TY - JOUR
T1 - Human mobility data and analysis for urban resilience
T2 - A systematic review
AU - Haraguchi, Masahiko
AU - Nishino, Akihiko
AU - Kodaka, Akira
AU - Allaire, Maura
AU - Lall, Upmanu
AU - Kuei-Hsien, Liao
AU - Onda, Kaya
AU - Tsubouchi, Kota
AU - Kohtake, Naohiko
N1 - Funding Information:
We would like to thank the insightful suggestions and feedback from reviewers. We appreciate financial support from our funding agencies. We also would like to thank Bernadette Joy Detera for English language editing.
Publisher Copyright:
© The Author(s) 2022.
PY - 2022/6
Y1 - 2022/6
N2 - 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.
AB - 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.
KW - Human mobility
KW - disaster resilience
KW - location information
KW - mobile phone data
KW - systematic review
UR - http://www.scopus.com/inward/record.url?scp=85129048851&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=85129048851&partnerID=8YFLogxK
U2 - 10.1177/23998083221075634
DO - 10.1177/23998083221075634
M3 - Article
AN - SCOPUS:85129048851
SN - 2399-8083
VL - 49
SP - 1507
EP - 1535
JO - Environment and Planning B: Urban Analytics and City Science
JF - Environment and Planning B: Urban Analytics and City Science
IS - 5
ER -
