Big-data-driven approach and scalable analysis on environmental sustainability of shared micromobility from trip to city level analysis

IF 10.5 1区工程技术 Q1 CONSTRUCTION & BUILDING TECHNOLOGY

Sustainable Cities and Society Pub Date : 2024-09-10 DOI:10.1016/j.scs.2024.105803

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引用次数: 0

Abstract

Shared e-scooters (SES) have recently gained popularity, but their environmental sustainability remains debatable. This study develops a data-driven and scalable method based on big data and data fusion from multiple sources to comprehensively analyze substitutions and the environmental impacts of SES from trip to city level analysis. Field trip transaction data in three major Swedish cities (Stockholm, Gothenburg, and Malmö) are leveraged for empirical analysis considering mode choice behavior. The results reveal that most SES trips (86.7% in Stockholm, 85.6% in Gothenburg, and 85.3% in Malmö) replace walking or public transport, while the proportion substituting private car and taxis is less than 12%. On average, each SES trip increases in ${CO}_{2 - e q}$ emissions (34.58 g in Stockholm, 21.18 g in Gothenburg, and 24.07 g in Malmö). Only a limited percentage of SES trips (19.20% in Stockholm, 24.22% in Gothenburg, and 23.94% in Malmö) and a small percentage of urban areas with SES (8.3% in Stockholm, 7.48% in Gothenburg, and 2.02% in Malmö) demonstrate positive environmental effects from SES. The substitution and environment impacts of SES vary significantly across different trips spatially and temporally, emphasizing the importance of conducting trip-level analyses. The analysis provides quantitative insights into the sustainability of SES in Nordic contexts, offering potential support for sustainable management in a variety of urban contexts.

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从出行到城市层面分析共享微型交通的环境可持续性的大数据驱动方法和可扩展分析

共享电动滑板车（SES）近来越来越受欢迎，但其环境可持续性仍有待商榷。本研究开发了一种基于大数据和多源数据融合的数据驱动和可扩展方法，从出行到城市层面分析共享电动车的替代性和对环境的影响。利用瑞典三大城市（斯德哥尔摩、哥德堡和马尔默）的实地出行交易数据，对模式选择行为进行了实证分析。结果显示，大多数 SES 出行（斯德哥尔摩为 86.7%，哥德堡为 85.6%，马尔默为 85.3%）都是以步行或公共交通替代，而以私家车和出租车替代的比例不到 12%。平均而言，每次 SES 出行都会增加二氧化碳排放量（斯德哥尔摩为 34.58 克，哥德堡为 21.18 克，马尔默为 24.07 克）。只有有限比例的 SES 行程（斯德哥尔摩为 19.20%，哥德堡为 24.22%，马尔默为 23.94%）和小比例的 SES 城市地区（斯德哥尔摩为 8.3%，哥德堡为 7.48%，马尔默为 2.02%）显示出 SES 对环境的积极影响。SES 对不同出行的替代和环境影响在空间和时间上存在显著差异，这强调了进行出行层面分析的重要性。该分析从定量角度揭示了 SES 在北欧环境中的可持续性，为各种城市环境中的可持续管理提供了潜在支持。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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来源期刊

Sustainable Cities and Society Social Sciences-Geography, Planning and Development

CiteScore

22.00

自引率

13.70%

发文量

810

审稿时长

27 days

期刊介绍： Sustainable Cities and Society (SCS) is an international journal that focuses on fundamental and applied research to promote environmentally sustainable and socially resilient cities. The journal welcomes cross-cutting, multi-disciplinary research in various areas, including: 1. Smart cities and resilient environments; 2. Alternative/clean energy sources, energy distribution, distributed energy generation, and energy demand reduction/management; 3. Monitoring and improving air quality in built environment and cities (e.g., healthy built environment and air quality management); 4. Energy efficient, low/zero carbon, and green buildings/communities; 5. Climate change mitigation and adaptation in urban environments; 6. Green infrastructure and BMPs; 7. Environmental Footprint accounting and management; 8. Urban agriculture and forestry; 9. ICT, smart grid and intelligent infrastructure; 10. Urban design/planning, regulations, legislation, certification, economics, and policy; 11. Social aspects, impacts and resiliency of cities; 12. Behavior monitoring, analysis and change within urban communities; 13. Health monitoring and improvement; 14. Nexus issues related to sustainable cities and societies; 15. Smart city governance; 16. Decision Support Systems for trade-off and uncertainty analysis for improved management of cities and society; 17. Big data, machine learning, and artificial intelligence applications and case studies; 18. Critical infrastructure protection, including security, privacy, forensics, and reliability issues of cyber-physical systems. 19. Water footprint reduction and urban water distribution, harvesting, treatment, reuse and management; 20. Waste reduction and recycling; 21. Wastewater collection, treatment and recycling; 22. Smart, clean and healthy transportation systems and infrastructure;