Effects of urban sprawl on regional disparity and quality of life: A case of South Korea

J Mun, JS Lee, S Kim - Cities, 2024 - Elsevier
South Korea has experienced rapid industrialization and urbanization over the past half-
century. While unbalanced population concentrations were already problematic, urban …

Efficiency in the evolution of metro networks

A Pei, F ** over a
half-century. This work explores the dynamical evolution of the structural efficiency of metro …

A Sensor-Based Simulation Method for Spatiotemporal Event Detection

Y Jiang, AA Popov, Z Li, ME Hodgson… - … International Journal of …, 2024 - mdpi.com
Human movements in urban areas are essential to understand human–environment
interactions. However, activities and associated movements are full of uncertainties due to …

An entropy-based measurement for understanding origin-destination trip distributions: a case study of New York City taxis

Y Jiang, Y Yuan, SY Han - Big Earth Data, 2024 - Taylor & Francis
ABSTRACT A comprehensive understanding of human mobility patterns in urban areas is
essential for urban development and transportation planning. In this study, we create …

Urban Spatial Image Acquisition and Examination Based on Geographic Big Data

X Zhou, H Li, J Xu, Q Sun - Land, 2024 - mdpi.com
This study proposes a two-dimensional analytical framework based on urban spatial form
and spatial service perspectives, utilizing data on buildings and points of interest (POIs). It …

Comparative Analysis of Human Mobility Patterns: Utilizing Taxi and Mobile (SafeGraph) Data to Investigate Neighborhood-Scale Mobility in New York City

Y Jiang, Z Li, JS Kim, H Ning, SY Han - arxiv preprint arxiv:2410.16462, 2024 - arxiv.org
Numerous researchers have utilized GPS-enabled vehicle data and SafeGraph mobility
data to analyze human movements. However, the comparison of their ability to capture …

Investigating mandatory and non-mandatory trip patterns based on socioeconomic characteristics and traffic analysis zone features using deep neural networks

H Mirzahossein, A Bakhtiari, N Kalantari… - Computational Urban …, 2022 - Springer
Forecasting travel demand is a classic problem in transportation planning. The models
made for this purpose take the socioeconomic characteristics of a subset of a population to …

A Sensor-Based Simulation Method for Spatiotemporal Event Detection

Y Jiang, AA Popov, Z Li, ME Hodgson… - arxiv preprint arxiv …, 2022 - arxiv.org
Human movements in urban areas are essential to understand human-environment
interactions. However, activities and associated movements are full of uncertainties due to …

[HTML][HTML] Planning urban internal transport based on cell phone data

H Xu, J Zhao - Applied Sciences, 2022 - mdpi.com
Based on cell phone data, mining residents' travel characteristics and regional traffic
connection characteristics has become an important technology for urban road traffic …

Dynamic Spatio-temporal Access Queries using Semi-Supervised Regression

C Conlan, T Cunningham… - 2023 IEEE 39th …, 2023 - ieeexplore.ieee.org
Understanding the cost of accessing services in a transit network, and how this varies
spatially and temporally is vital for transport agencies to make effective decisions. However …