A Simulation-based Approach for Sustainable Transportation Systems Evaluation and Optimization: Theory, Systematic Framework and Applications

Song, Mingzhu; Yin, Ming; Chen, Xiqun; Zhang, Lei; Li, Meng

doi:10.1016/j.sbspro.2013.08.257

Cited by 26 publications

(11 citation statements)

References 8 publications

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“…Social urbanization reflects the level of construction of public service facilities during the process of urbanization, and is mainly shown in per capita urban road area, ownership of public buses per ten thousand people, the ratio of participation in pension insurance and the number of public libraries [37]. Coordinated development of urban and rural areas is an important step towards narrowing the gap between urban and rural areas, which is mainly reflected in the urban-rural per capita disposable income ratio, urban-rural per capita consumption expenditure ratio and urban-rural per capita education investment ratio [40]. Environmental friendliness is the embodiment of new urbanization's intensive environmental protection emphasis, mainly represented by the green coverage rate of the built-up district, per capita green park area, and the comprehensive utilization rate of industrial waste, energy saving and environmental protection investment ratio [40].…”

Section: Construction Of the Evaluation Index Systemmentioning

confidence: 99%

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Association between New Urbanization and Sustainable Transportation: A Symmetrical Coupling Perspective

Guo

Yuen

et al. 2019

Symmetry

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New urbanization (NU) and sustainable transportation (ST) are two important issues in urbanization, and their symmetrical coupling is an important factor for measuring the development of the urbanization process. To comprehensively explore the symmetrical coupling level of NU and ST in the urbanization process, this study proposed a coupling coordination degree (CCD) model and calculated the CCD values of China’s nine metropolises using panel data from 2007 to 2016. The results showed that: (1) From the perspective of each city’s development, the CCD values for Beijing, Tianjin and Chongqing showed a downward trend, and those for Shanghai, Guangzhou, Chengdu and Wuhan exhibited a rising trend, while the CCD values for Zhengzhou and Xi’an fell initially and then rose gradually; (2) Based on the regions of the nine cities, the CCD values of the eastern cities and the central cities all demonstrated a growth trend, while those of the western cities were consistently lower than the central and eastern cities; however, the western cities experienced the highest growth rate. (3) Predictive results showed that the CCD levels of new urbanization and sustainable transportation in the eastern, central and western cities are projected to remain unchanged. Finally, it is expected that regionally balanced development will be realized in 2025. From the symmetrical coupling perspective, this study measured and predicted the coupling coordination level of NU and ST of nine metropolises undergoing the urbanization process, which provides a theoretical basis for effective decision-making for comprehensive and sustainable development of China’s urbanization.

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Section: Construction Of the Evaluation Index Systemmentioning

confidence: 99%

“…coverage rate of the built-up district, per capita green park area, and the comprehensive utilization rate of industrial waste, energy saving and environmental protection investment ratio [40]. The goal of ST is to achieve coordinated transportation development across society, the economy and the environment.…”

Section: Construction Of the Evaluation Index Systemmentioning

confidence: 99%

Association between New Urbanization and Sustainable Transportation: A Symmetrical Coupling Perspective

Guo

Yuen

et al. 2019

Symmetry

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“…Song et al [6] propose a simulation-based approach for sustainable transportation systems evaluation and optimization. The paper proposes optimal combination of transportation planning and operation strategies (e.g.…”

Section: Literature Surveymentioning

confidence: 99%

Simulation-Driven Optimization of Urban Bus Transport

Kalle¹,

Kumar²,

Mohan³

et al. 2019

WIT Transactions on the Built Environment

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Urban bus transport is an important mode of public transportation in developing countries and accounts for the major share of daily commuter demand in growing cities. However, many of these systems are not optimized and suffer from delays, cancellations and overcrowding , leading to losses. In recent times, intelligent transport systems (ITS) have been deployed to improve the bus operations. However, the ITS deployed in developing nations have been limited to monitoring daily operations, largely due to their dynamic and unpredictive demand pattern. Bus transport operators need new ITS solutions for schedule optimization and fleet management to improve the efficiency and profitability. Simulation driven optimization of operational parameters is one of the methods to propose the advantages of integrating ITS solutions with the bus operations. The primary data utilized for analysis includes both the static and dynamic sources. The static data consists of route, schedule, vehicle and historical ticket information. Whereas the dynamic data includes GPS traces and Automatic Vehicle Location System (AVLS) information. The simulation consists of models of bus operations as well as the passenger ridership. Each of these are interdependent and directly impact the measurable performance indicators for the transport operators (for example, passenger load factor, departure headways, vehicle utilization and earnings). Therefore, the goal of the proposed simulator is to optimize these measurable key performance indicators (KPI) through their iterative schedule evaluation. In this paper, the methods used to model bus transportation are investigated and the impact on measurable performance indicators are evaluated. The simulator can not only be used to optimize the schedule, but also to evaluate passenger load and bus fleet utilization scenarios. In addition to evaluation of schedule for typical urban scenario, the conditions in developing countries and application difficulties are discussed. In summary, the results indicate that demand driven scheduling results in cost savings and efficiency improvement.

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“…SBO methods are a family of approaches dealing with optimization problems that objective functions are evaluated through simulations (Fu, 2002;Barton and Meckesheimer, 2006;Huang et al, 2006;Forrester et al, 2008;Montgomery, 2008;He et al, 2013He et al, , 2015Song et al, 2013;Chen et al, 2014aChen et al, , 2014bChen et al, , 2015aChen et al, , 2015bChen et al, , 2015cZhang et al, 2014;Xiong et al, 2015). The major goal of SBO methods is to retrieve information from those evaluated sample points as much as possible and reduce the number of function evaluations in the process of searching for global optima as many as possible.…”

Section: Research Gap and Contributionsmentioning

confidence: 99%

Simulation-based Optimization of Mixed Road Pricing Policies in a large Real-world Network

Chen

Zhu

Zhang

2015

Transportation Research Procedia

Self Cite

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The joint optimization of various types of road pricing strategies for a large-scale real-world network is challenging. Dynamic network supply models can overcome this shortcoming, and provide more detailed information regarding the system performance. However, the computational burden of simulation is still a big challenge for the optimization. Utilizing a simulation-based dynamic traffic assignment model, this paper proposes a simulation-based optimization method to solve the mixed road pricing problem, which is characterized by expensive-to-evaluate and non-closed-form multi-objectives. The mixed road pricing problem is formulated to satisfy dynamic user equilibrium conditions. It enables to capture the time-varying network performance via dynamic traffic assignment. The simulation-based optimization method is successfully applied to the joint optimization of a variety of toll facilities in a real-world network of the Montgomery County in Maryland, i.e. an HOT lane, express toll lanes, and a toll road.

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A Simulation-based Approach for Sustainable Transportation Systems Evaluation and Optimization: Theory, Systematic Framework and Applications

Cited by 26 publications

References 8 publications

Association between New Urbanization and Sustainable Transportation: A Symmetrical Coupling Perspective

Association between New Urbanization and Sustainable Transportation: A Symmetrical Coupling Perspective

Simulation-Driven Optimization of Urban Bus Transport

Simulation-based Optimization of Mixed Road Pricing Policies in a large Real-world Network

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