed MotiveMob, an autoregressive human mobility generation framework that models movement as a sequential 'why-where-when' decision process. At each step, the model predicts a specific behavioral motivation based on the user's current state, long-term behavioral report, and trajectory history, using this intent to jointly generate the next location and arrival time. When evaluated against pretraining and prompting baselines under user-level and temporal distribution shifts—including seasonal variations and COVID-19 pandemic disruptions—the model demonstrated superior distributional fidelity and generalization.

Why it matters — By explicitly modeling step-by-step behavioral motivation rather than relying on coarse daily plans or direct location prediction, this framework enables realistic trajectory synthesis even when simulating unseen users or highly disrupted historical periods.

arXiv · pdf

preprint

Gyeongjun Kim, Yeseul Kang, Keemin Sohn
arXiv cs.LG

A Decision-Focused Neural Optimization Framework for Personalized Route Reproduction from Vehicle Trajectories

This study introduces a neural optimization framework that reproduces individual driver routes by formulating the task as a shortest-path problem over learned, driver-specific latent link costs. The pipeline combines a perception model embedding individual, trip, and traffic covariates with a constrained optimization layer, trained end-to-end using decision-focused learning and implicit maximum likelihood estimation. Tested against baseline route choice models, the framework achieves superior path reproduction accuracy and yields latent costs that serve as interpretable proxies for perceived travel costs.

Why it matters — It enables the reproduction of personalized routes from vehicle trajectories without requiring the computationally expensive enumeration of alternative route sets, while maintaining physical interpretability of the underlying decision-making process.

arXiv · pdf

preprint

Ricardo Alonzo Fernández-Salguero
arXiv econ.EM

agent-based model

A Path-Dependent Agent-Based Microsimulation of Crime and Violence Reduction Policy Portfolios in Bolivia: Survey Calibration, Adaptive Emulator Ensembles, Global Sensitivity, Tempered MCMC, and Multi-Objective Policy Analysis

This study develops a survey-calibrated, path-dependent agent-based microsimulation to evaluate crime and violence reduction policies in Bolivia. The model constructs a synthetic population using official expansion weights and cross-survey donor matching from the 2025 Household Survey and the fourth-quarter 2025 Continuous Employment Survey. It simulates heterogeneous agents, place-based risk, and criminal adaptation across multiple policy portfolios, propagating uncertainty through adaptive Gaussian-process and tree-ensemble emulators, global sensitivity analysis, and tempered ensemble MCMC.

Why it matters — It provides a structural framework to evaluate multi-objective policy trade-offs, displacement, and distributional effects of complex crime interventions under deep uncertainty, rather than relying on simple causal forecasts.

Caveat: The simulation results are designed to be interpreted as structural policy scenarios rather than predictive causal forecasts.

arXiv · pdf

Still cited

A. Stewart Fotheringham, Dws Wong (1991), The Modifiable Areal Unit Problem in Multivariate Statistical Analysis 1 of today's items cite it · 18 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.