了解分散的工作空间和混合工作在缓解城市中心压力和促进城市可持续性方面的作用

IF 12 1区 工程技术 Q1 CONSTRUCTION & BUILDING TECHNOLOGY
Hamza Zubair , Susilawati Susilawati , Amin Talei , Ziyuan Pu
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引用次数: 0

摘要

对混合工作和旅行行为的研究表明,其对交通系统的影响尚无定论。研究探索了混合工作与混合土地利用之间的关系。然而,居住和工作地点之间的空间动态、土地使用偏好以及混合工人的空间需求,如联合办公空间(cws)的最佳位置,仍未得到充分研究。此外,通过将混合动力工人从市中心重新分配到周边地区,减少车辆行驶里程(VMT)和拥堵的潜力仍未得到探索。因此,本研究调查了不同工作安排对通勤模式、VMT和不同地点分散工作空间的空间需求的影响。它还研究了不同地理环境下的工作和非工作旅行,并提出了政策策略,以最大限度地提高混合工作的好处。k -均值聚类和多项回归模型用于分析2023年6月10日至7月20日在马来西亚大吉隆坡收集的数据。研究结果表明,混合型员工可能会减少VMT,但其有效性取决于居住地点、通勤模式和员工概况。在集群2的半城市混合工人和集群1的基于cbd的现场工人中,非工作旅行明显更高。在半城市地区推广混合工作和分散的cws可以减少到市中心的通勤流量,降低车辆行驶里程,并支持更多样化的劳动力。研究结果强调了针对具体情况的混合工作和CWS战略的必要性,为政策制定者和规划者提供了宝贵的见解,以支持可持续的城市交通。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Understanding the role of decentralised workspaces and hybrid working in alleviating city centre pressure and promoting urban sustainability
Research on hybrid working and travel behaviour has shown inconclusive findings regarding its impact on the transport system. Studies have explored the association between hybrid work and mixed land use. Nevertheless, the spatial dynamics between residential and workplace locations, land use preferences, and the spatial needs of hybrid workers, such as the optimal location for coworking spaces (CWSs), remain under-investigated. Additionally, the potential to reduce vehicle miles travelled (VMT) and congestion through the spatial redistribution of hybrid workers from the city centre to peripheral zones remains unexplored. Therefore, this study investigates the impact of various working arrangements on commuting patterns, VMT, and spatial demand for decentralised workspaces across different locations. It also examines work and non-work trips across various geographic contexts and proposes policy strategies to maximise the benefits of hybrid working.
K-means clustering and a multinomial regression model are used to analyse data collected from Greater Kuala Lumpur, Malaysia, from 10 June to 20 July 2023. The results reveal that hybrid workers might reduce VMT, but their effectiveness depends on residential location, commuting patterns, and worker profiles. Non-work travel is significantly higher among semi-urban hybrid workers in Cluster 2 and CBD-based on-site workers in Cluster 1. Promoting hybrid work and decentralised CWSs in semi-urban areas may reduce commuter flows to the city centre, lower VMT, and support a more diverse workforce. The findings highlight the need for context-specific hybrid work and CWS strategies, offering valuable insights for policymakers and planners to support sustainable urban mobility.
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来源期刊
Sustainable Cities and Society
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;
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