Mô hình hồi quy xác suất chủ quan của lũ lụt sông với sự không chắc chắn tri thức: phân tích dữ liệu bảng ngắn hạn

Ardaya AB, Evers M, Ribbe L (2017) What influences disaster risk perception? Intervention measures, flood and landslide risk perception of the population living in flood risk areas in Rio de Janeiro state, Brazil. Int J Disaster Risk Reduct 25:227–237 Attems MS, Thaler T, Snel KA et al. (2020) The influence of tailored risk communication on individual adaptive behavior. Int J Disaster Risk Reduct 49:101618. https://doi.org/10.1016/j.ijdrr.2020.101618 Bodoque JM, Díez-Herrero A, Amérigo M et al. (2019) Enhancing flash flood risk perception and awareness of mitigation actions through risk communication: a pre-post survey design. J Hydrol 568:769–779 Botzen W, van den Bergh J (2012) Risk attitudes to low-probability climate change risks: WTP for flood insurance. J Econ Behav Organ 82(1):151–166. https://doi.org/10.1016/j.jebo.2012.01.005 Botzen WJW, Aerts JCJH, van den Bergh JCJM (2009) Dependence of flood risk perceptions on socioeconomic and objective risk factors. Water Resour Res. https://doi.org/10.1029/2009WR007743 Botzen WW, Kunreuther H, Michel-Kerjan E (2015) Divergence between individual perceptions and objective indicators of tail risks: evidence from floodplain residents in New York City. Judgm Decis Making 10(4):365–385 Bruine de Bruin W, Fischbeck PS, Stiber NA et al. (2002) What number is fifty-fifty?: redistributing excessive 50% responses in elicited probabilities. Risk Anal 22(4):713–723. https://doi.org/10.1111/0272-4332.00063 de Bruin WB, Fischhoff B, Millstein SG et al. (2000) Verbal and numerical expressions of probability: it’s a fifty-fifty chance. Organ Behav Human Decis Process 81(1):115–131. https://doi.org/10.1006/obhd.1999.2868 Bubeck P, Botzen WJW, Aerts JCJH (2012) A review of risk perceptions and other factors that influence flood mitigation behavior: review of flood risk perceptions. Risk Anal 32(9):1481–1495 Burningham K, Fielding J, Thrush D (2008) It’ll never happen to me: understanding public awareness of local flood risk. Disasters 32(2):216–238 Dayton CM, Macready GB (1988) Concomitant-variable latent-class models. J Am Stat Assoc 83(401):173–178 Działek J, Biernacki W, Bokwa A (2013) Challenges to social capacity building in flood-affected areas of southern Poland. Natural Hazards Earth Syst Sci 13(10):2555–2566 Ferrari S, Cribari-Neto F (2004) Beta regression for modeling rates and proportions. J Appl Stat 31(7):799–815 Fischhoff B, Bruine De Bruin W (1999) Fifty-Fifty=50%? J Behav Decis Mak 12(2):149–163 Fox CR, Rottenstreich Y (2003) Partition priming in judgment under uncertainty. Psychol Sci 14(3):195–200. https://doi.org/10.1111/1467-9280.02431 Gallagher J (2013) Learning about an infrequent event: evidence from flood insurance take-up in the US. SSRN Electron J. https://doi.org/10.2139/ssrn.3078097 Geospatial Information Authority of Japan (2020) Inundation navigation (in Japanese). https://suiboumap.gsi.go.jp/pdf/Data-riyo_manual.pdf Heidenreich A, Masson T, Bamberg S (2020) Let’s talk about flood risk—evaluating a series of workshops on private flood protection. Int J Disas Risk Reduct 50:101880. https://doi.org/10.1016/j.ijdrr.2020.101880 Hotelling H (1940) The selection of variates for use in prediction with some comments on the general problem of nuisance parameters. Ann Math Stat 11(3):271–283 Ikegai M, Hidaka K, Masuda S (2023). Short-term panel data analysis of the effect of flood risk communication on individual evacuation decisions. https://doi.org/10.21203/rs.3.rs-3254909/v1 IPCC (2012) Managing the risks of extreme events and disasters to advance climate change adaptation. Tech Rep Kakimoto R, Ueno Y, Yoshida M (2016) The study of disaster risk perception paradox based on protection motivation theory. Infrastruct Plan Manag 72(5):51–63. https://doi.org/10.2208/jscejipm.72.I_51 Kellens W, Zaalberg R, Neutens T et al. (2011) An analysis of the public perception of flood risk on the Belgian coast. Risk Anal Int J 31(7):1055–1068 Kellens W, Terpstra T, De Maeyer P (2013) Perception and communication of flood risks: a systematic review of empirical research. Risk Anal Int J 33(1):24–49 Kieschnick R, McCullough BD (2003) Regression analysis of variates observed on (0, 1): percentages, proportions and fractions. Stat Model 3(3):193–213. https://doi.org/10.1191/1471082X03st053oa Kono T, Okuno M, Yamaura K (2022) Regional differences in cognitive dissonance in evacuation behavior at the time of the 2011 Japan earthquake and tsunami. Natural Hazards 111(1):139–162. https://doi.org/10.1007/s11069-021-05047-3 Koto City (2016) Koto city flood hazard map. https://www.city.koto.lg.jp/470601/20200701.html Lechowska E (2018) What determines flood risk perception? A review of factors of flood risk perception and relations between its basic elements. Natural Hazards 94(3):1341–1366. https://doi.org/10.1007/s11069-018-3480-z Lechowska E (2022) Approaches in research on flood risk perception and their importance in flood risk management: a review. Natural Hazards 111(3):2343–2378. https://doi.org/10.1007/s11069-021-05140-7 Lee D, Yoon S, Park ES et al. (2018) Factors contributing to disaster evacuation: the case of South Korea. Sustainability 10(10):3818 Lindell MK, Hwang SN (2008) Households’ perceived personal risk and responses in a multihazard environment. Risk Anal Int J 28(2):539–556 Merz B, Thieken AH (2005) Separating natural and epistemic uncertainty in flood frequency analysis. J Hydrol 309(1–4):114–132 Okumura M, Tsukai M, Shimoaraiso T (2001) Reliance on disastar warning and responses. Infrastruct Plan Rev 18:311–316. https://doi.org/10.2208/journalip.18.311 O’Neill E, Brereton F, Shahumyan H et al. (2016) The impact of perceived flood exposure on flood-risk perception: the role of distance. Risk Anal 36(11):2158–2186 Raaijmakers R, Krywkow J, van der Veen A (2008) Flood risk perceptions and spatial multi-criteria analysis: an exploratory research for hazard mitigation. Natural Hazards 46(3):307–322. https://doi.org/10.1007/s11069-007-9189-z Rheinberger CM, Hammitt JK (2018) Dinner with bayes: on the revision of risk beliefs. J Risk Uncertain 57(3):253–280. https://doi.org/10.1007/s11166-018-9294-2 Rogers RW (1975) A protection motivation theory of fear appeals and attitude change1. J Psychol 91(1):93–114 Rollason E, Bracken LJ, Hardy RJ et al. (2018) Rethinking flood risk communication. Natural Hazards 92(3):1665–1686. https://doi.org/10.1007/s11069-018-3273-4 Royal A, Walls M (2019) Flood risk perceptions and insurance choice: do decisions in the floodplain reflect overoptimism? Risk Anal 39(5):1088–1104. https://doi.org/10.1111/risa.13240 Rufat S, Botzen WW (2022) Drivers and dimensions of flood risk perceptions: revealing an implicit selection bias and lessons for communication policies. Glob Environ Change 73:102465 Simas AB, Barreto-Souza W, Rocha AV (2010) Improved estimators for a general class of beta regression models. Comput Stat Data Anal 54(2):348–366 Smithson M, Segale C (2009) Partition Priming in Judgments of Imprecise Probabilities. J Stat Theory Pract 3(1):169–181. https://doi.org/10.1080/15598608.2009.10411918 Smithson M, Merkle EC, Verkuilen J (2011) Beta regression finite mixture models of polarization and priming. J Educ Behav Stat 36(6):804–831. https://doi.org/10.3102/1076998610396893 Swiler LP, Paez TL, Mayes RL (2009) Epistemic uncertainty quantification tutorial. In: Proceedings of the 27th international modal analysis conference Terpstra T, Lindell MK, Gutteling JM (2009) Does communicating (flood) risk affect (flood) risk perceptions? Results of a quasi-experimental study. Risk Anal Int J 29(8):1141–1155 Thistlethwaite J, Henstra D, Brown C et al. (2018) How flood experience and risk perception influences protective actions and behaviors among Canadian Homeowners. Environ Manag 61(2):197–208. https://doi.org/10.1007/s00267-017-0969-2 Verkuilen J, Smithson M (2012) Mixed and mixture regression models for continuous bounded responses using the beta distribution. J Educ Behav Stat 37(1):82–113. https://doi.org/10.3102/1076998610396895 Viscusi WK (1989) Prospective reference theory: toward an explanation of the paradoxes. J Risk Uncertain 2:235–263 Viscusi WK, O’Connor CJ (1984) Adaptive responses to chemical labeling: are workers Bayesian decision makers? Am Econ Rev 74(5):942–956 Wachinger G, Renn O, Begg C et al. (2013) The risk perception paradox-implications for governance and communication of natural hazards: the risk perception paradox. Risk Anal 33(6):1049–1065. https://doi.org/10.1111/j.1539-6924.2012.01942.x Yamada F, Kakimoto R, Yamamoto M et al. (2011) Implementation of community flood risk communication in Kumamoto Japan. J Adv Transport 45(2):117–128 Zeigler DJ, Brunn SD, Johnson Jr JH (1981) Evacuation from a nuclear technological disaster. Geographical review pp 1–16. https://www.jstor.org/stable/214548, publisher: JSTOR Zhang Y, Hwang SN, Lindell MK (2010) Hazard proximity or risk perception? Evaluating effects of natural and technological hazards on housing values. Environ Behav 42(5):597–624