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Understanding how urban systems and traffic dynamics co-evolve is crucial for advancing sustainable and resilient cities. However, their bidirectional causal relationships remain underexplored due to challenges of simultaneously inferring spatial heterogeneity, temporal variation, and feedback mechanisms. Here we present a spatio-temporal causality framework that bridges correlation and causation
According to an urban planning directive issued by the Chinese Central Government in early 2016, the Community Opening Policy will be put on the agenda to ameliorate transportation networks, which has aroused much attention regarding the coming changes in traffic, especially in road network structures. Nevertheless, few studies were concerned with the direct and indirect impacts of opening gated c
Along with the gradually accelerated urbanization process, simulating and predicting the future pattern of the city is of great importance to the prediction and prevention of some environmental, economic and urban issues. Previous studies have generally integrated traditional machine learning with cellular automaton (CA) models to simulate urban development. Nevertheless, difficulties still exist
The accurate mapping of urban housing prices at a fine scale is essential to policymaking and urban studies, such as adjusting economic factors and determining reasonable levels of residential subsidies. Previous studies focus mainly on housing price analysis at a macro scale, without fine-scale study due to a lack of available data and effective models. By integrating a convolutional neural netwo
The rapid development of urban retail companies brings new opportunities to the Chinese economy. Due to the spatiotemporal heterogeneity of different cities, selecting a business location in a new area has become a challenge. The application of multi-source geospatial data makes it possible to describe human activities and urban functional zones at fine scale. We propose a knowledge transfer-based
Cellular automata (CA) have been widely used to simulate complex urban development processes. Previous studies indicated that vector-based cellular automata (VCA) could be applied to simulate urban land-use changes at a realistic land parcel level. Because of the complexity of VCA, these studies were conducted at small scales or did not adequately consider the highly fragmented processes of urban
The Hu Huanyong Line (Hu Line) shows an uneven geographical pattern of urbanization between Southeast and Northwest China. Based on three questions proposed by the Chinese Premier, the balance of urbanization on both sides of the Hu Line and the possibility of breaking through the pattern in the future has provoked substantial interest in academic circles. Based on quantitative analyses and urban
The formulation of mixed urban land uses is not only intended to find the ideal scenario of land use but also regarded as a way toward sustainable urban development. We propose a geo-semantic mining approach Traj2Vec to quantify the trajectories of residents as high-dimensional semantic vectors. Then, a random forest (RF) method is used to model the relationship between the semantic vectors and mi
China is going through a rapid urbanization process, which will have significant influences on the land use pattern in the nationwide scale. In this context, it is very important for getting more information about the overall trend of land use change in the coming decades. To help develop better land management policies and improve the land resource allocation, this paper provides a system dynamic
The development of geospatial big data makes it possible to study traffic-congestion issues. In particular, floating car data (FCD) is very suitable for it because FCD can help predict traffic-congestion bottlenecks and provide corresponding solutions to address traffic problems. Previous studies have discussed the impacts of rainfall on road speeds, but few studies have focused on the impacts of
In China, the illegal adoption of missing persons and especially of missing children is a major public safety issue that affects social and family stability. Recent work has established a trafficking information network developed from a volunteer-managed database of missing persons that identifies and locates node cities and critical paths of illegal adoption. In order to evaluate locations where
The spatial distribution pattern of jobs and housing plays a vital role in urban planning and traffic construction. However, obtaining the jobs-housing distribution at a fine scale (e.g., the perspective of individual jobs-housing attribute) presents difficulties due to a lack of social media data and useful models. With user data acquired from a location-based service provider in China, this stud
The application of Agent-Based Modeling and Simulation (ABMS) has few established guidelines and often suffers from insufficient model documentation. We assess the prevalence of best practices associated with different types of model documentation in light of the European Union's AI Act (AI Act). Our analysis reveals that best practices are often implemented together but ultimately reinforce the p
Background/Objectives: Antenatal Care (ANC), delivery assisted by Skilled Birth Attendants (SBA), and Postnatal Care (PNC), collectively referred to as Continuum of Care (CoC), are platforms for delivering maternal and child nutrition interventions essential for optimal child growth. The study objective is to estimate the association between maternal utilization of CoC and childhood undernutrition
Topological qubits based on non-Abelian Majorana bound states (MBSs) are protected by parity which is challenged by quasiparticle poisoning (QPP). In this work, we show how QPP affects transport through a pair of coupled MBSs weakly connected to two current leads, using an open system approach and full counting statistics. We find that the correct low-energy physics requires one to include next to
Histatin 5 (Hst5) is a histidine-rich intrinsically disordered protein (IDP) whose biological function arises from a highly heterogeneous conformational ensemble and environmental sensitivity. Unlike structured antimicrobial peptides that rely on persistent secondary motifs, Hst5 remains disordered across a wide range of conditions, enabling continuous adaptation to changes in pH, ionic strength,
Recent announcements by the US Government linking paracetamol use during pregnancy to autism in offspring highlight the risks of misinterpreting observational research to inform policy; this is a clear example of the principle that association does not equal causation. Unmeasured familial confounding is a common bias in epidemiological studies, whereby shared genetic or environmental factors withi
As climate change-related hazards intensify, enhanced adaptation efforts that extend beyond technological solutions and include active roles for citizens are required. We introduce the novel concept of climate adaptation citizenship, defined through the three dimensions of awareness, action, and political engagement, to explore how citizens in small, remote Nordic communities engage with different
