The Association Between SOC and Land Prices Considering Spatial Heterogeneity Based on Finite Mixture Modeling

WS Kang, E Kim, W Heo - arXiv preprint arXiv:2211.08566, 2022 - arxiv.org
An understanding of how Social Overhead Capital (SOC) is associated with the land value
of the local community is important for effective urban planning. However, even within a …

[HTML][HTML] Ray of hope for sub-Saharan Africa's paratransit: Solar charging of urban electric minibus taxis in South Africa

CJ Abraham, AJ Rix, I Ndibatya, MJ Booysen - Energy for Sustainable …, 2021 - Elsevier
Minibus taxi public transport is a seemingly chaotic phenomenon in the developing cities of
the Global South with unique mobility and operational characteristics. Eventually this …

Electric load profile of 5G base station in distribution systems based on data flow analysis

Y Zou, Q Wang, Y Chi, J Wang, C Lei… - IEEE transactions on …, 2022 - ieeexplore.ieee.org
This paper proposes an electric load demand model of the 5th generation (5G) base station
(BS) in a distribution system based on data flow analysis. First, the electric load model of a …

Exploring air pollution characteristics from spatio-temporal perspective: a case study of the top 10 urban agglomerations in China

J Han, Y Yang, X Yang, D Wang, X Wang, P Sun - Environmental Research, 2023 - Elsevier
Air pollution has become a global public health risk factor as rapid urbanization advances.
To observe the air pollution situation, air monitoring stations have been established in many …

A constraint-based approach for identifying the urban–rural fringe of polycentric cities using multi-sourced data

J Yang, J Dong, Y Sun, J Zhu, Y Huang… - International Journal of …, 2022 - Taylor & Francis
Studies on urban–rural fringes, which represent regions facing various urbanization
problems caused by rapid expansion, have steadily increased in recent years. However …

NS-DBSCAN: A density-based clustering algorithm in network space

T Wang, C Ren, Y Luo, J Tian - ISPRS International Journal of Geo …, 2019 - mdpi.com
Spatial clustering analysis is an important spatial data mining technique. It divides objects
into clusters according to their similarities in both location and attribute aspects. It plays an …

[HTML][HTML] Quantile regression–based spatiotemporal analysis of extreme temperature change in China

M Gao, CLE Franzke - Journal of Climate, 2017 - journals.ametsoc.org
Quantile Regression–Based Spatiotemporal Analysis of Extreme Temperature Change in
China in: Journal of Climate Volume 30 Issue 24 (2017) Jump to Content Jump to Main …

[PDF][PDF] 多模态地理大数据时空分析方法

邓敏, 蔡建南, 杨文涛, 唐建波, 杨学习, 刘启亮… - 地球信息科学 …, 2020 - researching.cn
多模态地理大数据时空分析旨在融合地理大数据的多模态信息发现有价值的时空分布规律,
异常表现, 关联模式与变化趋势, 是全空间信息系统的核心研究内容, 并有望成为推进地理学人地 …

Modified data-driven framework for housing market segmentation

C Wu, X Ye, F Ren, Q Du - Journal of Urban Planning and …, 2018 - ascelibrary.org
Housing market segmentation is significant at both the conceptual and empirical levels
because it reflects the spatial heterogeneity of housing prices, improves the predictive …

[HTML][HTML] Dynamic graph CNN based semantic segmentation of concrete defects and as-inspected modeling

F Bahreini, A Hammad - Automation in Construction, 2024 - Elsevier
Obtaining accurate information of defective areas of infrastructures helps to perform repair
actions more efficiently. Recently, LiDAR scanners have been used for the inspection of …