Preprint Article Version 1 Preserved in Portico This version is not peer-reviewed

Developing Participatory Analytics Techniques to Inform the Prioritization of Cycling Infrastructure

Version 1 : Received: 29 November 2021 / Approved: 2 December 2021 / Online: 2 December 2021 (11:42:25 CET)

A peer-reviewed article of this Preprint also exists.

Lock, O.; Pettit, C. Developing Participatory Analytics Techniques to Inform the Prioritisation of Cycling Infrastructure. ISPRS Int. J. Geo-Inf. 2022, 11, 78. Lock, O.; Pettit, C. Developing Participatory Analytics Techniques to Inform the Prioritisation of Cycling Infrastructure. ISPRS Int. J. Geo-Inf. 2022, 11, 78.

Journal reference: ISPRS Int. J. Geo-Inf. 2022, 11, 78
DOI: 10.3390/ijgi11020078

Abstract

The planning of bicycle infrastructure across our cities remains is a complex task involving many key stakeholders including the community, who traditionally have had limited involvement in the planning process. This research develops an interactive bicycle prioritisation index tool which includes participatory spatial and textual citizen feedback. The research involves three components. Firstly, a survey of current cyclists in Sydney, their current level of participation, priorities in investment in cycling, and preferred locations for cycling infrastructure. Secondly, it documents the development of an interactive digital bicycle planning tool which is informed through citizen feedback. Thirdly, it evaluates the approach in conversation with potential end-users, including government, planning practitioners, and advocacy group members. The research proposes the combination of multiple passive and active data traces with end-user evaluation to legitimise the citizen co-design of bicycle investment prioritisation initiatives. A case study approach has been taken, focusing on the city of Sydney, Australia. The bicycle planning support system can be used by cities when engaging in cycle prioritisation initiatives, particularly with a focus on integrating citizen feedback and navigating new and complex data landscapes introduced through recent, passively collected big data sets.

Keywords

active transport; PPGIS; planning support systems; infrastructure prioritisation; bicycle planning; public participation

Subject

ARTS & HUMANITIES, Architecture and Design

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