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Journal Article

Citation

Shah S, Jaya VM, Piludaria N. Transp. Res. Rec. 2023; 2677(4): 880-891.

Copyright

(Copyright © 2023, Transportation Research Board, National Research Council, National Academy of Sciences USA, Publisher SAGE Publishing)

DOI

10.1177/03611981221117538

PMID

unavailable

Abstract

The objective of this research was to understand key levers that enabled city, regional, and national governments to improve non-motorized transport (NMT) infrastructure during the lockdowns necessitated by the COVID-19 pandemic. The research focused primarily on cycling and adopted a case study approach focusing on three cities: Bengaluru (India), Bogota (Colombia), and London (UK). The selected cities were chosen for diversity across geographies, country income levels, and the scale of interventions. Eight key levers were identified to understand how cycling interventions can be supported, implemented, sustained, and scaled up. These included institutional and organizational arrangements; technical capacity; financing; leadership; policy and regulatory framework; plans, strategies, and technical resources; role of civil society; and communications, messaging, and outreach. The research used secondary literature reviews and key informant interviews, which were validated through an online round table. Research revealed that certain levers were necessary in initiating and continuing successful NMT interventions. These included supportive leadership, participative civil society, and adequate financial and technical capacity. Communications and outreach helped bring behavioral change amongst residents while a coordinated institutional framework and plans and strategies were necessary to sustain momentum. This research contributes to urban mobility and public administration literature in understanding processes and enablers of sustainable mobility interventions. It is relevant for cities in low- and middle-income countries beginning to focus on NMT interventions to combat climate change and public health challenges.

Keywords: CoViD-19-Road-Traffic


Language: en

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