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A Global Commuting Origin-Destination Flow Dataset for Urban Sustainable Development
Can Rong, Jingtao Ding, Meng Li, Yong Li
https://arxiv.org/abs/2505.17111

A Global Commuting Origin-Destination Flow Dataset for Urban Sustainable Development
Commuting Origin-Destination (OD) flows capture movements of people from residences to workplaces, representing the predominant form of intra-city mobility and serving as a critical reference for understanding urban dynamics and supporting sustainable policies. However, acquiring such data requires costly, time-consuming censuses. In this study, we introduce a commuting OD flow dataset for cities around the world, spanning 6 continents, 179 countries, and 1,625 cities, providing unprecedented c…

An Analytical Framework for the Linear Best-Worst Method and its Application to Achieve Sustainable Development Goals--Oriented Agri-Food Supply Chains
Harshit M. Ratandhara, Mohit Kumar
https://arxiv.org/abs/2506.17666

An Analytical Framework for the Linear Best-Worst Method and its Application to Achieve Sustainable Development Goals--Oriented Agri-Food Supply Chains
The Best-Worst Method (BWM) has emerged as a prominent multi-criteria decision-making method for determining the weights of the decision criteria. Among various BWM models, this research focuses on the linear model of the BWM. This model calculates weights by solving an optimization problem, necessitating optimization software. In this article, we present a novel framework that solves this optimization model mathematically, yielding an analytical expression for the resultant weights, thus elimi…

On the Role of Color Temperature and Color Rendering Index of White-Light LEDs on the Theoretical Efficiency Limit of Indoor Photovoltaics
Aditi Sharma, Alexander A. Guaman, Jason A. R\"ohr
https://arxiv.org/abs/2506.20811

On the Role of Color Temperature and Color Rendering Index of White-Light LEDs on the Theoretical Efficiency Limit of Indoor Photovoltaics
As the Internet of Things (IoT) continues to grow, the demand for sustainable indoor power sources is increasing. Indoor photovoltaics (IPVs), which are currently in development, present a renewable solution but need to be designed to match specific light sources. While previous studies have emphasized the role of white-light LED color temperature (CT) in determining IPV efficiency and optimum bandgap energy, the role of color rendering index (CRI) remains less understood. In this study, we emp…

A Vision for Trustworthy, Fair, and Efficient Socio-Technical Control using Karma Economies
Ezzat Elokda, Andrea Censi, Emilio Frazzoli, Florian D\"orfler, Saverio Bolognani
https://arxiv.org/abs/2506.17115

A Vision for Trustworthy, Fair, and Efficient Socio-Technical Control using Karma Economies
Control systems will play a pivotal role in addressing societal-scale challenges as they drive the development of sustainable future smart cities. At the heart of these challenges is the trustworthy, fair, and efficient allocation of scarce public resources, including renewable energy, transportation, data, computation, etc.. Historical evidence suggests that monetary control -- the prototypical mechanism for managing resource scarcity -- is not always well-accepted in socio-technical resource …

AviationLLM: An LLM-based Knowledge System for Aviation Training
Jia'ang Wan, Feng Shen, Fujuan Li, Yanjin Sun, Yan Li, Shiwen Zhang
https://arxiv.org/abs/2506.14336

AviationLLM: An LLM-based Knowledge System for Aviation Training
Aviation training is a core link in ensuring flight safety, improving industry efficiency and promoting sustainable development. It not only involves flight simulation but also requires the learning of a great deal of professional aviation theory knowledge. In the existing training system, the knowledge is mainly imparted by the the instructors. However, the number of instructors is limited and the professional answers obtained from the Internet are not accurate enough, resulting in low trainin…

Towards a Knowledge Base of Common Sustainability Weaknesses in Green Software Development
Priyavanshi Pathania, Rohit Mehra, Vibhu Saujanya Sharma, Vikrant Kaulgud, Sanjay Podder, Adam P. Burden
https://arxiv.org/abs/2506.08812

Towards a Knowledge Base of Common Sustainability Weaknesses in Green Software Development
With the climate crisis looming, engineering sustainable software systems become crucial to optimize resource utilization, minimize environmental impact, and foster a greener, more resilient digital ecosystem. For developers, getting access to automated tools that analyze code and suggest sustainabilityrelated optimizations becomes extremely important from a learning and implementation perspective. However, there is currently a dearth of such tools due to the lack of standardized knowledge, whi…

Upcoming GÉANT infoshare 🚀
Earth Observations Support Through NRENs - Part 1
Explore the multi-national policy context which supports earth observation, the complimentary RREN research engagement approaches employed, and discover the Group on Earth Observations (GEO).
👥 Hosted by Daniela Brauner, Chris Atherton and Hendrik Ike (GÉANT), with presentations from Paola De Salvo (GEO Secretariat), Yousef Torman (ASREN), and Mark Urban (RedCLARA).
🔗 Register here:

Infoshare Series on Earth Observations Support Through NRENs - Part 1
Earth observation has a direct impact on societal ambitions to reduce the effects of climate change, monitor the achievement of the UN sustainable development goals, and for its use in disaster and emergency response.  As a wide-ranging topic area, Earth observation is reliant upon ever increasing volumes of data for achieving the latest scientific discoveries.  It is because of the societal impact, and large-scale data transit to universities and national institutions which makes this an...

pySpainMobility: a Python Package to Access and Manage Spanish Open Mobility Data
Ciro Beneduce, Tania Gull\'on Mu\~noz-Repiso, Bruno Lepri, Massimiliano Luca
https://arxiv.org/abs/2506.13385

pySpainMobility: a Python Package to Access and Manage Spanish Open Mobility Data
Mobility patterns play a critical role in a wide range of societal challenges, from epidemic modeling and emergency response to transportation planning and regional development. Yet, access to high-quality, timely, and openly available mobility data remains limited. In response, the Spanish Ministry of Transportation and Sustainable Mobility has released daily mobility datasets based on anonymized mobile phone data, covering districts, municipalities, and greater urban areas from February 2020 …

This https://arxiv.org/abs/2506.01495 has been replaced.
initial toot: https://mastoxiv.page/@arXiv_csCL_…

CVC: A Large-Scale Chinese Value Rule Corpus for Value Alignment of Large Language Models
Ensuring that Large Language Models (LLMs) align with mainstream human values and ethical norms is crucial for the safe and sustainable development of AI. Current value evaluation and alignment are constrained by Western cultural bias and incomplete domestic frameworks reliant on non-native rules; furthermore, the lack of scalable, rule-driven scenario generation methods makes evaluations costly and inadequate across diverse cultural contexts. To address these challenges, we propose a hierarchi…

Mixed platinum and zirconia powder as electrocatalyst for hydrogen evolution and oxidation reaction
Simone Minelli, Manuel Iozzia, Claudio Piazzoni, Alberto Vertova, Cristina Lenardi, Alessandro Minguzzi
https://arxiv.org/abs/2506.14819

Mixed platinum and zirconia powder as electrocatalyst for hydrogen evolution and oxidation reaction
The development of efficient and cost-effective bifunctional electrocatalysts for hydrogen-related technologies is crucial for the transition to sustainable energy. In this work, we present Pt@ZrO2 as a high-performance ceramic-based electrocatalyst for the hydrogen evolution reaction (HER) and hydrogen oxidation reaction (HOR), demonstrating superior activity and stability in alkaline conditions. Compared to Pd@ZrO2, previously investigated in our earlier work, Pt@ZrO2 exhibits significantly l…

Deep reinforcement learning-based joint real-time energy scheduling for green buildings with heterogeneous battery energy storage devices
Chi Liu, Zhezhuang Xu, Jiawei Zhou, Yazhou Yuan, Kai Ma, Meng Yuan
https://arxiv.org/abs/2506.06824

Deep reinforcement learning-based joint real-time energy scheduling for green buildings with heterogeneous battery energy storage devices
Green buildings (GBs) with renewable energy and building energy management systems (BEMS) enable efficient energy use and support sustainable development. Electric vehicles (EVs), as flexible storage resources, enhance system flexibility when integrated with stationary energy storage systems (ESS) for real-time scheduling. However, differing degradation and operational characteristics of ESS and EVs complicate scheduling strategies. This paper proposes a model-free deep reinforcement learning (…

Collaborative Charging Scheduling via Balanced Bounding Box Methods
Fangting Zhou, Bal\'azs Kulcs\'ar, Jiaming Wu
https://arxiv.org/abs/2506.14461 …

Collaborative Charging Scheduling via Balanced Bounding Box Methods
Electric mobility faces several challenges, most notably the high cost of infrastructure development and the underutilization of charging stations. The concept of shared charging offers a promising solution. The paper explores sustainable urban logistics through horizontal collaboration between two fleet operators and addresses a scheduling problem for the shared use of charging stations. To tackle this, the study formulates a collaborative scheduling problem as a bi-objective nonlinear integer…

Rethinking Growth: An Extension of the Solow-Swan Model
Timothy F. Power, Roman G. Smirnov
https://arxiv.org/abs/2506.10864 https://a…

Rethinking Growth: An Extension of the Solow-Swan Model
The aggregate Cobb-Douglas production function stands as a central element in the renowned Solow-Swan model in economics, providing a crucial theoretical framework for comprehending the determinants of economic growth. This model not only guides policymakers and economists but also influences their decisions, fostering sustainable and inclusive development. In this study, we utilize a one-input version of a new generalization of the Cobb-Douglas production function proposed recently, thereby ex…

We Are AI: Taking Control of Technology
Julia Stoyanovich, Armanda Lewis, Eric Corbett, Lucius E. J. Bynum, Lucas Rosenblatt, Falaah Arif Khan
https://arxiv.org/abs/2506.08117

We Are AI: Taking Control of Technology
Responsible AI (RAI) is the science and practice of ensuring the design, development, use, and oversight of AI are socially sustainable--benefiting diverse stakeholders while controlling the risks. Achieving this goal requires active engagement and participation from the broader public. This paper introduces "We are AI: Taking Control of Technology," a public education course that brings the topics of AI and RAI to the general audience in a peer-learning setting. We outline the goals behind t…

CityLens: Benchmarking Large Language-Vision Models for Urban Socioeconomic Sensing
Tianhui Liu, Jie Feng, Hetian Pang, Xin Zhang, Tianjian Ouyang, Zhiyuan Zhang, Yong Li
https://arxiv.org/abs/2506.00530

CityLens: Benchmarking Large Language-Vision Models for Urban Socioeconomic Sensing
Understanding urban socioeconomic conditions through visual data is a challenging yet essential task for sustainable urban development and policy planning. In this work, we introduce $\textbf{CityLens}$, a comprehensive benchmark designed to evaluate the capabilities of large language-vision models (LLVMs) in predicting socioeconomic indicators from satellite and street view imagery. We construct a multi-modal dataset covering a total of 17 globally distributed cities, spanning 6 key domains: e…

"Africa has the highest rate of forest loss in the world—what the G20 can do about it"
#Africa #Trees #Forests #Environment

Africa has the highest rate of forest loss in the world—what the G20 can do about it
Africa needs its forests for sustainable development, poverty reduction, food security, and to make the continent more resilient to climate change. They take up 23% of the continent. At 674 million hectares in extent, these forests occupy an area the same size as the Amazon rainforest.