The global urbanization has produced a number of metropolises with complex urban spatial
structures. Compared with monocentric cities, these metropolises typically have multiple …

Predictive hotspot mapping plays a critical role in hotspot policing. Existing methods such as
the popular kernel density estimation (KDE) do not consider the temporal dimension of …

More extensive attention has been paid to the heterogeneity of maritime transport network in
topological rather than in spatial aspects. However, the importance of links and the roles of …

Place-based accessibility measures, such as the gravity-based model, are widely applied to
study the spatial accessibility of workers to job opportunities in cities. However, gravity …

Due to rapid informatization and increasing urban sprawl, currently, metropolitan residents
are facing challenges regarding spatial imbalance between their home, workplace, and …

As a megacity, Beijing has experienced traffic congestion, unaffordable housing issues and
jobs-housing imbalance. Recent decades have seen policies and projects aiming at …

This study employs an innovative multi-constraint Monte Carlo simulation method to
estimate suppressed county-level cancer counts for population subgroups and extend the …

To date, less care has been taken to quantitatively visualize the intellectual evolution of
transport geography research than to qualitatively review this field. Based on big-data …

As a key path to sustainable urban development, the jobs-housing balance is crucial in
addressing the issues of large commuting distances, congestion, and environmental …

The issue of jobs-housing balance concerns the sustainable development of cities and the
well-being of residents. Conventional measurement approaches, however, often fall short …