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Physical Sciences and Mathematics

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2019

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Articles 91 - 97 of 97

Full-Text Articles in Public Affairs, Public Policy and Public Administration

Analysis Of Bus Ride Comfort Using Smartphone Sensor Data, Hoong-Chor Chin, Xingting Pang, Zhaoxia Wang Jan 2019

Analysis Of Bus Ride Comfort Using Smartphone Sensor Data, Hoong-Chor Chin, Xingting Pang, Zhaoxia Wang

Research Collection School Of Computing and Information Systems

Passenger comfort is an important indicator that is often used to measure the quality of public transport services. It may also be a crucial factor in the passenger’s choice of transport mode. The typical method of assessing passenger comfort is through a passenger interview survey which can be tedious. This study aims to investigate the relationship between bus ride comfort based on ride smoothness and the vehicle’s motion detected by the smartphone sensors. An experiment was carried out on a bus fixed route within the University campus where comfort levels were rated on a 3-point scale and recorded at 5-second …

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A State Aggregation Approach For Stochastic Multiperiod Last-Mile Ride-Sharing Problems, Lucas Agussurja, Shih-Fen Cheng, Hoong Chuin Lau Jan 2019

A State Aggregation Approach For Stochastic Multiperiod Last-Mile Ride-Sharing Problems, Lucas Agussurja, Shih-Fen Cheng, Hoong Chuin Lau

Research Collection School Of Computing and Information Systems

The arrangement of last-mile services is playing an increasingly important role in making public transport more accessible. We study the use of ridesharing in satisfying last-mile demands with the assumption that demands are uncertain and come in batches. The most important contribution of our paper is a two-level Markov decision process framework that is capable of generating a vehicle-dispatching policy for the aforementioned service. We introduce state summarization, representative states, and sample-based cost estimation as major approximation techniques in making our approach scalable. We show that our approach converges and solution quality improves as sample size increases. We also apply …

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Transparency And Algorithmic Governance, Cary Coglianese, David Lehr Jan 2019

Transparency And Algorithmic Governance, Cary Coglianese, David Lehr

All Faculty Scholarship

Machine-learning algorithms are improving and automating important functions in medicine, transportation, and business. Government officials have also started to take notice of the accuracy and speed that such algorithms provide, increasingly relying on them to aid with consequential public-sector functions, including tax administration, regulatory oversight, and benefits administration. Despite machine-learning algorithms’ superior predictive power over conventional analytic tools, algorithmic forecasts are difficult to understand and explain. Machine learning’s “black-box” nature has thus raised concern: Can algorithmic governance be squared with legal principles of governmental transparency? We analyze this question and conclude that machine-learning algorithms’ relative inscrutability does not pose a …

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Ua66/6/2 Ogden College Of Science & Engineering Biology Publications, Wku Archives Jan 2019

Ua66/6/2 Ogden College Of Science & Engineering Biology Publications, Wku Archives

WKU Archives Collection Inventories

Publications created by and about Biology.

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Managing Cyber Risks & Business Exposure In The Surface Transportation Ecosystem, Jacques R. Francoeur Jan 2019

Managing Cyber Risks & Business Exposure In The Surface Transportation Ecosystem, Jacques R. Francoeur

Mineta Transportation Institute

This report focuses on Surface Transportation (ST), both fixed and route-based, and the growing threats to their information technology (IT) infrastructures. As an industry, ST seeks to optimize the movement of people and goods, while ensuring safety and resiliency and minimizing environmental impact. Cyber threats are a powerful medium for those with the political, social, and economic motivations and wherewithal to disrupt and destroy existing ST systems. The ultimate objective is to develop a new paradigm to define, describe, design, and deploy the most effective protection, at the lowest cost, in the shortest time within the limits of available resources. …

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Mid-Atlantic Oil Spill Workshop: Are We Ready? A Regional Workshop As Part Of The National Academies And Sea Grant Collaborative Workshop Series, G. Walker, M. Covi Jan 2019

Mid-Atlantic Oil Spill Workshop: Are We Ready? A Regional Workshop As Part Of The National Academies And Sea Grant Collaborative Workshop Series, G. Walker, M. Covi

OES Faculty Publications

(First paragraph) In 2017, the Gulf Research Program (GRP) and the Health and Medical Division of the National Academies of Sciences, Engineering, and Medicine hosted a workshop to prepare for and respond to major marine oil spills. To address gaps identified at the workshop, GRP reached out to the Sea Grant Oil Spill Science Outreach Program to host a series of regional workshops. The Sea Grant Oil Spill team, based in the Gulf, partnered with state Sea Grant programs across the country to plan and deliver regional workshops in 2018-2019. The goals of the workshops were to raise awareness of …

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A Comparison Of Neighborhood-Scale Interventions To Alleviate Urban Heat In Doha, Qatar, Salim Ferwati, Cynthia Skelhorn, Vivek Shandas, Yasuyo Makido Jan 2019

A Comparison Of Neighborhood-Scale Interventions To Alleviate Urban Heat In Doha, Qatar, Salim Ferwati, Cynthia Skelhorn, Vivek Shandas, Yasuyo Makido

Urban Studies and Planning Faculty Publications and Presentations

Recent evidence suggests that many densely populated areas of the world will be uninhabitable in the coming century due to the depletion of resources, climate change, and increasing urbanization. This poses serious questions regarding the actions that require immediate attention, and opportunities to stave off massive losses of infrastructure, populations, and financial investments. The present study utilizes microclimate modeling to examine the role of landscape features as they affect ambient temperatures in one of the fastest growing regions of the world: Doha, Qatar. By modeling three study sites around Doha—one highly urbanized, one newly urbanizing, and one coastal low-density urbanized—the …

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