4.7 Article

Spatio-temporal characteristics of human activities using location big data in Qilian Mountain National Park

相关参考文献

注意:仅列出部分参考文献,下载原文获取全部文献信息。
Review Chemistry, Analytical

Indoor Location Data for Tracking Human Behaviours: A Scoping Review

Leia C. Shum et al.

Summary: Real-time location systems (RTLS) are valuable sources of spatiotemporal data that record and analyze human behavior patterns. This review investigates the behaviors described using indoor location data, categorizing the features extracted from RTLS data into four groups: dwell time, activity level, trajectory, and proximity. The study identifies major applications in health status monitoring, consumer behaviors, developmental behavior, and workplace safety/efficiency. Overall, RTLS data can identify behavior patterns when there is sufficient richness in location data and a detailed feature analysis is conducted.

SENSORS (2022)

Article Environmental Studies

Cycling in Tibet: An analysis of tourists' spatiotemporal behavior and infrastructure

Naixia Mou et al.

Summary: This study utilized GPS cycling trajectory data to analyze the spatiotemporal behavior of cycling tourists in Tibet, revealing multi-modal fluctuations in cycling trajectories, tourists' preference for national roads, and the concentration of tourism around popular attractions.

TOURISM MANAGEMENT (2022)

Article Computer Science, Artificial Intelligence

Social velocity based spatio-temporal anomalous daily activity discovery of social media users

Ahmet Sakir Dokuz

Summary: Anomalous daily activities that do not align with normal behavior of social media users are challenging to detect due to bot applications, complex activities, and big data in social media datasets. This study proposes a novel method using spatial-temporal information to discover anomalous daily activities, introducing a social velocity interest measure. Experimental evaluation on a real Twitter dataset shows the proposed algorithms are successful in identifying anomalous activities based on spatio-temporal information.

APPLIED INTELLIGENCE (2022)

Article Biodiversity Conservation

Definition and calculation of hierarchical ecological water requirement in areas with substantial human activity-A case study of the Beijing-Tianjin-Hebei region

Xiang Mengshi et al.

Summary: This study is of great importance for the protection of the ecological environment in areas with high levels of human activity. By defining the concept of hierarchical EWR and developing a method to calculate this requirement, the study provides insights into the water needs and EWRs in the Beijing-Tianjin-Hebei region. The results show variations in water demand and EWRs across different areas, and the study also assesses the ecological water supply guarantee rate in the region.

ECOLOGICAL INDICATORS (2022)

Article Environmental Sciences

Using Tencent User Location Data to Modify Night-Time Light Data for Delineating Urban Agglomeration Boundaries

Xiong He et al.

Summary: This study uses a fusion of night-time light and Tencent user location data to delineate urban agglomeration boundaries from both static and dynamic spatial perspectives. The study verifies that the fusion method achieves higher accuracy in delineating urban agglomeration boundaries, enriching the understanding of urban agglomerations.

FRONTIERS IN ENVIRONMENTAL SCIENCE (2022)

Article Geography, Physical

Mining hourly population dynamics by activity type based on decomposition of sequential snapshot data

Qingli Shi et al.

Summary: This paper presents a method for generating dynamic population distributions by activity type and demonstrates its accuracy using real-time data. The study also reveals the relationship between population structure and regional functions.

INTERNATIONAL JOURNAL OF DIGITAL EARTH (2022)

Article Remote Sensing

Urban informal settlements classification via a transformer-based spatial-temporal fusion network using multimodal remote sensing and time-series human activity data

Runyu Fan et al.

Summary: Urban informal settlements (UIS) are high-density areas with low urban infrastructure standards. Classifying UIS accurately is challenging due to the complex spatial relationships and inconspicuous remote sensing observation characteristics. This paper proposes a hybrid Transformer-based spatio-temporal fusion network (STNet) that integrates high-resolution remote sensing images and time-series population density data for UIS classification. Experimental results demonstrate the superior performance of STNet.

INTERNATIONAL JOURNAL OF APPLIED EARTH OBSERVATION AND GEOINFORMATION (2022)

Article Remote Sensing

Evaluation of human activity intensity in geological environment problems of Ji'nan City

Kai Peng et al.

Summary: The study established a multi-factor evaluation model to assess the intensity of human activities and conducted a systematic analysis in Jinan city. The results showed significant differences in human activity intensity in different regions, and quantitative evaluation is helpful for studying changes in the ecological environment.

EUROPEAN JOURNAL OF REMOTE SENSING (2021)

Article Computer Science, Interdisciplinary Applications

Multi-scale detection and interpretation of spatio-temporal anomalies of human activities represented by time-series

Ximeng Cheng et al.

Summary: This study investigates and interprets spatio-temporal anomalies of human activities from a multi-scale perspective by analyzing how anomaly characteristics change at multiple scales through anomaly matching and time-series decomposition methods. The research highlights the importance of scales in anomaly detection and provides valuable references for related works.

COMPUTERS ENVIRONMENT AND URBAN SYSTEMS (2021)

Article Environmental Sciences

Comprehensive evaluation and prediction of tourism ecological security in droughty area national parks-a case study of Qilian Mountain of Zhangye section, China

Yi Wang et al.

Summary: This study focused on evaluating tourism ecological safety and trends in Qilian Mountains National Park-Zhangye region, finding that the composite values of tourism ecological security showed a U-shaped evolution with pressure layer becoming dominant, and forecasted a short-term rise followed by decline in tourism ecological security level in the near future.

ENVIRONMENTAL SCIENCE AND POLLUTION RESEARCH (2021)

Article Computer Science, Information Systems

Functional Area Recognition and Use-Intensity Analysis Based on Multi-Source Data: A Case Study of Jinan, China

Mingyang Yu et al.

Summary: This paper proposes a GIS-based method for hot-spot extraction using POI data and analyzes the use intensity of urban functional areas using Tencent location data. The study reveals the morphological characteristics and dynamic use intensity of facilities in urban areas. Results indicate that different types of functional areas have distinct spatial patterns, with high-use intensity areas mainly concentrated around the urban core. This research provides a scientific basis for Jinan City's development strategy and functional orientation.

ISPRS INTERNATIONAL JOURNAL OF GEO-INFORMATION (2021)

Article Biodiversity Conservation

Contributions of climate change and human activities to vegetation dynamics in Qilian Mountain National Park, northwest China

Qing Peng et al.

Summary: The study found that climate factors had the largest impact on vegetation dynamics in the Qilian Mountain National Park, with precipitation being the dominant factor. The contributions of CC and HA to the increase in NPP were 39.70% and 60.30% respectively, with HA-dominated areas containing most ecological restoration projects.

GLOBAL ECOLOGY AND CONSERVATION (2021)

Article Green & Sustainable Science & Technology

Reversing conflict between humans and the environment - The experience in the Qilian Mountains

Li Zongxing et al.

Summary: The long-standing conflict between human resource needs and the environment in the Qilian Mountains, China has resulted in severe ecological and environmental problems. To achieve sustainable development, the government implemented various policies costing a total of 10.71 billion yuan, including removing buildings, resettling residents, revegetating grassland, and prohibiting grazing. These efforts led to an increase in vegetation index and can be attributed to favorable political climate, natural environment, and cooperation between locals and government departments.

RENEWABLE & SUSTAINABLE ENERGY REVIEWS (2021)

Article Environmental Sciences

Mapping and Evaluating Human Pressure Changes in the Qilian Mountains

Quntao Duan et al.

Summary: From 2000 to 2015, there was a significant increasing trend in vegetation growth in the Qilian Mountains, with a noticeable decline in Qinghai. Human pressure was higher in the eastern region compared to the western region, with Qinghai facing greater pressure. Human activities such as overgrazing and tourism had a significant impact on vegetation types in the area.

REMOTE SENSING (2021)

Article Geography, Physical

A framework for mixed-use decomposition based on temporal activity signatures extracted from big geo-data

Lun Wu et al.

INTERNATIONAL JOURNAL OF DIGITAL EARTH (2020)

Article Environmental Sciences

Are Karst Rocky Desertification Areas Affected by Increasing Human Activity in Southern China? An Empirical Analysis from Nighttime Light Data

Kaifang Shi et al.

INTERNATIONAL JOURNAL OF ENVIRONMENTAL RESEARCH AND PUBLIC HEALTH (2019)

Article Geography, Physical

Population distribution modelling at fine spatio-temporal scale based on mobile phone data

Petr Kubicek et al.

INTERNATIONAL JOURNAL OF DIGITAL EARTH (2019)

Article Ecology

ENVIRONMENTAL IMPACT OF TOURISM ACTIVITIES ON ECOLOGICAL NATURE RESERVES

F. L. Han et al.

APPLIED ECOLOGY AND ENVIRONMENTAL RESEARCH (2019)

Article Computer Science, Information Systems

Fine-grained prediction of urban population using mobile phone location data

Jie Chen et al.

INTERNATIONAL JOURNAL OF GEOGRAPHICAL INFORMATION SCIENCE (2018)

Article Multidisciplinary Sciences

Grassland dynamics in response to climate change and human activities in Xinjiang from 2000 to 2014

Renping Zhang et al.

SCIENTIFIC REPORTS (2018)

Article Computer Science, Artificial Intelligence

Discovering socially important locations of social media users

Ahmet Sakir Dokuz et al.

EXPERT SYSTEMS WITH APPLICATIONS (2017)

Review Environmental Sciences

Acoustic environments matter: Synergistic benefits to humans and ecological communities

Clinton D. Francis et al.

JOURNAL OF ENVIRONMENTAL MANAGEMENT (2017)

Article Computer Science, Interdisciplinary Applications

Discovering socio-spatio-temporal important locations of social media users

Mete Celik et al.

JOURNAL OF COMPUTATIONAL SCIENCE (2017)

Article Computer Science, Information Systems

Privacy and spatial pattern preservation in masked GPS trajectory data

Dara E. Seidl et al.

INTERNATIONAL JOURNAL OF GEOGRAPHICAL INFORMATION SCIENCE (2016)

Article Multidisciplinary Sciences

Continental-scale quantification of landscape values using social media data

Boris T. van Zanten et al.

PROCEEDINGS OF THE NATIONAL ACADEMY OF SCIENCES OF THE UNITED STATES OF AMERICA (2016)

Article Geochemistry & Geophysics

Correcting Incompatible DN Values and Geometric Errors in Nighttime Lights Time-Series Images

Naizhuo Zhao et al.

IEEE TRANSACTIONS ON GEOSCIENCE AND REMOTE SENSING (2015)

Article Environmental Sciences

Environmental impacts of tourism in the Gulf and the Red Sea

William Gladstone et al.

MARINE POLLUTION BULLETIN (2013)

Article Multidisciplinary Sciences

Understanding Road Usage Patterns in Urban Areas

Pu Wang et al.

SCIENTIFIC REPORTS (2012)

Review Green & Sustainable Science & Technology

Status and future perspectives of energy consumption and its ecological impacts in the Qinghai-Tibet region

Xiaoge Ping et al.

RENEWABLE & SUSTAINABLE ENERGY REVIEWS (2011)

Article Computer Science, Information Systems

Human Activity Recognition and Pattern Discovery

Eunju Kim et al.

IEEE PERVASIVE COMPUTING (2010)

Article Environmental Studies

Mobile landscapes: Using location data from cell phones for urban analysis

Carlo Ratti et al.

ENVIRONMENT AND PLANNING B-PLANNING & DESIGN (2006)

Article Remote Sensing

Census from Heaven: An estimate of the global human population using night-time satellite imagery

P Sutton et al.

INTERNATIONAL JOURNAL OF REMOTE SENSING (2001)