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无桩化、审美治理与城市“微出行乱象”

Docklessness, aesthetic governance, and the urban 'micromobility mess'.

作者信息

Leszczynski Agnieszka, Cinnamon Jonathan, Asa Suzi, Jahiu Lindi

机构信息

Western University, Canada.

University of British Columbia Okanagan, Canada.

出版信息

Urban Stud. 2025 Feb 25;62(12):2508-2525. doi: 10.1177/00420980251316773. eCollection 2025 Sep.


DOI:10.1177/00420980251316773
PMID:40809957
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC12342396/
Abstract

Dockless micromobility sharing systems have wrought significant visual changes to urban streetscapes worldwide. These changes are often described in terms of the 'mess' of micromobility, characterised by dockless vehicles abandoned in roadways, sidewalks, and recreational paths, tossed into waterways, and graffitied, burned, and otherwise vandalised. In this paper, we argue that efforts to govern this dockless micromobility mess - which most frequently comes in the form of parking regulations - effectively impose and enforce normative visual order on the cityscape. Based on an analysis of primary image data and publicly available documents, we identify that efforts at governing docklessness also have the effect of governing the aesthetics of urban space in three ways: through (1) (e.g. parking corrals and mats, app interfaces); (2) linked strategies of (digital image capture and assessment) and (the use of AI and machine learning); and (3) (e.g. impounds and bikeshare graveyards). We discuss the implications of the aesthetic effects of micromobility governance for docklessness itself and the utilisation of dockless micromobilities and potential impacts on transportation equity and sustainability, and most significantly, for the right to the city.

摘要

无桩微出行共享系统给全球城市街道景观带来了显著的视觉变化。这些变化常被描述为微出行的“乱象”,其特征是无桩车辆被丢弃在道路、人行道和休闲小径上,被扔进水道,还被涂鸦、焚烧以及遭受其他形式的破坏。在本文中,我们认为,管理这种无桩微出行乱象的努力——最常见的形式是停车规定——有效地在城市景观中施加并执行了规范性的视觉秩序。基于对原始图像数据和公开文件的分析,我们发现管理无桩状态的努力还通过以下三种方式对城市空间美学产生影响:(1) (例如停车围栏和地垫、应用程序界面);(2) (数字图像捕捉和评估)与 (人工智能和机器学习的应用)相结合的策略;以及(3) (例如扣押和共享单车坟场)。我们讨论了微出行治理的美学效果对无桩状态本身、无桩微出行的使用以及对交通公平性和可持续性的潜在影响,最重要的是,对城市权的影响。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/4342/12342396/3808fd3d5b2b/10.1177_00420980251316773-fig2.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/4342/12342396/b2a488e4ab6f/10.1177_00420980251316773-fig1.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/4342/12342396/3808fd3d5b2b/10.1177_00420980251316773-fig2.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/4342/12342396/b2a488e4ab6f/10.1177_00420980251316773-fig1.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/4342/12342396/3808fd3d5b2b/10.1177_00420980251316773-fig2.jpg

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本文引用的文献

[1]
Deep Learning for Computer Vision: A Brief Review.

Comput Intell Neurosci. 2018-2-1

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