Urban Currents

Parameter Efficient Hybrid Transformer (PEHT) for Network Traffic Prediction via Dynamic Urban Congestion Integration

The Parameter-Efficient Hybrid Transformer (PEHT) is a network traffic prediction framework that integrates urban mobility and congestion data into a Transformer-based architecture. It isolates primary communication features from secondary mobility features, using Low-Rank Adaptation (LoRA) in the encoder to minimize trainable parameters, and fuses multimodal congestion data in the decoder. The model was evaluated using the Telecom Italia Milan dataset alongside synthetic congestion scenarios, outperforming baseline models in RMSE, MAE, and R-squared metrics.

Why it matters — It demonstrates that cellular network traffic forecasting can be made highly parameter-efficient without sacrificing accuracy by decoupling core communication data from dynamic urban mobility context.

Caveat: The framework's performance under real-world, non-synthetic congestion dynamics remains untested beyond the simulated scenarios and the single Milan dataset.

arXiv · pdf

Who hires whom? A case study of prestige stratification in U.S. transportation faculty hiring

This study analyzes the relationship between doctoral training institutions and first tenure-track faculty appointments for U.S. transportation civil engineering faculty. Using a reproducible cross-sectional dataset built from public records, the researchers categorized institutional prestige into five tiers based on U.S. News civil engineering rankings and modeled placement outcomes using ordered logit regression. The analysis reveals a strong, stable prestige gradient where many hires occur within the same or adjacent tiers, though upward mobility from lower-ranked tiers and placements outside the ranked set also occur.

Why it matters — It establishes a baseline empirical benchmark for academic hiring pathways specifically within transportation engineering, showing that institutional prestige remains a persistent factor in faculty placement across different cohorts.

Caveat: The study is descriptive and correlational rather than causal, and it relies on a five-tier prestige proxy derived from a single ranking system.

Case Studies on Transport Policy · doi

Spatially optimised sensor networks for efficient urban temperature monitoring and prediction

This study developed an integrated workflow combining a 250 m resolution Weather Research and Forecasting simulation, a terrain- and land-cover-informed sensor placement algorithm, and a hybrid Random Forest-Gaussian Process model to map urban temperatures. Testing within an Observing System Simulation Experiment environment demonstrated that an optimized network of approximately 200 strategically placed, non-uniform sensors achieves the same mapping accuracy as a uniform network of over 300 stations.

Why it matters — It proves that spatial intelligence in sensor placement can substitute for sheer measurement density, allowing cities to capture fine-scale thermal gradients and mitigate systematic errors in complex terrains or stable nocturnal conditions at a 33% lower deployment cost.

Caveat: The temperature mapping still relies on additional fine-scale meteorological inputs to fully represent sub-grid atmospheric processes.

Discover Cities · pdf · doi

A systematic review of soundscape and thermal comfort interactions in hot-arid environments

This systematic review synthesized 22 peer-reviewed studies published between 2005 and 2025 to analyze how soundscape design and outdoor thermal comfort interact in hot-arid and thermally comparable climates. The synthesis mapped five interconnected themes, including integrated thermal-acoustic design and the role of green-blue infrastructure, and introduced the Integrated Thermo-Acoustic Planning (ITAP) Framework alongside a persona-based implementation toolkit.

Why it matters — It establishes that positive soundscapes, such as natural sounds, can psychologically mitigate perceived heat stress and encourage outdoor activity under moderate thermal stress, though this restorative effect diminishes during extreme heat.

Caveat: The findings rely on psychological and cognitive appraisal rather than direct physiological sensory changes, and the restorative benefits of acoustic interventions are largely ineffective during periods of extreme heat.

Discover Cities · pdf · doi

The information infrastructure of urbanisation: Mobilising ‘New generation’ allotment letters in Nairobi's metropolitan peripheries

Through in-depth interviews with county officials and field observations of land validation exercises in Nairobi's rapidly urbanising peripheries, this study examines how 'new generation' allotment letters function within Kenya's digital Land Information Management Systems (LIMS). It details how these documentary artefacts attempt to standardize land records into rigid legal classifications, erasing informal claims and reinforcing historical gender and class inequalities.

Why it matters — It demonstrates that digital land registration systems are not merely technical administrative upgrades but active tools of urban governance that shape land access and power dynamics, forcing state officials to ultimately rely on informal boundary negotiations and alternative dispute resolutions when rigid digital systems fail.

Caveat: The findings are based on qualitative interviews and field observations in a single metropolitan region, which may limit generalisability to countries with different land tenure histories.

Habitat International · doi

Timing matters: shifts in traffic intensity impact the risk of wildlife-vehicle collisions

This study analyzed wildlife-vehicle collision (WVC) data from Germany alongside hourly traffic estimates to evaluate how daylight-saving time (DST) shifts traffic intensity and alters collision risks. The analysis revealed that shifting traffic into dawn during spring led to higher-than-expected collision rates, with the most pronounced variations in WVC responses occurring during dawn hours.

Why it matters — It demonstrates that the impact of daylight-saving time on wildlife collisions is not uniform and depends heavily on regional conditions and seasonal animal behavior, showing that traffic intensity alone cannot predict collision risks.

Caveat: The findings are based on regional data from Germany and may not directly generalize to other geographic areas with different species ecology or traffic patterns.

Transportation Research Part D Transport and Environment · doi

How truck drivers and transport companies co-shape career sustainability: a comparative case study in the Netherlands

This comparative case study analyzes how truck drivers and management negotiate career longevity and progression within the Dutch transport sector. The researchers conducted 31 interviews with truck drivers, direct supervisors, HR managers, and directors across seven different transport companies to examine how occupational constraints and organizational structures shape driver agency.

Why it matters — It reveals an agency paradox where drivers feel a strong sense of day-to-day job autonomy, yet this perceived control is identity-driven and fails to translate into long-term career development because employers expect self-reliance without providing the necessary structural support or resources.

Caveat: The findings are based on a qualitative sample of seven transport companies within a single national context, which may limit generalizability to logistics sectors with different regulatory frameworks or labor market conditions.

Transportation Research Interdisciplinary Perspectives · doi

Assessing patterns and gaps in recent urban nature and biodiversity planning across 25 European cities

This study analyzed 25 urban nature planning documents developed by European cities since 2020 to evaluate how they align with the EU Biodiversity Strategy for 2030. The comparative analysis identified climate change as the primary framed challenge and green infrastructure as the dominant structuring concept, revealing four distinct plan types: comprehensive, conceptual, programmatic, and complementary.

Why it matters — It establishes a typology for urban nature plans where no standardized European model currently exists, providing a baseline to monitor how cities translate high-level biodiversity strategies into local planning instruments.

Caveat: The analysis is based on a relatively small sample of 25 self-selected or available planning documents, which may not represent the full diversity of urban nature planning across all European municipalities.

Urban forestry & urban greening · doi

Balancing biodiversity conservation and recreational use in nature-oriented parks in Saitama Prefecture, Japan

This study analyzes how park managers navigate the trade-offs between ecological preservation and public recreation across five nature-oriented parks in Saitama Prefecture, Japan. Using text mining, co-occurrence network analysis, and thematic content analysis of semi-structured interviews, the researchers developed a 30-level Conservation and Utilisation Management Framework that categorizes park management into Environmental, Balanced, or User Focus orientations.

Why it matters — It provides a diagnostic tool that links a park's strategic management orientation to its external land-use context, internal naturalness, and policy mandates. This allows park administrators to systematically evaluate and adjust their governance strategies, particularly through targeted user communication and collaborative programming, to better reconcile ecological goals with public use.

Caveat: The framework and management orientations were developed using a small sample of five specific parks within a single Japanese prefecture, which may limit its immediate applicability to different national or institutional park systems.

Urban forestry & urban greening · doi

Multidimensional drivers of urban infectious diseases: a comparative longitudinal study informing planetary health governance

This study analyzed the compound drivers of infectious diseases across Chongqing, Shanghai, and Hong Kong using multi-dimensional epidemiological, climatic, air quality, and socioeconomic data. The researchers applied Spearman's correlation, mutual information networks, and principal component analysis to evaluate transmission dynamics, finding that the effectiveness of non-pharmaceutical interventions against Omicron varied inversely with population density. Specific findings include a correlation between Shanghai's hand, foot, and mouth disease cases and passenger volume (rho = 0.64), and a link between a composite crowd-gathering index and both scarlatina (rho = 0.37) and dengue (rho = 0.35).

Why it matters — It demonstrates that urban infection risks are highly context-dependent and shaped by non-monotonic synergies, revealing that air pollutants like NO2 and SO2 act as hidden city-specific hubs that traditional correlation analyses fail to capture.

Caveat: The comparative analysis is limited to three major Chinese cities, meaning the specific environmental and socioeconomic disease hubs identified may not generalize to different national or regional contexts.

npj Urban Sustainability · doi

Mapping urban CO2 emission spatiotemporal dynamics in Europe via a nighttime light composite index

The study introduces the CO2 Emission Spatial Index (CESI), which combines MODIS and VIIRS-DNB satellite data to map urban carbon emissions across Europe from 2012 to 2021. Using a zonal classification approach, the model achieved spatial estimation accuracies with R² values exceeding 0.96. The research also introduces the PGL index, a normalized indicator combining population, GDP, and land use, to analyze imbalances in emission coordination across different European countries.

Why it matters — It provides a highly accurate, long-term spatiotemporal mapping method that outperforms traditional nighttime light data alone, allowing policymakers to pinpoint specific urban emission sources and target mitigation strategies more effectively.

npj Urban Sustainability · doi

Preserving Cultural Traditions in Landscape Design: Authenticity and Development Strategies

This study analyzed the perceived authenticity of Chinese cultural landscapes at Slender West Lake Gardens and the Lijiang River Scenic Zone by combining historical documents, visual observations, and visitor surveys. Using dispersion and correlation analyses, the research compared how different visitor groups perceive authenticity, satisfaction, and experience quality. The statistical analysis revealed that tourists and landscape designers reported significantly higher satisfaction and experience quality ratings than historians, while tourism managers scored in between.

Why it matters — It demonstrates that authenticity is not perceived uniformly, showing a clear divide between professional historians and non-professional visitors. This distinction allows planners and tourism managers to move away from one-size-fits-all preservation strategies and instead tailor landscape designs and historical interpretations to the differing expectations of diverse visitor groups.

Caveat: The study relies on self-reported survey data from two specific scenic sites in China, which may limit how well the findings generalize to other types of cultural heritage landscapes globally.

Journal of Urban Planning and Development · doi

The impact of air transport on economic, environmental and social development of cities and regions: a literature review and future research directions

This paper reviews two decades of academic literature examining how air transport directly, indirectly, and through spillover effects impacts the economic, environmental, and social development of cities and regions. The analysis maps how these different types of impacts are distributed across the three pillars of sustainability and identifies which moderating factors influence these relationships.

Why it matters — It synthesizes a fragmented body of research to reveal that scientific attention is unevenly distributed, showing where empirical evidence is robust and where critical gaps remain regarding the combined and spillover effects of aviation on regional development.

Transport Reviews · pdf · doi

Crossing Great Divides: City and Country in Environmental and Political Disorder

The study examines the historical and contemporary separation between urban and rural areas in the United States, analyzing this divide through the lenses of environmental and political disorder.

Why it matters — It provides a historical framework for understanding the deep-seated polarization between city and country, offering perspective on how to bridge these geographic and political divides.

Caveat: The work is a qualitative historical and personal analysis rather than an empirical study based on quantitative datasets.

Journal of the American Planning Association · doi

Introduction to Housing, 3rd edition

This third edition compiles essays that provide a comprehensive overview of diverse housing and housing-related topics, examining the multifaceted nature of housing systems.

Why it matters — It serves as an updated foundational reference text, consolidating multi-dimensional housing concepts and issues into a single structured volume for students and practitioners.

Journal of the American Planning Association · doi

Overbuilt: The High Costs and Low Rewards of US Highway Construction

This book analyzes how the construction and expansion of the United States highway system has transformed urban areas, focusing on the financial costs and economic outcomes of these infrastructure investments.

Why it matters — It provides a detailed, technical evaluation of the historical trade-offs of highway production, challenging the assumption that continued highway expansion yields positive economic returns for American cities.

Journal of the American Planning Association · doi

MINT-V2X: A Mobility-Integrated Network Trajectory Dataset for Predictive Resource Management

The researchers generated MINT-V2X, a dataset coupling SUMO traffic dynamics with OMNeT++/Simu5G network simulations to produce 9.87 million synchronized data points. The dataset tracks 1,386 vehicles and 15 roadside units over 3 hours of simulated urban traffic, validated against 14 standardized tests based on 3GPP Release 14, ETSI, and Shannon capacity theory. A predictive case study demonstrated that incorporating vehicle trajectory data improves roadside unit load forecasting compared to baselines using only historical network data.

Why it matters — It bridges a critical infrastructure gap by providing a single, integrated dataset that combines high-fidelity vehicle mobility trajectories with realistic wireless network parameters, a combination previously unavailable in public datasets.

Caveat: The dataset is generated entirely through simulation rather than empirical real-world measurements.

arXiv · pdf

Locker-based Truck-Drone Routing with Integrated Considerations of Pickups, Deliveries, and No-Fly Zones

The paper introduces a locker-based truck-drone routing problem that integrates parcel deliveries, return pickups, battery and load constraints, and detours around no-fly zones. To solve this, a two-stage deep reinforcement learning-based neural heuristic was developed, combining an attention-based encoder and a Bidirectional Gated Recurrent Unit decoder for truck routing with a policy-transfer strategy and hybrid dispatch assignment for coordinated drone routing. The method was evaluated on instances of varying scales, outperforming metaheuristic and neural heuristic baselines in operational cost and computation time.

Why it matters — It provides a scalable routing framework for last-mile logistics that accounts for the dual role of smart lockers as storage and automated drone docking stations, while simultaneously handling real-world constraints like restricted airspace and two-way parcel flows.

Caveat: The performance and computational advantages of the proposed model were demonstrated on synthetic experimental instances rather than a deployed, real-world urban logistics network.

arXiv · pdf