Sustainable Strategies for Transportation Development in Emerging Cities in China: A Simulation Approach

Abstract

With the rapid development of emerging cities in China, policy makers are faced with the challenges involved in devising strategies for providing transportation systems to keep pace with development. These challenges are associated with the interactive effects among a number of sophisticated factors involved in transportation systems. This paper presents a system dynamics simulation approach to analyze and select transportation development strategies in order to achieve good sustainability performance once they are implemented. The simulation approach consists of three modules: a socioeconomic module, a demand module, and a supply module. The approach is validated through applying empirical data collected from the Shenzhen statistical bulletins. Three types of transport development strategies are selected for the city and examined for their applicability and effects through simulation. The strategies are helpful for reducing decision-making mistakes and achieving the goal of sustainable urban development in most emerging cities.

System Dynamics Simulation to Explore the Impact of a Bike Sharing System. Evidence from México

“…The methodology of this study parallels the procedure followed by Shen et al (2018). The first step is understanding what represents a "successful" BSS according to the objectives of the municipal authorities responsible for its implementation and management.…”

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

“…Taking truck as an example, the truck turnover (TT) depends on the truck trip volume (TTV), the truck trip peak hour factor (TPHF), the truck vehicle conversion factor (TVCF), and the average truck trip distance (ATTD), as shown in Equation (4). TVCF is introduced to convert trucks into standard vehicles for calculation, as the impact of the truck on congestion can be equivalent to the impact of several private cars [50,53]. Days and orders of magnitude are also considered for the model.…”

“…RC is defined to be the vehicles turnover of the urban roads. Average speed (AS), defined as the average speed of the road networks in the peak hour, is one of the main indicators of urban traffic characteristics, which can be calculated by Equation (9) [50,54].…”

“…Sustainability 2019, 11, x FOR PEER REVIEW 11 of 22 PM from vehicle exhaust is considered the unhealthiest pollutant in metropolitan areas, such as PM2.5 and PM10. Trucks are the main potential source of PM pollution, and the PM emissions can be calculated by the vehicle kilometers travelled (VKT) [50]. In addition, the PM emissions are also influenced by the emission factor (EF), which has been changed from Euro III to V. The variable of the PM emissions (PME) is depicted in Equation 16.…”

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