Human mobility data and analysis for urban resilience: A systematic review

Abstract

The impacts of disasters are increasing due to climate change and unplanned urbanization. Big and open data offer considerable potential for analyzing and predicting human mobility during disaster events, including the COVID-19 pandemic, leading to better disaster risk reduction (DRR) planning. However, the value of human mobility data and analysis (HMDA) in urban resilience research is poorly understood. This review highlights key opportunities for and challenges hindering the use of HMDA in DRR in urban planning and risk science, as well as insights from practitioners. A gap in research on HMDA for data-driven DRR planning was identified. By examining human mobility studies and their respective analytical and planning tools, this paper offers deeper insights into the challenges that must be addressed to improve the development of effective data-driven DRR planning, from data collection to implementation. In future work on HMDA, (i) the human mobility of vulnerable populations should be targeted, (ii) research should focus on disaster mitigation and prevention, (iii) analytical methods for evidence-based disaster planning should be developed, (iv) different types of data should be integrated into analyses to overcome methodological challenges, and (v) a decision-making framework should be developed for evidence-based urban planning through transdisciplinary knowledge co-production.

Metro travel and perceived COVID-19 infection risks: A case study of Hong Kong

“…For pandemic studies and learning, some studies have explored variations in the resilience of travel behaviors of dynamic urban (sub)systems across different periods of the crisis. The changes in travel behaviors reflect instability in human responses to the changing pandemic situation and government orders, e.g., work-from-home and bans on social gatherings ( Haraguchi et al, 2022 ; Thombre & Agarwal, 2021 ).…”

“…The existing scholarship has considered both the local short-term recovery ( Beck & Hensher, 2020 ) and the path to the future ( Forsyth, 2020 ; Hensher et al, 2021 ; Pierantoni et al, 2020 ). In this scholarship, people's travel behavior has been a recurrent topic, which has a lot to do with human activity dynamics and adaption amid COVID-19 ( Haraguchi et al, 2022 ; Schlosser et al, 2020 ; Wang et al, 2022a ). Increased perceived infection risks and non-pharmaceutical measures, such as work-from-home mandates and school closures, have significantly affected people's travel behaviors, which can be measured by indicators such as mode choice and trip frequencies.…”

Smart cities and climate-resilient urban planning

“…However, there has been limited attention to the value and utility of 'human mobility data and analysis' in the context of urban resilience. Haraguchi et al (2022) highlight this gap and argue that further integration of human mobility data into disaster risk reduction policies is critical for mainstreaming urban resilience. In addition to discussing opportunities for such integration, they highlight key challenges that need to be addressed.…”

Defining Co-Production: A Review of the Planning Literature

“…Indeed, the result of a Web of Science (hereinafter WoS) search suggests that the majority of review papers on co-production are from environment-related sciences, medicine/healthcare, business and public administration/management. There are five review papers identified from the planning field (Falco und Kleinhans 2018; Raymond, Giusti and Barthel 2018; Rizzo, Habibipour and Stahlbrost 2021; Haraguchi et al 2022; Bayuo, Chaminade and Goransson 2020), yet they are written in relation to mobility, digital participation, cultural ecosystem services, urban living labs and the role of universities, rather than defining the concept in the planning field.…”