Quantifying spatial interaction centrality in urban population mobility: A mobility feature-and network topology-based locational measure

J Cai, R Li, Z Liu, X Liu, H Wu - Sustainable Cities and Society, 2024 - Elsevier
Spatial interaction centrality reflects the relative importance of population mobility within a
location in urban population mobility. Population mobility networks visually represent urban …

Understanding regional structure through spatial networks: A simulation optimization framework for exploring balanced development

Y Li, C Liao, X Li, R Guo - Habitat International, 2024 - Elsevier
The spatial structure inherently reflects a region's pattern and developmental processes.
Understanding the rationality behind this structure and identifying optimization directions are …

Spatiotemporal Flow L-function: a new method for identifying spatiotemporal clusters in geographical flow data

X Yan, T Pei, H Shu, C Song, M Wu… - International Journal of …, 2023 - Taylor & Francis
A geographical flow (hereafter flow) is defined as a movement between locations at two
different times. A group of spatiotemporal flows can be viewed as a cluster if their origins and …

[HTML][HTML] A critical role of the capital green belt in constraining urban sprawl and its fragmentation measurement

L Zhou, Y Gong, D López-Carr, C Huang - Land Use Policy, 2024 - Elsevier
Urban green belts (UGBs), an important green infrastructure of cities, have the functions of
constraining urban sprawl, which are of great significance to urban green, resilient and …

Automatic road network selection method considering functional semantic features of roads with graph convolutional networks

J Tang, M Deng, J Peng, H Liu, X Yang… - International Journal of …, 2024 - Taylor & Francis
Road network selection plays a key role in map generalization for creating multi-scale road
network maps. Existing methods usually determine road importance based on road …

Age disparities and socioeconomic factors for commuting distance in Beijing by explainable machine learning

L Chen, M Chen, C Fan - Cities, 2024 - Elsevier
The increasing commuting issues faced by residents in China's megacities have led to a
growing body of literature on commuting equality. However, longitudinal evidence on the …

Exploring crowd travel demands based on the characteristics of spatiotemporal interaction between urban functional zones

J Peng, H Liu, J Tang, C Peng, X Yang… - … International Journal of …, 2023 - mdpi.com
As a hot research topic in urban geography, spatiotemporal interaction analysis has been
used to detect the hotspot mobility patterns of crowds and urban structures based on the …

Geographical flows: a fresh perspective on quantifying urban function

T Pei, X Yan, H Shu, X Wang, X Chen, S Guo, J Jiang… - Urban Informatics, 2024 - Springer
Urban function refers to various roles and activities that take place in an urban region or a
public facility. Previous research only focused on the types of urban function and its …

Multi-Scale Road Matching Based on the Summation Product of Orientation and Distance and Shape Descriptors

Y Sun, Y Lu, Z Ding, Q Wen, J Li, Y Liu… - … International Journal of …, 2023 - mdpi.com
Most commonly used road-based homonymous entity matching algorithms are only
applicable to the same scale, and are weak in recognizing the one-to-many and many-to …

Travel flow patterns of diverse population groups and influencing built environment factors: A case study of Beijing

X Liu, T Pei, X Wang, T Liu, Z Fang, L Jiang, J Jiang… - Cities, 2024 - Elsevier
Human travel flow within a city, defined as the movement of inhabitants between different
places, is a crucial aspect of urban planning, as it involves the inhabitants' demand for the …