Results 71 to 80 of about 2,358,461 (204)

Aging, Gender and Neighbourhood Determinants of Distance Traveled: A Multilevel Analysis in the Hamilton CMA [PDF]

The objective of this study is to investigate the determinants of mean trip distance traveled by different mode types. The study uses data from the Hamilton CMA in Canada, and multilevel models to investigate demographic aging factors, gender ...
Antonio P�ez, Ruben Mercado
core  

Long-Term Spatiotemporal Characteristics and Influencing Factors of Dust Aerosols in East Asia (2000–2022)

Remote Sensing
The Taklamakan Desert Region (TDR) and the Gobi Desert Region (GDR) in East Asia significantly impact air quality, human health, and climate through dust aerosols. Utilizing the MERRA-2 dataset’s long-term dust aerosol optical depth (DAOD) at 550 nm from
Yanjiao Wang, Jiakui Tang, Wuhua Wang, Zhao Wang, Jiru Wang, Shunbo Liang, Bowen Chu   +6 more
doaj   +1 more source

Modeling future land use and land cover under different scenarios using patch-generating land use simulation model. A case study of Ndola district

Frontiers in Environmental Science
Accurate predictions of changes in Land-use and Land-cover (LULC) are crucial in climate modeling, providing valuable insights into the possible effects of land-use alterations on Earth’s intricate system.
Bwalya Mutale, Fan Qiang
doaj   +1 more source

The factors driving online shopping in Saudi Arabia: Regional and behavioral differences among women [PDF]

, 2009
This study proposes a revised technology acceptance model that integrates expectation confirmation theory to measure regional differences with regard to continuance online shopping intentions in Saudi Arabia. The sample consists of 650 female respondents.
Al-maghrabi, T, Dennis, C
core  

The Paris Residential Market: Driving Factors and Market Behaviour 1973-2001 [PDF]

In this paper we investigate the driving factors associated with the Paris apartment market. We explore a database of nearly 230 000 transactions for residential properties in the Paris area over the 1973 – 2001 period.
Baroni, Michel, Barthélémy, Fabrice, Mokrane, Mahdi   +2 more
core   +1 more source

Smart driving aids and their effects on driving performance and driver distraction [PDF]

, 2009
In-vehicle information systems have been shown to increase driver workload and cause distraction; both of which are causal factors for accidents. This simulator study evaluates the impact that two designs for a smart driving aid, and scenario complexity ...
Birrell, Stewart A., Young, Mark S.
core  

The Characteristics and Driving Factors of Soil Salinisation in the Irrigated Area on the Southern Bank of the Yellow River in Inner Mongolia: A Assessment of the Donghaixin Irrigation District

Agriculture
Soil salinisation is a critical problem in northern China’s arid and semi-arid irrigated regions, posing a substantial impediment to the sustainable advancement of agriculture in these areas.
Ziyuan Qin, Tangzhe Nie, Ying Wang, Hexiang Zheng, Changfu Tong, Jun Wang, Rongyang Wang, Hongfei Hou   +7 more
doaj   +1 more source

Summertime compound heat wave and drought events in China: interregional and subseasonal characteristics, and the associated driving factors

Environmental Research Letters
This study investigates the characteristics of compound heat wave and drought events (CHDEs) across various subregions of China from 1961 to 2022 by utilizing a monthly probability-based index.
Jiani Zeng, Huixin Li, Bo Sun, Huopo Chen, Huijun Wang, Botao Zhou, Mingkeng Duan   +6 more
doaj   +1 more source

Transformations in Urban Human Settlements Within China’s Sustainable Development Innovation Demonstration Zones: A Case Study of Chenzhou City, Hunan Province, During Rapid Urbanization

Land
The quality of urban human settlements (UHSs) directly affects the city’s livability and the well-being of its residents. Scientific monitoring and assessment of UHSs, their progress toward sustainable development, and impacts they experience from rapid ...
Bingxin Xu, Penglong Wang, Yichun Wang, Qinhua Wang, Bao Wang, Xueyan Zhao, Junxia Miao, Feng Gao   +7 more
doaj   +1 more source

Analysis of the Driving Mechanism of Grassland Degradation in Inner Mongolia Grassland from 2015 to 2020 Using Interpretable Machine Learning Methods

Land
In traditional studies on grassland degradation drivers, researchers often lacked the flexibility to selectively consider driving factors and quantitatively depict their contributions. Interpretable machine learning offers a solution to these challenges.
Zuopei Zhang, Yunfeng Hu, Batunacun
doaj   +1 more source