Abstract
In this chapter we will build an Agent-Based Model (ABM) to forecast the bus-sharing rate in urban area by simulating households’ commuting behaviors. The behaviors will be influenced by agent’s attributes and interact between each household agent. The policy effects of Transportation Development Management (TDM) strategy will be simulated through policy scenario design and analysis. We designed three scenarios according to the real public transportation development status and problems in case study area. The measures that proposed by scenarios will influence on households’ commuting choices through directly effects on agents’ utility evaluation on whether choosing bus for commuting in the model. Finally, it is found that within the three scenarios of bike-sharing area control, improve bus service and improve the bus station environment, the last measure shows the weakest effects on improving the bus sharing rate. In the meantime, it is found that the waiting time of households at bus station have a great influence on their decision on choosing bus for commuting or not. We also found that the bus sharing rate could be significantly improved through controlling of bike-sharing areas.
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Ma, Y., Shen, Z. (2022). Agent-Based Simulation on Residents’ Travel Mode Choice for Local Transportation Development Strategy. In: Strategic Spatial Planning Support System for Sustainable Development. Advances in Geographic Information Science. Springer, Cham. https://doi.org/10.1007/978-3-031-07543-8_6
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