Results 21 to 30 of about 3,412,088 (250)

Assessing Emergency Shelter Demand Using POI Data and Evacuation Simulation

ISPRS International Journal of Geo-Information, 2020
Mapping the fine-scale spatial distribution of emergency shelter demand is crucial for shelter planning during disasters. To provide shelter for people within a reasonable evacuation distance under day and night disaster scenarios, we formed an approach ...
Wei Chen, Yao Fang, Qing Zhai, Wei Wang, Yijie Zhang   +4 more
doaj   +1 more source

Identifying Urban Built-Up Areas Based on Spatial Coupling between Nighttime Light Data and POI: A Case Study of Changchun

Buildings, 2023
Nighttime light (NTL) data and points of interest (POI) data offer precise visual indications of the distributional characteristics of urban spatial structures.
Ziting Wu, Xindong Wei, Xiujuan He, Weijun Gao   +3 more
doaj   +1 more source

Remote Sensing and Social Sensing Data Reveal Scale-Dependent and System-Specific Strengths of Urban Heat Island Determinants

Remote Sensing, 2020
Urban natural surfaces and non-surface human activities are key factors determining the urban heat island (UHI), but their relative importance remains highly controversial and may vary at different spatial scales and focal urban systems.
Xiali Luan, Zhaowu Yu, Yuting Zhang, Sheng Wei, Xinyu Miao, Zheng Y. X. Huang, Shuqing N. Teng, Chi Xu   +7 more
doaj   +1 more source

Integrating GIS-Based Point of Interest and Community Boundary Datasets for Urban Building Energy Modeling

Energies, 2021
Urban building energy modeling (UBEM) is arousing interest in building energy modeling, which requires a large building dataset as an input. Building use is a critical parameter to infer archetype buildings for UBEM.
Zhang Deng, Yixing Chen, Xiao Pan, Zhiwen Peng, Jingjing Yang   +4 more
doaj   +1 more source

The Random Forest-Based Method of Fine-Resolution Population Spatialization by Using the International Space Station Nighttime Photography and Social Sensing Data

Remote Sensing, 2018
Despite the importance of high-resolution population distribution in urban planning, disaster prevention and response, region economic development, and improvement of urban habitant environment, traditional urban investigations mainly focused on large ...
Kangning Li, Yunhao Chen, Ying Li
doaj   +1 more source

Multimodal urban areas of interest generation via remote sensing imagery and geographical prior

International Journal of Applied Earth Observations and Geoinformation
Urban area-of-interest (AOI) refers to an integrated urban functional zone with defined polygonal boundaries. The rapid development of urban commerce has led to increasing demands for highly accurate and timely AOI data.
Chuanji Shi, Yingying Zhang, Jiaotuan Wang, Xin Guo, Qiqi Zhu   +4 more
doaj   +1 more source

Revealing Urban Traffic Demand by Constructing Dynamic Networks With Taxi Trajectory Data

IEEE Access, 2020
As a crucial travel mode, taxi plays a significant role in residents’ daily travel. Uncovering taxi traffic demand has become a hotspot in transport studies. Previous researchers pay more attention to the statistical characteristics of taxi trips,
Hui Zhang, Lele Zhang, Fa Che, Jianmin Jia, Baiying Shi   +4 more
doaj   +1 more source

MST-RNN: A Multi-Dimension Spatiotemporal Recurrent Neural Networks for Recommending the Next Point of Interest

Mathematics, 2022
With the increasing popularity of location-aware Internet-of-Vehicle services, the next-Point-of-Interest (POI) recommendation has gained significant research interest, predicting where drivers will go next from their sequential movements.
Chunshan Li, Dongmei Li, Zhongya Zhang, Dianhui Chu   +3 more
doaj   +1 more source

A New Urban Functional Zone-Based Climate Zoning System for Urban Temperature Study

Remote Sensing, 2021
The urban heat island (UHI) effect has been recognized as one of the most significant terrestrial surface climate-related consequences of urbanization. However, the traditional definition of the urban–rural (UR) division and the newly established local ...
Zhaowu Yu, Yongcai Jing, Gaoyuan Yang, Ranhao Sun   +3 more
doaj   +1 more source

AST-PG: Attention-Based Spatial–Temporal Point-of-Interest-Group Model for Real-Time Point-of-Interest Recommendation

Applied Sciences
Research on next-point-of-interest (POI) recommendation has become a new focus in the field of POI recommendation in recent years. The goal of POI recommendation tasks is to predict a user’s future movement trajectory based on their current state and ...
Huarui Yu, Zesheng Cheng
doaj   +1 more source