In order to minimize the impacts of climate change on various crops, farmers must learn monitor environmental conditions accurately and effectively, especially for plants that are particularly sensitive weather. On-site sensors weather stations two common methods collecting data observing conditions. Although capable accurate information on-site, they can be costly time-consuming install maintain. An alternative is use online stations, which usually government-owned free public; however,...

Air pollution has a severe impact on human physical and mental health. When the air quality is poor enough to cause respiratory irritation, people tend stay home avoid any outdoor activities. In addition, may health problems (depression anxiety) which were associated with high crime risk. Therefore, in this study, it hypothesized that increasing level higher indoor rates, but negatively rates because restricts people's daily Three types of crimes used for analysis: robbery (outdoor crime),...

Numerous studies have determined a relationship between traffic violations and crash risk. However, not only the results been inconsistent, but effects of minor studied extensively. In addition, characteristics violation data (spatial autocorrelation) are widely ignored. Hence, various types spatial variable selection methods (stepwise regression, adaptive LASSO, random forest, Boruta) were employed to select key variables that could be used predict frequency. Then, study Geographically...

The COVID-19 pandemic has increased the demand for online food delivery services (OFDS), leading to an increase in related crashes over last few years. While recent studies have focused on nonmotorised vehicles (such as bicycles or e-bikes), researchers examined role of motorcycles and possible spatial relationships with various points interest (POIs). In addition, most crash POIs utilized typical restaurant datasets instead specific restaurants partnered OFDS, which might bias impact...

Few studies focus on how the ground transport system has increased COVID-19 transmission; details of its spread remain unclear. The absence station-level data obstructs healthcare professionals from effectively targeting anti-epidemic measures. This study employs agent-based modeling through GAMA software to identify Taipei metro stations implicated in initial transmission. In addition, a macro-level estimator is applied as baseline model compare arrival sequences at each station. Utilizing...

There has been done a research on the determination of karst potential in District Sampang. This aims is to analyze presence morphological based Landsat 8 and DEM using several spatial river flow maps, surface temperature, NDVI composite band maps ArcGis BEAM VISAT. Then process continued get analysis map results are morphology. potency with 3 parts spread northern, central southern part Those differences suspected because existence tectonic activity depositional process.

Sampang included in the area that traversed by Kemuning river which has 30 km lenght. The River flow usually cause frequent flood, especially District. Slope data will be made using Landsat 8 and solution given to prevent flood. From research conducted, it was found most influential causing flood is through pass Robatal District Kedungdung Subdistrict with output volume reaching 1060 liters, while bamboo planting done Subdistrict, Omben Sub-District.

Abstract. During COVID-19, the suspension of dine-in option at restaurants had significantly increased online food delivery crashes in Taiwan. Nevertheless, majority current studies remain focused on common motorcycle, which has distinct driving habits and routes than a motorcycle. Even though some recent identified variables contributing to motorcycle crashes, they still restricted defining crash severity model did not account for spatial dependences. In this study, two different models...

To reduce traffic congestion, air pollution, and lost revenue due to drivers cruising around looking for parking spaces, effective management has become a crucial issue in urban areas. Previous studies have shown that demand is related the location of spaces/lots, fees, time spent various driver environmental factors. However, most researchers studied on-street rather than off-street parking. Also, very few consider spatio-temporal variance between variables turnover rate (such as hours...