The Importance of Automatic Counters for Sustainable Management in Rural Areas: The Case of Hiking Trails in Historic Villages of Portugal DOI Creative Commons
Ana Luque Gil, Luiz Alves

Land, Journal Year: 2024, Volume and Issue: 14(1), P. 61 - 61

Published: Dec. 31, 2024

The dynamics of territorial planning, the management its tourism products, and monitoring demand flows their impact on structure (social, economic environmental) require tools that support acquisition reliable quantitative data, as far possible in real time, are easy to manage allow immediate analysis. In case structures equipment anchored nature segment, particular hiking trails, addition determining indices a network trails understanding temporal dynamics, data collected through automatic counters is crucial tool evaluate patterns tourist demand. Based these assumptions, this research seeks analyse observed eleven Historic Villages Portugal, systems (counters). four years, between 2020 2023, analysed generated almost 190,000 passages, which translates into an annual average 47,500 passages product “Historic Portugal” (more than 4800 for each trail), mostly spring autumn months, mainly weekends.

Language: Английский

How macroeconomic factors impact residential real estate prices in Eastern Europe DOI Creative Commons
Laima Okunevičiūtė Neverauskienė,

Dominykas Linkevičius,

Daiva Andriušaitienė

et al.

Business Management and Economics Engineering, Journal Year: 2025, Volume and Issue: 23(01), P. 30 - 43

Published: Feb. 11, 2025

Purpose – This study examines how GDP growth, interest rates, and unemployment rates influence residential real estate prices in politically economically stable Eastern Euro- pean countries, aiming to identify key drivers of property value changes the region. Research methodology The uses multiple linear regression Pearson correlation (r) assess relationship between variables housing prices, with ARIMA (3,1,0) applied for short-term price forecasts based on cyclical time series trends. Findings findings show a strong macroeconomic indicators influencing factor varying by country, reflecting diverse market sensitivities regional economic contexts. limitations research is limited European countries political conditions, excluding those facing instability. Future studies could expand analysis include such regions provide more comprehensive view. Practical implications results valuable guidance policymakers investors crafting strategies tailored specific enhancing predictions stability. Originality/Value By focusing underexplored Europe, this contributes novel insights into determinants offers foundation further impacts markets.

Language: Английский

Citations

2
Application of artificial intelligence technologies and big data computing for nuclear power plants control: a review DOI Creative Commons

Derjew Ayele Ejigu,

Yanjie Tuo,

Xiaojing Liu

et al.

Frontiers in Nuclear Engineering, Journal Year: 2024, Volume and Issue: 3

Published: Feb. 23, 2024

Nuclear power plants produce a massive amount of clean energy and necessitate safe operation through intelligence technologies. Recently, the rapid advancements in communication infrastructures including artificial intelligence, big data computing, Internet Things devices moving nuclear industries towards digitalization to improve safety. The integration these technologies into sector offers effective tactics addressing several challenges control plants. This can be achieved insights generated from amounts data. paper comprehensively reviews literature on data, seeking provide holistic perspective their relations how they integrated with utilization computing platforms boosts deployment analytics effectively Further, this review also points out future opportunities as well for applying industry.

Language: Английский

Citations

9
Assessing veracity of big data: An in-depth evaluation process from the comparison of Mobile phone traces and groundtruth data in traffic monitoring DOI Creative Commons
Alessandro Nalin, Valeria Vignali, Claudio Lantieri

et al.

Journal of Transport Geography, Journal Year: 2024, Volume and Issue: 118, P. 103930 - 103930

Published: June 1, 2024

Language: Английский

Citations

6
Social resilience and disaster resilience: A strategy in disaster management efforts based on big data analysis in Indonesian's twitter users DOI Creative Commons
Nur Isroatul Khusna, Sumarmi Sumarmi, Syamsul Bachri

et al.

Heliyon, Journal Year: 2023, Volume and Issue: 9(9), P. e19669 - e19669

Published: Aug. 30, 2023

Disasters have various causes, disaster management efforts, and actors involved. A systematic big data analysis is needed to identify social resilience determine the quality of country's on disasters. This study aims (1) perceptions about causes disasters (2) understand efforts. (3) involved in (4) analyze relationship between using large sources. (5) formulate a management. The research was conducted by describing detail from opinions twitter user community text mining method. retrieval process carried out Computer-Assisted Qualitative Data Analysis Software (CAQDAS) with MAXQDA series 2020, Gephi version 0.10.0 SWOT analysis. results show: Most are associated religion; efforts based application at recovery stage; who most security forces countries. There strong resilience, as shown each actor having role nine formulations development strategies limitation this that it only uses Twitter media implications can be used reference for governments, organizations, communities, or others especially countries diversity prone

Language: Английский

Citations

10
Publish and prosper: What's the secret sauce? DOI
Weng Marc Lim

Annals of Tourism Research, Journal Year: 2025, Volume and Issue: 112, P. 103936 - 103936

Published: March 5, 2025

Language: Английский

Citations

0
The rise and fall of the social media platform Flickr: Implications for nature recreation research DOI Creative Commons
Tatu Leppämäki, Vuokko Heikinheimo, Johanna Eklund

et al.

Journal of Outdoor Recreation and Tourism, Journal Year: 2025, Volume and Issue: 50, P. 100880 - 100880

Published: March 30, 2025

Language: Английский

Citations

0
The mountains are calling, but will visitors go? Modeling the effect of weather and air quality on visitation to Pacific Northwest parks and protected areas using mobile device data DOI Creative Commons
Kira Minehart, Ashley D’Antonio, Emily J. Wilkins

et al.

PLOS Climate, Journal Year: 2025, Volume and Issue: 4(4), P. e0000537 - e0000537

Published: April 9, 2025

We investigated how visitors to federal, state, and local parks protected areas (PPAs) respond weather air quality conditions in the Pacific Northwest (PNW), United States. Specifically, we modeled relationship between weekly visitation mean minimum maximum temperature, precipitation, Air Quality Index (AQI), particulate matter 2.5 concentration (PM2.5, often used as an indicator of wildfire smoke) during extended peak season from 2017 2021 91 PNW PPAs. mobile device data StreetLight Data Inc. estimate vehicular visitation. Our findings indicate that increasing precipitation corresponded with decreased all three types PPAs rising temperatures increased found federal PPAs, but once reach a threshold. did not observe threshold effect or state settings. Further, smoke on varies based metric used: PM2.5 concentrations (possibly indicating presence visitation, while AQI These may differently different pollution. results have implications for adapting peak- shoulder- visitor use management current future climate change within beyond PNW.

Language: Английский

Citations

0
Stronger together: integrating geospatial data to understand human outdoor recreation DOI Creative Commons
Tiina Rinne, Henrikki Tenkanen, Age Poom

et al.

Scandinavian Journal of Hospitality and Tourism, Journal Year: 2025, Volume and Issue: unknown, P. 1 - 22

Published: May 5, 2025

Language: Английский

Citations

0
COVID-19 pandemic changes the outdoor physical activity preference in Chinese city: A 7-year GPS trajectory data analysis DOI
Peijin Sun,

Jie Sun,

Lan Jin

et al.

Cities, Journal Year: 2024, Volume and Issue: 152, P. 105253 - 105253

Published: July 4, 2024

Language: Английский

Citations

3
Assessing and Optimizing the Connectivity of the Outdoor Green Recreation Network in Zhengzhou from the Perspective of Green Travel DOI Creative Commons
Jingjing Yan,

Siyu Fan,

Guohang Tian

et al.

Land, Journal Year: 2024, Volume and Issue: 13(12), P. 2085 - 2085

Published: Dec. 3, 2024

With the increasing demand for outdoor recreation and fitness, this study aims to assess connectivity of green (OGR) network from perspective travel propose optimization framework. The Point Interest (POI) Area (AOI) datasets OGR spots in Zhengzhou were utilized as primary research materials. A combination GIS spatial analysis Graph index calculation is employed quantify diagnose based on multi-source data (land cover, topography, road network). system cost surface establishment was improved proposed, shifting its focus previous biological migration ecological human improving network. technical process explored presented. results show that: (1) scale, number, distribution are significantly different urban rural areas. Numerous small-scale short-distance recreational paths distributed areas, while a limited number large-scale long-distance situated areas with better natural resources. (2) Compared driving travel, poor when walking cycling. indexes Dg, BC, dPC can be used reflect connection capability, bridging role, contribution each spot overall connectivity. (3) current optimized through 30 new land suitability analysis. will improve by 4%, suitable increased 41. (4) methodologies quantifying optimizing offer valuable references future field.

Language: Английский

Citations

2