Article
Thermodynamics
Sharaf AlKheder
Summary: This study focuses on addressing traffic congestion issues in Kuwait roads by implementing ridesharing to optimize traffic flow, reduce vehicle emissions, and minimize travel costs. Results show that ridesharing can decrease trip distance and lower gas emissions.
Article
Business
Nils C. Kobis, Ivan Soraperra, Shaul Shalvi
Summary: The sharing economy has the potential to greatly impact the global economy, with both positive and negative consequences for all parties involved. By establishing a transparency-based sharing framework, it is possible to mitigate the negative impacts and promote responsible sharing practices.
JOURNAL OF MANAGEMENT
(2021)
Article
Energy & Fuels
Yujie Sheng, Qinglai Guo, Feng Chen, Luo Xu, Yang Zhang
Summary: The paper investigates the necessity and feasible mechanism of coordinated pricing in coupled urban power-traffic networks, using a Stackelberg game framework to model pricing interactions and proposing a decentralized coordination framework for information sharing. The results confirm the negative impacts of isolated pricing and demonstrate the effectiveness of coordinated pricing.
Article
Green & Sustainable Science & Technology
Lisa Dang, Widar von Arx, Jonas Frolicher
Summary: The study found that implementing on-demand mobility services can have positive effects on reducing CO2 emissions, but may negatively impact traffic volume in urban areas by replacing bundled public transport demand with less bundled on-demand vehicles. In rural areas, the increase in vehicle kilometres has a smaller impact on traffic volume due to generally low demand. However, negative effects per vehicle kilometre are slightly higher in rural areas compared to dense cities due to higher empty kilometres and lower bundling rates. Authorities should consider these spatial context effects when implementing such services.
Article
Green & Sustainable Science & Technology
Luis Alberto Bertolucci Paes, Barbara Stolte Bezerra, Daniel Jugend, Fabiana Liar Agudo
Summary: This paper explores how the alignment of circular bioeconomy (CBE) principles can support urban ecosystem (UE) services, proposing an adaptive theoretical framework based on qualitative and comparative analysis of current scientific literature. The framework presents itself as a tool to guide further research in the field, facilitating the identification of trade-offs, benefits, and co-benefits, and represents a step towards generalization and reducing uncertainties and utopian notions that shape the CBE.
JOURNAL OF CLEANER PRODUCTION
(2022)
Article
Engineering, Civil
Patrick DeCorla-Souza
Summary: This study explores a transportation demand management concept that combines congestion pricing with incentivized on-demand ridesharing, finding that the concept is financially viable, can bring significant economic benefits, and has the potential to generate surplus revenues that could fill transportation funding gaps.
TRANSPORTATION RESEARCH RECORD
(2021)
Article
Transportation Science & Technology
Matteo Scandella, Arnob Ghosh, Michelangelo Bin, Thomas Parisini
Summary: This paper introduces a macroscopic traffic model to study the impact of rational driver behavior on urban traffic congestion. By providing information about red light duration to drivers and adjusting traffic light control strategies, congestion in the network and queue lengths at intersections can be reduced.
TRANSPORTATION RESEARCH PART C-EMERGING TECHNOLOGIES
(2022)
Article
Green & Sustainable Science & Technology
Lucie Enochsson, Yuliya Voytenko Palgan, Andrius Plepys, Oksana Mont
Summary: The impacts of the sharing economy on urban sustainability are uncertain and contested, with different perceptions held by key actors. A study explores how actors in different sectors and cities frame these impacts, offering insights for negotiations to advance urban sustainability.
Article
Green & Sustainable Science & Technology
Pablo Gonzalez-Aliste, Ivan Derpich, Mario Lopez
Summary: Traffic congestion is a major transportation problem that the United States tries to mitigate by spending billions of dollars, although the outcomes are not always satisfactory. This issue has negative impacts on sustainable transport, including quality of life, pollution, perishables, and costs. Congestion charges are utilized by large cities to reduce traffic jams. This paper aims to reduce urban traffic congestion in Santiago, Chile by estimating charges through a multivariable model based on published surveys. The validation of the model using Fisher multiple regression (F) and the determination coefficient (R-2) demonstrates its statistical significance and good parameter estimation. The model can contribute to achieving Sustainable Development Goals, such as SDG 3, SDG 11, and SDG 13, not only in Santiago but also in any city worldwide.
Article
Computer Science, Interdisciplinary Applications
Hongyan Dui, Chi Zhang
Summary: Taxi sharing system, with rational vehicle route planning and passenger combination, is an effective method to alleviate traffic congestion, save driving time, and reduce costs.
JOURNAL OF SIMULATION
(2021)
Review
Green & Sustainable Science & Technology
Vasja Roblek, Maja Mesko, Iztok Podbregar
Summary: The article provides insights into the key issues of car sharing and its impact on urban sustainability by analyzing 314 articles from the Scopus database. Seven themes related to car sharing in Europe were identified, including sharing, economy, model, systems, electrical car sharing, policy, and travel. The two main ways of car sharing in Europe were explained, along with the use of sustainable environmental solutions in the context of electrification.
Article
Environmental Studies
Morteza Taiebat, Elham Amini, Ming Xu
Summary: This study uses a dataset of all ride-hailing trips in Chicago in 2019 and finds that the willingness of riders to request a shared ride has decreased from 27.0% to 12.8%. The decline in sharing preference is due to increased per-mile costs of shared trips and shifting shorter trips to solo. Travel impedance variables have high predictive power in determining the propensity to share and successfully match a trip.
TRANSPORTATION RESEARCH PART D-TRANSPORT AND ENVIRONMENT
(2022)
Article
Green & Sustainable Science & Technology
Sharon Shoshany Tavory, Tamar Trop, Yoram Shiftan
Summary: This study provides innovative perspectives on nonprofit self-organized ridesharing (SORS) through a social network-based case study. It explores the key mechanisms and user transition process of SORS and demonstrates the effectiveness of the applied framework in promoting more sustainable transportation habits.
INTERNATIONAL JOURNAL OF SUSTAINABLE TRANSPORTATION
(2023)
Article
Environmental Studies
Chao Sun, Jian Lu
Summary: This study re-examines the role of socioeconomic factors and governance policies in urban traffic congestion from a global perspective. The findings show that both socioeconomic factors and governance policies contribute to congestion fluctuations, but the contribution of governance policies is greater. In addition, governance policies play an important role in alleviating traffic congestion, but an unreasonable combination of governance policies can also be a major cause of congestion increase.
Article
Green & Sustainable Science & Technology
P. Ajay, B. Nagaraj, Branesh Madhavan Pillai, Jackrit Suthakorn, M. Bradha
Summary: This article introduces several smart traffic management systems developed through IoT technology to help reduce traffic congestion and address issues caused by a large number of vehicles, including increased consumption of fossil fuels, pollution, accidents, and time wastage.
ENVIRONMENT DEVELOPMENT AND SUSTAINABILITY
(2022)
Article
Management
Gordon Burtch, Qinglai He, Yili Hong, Dokyun Lee
Summary: We examine the impact of peer awards on the volume and novelty of creative user-generated content (UGC) in online platform communities. Through a randomized field experiment on Reddit, we find that peer awards lead to longer and more frequent posts, especially among new community members. The recipients are also likely to engage in more exploration behavior, resulting in content that is more similar to their previous awarded content. This process contributes to a desirable outcome of larger volumes of generally novel UGC for the community.
MANAGEMENT SCIENCE
(2022)
Article
Information Science & Library Science
Chen Liang, Jing Peng, Yili Hong, Bin Gu
Summary: In this study, we found that the intensity, transparency, and control of monitoring all affect workers' willingness to accept monitored jobs. As the monitoring intensity increases, workers become less willing to accept monitoring. Transparent disclosure increases workers' willingness to accept monitoring, but it does not reduce privacy concerns over high intensity monitoring. Providing control also does not significantly reduce workers' privacy concerns for high intensity monitoring. Additionally, females are more willing to accept monitored jobs than males.
INFORMATION SYSTEMS RESEARCH
(2023)
Article
Information Science & Library Science
Ni Huang, Gordon Burtch, Yumei He, Yili Hong
Summary: Congestion is a common issue in digital platform markets. We examined this issue in the context of online dating and evaluated the efficacy of disclosing peers' recent demand. Our results show that the intervention is particularly effective at improving matching efficiency when presented with a textual message-framing cue.
INFORMATION SYSTEMS RESEARCH
(2022)
Article
Information Science & Library Science
Chen Liang, Yili Hong, Pei-Yu Chen, Benjamin B. M. Shao
Summary: This paper demonstrates the importance of auction duration and item description length as screening mechanisms for bidder quality on online service outsourcing platforms. By analyzing data from a major online platform, the study finds that longer auctions attract more bidders but with lower quality, leading to contracting inefficiency and lower buyer utility. Shortening auction duration and item description length can result in higher quality bidders, increased contracting probability, and enhanced utility for buyers.
INFORMATION SYSTEMS RESEARCH
(2022)
Article
Engineering, Manufacturing
Lingli Wang, Ni Huang, Yili Hong, Luning Liu, Xunhua Guo, Guoqing Chen
Summary: Voice-based AI systems replace traditional IVR systems in call center customer service, temporarily increasing machine service duration and demand for human service, but persistently reducing customer complaints. For complex service requests, customers learn from prior AI interactions, leading to fewer complaints. Speech-recognition failures increase demand for human service and customer complaints.
PRODUCTION AND OPERATIONS MANAGEMENT
(2023)
Article
Information Science & Library Science
Ni Huang, Lingli Wang, Yili Hong, Lihui Lin, Xunhua Guo, Guoqing Chen
Summary: Online learners often lack sustained motivation in self-paced online learning, leading to inefficiency and high dropout rates. This study proposes that starting learning sessions at on-the-hour time points significantly influences learning outcomes. The study shows that on-the-hour time points activate users' implemental mindset, leading to greater learning persistence and better performance. Social presence, however, attenuates the effects of on-the-hour time points in online learning. These findings contribute to the design of online learning systems and provide implications for notification and reminder strategies to enhance effectiveness.
INFORMATION SYSTEMS RESEARCH
(2023)
Review
Computer Science, Information Systems
Xin Zheng, Jisu Cao, Yili Hong, Sha Yang, Xingyao Ren
Summary: This study fills the knowledge gap by conducting complementary studies in two different product categories (automobiles and laptops) and reveals three key insights into the effects of multidimensional review systems on product sales for mainstream and niche products.
Article
Information Science & Library Science
Chen Liang, Yili Hong, Pei-Yu Chen, Benjamin B. M. Shao
Summary: This paper examines the screening role of auction duration and item description length on bidder quality in online service outsourcing platforms. The results show that longer durations and descriptions attract more bidders with lower completion rates, leading to higher evaluation costs and adverse selection for buyers. Shortening the auction duration and item description can increase buyer utility and contracting probability.
INFORMATION SYSTEMS RESEARCH
(2022)
Article
Information Science & Library Science
Benjamin B. M. Shao, Robert D. St Louis, Karen Corral, Ziru Li
Summary: Most Fortune 500 companies' procurement practices are not fully utilizing data analytics. We have identified the challenges procurement functions face in this area and provide five best practices to help executives maximize the benefits of data analytics.
MIS QUARTERLY EXECUTIVE
(2022)
Article
Computer Science, Interdisciplinary Applications
Yuheng Hu, Yili Hong
Summary: This paper discusses how to improve civic engagement in local neighborhoods via social media data, proposing a new neural event detection and recommendation framework, and conducting comprehensive evaluations based on two large-scale datasets. By comparing with existing methods, it demonstrates the significant effectiveness of the framework in improving precision, recall, and F-1 scores.
INFORMS JOURNAL ON COMPUTING
(2022)