This research analyzes the spatiotemporal relationship between explanatory variables and the frequency of downed elevator/escalator alerts at train stations on the Massachusetts Bay Transportation Authority’s (MBTA) Orange and Red lines. The data is from 2023. The null hypothesis is that there is no spatiotemporal pattern to the frequency/distribution of alerts. Generalized Linear Poisson Regression is used to model relationships across four time periods – the entire 2023 calendar year, Spring (January-April), Summer (May-August), and Fall (September-December). Results indicate that the null hypothesis can be rejected for all variables in Summer and Fall models but cannot be rejected for all variables in entire year and Spring models. Residual and Hot Spot analysis suggest that while technically significant, real-world effects of variable relationships (such as age and/or ridership levels impacting alert frequency) are miniscule.
Whereas the recognition of the pattern of hotspot clusters is critical, this study fills the gap of understanding the spatiotemporal evolution of Road Traffic Accidents (RTAs) severity by selecting Cole County, which consists state’s capital, Jefferson City, between 2020 and 2023. Leveraging an effective GIS-based fram...
M. Al Hamami· Wasit Journal of Engineering...· 0 citations
This study examines the temporal and spatial patterns of Toronto Transit Commission (TTC) subway delays in Toronto using the TTC Subway Delay Data. The dataset contains 28,191 delay records from January 1, 2025, to January 31, 2026, and the 2025 records are selected for analysis. Descriptive statistics and data visuali...
Yifei Liu· Applied and Computational En...· 0 citations
In this study, we apply fully Bayesian spatio-temporal models to locality-level water consumption in Bogotá, Colombia, from 2019 through 2024. An additive model identifies spatial differences after adjusting for common temporal dynamics and city-wide climatic and socioeconomic time series. Because these covariates ar...
D. Cruz-Reyes, Daniel Leonardo Ramírez Orozco· PLOS Water· 0 citations
This study applies environmental criminology principles to examine the impact of the COVID-19 pandemic on transit-related crime in Belo Horizonte, Brazil. Drawing on police records (2018–2022), land-use data, and socioeconomic indicators, it combines hotspot mapping with regression
analyses across pre-pandemic, early-...
Rafael Lara Mazoni Andrade, V. S. Gonçalves, Vania Ceccato· Built Environment· 0 citations
Background: Administrative wildfire records can characterize operational and temporal patterns, but causal interpretation requires caution when meteorological, fuel, topographic, and accessibility variables are unavailable. This study examined factors associated with wildfire size within the jurisdiction of the Kayseri...
Ayşe Esra Hakverdi· Land· 0 citations
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