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The low-carbon economy, as a major trend of global economic development, has been a widespread concern, which is a rare opportunity to realize the transformation of the economic way in China. The realization of a low-carbon economy requires improved resource utilization efficiency and reduced carbon emissions. The reasonable location of logistics nodes is of great significance in the optimization of a logistics network. This study formulates a double objective function optimization model of reverse logistics facility location considering the balance between the functional objectives of the carbon emissions and the benefits. A hybrid multi-objective optimization algorithm that combines a gravitation algorithm and a particle swarm optimization algorithm is proposed to solve this reverse logistics facility location model. The mobile phone recycling logistics network in Jilin Province is applied as the case study to verify the feasibility of the proposed reverse logistics facility location model and solution method. Analysis and discussion are conducted to monitor the robustness of the results. The results prove that this approach provides an effective tool to solve the multi-objective optimization problem of reverse logistics location.
Lijun Chang; Honghao Zhang; Guoquan Xie; Zhenzhong Yu; Menghao Zhang; Tao Li; Guangdong Tian; Dexin Yu. Reverse Logistics Location Based on Energy Consumption: Modeling and Multi-Objective Optimization Method. Applied Sciences 2021, 11, 6466 .
AMA StyleLijun Chang, Honghao Zhang, Guoquan Xie, Zhenzhong Yu, Menghao Zhang, Tao Li, Guangdong Tian, Dexin Yu. Reverse Logistics Location Based on Energy Consumption: Modeling and Multi-Objective Optimization Method. Applied Sciences. 2021; 11 (14):6466.
Chicago/Turabian StyleLijun Chang; Honghao Zhang; Guoquan Xie; Zhenzhong Yu; Menghao Zhang; Tao Li; Guangdong Tian; Dexin Yu. 2021. "Reverse Logistics Location Based on Energy Consumption: Modeling and Multi-Objective Optimization Method." Applied Sciences 11, no. 14: 6466.
This paper examines the impacts of road network density on motor vehicle travel through traffic flow and network analysis of cities in China from three perspectives: multi-city comparison with traffic flow data, multi-city and multi-period comparisons with structural characteristics. When we examine the correlation between road network density and traffic flow characteristics including the travel time and speed of 35 major cities in China, no correlation exists between them which may result from different network structures, dynamic traffic demands, traffic control plans, driving behaviors, and so on. It inspires us to explore the correlation between road network density and static travel indicators. Then structural characteristic of road networks can be treated as a fixed relatively attribute and becomes the next research emphasis of this work. Comparative analysis results of three current cities (Xiamen, Washington D.C., San Jose) indicate that the average travel distance in different cities with the similar land area will not increase significantly as road network density increases. Results of an analysis of road network evolution of Changchun, China show that the increase of road network density shortens the average road segment length as well as travel distance in general. This impact on average travel distance is also related to evolution periods or modes of urban road networks. These findings provide important empirical support for planners and policymakers to understand the impacts of road network density on transport performance and design more effective urban road networks.
Shiguang Wang; Dexin Yu; Mei-Po Kwan; Lili Zheng; Hongzhi Miao; Yongxing Li. The impacts of road network density on motor vehicle travel: An empirical study of Chinese cities based on network theory. Transportation Research Part A: Policy and Practice 2019, 132, 144 -156.
AMA StyleShiguang Wang, Dexin Yu, Mei-Po Kwan, Lili Zheng, Hongzhi Miao, Yongxing Li. The impacts of road network density on motor vehicle travel: An empirical study of Chinese cities based on network theory. Transportation Research Part A: Policy and Practice. 2019; 132 ():144-156.
Chicago/Turabian StyleShiguang Wang; Dexin Yu; Mei-Po Kwan; Lili Zheng; Hongzhi Miao; Yongxing Li. 2019. "The impacts of road network density on motor vehicle travel: An empirical study of Chinese cities based on network theory." Transportation Research Part A: Policy and Practice 132, no. : 144-156.
Understanding the evolution and growth patterns of urban road networks helps to design an efficient and sustainable transport network. The paper proposed a general study framework and analytical workflow based on network theory that could be applied to almost any city to analyze the temporal evolution of road networks. The main tasks follow three steps: vector road network drawing, topology graph generation, and measure classification. Considering data availability and the limitations of existing studies, we took Changchun, China, a middle-sized developing city that is seldom reported in existing studies, as the study area. The research results of Changchun (1912–2017) show the road networks sprawled and densified over time, and the evolution patterns depend on the historical periods and urban planning modes. The evolution of network scales exhibits significant correlation; the population in the city is well correlated with the total road length and car ownership. Each network index also presents specific rules. All road networks are small-world networks, and the arterial roads have been consistent over time; however, the core area changes within the adjacent range but is generally far from the old city. More importantly, we found the correlation between structure and function of the urban road networks in terms of the temporal evolution. However, the temporal evolution pattern shows the correlation varies over time or planning modes, which had not been reported
Shiguang Wang; Dexin Yu; Mei-Po Kwan; Huxing Zhou; Yongxing Li; Hongzhi Miao. The Evolution and Growth Patterns of the Road Network in a Medium-Sized Developing City: A Historical Investigation of Changchun, China, from 1912 to 2017. Sustainability 2019, 11, 5307 .
AMA StyleShiguang Wang, Dexin Yu, Mei-Po Kwan, Huxing Zhou, Yongxing Li, Hongzhi Miao. The Evolution and Growth Patterns of the Road Network in a Medium-Sized Developing City: A Historical Investigation of Changchun, China, from 1912 to 2017. Sustainability. 2019; 11 (19):5307.
Chicago/Turabian StyleShiguang Wang; Dexin Yu; Mei-Po Kwan; Huxing Zhou; Yongxing Li; Hongzhi Miao. 2019. "The Evolution and Growth Patterns of the Road Network in a Medium-Sized Developing City: A Historical Investigation of Changchun, China, from 1912 to 2017." Sustainability 11, no. 19: 5307.