scholarly journals The Impact of Underground Logistics System on Urban Sustainable Development: A System Dynamics Approach

2019 ◽  
Vol 11 (5) ◽  
pp. 1223 ◽  
Author(s):  
Jianjun Dong ◽  
Yuanxian Xu ◽  
Bon-gang Hwang ◽  
Rui Ren ◽  
Zhilong Chen
Keyword(s):  
Sustainable Development ◽  
System Dynamics ◽  
Urban Transportation ◽  
Network Capacity ◽  
Urban Traffic ◽  
Beijing City ◽  
Logistics System ◽  
Urban Sustainable Development ◽  
Simulation Results ◽  
The Impact

The lack of practical application and accurate benefit analysis, which are the prerequisites for each other, make it difficult to implement and promote the underground logistics system (ULS), although in theory people always recognize its advantages in sustainable improvement of urban transportation and logistics. This paper attempts to use the system dynamics (SD) method, based on the real-world simulation, to analyze the quantitative relationship between the implementation strategy of ULS and the sustainability of urban transportation and logistics to solve this problem. Beijing city, China, was selected as the empirical background. Four ULS implementation strategies were proposed according to the city’s potential investment in ULS and its demand for ULS network capacity. Meanwhile, four representative indicators were selected to evaluate the simulation results, including the average speed of the road networks in the peak hour, congestion loss, delivery travel time in the peak hour and the PM emissions of the truck. Good fitting index of historical data shows the validity of the model. Simulation results show that ULS, as a supplement to the urban integrated transport system, can significantly improve urban traffic and logistics. This study provides a perspective in the systematic and quantitative analysis of ULS to support the urban sustainable development.

Study on Urban Sustainable Development Based on System Dynamics

2014 ◽  
Vol 587-589 ◽  
pp. 171-175
Author(s):  
Jian Ping Li ◽  
Han Ming Duan ◽  
Min Qiu
Keyword(s):  
Sustainable Development ◽  
System Dynamics ◽  
Northwest China ◽  
System Dynamics Model ◽  
Dynamics Model ◽  
Urban Sustainable Development ◽  
The Status ◽  
City System ◽  
The Impact ◽  
The City

A system dynamics model of urban sustainable development is provided, and the impact of different development modes on the city system is explored. Statistical data of Yinchuan, a city in northwest China, is utilized to build the model which shows the population-economy- environment relationship. Four development modes are proposed, and they are maintaining the status quo, developing secondary industry, developing tertiary industry, developing economy and society together. The system dynamics model is employed to analyze the interaction between population, economy and environment. According to simulation of the system dynamics model, impact of development modes on the city system is predicted. Furthermore, suggestions on improving the sustainability of urban development are put forward. In a word, the paper presents a new idea for the study on urban sustainable development in northwest China.

Review of the Evaluation of Urban Sustainable Development

2014 ◽  
Vol 1073-1076 ◽  
pp. 2610-2613
Author(s):  
Ling Zhang ◽  
Lu Pan Wang ◽  
Le He ◽  
Hou Chen Li
Keyword(s):  
Sustainable Development ◽  
System Dynamics ◽  
Composite Index ◽  
Urban Metabolism ◽  
Environmental Aspects ◽  
Index Method ◽  
Urban Sustainable Development ◽  
Development Evaluation ◽  
The Relationship ◽  
Dynamics Method

City is a kind of synthetic system, which is composed of social, economic and environmental aspects, how to achieve a sustainable development is an important problem for most cities in the world. This paper made a literature review from the composite index method, urban metabolism method and system dynamics method to summary and analysis the urban sustainable development evaluation of existing method. The composite index method is the most concise approach and easy to understand, urban metabolism method can observe the operation of whole city subsystems dynamically, while system dynamics method truly simulates the relationship among city subsystems.

scholarly journals System Dynamics Analysis of the Relationship between Transit Metropolis Construction and Sustainable Development of Urban Transportation—Case Study of Nanchang City, China

2020 ◽  
Vol 12 (7) ◽  
pp. 3028
Author(s):  
Yunqiang Xue ◽  
Lin Cheng ◽  
Kuang Wang ◽  
Jing An ◽  
Hongzhi Guan
Keyword(s):  
Sustainable Development ◽  
System Dynamics ◽  
Traffic Congestion ◽  
Simulation Analysis ◽  
Supply And Demand ◽  
Urban Transportation ◽  
Urban Environments ◽  
Motor Vehicles ◽  
The Sustainable Development ◽  
New Energy

In order to systematically analyze the benefits of transit metropolis construction, the system dynamics (SD) theory was used to construct the transit metropolis SD simulation model from the four subsystems of economy, society, environment, and transportation supply and demand. The validity of the SD model was verified by the social and economic data of Nanchang City and the operational data of the bus company, and the quantitative simulation analysis was carried out by taking the construction of the transit metropolis in Nanchang as an example. The simulation results show that, in 2020, the number of motor vehicles in Nanchang will reach 1.13 million and the urban population will reach 5.71 million. It is necessary to build a transit metropolis for the sustainable development of urban transportation. In order to complete the transit metropolis creation goal of 60% of the public transit mobility sharing rate, the proportion of public transport investment in the total transportation investment needs to be adjusted from 0.25 to 0.35. As a result, Nanchang City will improve after the peak traffic congestion in 2022, indicating that the construction of the transit metropolis will have a positive effect on Nanchang. By developing new energy vehicles and low-emission vehicles, vehicle emissions will drop from 0.05 tons/year to 0.04 tons/year, and overall nitrogen oxide emissions will fall by 70%, which is significant for urban environments. The research results provide theoretical support for the significance of transit metropolis construction, and promote the sustainable development of urban transportation.

The Study of Road Network Capacity Based on Unblocked Reliability

2014 ◽  
Vol 505-506 ◽  
pp. 548-553
Author(s):  
Gui Bao Lin ◽  
Rong Guo Ma ◽  
Han Yue Deng ◽  
Guo Hua Liang
Keyword(s):  
Road Network ◽  
Network Capacity ◽  
Network Control ◽  
Urban Traffic ◽  
Reserve Capacity ◽  
Urban Network ◽  
Structural Capacity ◽  
Simulation Results ◽  
New Perspective ◽  
Capacity Constrained

Recently, to keep the network unblocked becomes more and more important, because that the urban traffic has the serious congestion. The model of network capacity is demonstrated with the concept unblocked reliability and reserve capacity. The simulation results shows that actual network capacity is less than its structural capacity constrained by the network control, which gives a new perspective for the future urban network planning.

Analysis and Verification of Bullwhip Effect Based on System Dynamics

2013 ◽  
Vol 340 ◽  
pp. 312-319
Author(s):  
Fu Xin Yang ◽  
Bai Lan Zhang ◽  
Zhi Yuan Su
Keyword(s):  
Supply Chain ◽  
System Dynamics ◽  
Correlation Coefficient ◽  
Lead Time ◽  
Process Model ◽  
Autoregressive Process ◽  
Bullwhip Effect ◽  
Simulation Software ◽  
Simulation Results ◽  
The Impact

To study the bullwhip effect (BWE) in supply chain (SC), this paper built two system dynamics (SD) models strictly referring to the AR(1) (autoregressive process) model constructed by Frank Chen. Using Vensim simulation software, it analyzed the impact of the correlation coefficient of demand, lead time, smoothing time of demand and information to BWE, and then put forward some proposals on how to reduce BWE. By contrasting the simulation results of SD models with the AR(1) models', it verifies the validity of the AR(1) model of Frank Chen from a simulation perspective. It also shows SD model combined with AR(1) model can analyze BWE in SC reliably and powerfully.

scholarly journals The impact of mega-events on urban sustainable development

2020 ◽  
Vol 7 (3) ◽  
pp. 1653-1666
Author(s):  
Gulnar Mirzayeva ◽  
Oguz Turkay ◽  
Nurkhodzha Akbulaev ◽  
Fariz Ahmadov
Keyword(s):  
Sustainable Development ◽  
Mega Events ◽  
Urban Sustainable Development ◽  
The Impact

A Systems Approach for Modeling Interactions Among the Sustainable Development Goals Part 2

2019 ◽  
Vol 8 (1) ◽  
pp. 41-59 ◽  
Author(s):  
David Zelinka ◽  
Bernard Amadei
Keyword(s):  
Sustainable Development ◽  
System Dynamics ◽  
Sustainable Development Goals ◽  
Impact Analysis ◽  
Systems Approach ◽  
Soft Systems ◽  
The Sustainable Development ◽  
Development Goals ◽  
The Impact ◽  
Over Time

This article presents a methodology using system dynamics to model the time-dependent progress of each one of the 17 Sustainable Development Goals (SDGs), as well as their mutual interactions. The hard-systems approach presented herein complements a soft-systems, cross-impact analysis approach presented in part 1. To accomplish this, a modified logistic innovation-diffusion model is used to represent the progress of individual SDGs over time. Then, matrix transposition is used to model the SDGs' interactions. Combining these two techniques into one system dynamics model, the authors propose an analytical, quantifiable, and easily learned tool to understand the complex interplay among the SDGs as a system. The new web-based tool can be used to analyze several scenarios of the SDGs over time to understand the impact of a certain policy or economic intervention. This article is the second of a sequence of two papers analyzing the interactions between the SDGs in a systemic manner.

scholarly journals Satellite-Aided Consensus Protocol for Scalable Blockchains

Sensors ◽  
2020 ◽  
Vol 20 (19) ◽  
pp. 5616
Author(s):  
Xintong Ling ◽  
Zheng Gao ◽  
Yuwei Le ◽  
Li You ◽  
Jiaheng Wang ◽  
...  
Keyword(s):  
Model Simulation ◽  
Network Capacity ◽  
Propagation Delay ◽  
Information Propagation ◽  
Consensus Protocol ◽  
Capacity Limits ◽  
Extensive Coverage ◽  
Working Principle ◽  
Simulation Results ◽  
The Impact

In this work, we propose a satellite-aided permissionless consensus protocol for scalable space–terrestrial blockchains. We design its working principle and workflow by taking full advantage of satellites for extensive coverage and ubiquitous connectivity. Based on the proposed protocol, we demonstrate how such a space–terrestrial blockchain grows and evolves through several typical cases in the presence of adversarial nodes, user misbehavior, and transmission outage. Taking proof of work (PoW) as a benchmark, we assess the system security by considering both adversarial miners and possible colluding satellites. Then, we analyze the maximum blockchain throughput under network capacity limits and evaluate the impact of information propagation delay via a Markov model. Simulation results support that the proposed satellite-aided consensus protocol achieves higher throughput and exhibits greater scalability than PoW.

A Computational Framework for Social Entrepreneurs to Determine Policies for Sustainable Development

2021 ◽  
Author(s):  
Vispi Karkaria ◽  
Ashok K. Das ◽  
Abhishek Yadav ◽  
Ayushi Sharma ◽  
Janet K. Allen ◽  
...  
Keyword(s):  
Sustainable Development ◽  
System Dynamics ◽  
Economic Indicator ◽  
Social Entrepreneurs ◽  
Holistic View ◽  
The Past ◽  
Triangle Method ◽  
Thematic Area ◽  
The Impact ◽  
The Village

Abstract Many villagers in India suffer from multiple socio-economic challenges, such as, low-income, unemployment, and lack of access to clean water and energy that hinder their overall development. Social entrepreneurs can assist with the design and implementation of policies that help villagers achieve overall sustainability. Previously, a framework to support social entrepreneurs and stakeholders in identifying potential challenges and evaluating the impact of solutions concerning sustainable development was proposed. The framework was anchored in a single perspective (thematic area) Dilemma Triangle Method for identification of challenges and System Dynamics Models for evaluation of impacts. Policies for sustainable development, however, require an understanding of the interactions among multiple possibilities and their associated challenges to be viable, feasible, and equitable. Additionally, one key missing feature in the past framework is the evaluation of the economic impact of the solutions or policies. In this paper, we add new value to the past framework using the Dilemma Triangle Method to integrate more than one perspective, and the System Dynamics Model integrating the economic indicator to get a holistic view of sustainable development. By the addition of more than one thematic area in the Dilemma Triangle Method, the inter-dependency among thematic areas and their associated parameters is understood, which is necessary for identifying problems in complex systems. We include Gross Value Added (GVA) as an economic indicator for evaluating the economic feasibility of the policies identified by using the framework. To illustrate the efficacy of the framework, we implement it for the Kantashol village (panchayat), Jharkhand, India. Based on the Dilemma Triangle Method, multiple policies are proposed, out of which four policies are evaluated in the Systems Dynamic Model for the sustainable development of the village. The policies are currently being applied in the village and the outcome of this framework will be validated in real-time over the years.

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