Article
Environmental Sciences
S. Mazeika Patricio Sullivan, Jason R. Bohenek, Carlos Caceres, Laura W. Pomeroy
Summary: Integrating a network perspective into research on multiple stressors in rivers can reveal indirect stressor effects and estimate both taxonomic and functional community characteristics. Urban stressors such as impervious surfaces and sedimentation can decrease network complexity, compartmentalization, and stability, with larger streams buffering the negative effects of these stressors.
SCIENCE OF THE TOTAL ENVIRONMENT
(2021)
Article
Agriculture, Multidisciplinary
Kelsey Ryan-Simkins
Summary: The paper argues that religious and spiritual values play a significant role in influencing food justice projects, but this influence is often overlooked. Through qualitative research, it is shown that individuals renegotiate their religious values in non-traditional religious spaces when addressing injustices in the food system, shedding light on a previously underexplored aspect of alternative food spaces.
AGRICULTURE AND HUMAN VALUES
(2021)
Article
Mathematical & Computational Biology
Mingyang Liu, Junhao Han, Yushan Mei, Yuguang Li
Summary: This paper studies the equilibrium problem of urban taxis and proposes a dynamic balancing algorithm that efficiently handles the equilibrium of supply and demand under dynamic trip demands. It detects the density of trip demands and uses a merging strategy to achieve balance. A lazy correlation strategy and a defined balance factor are employed for scheduling. The proposed approach is validated and shown to be effective and scalable.
MATHEMATICAL BIOSCIENCES AND ENGINEERING
(2022)
Article
Multidisciplinary Sciences
Jing Cheng, Linxin Wu, Yueer Gao, Xiuzhu Tian
Summary: This paper proposes a multi-agent model to simulate traffic around urban scenic spots and investigates the impact of tourist behaviors on traffic states. Through a case study, the authors validate the model and obtain the tourist flow threshold that triggers changes in traffic states.
Article
Engineering, Civil
Vishwanath Bulusu, Emin Burak Onat, Raja Sengupta, Pavan Yedavalli, Jane Macfarlane
Summary: This study estimates the maximum number of people who can benefit from Urban Air Mobility in the context of approximately three hundred thousand cross-bay commute trips in the San Francisco Bay Area. The results indicate that about forty-five percent of demand would benefit from UAM when the roads are highly congested, and approximately three percent of demand can benefit from UAM even when the roads are mostly free.
IEEE TRANSACTIONS ON INTELLIGENT TRANSPORTATION SYSTEMS
(2021)
Article
Economics
Peng Liu, Shu-Xian Xu, Ghim Ping Ong, Qiong Tian, Shoufeng Ma
Summary: This study explores the traffic equilibria in a closed core-suburb city connected by a highway, considering two travel modes, on-demand and frequency-based autonomous vehicles. The adoption of frequency-based AVs-priority policy can reduce travel cost for suburban residents and alleviate traffic congestion. As AV automation level increases, urban land rent decreases, suburb expands, and utility for all residents increases.
TRANSPORTATION RESEARCH PART B-METHODOLOGICAL
(2021)
Article
Green & Sustainable Science & Technology
Tao Peng, Jian Chen, Keliang Liu, Zhixuan Qiu, Zhiyan Fu, Yong Huang
Summary: This paper systematically measures the influencing factors of urban parking demand and their action rules by considering the impact of the built environment on travelers' parking demand from the perspective of travelers. The study uses travelers' parking willingness under the stated preference survey to represent parking demand and characterizes travel attributes using 8 factors. The built environment is characterized using 12 variables from 5 dimensions. The results of the empirical analysis show that parking cost, location, and road density are significant factors affecting travelers' parking demand.
JOURNAL OF CLEANER PRODUCTION
(2023)
Article
Construction & Building Technology
Amir Mousavi, Jonathan Bunker, Jinwoo (Brian) Lee
Summary: The study found that using indices for socioeconomic, demographic and urban form characteristics can enhance overall model performance and reflect differences in these characteristics across suburbs when estimating trip generation.
Article
Engineering, Manufacturing
Ziru Li, Chen Liang, Yili Hong, Zhongju Zhang
Summary: This study examines the impact of IT-based on-demand ridesharing platforms on traffic congestion, finding that the effects vary depending on urban spatial features. Empirical evidence shows a significant increase in traffic congestion in compact areas with ridesharing services, while there is marginal evidence of decreased congestion in sprawling urban areas. The net effect of ridesharing services on traffic congestion is shaped by efficiency-enhancing and demand-inducing effects, which differ according to levels of urban compactness.
PRODUCTION AND OPERATIONS MANAGEMENT
(2022)
Article
Environmental Sciences
Giacomo Nicolini, Gabriele Antoniella, Federico Carotenuto, Andreas Christen, Philippe Ciais, Christian Feigenwinter, Beniamino Gioli, Stavros Stagakis, Erik Velasco, Roland Vogt, Helen C. Ward, Janet Barlow, Nektarios Chrysoulakis, Pierpaolo Duce, Martin Graus, Carole Helfter, Bert Heusinkveld, Leena Jarvi, Thomas Karl, Serena Marras, Valery Masson, Bradley Matthews, Fred Meier, Eiko Nemitz, Simone Sabbatini, Dieter Scherer, Helmut Schume, Costantino Sirca, Gert-Jan Steeneveld, Carolina Vagnoli, Yilong Wang, Alessandro Zaldei, Bo Zheng, Dario Papale
Summary: The measures taken in 2020 to control the spread of COVID-19 led to significant reductions in anthropogenic CO2 emissions in urbanized areas worldwide. However, as the restrictions were lifted, emissions quickly rebounded to pre-pandemic levels.
SCIENCE OF THE TOTAL ENVIRONMENT
(2022)
Article
Green & Sustainable Science & Technology
Mostafa Ghodsi, Ali Ardestani, Arash Rasaizadi, Seyednaser Ghadamgahi, Hao Yang
Summary: The shift from face-to-face to online shopping during the COVID-19 pandemic reduced shopping trips, impacting traffic congestion and air pollution. Factors such as age, income, household size, COVID-19 awareness, and attitudes were found to influence shopping behavior and trips.
Article
Green & Sustainable Science & Technology
Ines Frade, Anabela Ribeiro, Daniela Dias, Oxana Tchepel
Summary: This study analyzed the implementation of a bike-sharing system in Coimbra city, Portugal and its expected implications on reducing emissions from road traffic, specifically focusing on the reduction of PM2.5. By considering potential demand, travel behavior analysis, station optimization modeling, and traffic emission modeling, the study identified the impact of modal shift from car to bicycle on traffic reduction and emission reduction in urban areas.
INTERNATIONAL JOURNAL OF SUSTAINABLE TRANSPORTATION
(2022)
Article
Geography
Jinhyung Lee, Nicholas Irwin, Elena Irwin, Harvey J. Miller
Summary: This study examines the relative effects of distance-dependent versus localized amenities on changing urban spatial structure of residential location values. The study finds that localized amenities play a dominant and major role in shaping the polarized urban spatial structure, deepening the divide between high-valued versus low-valued residential locations.
GEOGRAPHICAL ANALYSIS
(2021)
Article
Computer Science, Artificial Intelligence
Xin Guo, Zhengxu Yu, Pengfei Wang, Zhongming Jin, Jianqiang Huang, Deng Cai, Xiaofei He, Xian-Sheng Hua
Summary: Urban traffic light control is a significant and challenging problem in the real world. Existing reinforcement learning-based methods for intersection control often generate actions independently, resulting in action conflicts and resource waste. We propose a novel framework, MaCAR, which enables active communication between agents to address these issues. Additionally, we employ Supply-Demand modeling (SD) to describe and forecast the relation between traffic demand and road supply capacity, enhancing the effectiveness of the model's action. Experimental results show that our model outperforms state-of-the-art methods and SD-MaCAR improves traffic light control performance even in accident scenarios.
IEEE TRANSACTIONS ON KNOWLEDGE AND DATA ENGINEERING
(2023)
Article
Transportation
Jialu Fu, Xianting Huang, Lu (Carol) Tong
Summary: This paper presents an approach to address transportation systems and urban layout problems in urban planning. By using mathematical models and algorithms, effective decision-making supports and optimization solutions can be provided. The effectiveness of the proposed methods is examined through examples and discussions.
TRANSPORTMETRICA A-TRANSPORT SCIENCE
(2022)