Spatiotemporal trip pattern analysis in a regional bus network with limited automated fare collection data: a case study of the Pioneer Valley DOI Creative Commons
Mohammed Mohammed, Jimi Oke

Research Square (Research Square), Journal Year: 2022, Volume and Issue: unknown

Published: Aug. 22, 2022

Abstract Understanding passenger trip patterns is crucial to enabling transit agencies plan effectively and equitably, particularly in response disruptive events. However, current data collection systems either do not collect detailed behaviour or are expensive implement. In this paper, we exploit the relatively cheap big collected by a mobile ticketing system efficiently extract distinctive travel patterns. We employed our methods on sample of anonymized from Pioneer Valley Transit Authority Massachusetts. First, applied greedy approach infer boarding stop locations. Then computed multi-dimensional dissimilarity activation time series using AWarp alignment algorithm, which works well with sparse data. Finally, clustered these spatiotemporal hierarchical clustering. Our novel method has resulted four pattern typologies analysed based demographics, hourly daily distributions, faretypes, length duration, among other metrics. Three were associated regular commuters, differentiated transfer propensity. The fourth typology was mostly leisure activities. Beyond yielding insights facilitating demand estimation for planners study area, expect that framework can be readily aid future decision-making efforts similar areas minimal availability.

Language: Английский

Adapting cities to the surge: A comprehensive review of climate-induced urban flooding DOI Creative Commons

Gangani Dharmarathne,

Anushka Osadhi Waduge,

Madhusha Bogahawaththa

et al.

Results in Engineering, Journal Year: 2024, Volume and Issue: 22, P. 102123 - 102123

Published: April 9, 2024

Climate change is a serious global issue causing more extreme weather patterns, resulting in frequent and severe events like urban flooding. This review explores the connection between climate flooding, offering statistical, scientific, advanced perspectives. Analyses of precipitation patterns show clear changes, establishing strong link heightened intensity rainfall events. Hydrological modeling case studies provide compelling scientific evidence attributing flooding to climate-induced changes. Urban infrastructure, including transportation networks critical facilities, increasingly vulnerable, worsening impact on people's lives businesses. Examining adaptation strategies, highlights need for resilient planning integration green infrastructure. Additionally, it delves into role technologies, such as artificial intelligence, remote sensing, predictive modeling, improving flood prediction, monitoring, management. The socio-economic implications are discussed, emphasizing unequal vulnerability importance inclusive policies. In conclusion, stresses urgency addressing through holistic analysis statistical trends, evidence, infrastructure vulnerabilities, adaptive measures. technologies comprehensive understanding essential developing effective, strategies. serves valuable resource, insights policymakers, researchers, practitioners striving climate-resilient futures amid escalating impacts.

Language: Английский

Citations

47
Landholders’ intentions to engage in private land conservation agreements under climate risk DOI Creative Commons
Nanda Kaji Budhathoki, Kelly S. Fielding, Jonathan Rhoades

et al.

Journal of Environmental Management, Journal Year: 2025, Volume and Issue: 377, P. 124483 - 124483

Published: Feb. 21, 2025

Private landholders play a critical role in global biodiversity conservation as they manage significant portions of land many countries. Understanding the motivations and barriers related to landholders' uptake formal agreements, such covenants, is essential for scaling up prioritizing investment conservation. However, we currently have limited understanding how experiences perceptions past future threats from extreme weather events relate intentions adopt covenants. Knowledge this likely be designing private programs under climate change. To address this, applied protection motivation theory explore whether experience (i.e., drought, bushfire, flood) change risk predicted stated Using survey New South Wales, Australia (N = 294), multivariate structural equation models were run, each tailored specific event well model combining all events. We found that beliefs effectiveness covenants (response efficacy belief) their severity positively significantly likelihood Moreover, perceived mediated effect environmental values on adoption intentions. In event-specific models, flood participants' covenant intentions, while bushfire impact Conversely, no mediation effects observed drought model. Financial incentives, behaviour, or management network membership, characteristics did not predict Drawing these findings, integrating landholder into design policies improve long-term resilience initiatives.

Language: Английский

Citations

1
How do firms perceive and react to extreme weather risk in their supply bases? DOI
Wenjun Shu, Di Fan

International Journal of Production Economics, Journal Year: 2023, Volume and Issue: 268, P. 109125 - 109125

Published: Dec. 6, 2023

Language: Английский

Citations

13
Social-economic transitions and vulnerability to extreme temperature events from 1960 to 2020 in Chinese cities DOI Creative Commons
Yang Xie,

Ziqiao Zhou,

Sun Qinghua

et al.

iScience, Journal Year: 2024, Volume and Issue: 27(3), P. 109066 - 109066

Published: Feb. 1, 2024

Climate change leads to more frequent and intense extreme temperature events, causing a significant number of excess deaths. Using an epidemiological approach, we analyze all-cause deaths related heatwaves cold spells in 2,852 Chinese counties from 1960 2020. Economic losses associated with these events are determined through the value statistical life. Findings reveal that cold-related cumulative (1,133 thousand) approximately 2.5 times higher than heat-related deaths, despite increase fatalities recent decades. Monetized mortality due is estimated at 1,284 billion CNY, while economic loss 1,510 CNY. Notably, cities located colder regions experience vice versa. development does not significantly reduce risks across China. This study provides insights into spatial-temporal heterogeneity mortality, essential for policymakers ensuring long-term climate adaptation sustainability.

Language: Английский

Citations

5
The climate change risk perception model in the United States: A replication study DOI
Christine Gilbert, Kenneth A. Lachlan

Journal of Environmental Psychology, Journal Year: 2023, Volume and Issue: 86, P. 101969 - 101969

Published: Jan. 28, 2023

Language: Английский

Citations

12
The linguistic and emotional effects of weather on UK social media users DOI Creative Commons
James C. Young, Rudy Arthur, Hywel T. P. Williams

et al.

Scientific Reports, Journal Year: 2025, Volume and Issue: 15(1)

Published: March 7, 2025

Abstract Weather significantly impacts mood and happiness, yet observing this at scale differentiating across weather types is challenging. This study examines the variation in public sentiment related to different conditions, as reflected vocabulary used UK-based social media (Twitter) content. We introduce a novel context-sensitive metric construct scales that rank words emojis by both severity emotional intensity, controlling for linguistic variations naturally occur discussion topics. Our findings reveal responses are complex, influenced combinations of variables regional language differences. For five conditions (temperature, precipitation, humidity, wind speed barometric pressure) we first identify associated with commonly discuss them, highlighting distinct express positive negative emotions each type. Next, demonstrate discussions predicts condition varies combinations. These highlight importance methods better understanding response weather. approach reveals systematic relationships between mood, offering insights impact-based forecasting risk communication.

Language: Английский

Citations

0
Multidimensional Cross-Country Measurement of Climate Change Perceptions DOI Creative Commons
Mohamed Htitich, Jaromír Harmáček,

John Lisney

et al.

Measurement Interdisciplinary Research and Perspectives, Journal Year: 2024, Volume and Issue: unknown, P. 1 - 16

Published: May 21, 2024

Understanding public perceptions of climate change is crucial for more targeted communication and better-informed policymaking. Moreover, the encompass different aspects thus need to be defined measured using a multidimensional approach. In this paper, we introduce Climate Perceptions Index (CPI), composite measure that comprehensively assesses change, based on sample over 100 thousand active Facebook users across 107 countries. We construct CPI as an aggregate three distinct dimensions quantify awareness risk perception, commitment action. The results show extent varies significantly countries dimensions. Countries with highest lowest scores globally can found in almost all regions, levels socio-economic development. Furthermore, analyze relationships between find influence perception action strongest at awareness. This highlights possibility normalization higher awareness, further shows effective policies strategies must not only focus raising knowledge about but also overcome its threats.

Language: Английский

Citations

2
Quantifying weather-induced unreliable public transportation service in cold regions under future climate model scenarios DOI Creative Commons
Xuelin Tian,

Chen Lu,

Ziyang Song

et al.

Sustainable Cities and Society, Journal Year: 2024, Volume and Issue: 113, P. 105660 - 105660

Published: July 14, 2024

Climate change, particularly in cold regions, significantly challenges public transportation systems. This study conducts a comprehensive analysis of weather patterns and transit reliability the context climate change impacts. Leveraging advanced modeling techniques, including ridge regression model for snow water equivalent data estimation long short-term memory (LSTM) based on recurrent neural network, aims to assess trends rapid system under various scenarios. The findings reveal that general increases weather-related delays Toronto system. number short decreased accordingly due changes winter temperatures but exacerbated as extremes increased. LSTM performed effectively predicting delays, especially sensitive variations. emphasizes need robust planning interventions increase resilience systems against highlights importance integration extreme considerations into management.

Language: Английский

Citations

2
Landholders’ Intentions to Engage in Private Land Conservation Agreements Under Climate Risk DOI
Nanda Kaji Budhathoki, Kelly S. Fielding, Carla L. Archibald

et al.

Published: Jan. 1, 2024

Language: Английский

Citations

1
Attending to the unattended: Why and how do local governments plan for access and functional needs in climate risk reduction? DOI
Fengxiu Zhang, Tianyi Xiang

Environmental Science & Policy, Journal Year: 2024, Volume and Issue: 162, P. 103892 - 103892

Published: Sept. 17, 2024

Language: Английский

Citations

1