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Action plans on the reduction of mobility energy consumption based on personal mobility activation

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  • Choi, Minje
  • Ku, DongGyun
  • Kim, Sion
  • Kwak, Juhyeon
  • Jang, Yoonjung
  • Lee, Doyun
  • Lee, Seungjae

Abstract

Personal Mobility (PM) has attracted considerable attentions as an eco-friendly mode of transportation. In Seoul, the PM penetration rate has grown by 30% annually, and the number of PM companies has been increasing. However, there is a high risk of collision against a pedestrian while riding PM vehicles on sidewalks. To create a safer operation environment, studies on the effect of PM-only lane and ways to create PM playgrounds have been conducted. A design involving a PM-only lane was presented and evaluated using the traditional travel demand modeling framework. If the PM-only lane is to be implemented, a significant number of vehicles would be converted for public transportation, and vehicle kilometers traveled would be substantially decreased. Reducing the use of automobiles is expected to contribute to environmental benefits. Moreover, by creating a PM-based playground, it can promote a safer driving environment through driving education for beginners, and data collection related to PM driving. If PM-only lane and PM-based playgrounds positively affect the deployment of PM, they could lead to the activation of public transportation uses. Environmental benefits calculated on these action plans show its effectiveness of reduction of mobility energy consumption while ensuring safety and convenience.

Suggested Citation

  • Choi, Minje & Ku, DongGyun & Kim, Sion & Kwak, Juhyeon & Jang, Yoonjung & Lee, Doyun & Lee, Seungjae, 2023. "Action plans on the reduction of mobility energy consumption based on personal mobility activation," Energy, Elsevier, vol. 263(PD).
    • Handle: RePEc:eee:energy:v:263:y:2023:i:pd:s036054422202905x
    DOI: 10.1016/j.energy.2022.126019
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    Cited by:

    1. Kwak, Juhyeon & Lee, Yongryeong & Choi, Minje & Lee, Seungjae, 2024. "Deep learning based approaches to enhance energy efficiency in autonomous driving systems," Energy, Elsevier, vol. 307(C).
    2. Elnaz Ghorbani & Tristan Fluechter & Laura Calvet & Majsa Ammouriova & Javier Panadero & Angel A. Juan, 2023. "Optimizing Energy Consumption in Smart Cities’ Mobility: Electric Vehicles, Algorithms, and Collaborative Economy," Energies, MDPI, vol. 16(3), pages 1-19, January.

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