Patterns of emergency shelters in coastal plains a case study after the great east Japan Earthquake and Tsunami in Higashi‐Matsushima City

In large-scale disasters and the subsequent recovery process, land usage and urban spatial forms change. It is therefore important to use this process as an opportunity to create a more sustainable spatial structure. This study considers the urban spatial transformations that took place after the Great East Japan Earthquake, their causes, and accompanying issues by investigating building construction in the recovery process. The authors discovered that individual rebuilding is primarily concentrated in vacant lots within the city’s existing urbanized areas. This is likely due to the spatial impact of the urban planning and agricultural land use planning system, the area division of urbanization promotion areas, and the urbanization restricted areas, all of which were in place prior to the disaster and which have guided development. On the other hand, there are areas severely damaged by tsunami in which there has been little reconstruction of housing that was completely destroyed. The authors concluded that building reconstruction in Ishinomaki City resulted in both the formation of a high-density compact city and also very low-density urban areas.

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How do rumors spread during a crisis?

International Journal of Web Information Systems ◽

10.1108/ijwis-04-2014-0015 ◽

2014 ◽

Vol 10 (4) ◽

pp. 394-412 ◽

Cited By ~ 13

Author(s):

Mai Miyabe ◽

Akiyo Nadamoto ◽

Eiji Aramaki

Keyword(s):

Information Transmission ◽

Design Methodology ◽

Great East Japan Earthquake ◽

Data Set ◽

Rumor Spreading ◽

Content Type ◽

Rumor Propagation ◽

Disaster Situation

Purpose – This aim of this paper is to elucidate rumor propagation on microblogs and to assess a system for collecting rumor information to prevent rumor-spreading. Design/methodology/approach – We present a case study of how rumors spread on Twitter during a recent disaster situation, the Great East Japan earthquake of March 11, 2011, based on comparison to a normal situation. We specifically examine rumor disaffirmation because automatic rumor extraction is difficult. Extracting rumor-disaffirmation is easier than extracting the rumors themselves. We classify tweets in disaster situations, analyze tweets in disaster situations based on users' impressions and compare the spread of rumor tweets in a disaster situation to that in a normal situation. Findings – The analysis results showed the following characteristics of rumors in a disaster situation. The information transmission is 74.9 per cent, representing the greatest number of tweets in our data set. Rumor tweets give users strong behavioral facilitation, make them feel negative and foment disorder. Rumors of a normal situation spread through many hierarchies but the rumors of disaster situations are two or three hierarchies, which means that the rumor spreading style differs in disaster situations and in normal situations. Originality/value – The originality of this paper is to target rumors on Twitter and to analyze rumor characteristics by multiple aspects using not only rumor-tweets but also disaffirmation-tweets as an investigation object.

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Exploring spillover effects of Mobility Management: A case study on changes in electricity consumptions by the Great East Japan Earthquake

Case Studies on Transport Policy ◽

10.1016/j.cstp.2014.07.006 ◽

2015 ◽

Vol 3 (2) ◽

pp. 111-119 ◽

Cited By ~ 1

Author(s):

Makoto Chikaraishi ◽

Akimasa Fujiwara ◽

Masato Ueda ◽

Junyi Zhang

Keyword(s):

Mobility Management ◽

Spillover Effects ◽

Great East Japan Earthquake

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Rationality Analysis of Layout of Urban Earthquake Emergency Shelters Based on Remote Sensing Image, ArcGIS and WVD Methods: A Case Study of Linfen City

2016 International Conference on Smart City and Systems Engineering (ICSCSE) ◽

10.1109/icscse.2016.0026 ◽

2016 ◽

Author(s):

Yu Lixin ◽

Zhang Xiupeng ◽

Zhu Qitan ◽

Li Yamei

Keyword(s):

Remote Sensing ◽

Remote Sensing Image ◽

Emergency Shelters

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Electromagnetic Investigation of High-salinity Groundwater Zones in Coastal Plains-A Case Study of the Kujukuri Coastal Plain-

Journal of Geography (Chigaku Zasshi) ◽

10.5026/jgeography.115.3_416 ◽

2006 ◽

Vol 115 (3) ◽

pp. 416-424 ◽

Cited By ~ 6

Author(s):

Yuji MITSUHATA

Keyword(s):

Coastal Plain ◽

High Salinity ◽

Coastal Plains

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Survey of Preventable Disaster Deaths at Medical Institutions in Areas Affected by the Great East Japan Earthquake: Retrospective Survey of Medical Institutions in Miyagi Prefecture

Prehospital and Disaster Medicine ◽

10.1017/s1049023x17006501 ◽

2017 ◽

Vol 32 (5) ◽

pp. 515-522 ◽

Cited By ~ 5

Author(s):

Satoshi Yamanouchi ◽

Hiroyuki Sasaki ◽

Hisayoshi Kondo ◽

Tomohiko Mase ◽

Yasuhiro Otomo ◽

...

Keyword(s):

Organizational Support ◽

Environmental Conditions ◽

Preliminary Investigation ◽

Medical Intervention ◽

Great East Japan Earthquake ◽

Medical Resources ◽

Retrospective Survey ◽

Emergency Shelters ◽

Medical Institutions ◽

Miyagi Prefecture

AbstractIntroductionIn 2015, the authors reported the results of a preliminary investigation of preventable disaster deaths (PDDs) at medical institutions in areas affected by the Great East Japan Earthquake (2011). This initial survey considered only disaster base hospitals (DBHs) and hospitals that had experienced at least 20 patient deaths in Miyagi Prefecture (Japan); therefore, hospitals that experienced fewer than 20 patient deaths were not investigated. This was an additional study to the previous survey to better reflect PDD at hospitals across the entire prefecture.MethodOf the 147 hospitals in Miyagi Prefecture, the 14 DBHs and 82 non-DBHs that agreed to participate were included in an on-site survey. A database was created based on the medical records of 1,243 patient deaths that occurred between March 11, 2011 and April 1, 2011, followed by determination of their status as PDDs.ResultsA total of 125 cases of PDD were identified among the patients surveyed. The rate of PDD was significantly higher at coastal hospitals than inland hospitals (17.3% versus 6.3%; P<.001). Preventable disaster deaths in non-DBHs were most numerous in facilities with few general beds, especially among patients hospitalized before the disaster in hospitals with fewer than 100 beds. Categorized by area, the most frequent causes of PDD were: insufficient medical resources, disrupted lifelines, delayed medical intervention, and deteriorated environmental conditions in homes and emergency shelters in coastal areas; and were delayed medical intervention and disrupted lifelines in inland areas. Categorized by hospital function, the most frequent causes were: delayed medical intervention, deteriorated environmental conditions in homes and emergency shelters, and insufficient medical resources at DBHs; while those at non-DBHs were disrupted lifelines, insufficient medical resources, delayed medical intervention, and lack of capacity for transport within the area.Conclusion:Preventable disaster death at medical institutions in areas affected by the Great East Japan Earthquake occurred mainly at coastal hospitals with insufficient medical resources, disrupted lifelines, delayed medical intervention, and deteriorated environmental conditions in homes and emergency shelters constituting the main contributing factors. Preventing PDD, in addition to strengthening organizational support and functional enhancement of DBHs, calls for the development of business continuity plans (BCPs) for medical facilities in directly affected areas, including non-DBHs.YamanouchiS, SasakiH, KondoH, MaseT, OtomoY, KoidoY, KushimotoS. Survey of preventable disaster deaths at medical institutions in areas affected by the Great East Japan Earthquake: retrospective survey of medical institutions in Miyagi Prefecture. Prehosp Disaster Med. 2017;32(5):515–522.

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