Article
Forestry
Jiefeng Kang, Satoshi Hirabayashi, Shozo Shibata
Summary: With the rapid growth of urban population, the demand for urban ecosystem services increases, and the urban forest plays a crucial role in providing these services. To achieve a better estimation of urban ecosystem services, it is necessary to understand the connection between heterogeneity and ecosystem services within cities.
Article
Environmental Sciences
Qian Yu, Na Li, Jing Wang, Shan Wang, Pankaj Kumar
Summary: Sponge City Construction (SCC) can effectively solve urban areas' water problems by utilizing green infrastructure (GI) which provides multiple co-benefits. However, existing assessment indicator systems fail to consider these comprehensive impacts. This study establishes a comprehensive indicator system to assess the co-benefits of different GI measures and applies it to a case study in Jinan. The results demonstrate the effectiveness of the proposed indicator system and provide valuable guidance to decision-makers in SCC planning and design stages.
Article
Environmental Studies
Sumita Ghosh
Summary: Urban agriculture in home gardens has the potential to improve resilience, health, and food security by connecting people back to nature. A case study in the regional City of Dubbo in Australia estimated the urban agriculture potential of home gardens, finding that certain subdivision categories covered a significant portion of residential land use zones. The research also highlighted the importance of factors such as plot sizes, land cover patterns, and social, cultural, and economic factors in determining the potential of home gardens for food production.
Article
Construction & Building Technology
Bo Li, You Peng, He He, Mingshu Wang, Tao Feng
Summary: This study focuses on the spatial distribution of COVID-19 clusters in urban areas, analyzing the case clusters in the Huangzhou district of Huanggang city using GIS methods. It explores the relationship between built environment attributes and cluster size, finding significant direct and indirect influences of commercial vitality and transportation infrastructure on the number of cases. The findings provide evidence for local health authorities to make informed decisions in responding to possible severe epidemics by implementing sufficient measures in areas with high resident density.
SUSTAINABLE CITIES AND SOCIETY
(2021)
Article
Plant Sciences
Iran J. C. Lopes, Daniela Biondi, Ana P. D. Corte, Allan R. N. Reis, Thiago G. S. Oliveira
Summary: Integrating landscape models into urban planning can promote the use of green infrastructure tools, which are essential for meeting future sustainability requirements. The city of Curitiba, Brazil provides an opportunity to research habitat connectivity in urban areas. Our study proposes a network of greenways that connect ecologically relevant green areas, using avian movement and environmental indicators to enhance urban ecology. By utilizing least-cost paths, we identified priority areas for ecological network formation. The findings offer potential for restoring avian-related functional connectivity in a highly urbanized city like Curitiba.
URBAN FORESTRY & URBAN GREENING
(2023)
Article
Environmental Studies
Ming Zhang, Xiaoxiao Liu, Yueting Ding
Summary: The study found that increasing urban transportation infrastructure investment can significantly improve air quality in sample cities and mitigate haze pollution levels; after using instrumental variables to alleviate endogenous biases, the inhibitory effect is more pronounced; compared to fixed asset investments in public facility construction, increasing urban road area has a better impact on improving haze pollution.
ENVIRONMENTAL IMPACT ASSESSMENT REVIEW
(2021)
Article
Engineering, Multidisciplinary
Hongmei Guan, Xin Guo
Summary: This article constructs a comprehensive evaluation index system for urban tourism environment quality and tourism economic system, and uses the entropy method to weigh the indexes. The empirical analysis of Nanjing's tourism environment quality, tourism economy comprehensive development level, and coupling coordination degree from 2009 to 2020 shows a fluctuating upward trend in the overall coupling coordination degree.
MATHEMATICAL PROBLEMS IN ENGINEERING
(2022)
Article
Engineering, Multidisciplinary
Ola Hassan, Eman A. K. Mohamed, Aly Hassan, Magdy Shaheen, Wael Bekheet
Summary: A historic urban district is a quarter built many years ago and has valuable memories. Sustainable mobility development on its streets is crucial, focusing on travel demands, accessibility, and the environment. This research proposes an approach with sequential phases to define goals, formulate planning scenarios, and evaluate measures using sustainability indicators and micro-simulation.
ALEXANDRIA ENGINEERING JOURNAL
(2023)
Article
Urban Studies
Ziyang Zhang, Guoqiang Ma, Xiang Lin, Haoyu Dai
Summary: "Urban Park Accessibility Research: A Case Study of Park City Chengdu" proposes expanding the traditional "origin to destination" model to a "destination to destination" model to accommodate the movement patterns of tourists. By calculating with multiple transportation modes, the paper reveals the key time nodes and park accessibility rankings for four transportation modes, as well as the park accessibility structure in Chengdu. Overall, this paper provides new theoretical perspectives and practical experiences for studying urban park accessibility and serves as a reference for sustainable urban development worldwide.
Article
Engineering, Civil
Ye Zhang, Shuyan Zheng, Yanyan Chen
Summary: This paper proposes a weighted multi-layer network node importance evaluation method that considers node connectivity, diverse transportation modes, and service capabilities (CDSM) to address the limitations of single traffic mode and incomplete evaluation indexes. The effectiveness of the method is verified by constructing a comprehensive transportation network (CTN), and the results show that CTN can reflect real traffic links among different transportation modes. The CDSM can better identify key nodes and accelerate the propagation rate.
TRANSPORTATION RESEARCH RECORD
(2023)
Article
Green & Sustainable Science & Technology
Marufa Sultana, Max Mueller, Magdalena Meyer, Ilse Storch
Summary: Urban green spaces are often small and fragmented, but they can still support biodiversity if they are located near water bodies and other green areas, allowing for more similar patches and habitat heterogeneity.
Article
Construction & Building Technology
Roberto Moreno, Ricardo Zamora, Norman Moreno-Garcia, Carmen Galan
Summary: This research assesses the effect of the composition and structure of urban trees on the Urban Heat Island (UHI) phenomenon in the south of Chile. The study finds that the shape and quality of trees have a significant impact on temperature oscillations, and better quality and larger canopy area favor the cooling process. Additionally, there are differences in behavior between native and introduced tree species, although they are not significant. Proper management of urban green infrastructure is important for addressing the UHI phenomenon.
BUILDING AND ENVIRONMENT
(2023)
Article
Green & Sustainable Science & Technology
Takumi Asada, Tran Vinh Ha, Mikiharu Arimura, Shuichi Kameyama
Summary: Urban and residential roads play a crucial role in a city's infrastructure, but their maintenance plans face various challenges. This study proposes an effective method of formulating a maintenance plan using spatial autocorrelation analysis and roadside conditions, and the empirical results validate the effectiveness of this method.
Article
Construction & Building Technology
Joao N. D. Fernandes, Jose C. Matos, Helder S. Sousa, Mario R. F. Coelho
Summary: This paper presents an integrated methodology for efficient maintenance program of railway bridges. The methodology extends an existing approach and includes resilience analysis in case of sudden events. The results demonstrate the feasibility of the proposed methodology in preventing severe degradation and establishing recovery plans.
ADVANCES IN CIVIL ENGINEERING
(2022)
Article
Oceanography
Ruohui Zhang, Junyan Dai, Yun Bai, Daniel Barone, Lauren Hill-Beaton
Summary: This paper develops a comprehensive analytical framework for evaluating transportation infrastructure investment strategies for asset management considering the impacts of extreme natural hazards and climate change. The framework integrates quantitative risk analysis (RA) and economic impact analysis (EIA) to assess the benefits and costs of infrastructure maintenance, rehabilitation, and reconstruction (MR & R) strategies. It also incorporates the bidirectional feedback/impact between asset management and risk management. The framework is applied to a case study on the roadway transportation system of the United States Virgin Islands (USVI) to analyze the effects of flood risk and future sea level rise.
OCEAN & COASTAL MANAGEMENT
(2023)
Article
Chemistry, Analytical
Suhaib Alshayeb, Aleksandar Stevanovic, Nikola Mitrovic, Branislav Dimitrijevic
Summary: The accurate collection of data by traffic sensors is crucial for the operation of dynamic toll pricing algorithms on express lanes. This research examines the impact of sensor failures and erroneous data on toll calculations, finding that inaccuracies can lead to increased toll charges. The study emphasizes the importance of individual sensor accuracy and the number of sensors used for estimating traffic conditions in ensuring accurate toll calculations.
Article
Engineering, Civil
Anatolii Prokhorchuk, Nikola Mitrovic, Usman Muhammad, Aleksandar Stevanovic, Muhammad Tayyab Asif, Justin Dauwels, Patrick Jaillet
Summary: The study examines the impact of rainfall intensity on traffic performance, showing that the effects vary for different rainfall situations, times, and days. It also reveals that incorporating rainfall data into prediction models improves their performance.
TRANSPORTATION RESEARCH RECORD
(2021)
Article
Engineering, Civil
Zorica Cvijovic, Milan Zlatkovic, Aleksandar Stevanovic, Yu Song
Summary: This paper explores CV-based algorithms that leverage transit vehicle speed and estimated arrival time at intersections to trigger transit signal priority, aiming to enhance traffic efficiency and safety.
TRANSPORTATION RESEARCH RECORD
(2022)
Article
Engineering, Civil
Nemanja Dobrota, Aleksandar Stevanovic, Nikola Mitrovic
Summary: The study highlights the potential of emerging traffic datasets and high-resolution data in improving signal timings, compared to the deficiency of current policies which rely on low-resolution and low-fidelity data. The proposed approach utilizing medium-resolution and high-fidelity data outperformed traditional methods, indicating the importance of integrating new technologies into signal retiming practices.
TRANSPORTATION RESEARCH RECORD
(2022)
Article
Engineering, Civil
Farzaneh Azadi, Nikola Mitrovic, Aleksandar Stevanovic
Summary: CADLARIC proposes a method to address directionally unrestricted traffic flows in urban environments, but performance may degrade in certain situations. CFLARIC offers more flexible lane assignment possibilities and outperforms other control methods.
TRANSPORTATION RESEARCH RECORD
(2022)
Article
Transportation
Suhaib Alshayeb, Aleksandar Stevanovic, Justin R. Effinger
Summary: This study challenges the common view in current signal optimization practice and presents a methodology to derive the stop penalty factor K and investigate its dependence on various operational conditions. The findings show that the K factor varies significantly with operational conditions and should be larger than currently used values. These findings have important implications for signal timing optimization policies.
INTERNATIONAL JOURNAL OF TRANSPORTATION SCIENCE AND TECHNOLOGY
(2022)
Article
Transportation
Nemanja Dobrota, Aleksandar Stevanovic, Nikola Mitrovic
Summary: This study proposes enhancements to the IQA delay model and a hybrid signal performance measure, which can provide accurate delay estimates and depict arrival pattern characteristics.
TRANSPORTMETRICA A-TRANSPORT SCIENCE
(2022)
Article
Engineering, Civil
Nemanja Dobrota, Aleksandar Stevanovic, Nikola Mitrovic, Suhaib Alshayeb, Milan Zlatkovic
Summary: Emerging high-resolution datasets allow for the development of traffic signal performance measures, providing a better understanding of traffic signal operations. This study proposes three TSPMs to overcome the limitations of existing methods and finds that occupancy-based measures can be used to estimate capacity utilization.
TRANSPORTATION RESEARCH RECORD
(2022)
Article
Engineering, Civil
Slavica Gavric, Denis Sarazhinsky, Aleksandar Stevanovic, Nemanja Dobrota
Summary: Pedestrian signal timings are an important issue in signal timing plans. There are two different treatments for pedestrian timings, with the traditional treatment having some drawbacks. In this study, two novel pedestrian timing treatments were proposed and evaluated, showing promising results. Further research is needed to explore the implementation of similar treatments in different traffic conditions and networks.
TRANSPORTATION RESEARCH RECORD
(2022)
Article
Automation & Control Systems
Aleksandar Jovanovic, Aleksandar Stevanovic, Nemanja Dobrota, Dusan Teodorovic
Summary: This study proposes a novel optimization method for traffic signal settings by combining an ecology-based performance index and an evolutionary method. The Bee Colony Optimization technique is used to solve the optimization problem, and the Vissim model is used for evaluation. The method is tested on a real-world network and shows significant reductions in fuel consumption and emissions.
ENGINEERING APPLICATIONS OF ARTIFICIAL INTELLIGENCE
(2022)
Review
Energy & Fuels
Suhaib Alshayeb, Aleksandar Stevanovic, Nikola Mitrovic, Elio Espino
Summary: Optimizing sustainable traffic signals requires considering a balance between mobility performance measures and sustainability metrics. Previous studies have utilized various combinations from different perspectives to achieve fuel consumption and emissions savings.
Article
Engineering, Civil
Farzaneh Azadi, Nikola Mitrovic, Aleksandar Z. Stevanovic
Summary: This study aims to develop delay and surrogate conflict predictive models in order to assess the performance of a reservation-based intersection control strategy in a flexible automated network. The models, derived using linear regression and multigene genetic programming methods, show potential for applications in traffic planning in an automated environment.
JOURNAL OF TRANSPORTATION ENGINEERING PART A-SYSTEMS
(2023)
Article
Engineering, Civil
Jibril Babatunde, Osama A. Osman, Aleksandar Stevanovic, Nemanja Dobrota
Summary: This paper presents a fuel-based game-theoretic approach for adaptive signal control using Nash bargaining in an n-player cooperative game. The controller combines operational measures and fuel consumption measures to find optimal phasing splits considering future traffic demands. The results show that the fuel-based NB controller achieves significant improvements in fuel consumption, CO emissions, delay, and number of stops compared to traditional actuated control.
TRANSPORTATION RESEARCH RECORD
(2023)
Article
Engineering, Civil
Slavica Gavric, Nemanja Dobrota, Ismet Goksad Erdagi, Aleksandar Stevanovic, Osama A. A. Osman
Summary: Traffic congestion is increasing rapidly worldwide. Transportation agencies are switching to video detection systems for better traffic signal control. This paper proposes an AOG estimation model using multigene genetic programming, which has been validated using a microsimulation model. The model shows high accuracy in estimating arrival types at intersections with only stop-bar video detection.
TRANSPORTATION RESEARCH RECORD
(2023)
Article
Engineering, Civil
Nikola Mitrovic, Nemanja Dobrota, Matheus Barros Pereira, Elio Espino, Aleksandar Stevanovic
Summary: This study proposes a data-driven dashboard that uses the operational attributes of existing assets to rank assets/corridors in the network based on their appropriateness for the installation of ATCS systems. The proposed tool was deployed in a case study to support the installation of 1,100 ATCS signals in the road network of Miami-Dade County, Florida.
TRANSPORTATION RESEARCH RECORD
(2023)