U.S. Public Preferences for Weather and Road Condition Information

Drobot, Sheldon; Anderson, Amanda R. S.; Burghardt, Crystal; Pisano, Paul

doi:10.1175/bams-d-12-00112.1

Cited by 12 publications

(5 citation statements)

References 5 publications

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“…The transportation community as a whole has identified numerous strategies to potentially mitigate climate change impacts (USACE 2015; Wilbanks et al 2014;White House 2013;USDOT 2014;Meyer 2008). These strategies include (1) increased resistance (e.g., strong and taller structures, critical route protection, and larger culverts/bridge openings) (Claman et al 2014;Thomson et al 2012); (2) development of advanced information technologies (internal asset management systems, advanced weather and mobile observations, crowd sourcing, and big data analysis tools) (Muller et al 2015;Drobot et al 2014;Mahoney and O'Sullivan 2013); and (3) novel approaches and designs that are readily adaptable as environmental loads change (e.g., soft engineering supported by ecological and geomorphic principles, drought-tolerant vegetation, dynamic load restrictions) (Bigford 2015;Strauch et al 2015).…”

Section: Progress and Challenges To Integrating Climate Change Effectmentioning

confidence: 99%

Progress and Challenges in Incorporating Climate Change Information into Transportation Research and Design

Douglas

Jacobs

Hayhoe

et al. 2017

J. Infrastruct. Syst.

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The vulnerability of our nation's transportation infrastructure to climate change and extreme weather is now well documented and the transportation community has identified numerous strategies to potentially mitigate these vulnerabilities. The challenges to the infrastructure sector presented by climate change can only be met through collaboration between the climate science community, who evaluate what the future will likely look like, and the engineering community, who implement our societal response. To facilitate this process, the authors asked: what progress has been made and what needs to be done now in order to allow for the graceful convergence of these two disciplines? In late 2012, the Infrastructure and Climate Network (ICNet), a National Science Foundation-supported research collaboration network, was established to answer that question. This article presents examples of how the ICNet experience has shown the way toward a new generation of innovation and cross-disciplinary research, challenges that can be address by such collaboration, and specific guidance for partnerships and methods to effectively address complex questions requiring a cogeneration of knowledge.

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Section: Progress and Challenges To Integrating Climate Change Effectmentioning

confidence: 99%

Progress and Challenges in Incorporating Climate Change Information into Transportation Research and Design

Douglas

Jacobs

Hayhoe

et al. 2017

J. Infrastruct. Syst.

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“…Researchers ask closed-or open-ended questions about users' recognition of the existence and accuracy of information, when or how information is utilized, and how much they are willing to pay for improving the information. The data collected from the respondents are proposed policies that can either improve the value of weather information or be utilized as base data for non-market valuation methods, such as the conjoint valuation method (CVM) [8][9][10][11][12][13]. Empirical research is performed to analyze the value of the general public or overall weather information, while the analytical approach considers specific situations wherein costs and losses occur depending on the users' decision-making.…”

Section: Introductionmentioning

confidence: 99%

Economic Value of Terminal Aerodrome Forecasts at Incheon Airport, South Korea

Kim

Lee

et al. 2021

Sustainability

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Meteorological information at an arrival airport is one of the primary variables used to determine refueling of discretionary fuel. This study evaluated the economic value of terminal aerodrome forecasts (TAF), which has not been previously quantitatively analyzed in Korea. The analysis data included 374,716 international flights that arrived at Incheon airport during 2017–2019. A cost–loss model was used for the analysis, which is a methodology to evaluate forecast value by considering the cost and loss that users can expect, considering the decision-making result based on forecast utilization. The value was divided in terms of improving fuel efficiency and reducing CO2 emissions. The results of the analysis indicate that the annual average TAF value for Incheon Airport was approximately 2.2 M–20.1 M USD under two hypothetical rules of refueling of discretionary fuel. This value is up to 26.2% higher than the total budget of 16.3 M USD set for the production of aviation meteorological forecasts by the Korea Meteorological Administration (KMA). Further, it is up to 10 times greater than the 2 M USD spent on aviation meteorological information fees collected by the KMA in 2018.

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“…Semi-structured interviews based on prepared questions have been conducted to elicit in-depth knowledge on end-users' attitudes and behaviors regarding weather forecasts [14][15][16]. Empirical research also uses surveys based on close-ended questionnaires to obtain a better understanding of general user opinions on the sources, uses, and perceptions of weather forecasts [6,[17][18][19][20][21][22][23]. The figure itself obtained by a survey with close-ended questions is an answer which is derived from the set of alternatives being offered.…”

Section: Introductionmentioning

confidence: 99%

Social Media Data Analytics to Enhance Sustainable Communications between Public Users and Providers in Weather Forecast Service Industry

Lee

Kim

2020

Sustainability

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The weather forecast service industry needs to understand customers’ opinions of the weather forecast to enhance sustainable communication between forecast providers and recipients particularly influenced by inherent uncertainty in the forecast itself and cultural factors. This study aims to investigate the potential for using social media data to analyze users’ opinions of the wrong weather forecast. Twitter data from Korea in 2014 are analyzed using textual analysis and association rule mining to extract meaningful emotions or behaviors from weather forecast users. The results of textual analysis show that the frequency of negative opinions is considerably high compared to positive opinions. More than half of the tweets mention precipitation forecasts among the meteorological phenomena, implying that most Koreans are sensitive to rain events. Moreover, association rules extracted from the negative tweets reveal a pattern of user criticism according to the seasons and types of forecast errors such as a “false alarm” or “miss” error. This study shows that social media data can provide valuable information on the actual opinion of the forecast users in almost real time, enabling the weather forecast providers to communicate effectively with the public.

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U.S. Public Preferences for Weather and Road Condition Information

Cited by 12 publications

References 5 publications

Progress and Challenges in Incorporating Climate Change Information into Transportation Research and Design

Progress and Challenges in Incorporating Climate Change Information into Transportation Research and Design

Economic Value of Terminal Aerodrome Forecasts at Incheon Airport, South Korea

Social Media Data Analytics to Enhance Sustainable Communications between Public Users and Providers in Weather Forecast Service Industry

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