Risk assessment of snow disaster for trunk highway transportation in Shaanxi, China View Full Text


Ontology type: schema:ScholarlyArticle     


Article Info

DATE

2017-01

AUTHORS

Hong-liang Qi, Wei-ping Tian, Fei Zhao

ABSTRACT

Highway transportation was seriously affected by the rare 2008 snow disaster which occurred in China. Shaanxi Province (China) was one of the most affected areas. Research on risk assessment can play an important role in the mitigation of highway snow disasters. Based on a theoretical model, an index system of highway snow cover risk assessment was put forward. This system covers hazard of environment and the vulnerability of disaster-affected entities. The historical disaster hazard and the potential disaster hazard are the two aspects considered for hazard of environment. Physical exposure of the disaster-affected entities to environment and the societal disaster recovery capabilities are considered as the main factors in the vulnerability of disaster-affected entities. Grades of indices and their weights were prompted based on the assessment model. Assessment of the hazard of environment, the vulnerability of disaster-affected entities and the risk of highway snow disaster in Shaanxi Province were carried out by GIS. The risk was divided into five grades using statistical methods in accordance with regional characteristics of highway snow disasters. A distribution of trunk highway snow disaster risks in Shaanxi was put forward. The results are consistent with actual events. More... »

PAGES

523-536

References to SciGraph publications

Identifiers

URI

http://scigraph.springernature.com/pub.10.1007/s11069-016-2584-6

DOI

http://dx.doi.org/10.1007/s11069-016-2584-6

DIMENSIONS

https://app.dimensions.ai/details/publication/pub.1001090843


Indexing Status Check whether this publication has been indexed by Scopus and Web Of Science using the SN Indexing Status Tool
Incoming Citations Browse incoming citations for this publication using opencitations.net

JSON-LD is the canonical representation for SciGraph data.

TIP: You can open this SciGraph record using an external JSON-LD service: JSON-LD Playground Google SDTT

[
  {
    "@context": "https://springernature.github.io/scigraph/jsonld/sgcontext.json", 
    "about": [
      {
        "id": "http://purl.org/au-research/vocabulary/anzsrc-for/2008/1117", 
        "inDefinedTermSet": "http://purl.org/au-research/vocabulary/anzsrc-for/2008/", 
        "name": "Public Health and Health Services", 
        "type": "DefinedTerm"
      }, 
      {
        "id": "http://purl.org/au-research/vocabulary/anzsrc-for/2008/11", 
        "inDefinedTermSet": "http://purl.org/au-research/vocabulary/anzsrc-for/2008/", 
        "name": "Medical and Health Sciences", 
        "type": "DefinedTerm"
      }
    ], 
    "author": [
      {
        "affiliation": {
          "alternateName": "Chang'an University", 
          "id": "https://www.grid.ac/institutes/grid.440661.1", 
          "name": [
            "Key Laboratory for Special Area Highway Engineering of Ministry of Education, Chang\u2019an University, 710064, Xi\u2019an, Shaanxi, China"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Qi", 
        "givenName": "Hong-liang", 
        "id": "sg:person.01125124123.18", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01125124123.18"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "Chang'an University", 
          "id": "https://www.grid.ac/institutes/grid.440661.1", 
          "name": [
            "Key Laboratory for Special Area Highway Engineering of Ministry of Education, Chang\u2019an University, 710064, Xi\u2019an, Shaanxi, China"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Tian", 
        "givenName": "Wei-ping", 
        "id": "sg:person.01173237323.75", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01173237323.75"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "Chang'an University", 
          "id": "https://www.grid.ac/institutes/grid.440661.1", 
          "name": [
            "Key Laboratory for Special Area Highway Engineering of Ministry of Education, Chang\u2019an University, 710064, Xi\u2019an, Shaanxi, China", 
            "Xi\u2019an Highway Administration, 710003, Xi\u2019an, Shaanxi, China"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Zhao", 
        "givenName": "Fei", 
        "type": "Person"
      }
    ], 
    "citation": [
      {
        "id": "https://doi.org/10.3390/ijerph121113861", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1030845706"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1007/s00477-007-0181-7", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1042684990", 
          "https://doi.org/10.1007/s00477-007-0181-7"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1007/s00477-007-0181-7", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1042684990", 
          "https://doi.org/10.1007/s00477-007-0181-7"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://app.dimensions.ai/details/publication/pub.1077636432", 
        "type": "CreativeWork"
      }
    ], 
    "datePublished": "2017-01", 
    "datePublishedReg": "2017-01-01", 
    "description": "Highway transportation was seriously affected by the rare 2008 snow disaster which occurred in China. Shaanxi Province (China) was one of the most affected areas. Research on risk assessment can play an important role in the mitigation of highway snow disasters. Based on a theoretical model, an index system of highway snow cover risk assessment was put forward. This system covers hazard of environment and the vulnerability of disaster-affected entities. The historical disaster hazard and the potential disaster hazard are the two aspects considered for hazard of environment. Physical exposure of the disaster-affected entities to environment and the societal disaster recovery capabilities are considered as the main factors in the vulnerability of disaster-affected entities. Grades of indices and their weights were prompted based on the assessment model. Assessment of the hazard of environment, the vulnerability of disaster-affected entities and the risk of highway snow disaster in Shaanxi Province were carried out by GIS. The risk was divided into five grades using statistical methods in accordance with regional characteristics of highway snow disasters. A distribution of trunk highway snow disaster risks in Shaanxi was put forward. The results are consistent with actual events.", 
    "genre": "research_article", 
    "id": "sg:pub.10.1007/s11069-016-2584-6", 
    "inLanguage": [
      "en"
    ], 
    "isAccessibleForFree": false, 
    "isPartOf": [
      {
        "id": "sg:journal.1050117", 
        "issn": [
          "0921-030X", 
          "1573-0840"
        ], 
        "name": "Natural Hazards", 
        "type": "Periodical"
      }, 
      {
        "issueNumber": "1", 
        "type": "PublicationIssue"
      }, 
      {
        "type": "PublicationVolume", 
        "volumeNumber": "85"
      }
    ], 
    "name": "Risk assessment of snow disaster for trunk highway transportation in Shaanxi, China", 
    "pagination": "523-536", 
    "productId": [
      {
        "name": "readcube_id", 
        "type": "PropertyValue", 
        "value": [
          "053263455ff6b6398596007a8e0c60faff337cd790d7b0444d67bb4dd1cc4a83"
        ]
      }, 
      {
        "name": "doi", 
        "type": "PropertyValue", 
        "value": [
          "10.1007/s11069-016-2584-6"
        ]
      }, 
      {
        "name": "dimensions_id", 
        "type": "PropertyValue", 
        "value": [
          "pub.1001090843"
        ]
      }
    ], 
    "sameAs": [
      "https://doi.org/10.1007/s11069-016-2584-6", 
      "https://app.dimensions.ai/details/publication/pub.1001090843"
    ], 
    "sdDataset": "articles", 
    "sdDatePublished": "2019-04-11T12:24", 
    "sdLicense": "https://scigraph.springernature.com/explorer/license/", 
    "sdPublisher": {
      "name": "Springer Nature - SN SciGraph project", 
      "type": "Organization"
    }, 
    "sdSource": "s3://com-uberresearch-data-dimensions-target-20181106-alternative/cleanup/v134/2549eaecd7973599484d7c17b260dba0a4ecb94b/merge/v9/a6c9fde33151104705d4d7ff012ea9563521a3ce/jats-lookup/v90/0000000362_0000000362/records_87100_00000000.jsonl", 
    "type": "ScholarlyArticle", 
    "url": "https://link.springer.com/10.1007%2Fs11069-016-2584-6"
  }
]
 

Download the RDF metadata as:  json-ld nt turtle xml License info

HOW TO GET THIS DATA PROGRAMMATICALLY:

JSON-LD is a popular format for linked data which is fully compatible with JSON.

curl -H 'Accept: application/ld+json' 'https://scigraph.springernature.com/pub.10.1007/s11069-016-2584-6'

N-Triples is a line-based linked data format ideal for batch operations.

curl -H 'Accept: application/n-triples' 'https://scigraph.springernature.com/pub.10.1007/s11069-016-2584-6'

Turtle is a human-readable linked data format.

curl -H 'Accept: text/turtle' 'https://scigraph.springernature.com/pub.10.1007/s11069-016-2584-6'

RDF/XML is a standard XML format for linked data.

curl -H 'Accept: application/rdf+xml' 'https://scigraph.springernature.com/pub.10.1007/s11069-016-2584-6'


 

This table displays all metadata directly associated to this object as RDF triples.

84 TRIPLES      21 PREDICATES      30 URIs      19 LITERALS      7 BLANK NODES

Subject Predicate Object
1 sg:pub.10.1007/s11069-016-2584-6 schema:about anzsrc-for:11
2 anzsrc-for:1117
3 schema:author N0b7e196f05c5478ca9aeae5f10e8103d
4 schema:citation sg:pub.10.1007/s00477-007-0181-7
5 https://app.dimensions.ai/details/publication/pub.1077636432
6 https://doi.org/10.3390/ijerph121113861
7 schema:datePublished 2017-01
8 schema:datePublishedReg 2017-01-01
9 schema:description Highway transportation was seriously affected by the rare 2008 snow disaster which occurred in China. Shaanxi Province (China) was one of the most affected areas. Research on risk assessment can play an important role in the mitigation of highway snow disasters. Based on a theoretical model, an index system of highway snow cover risk assessment was put forward. This system covers hazard of environment and the vulnerability of disaster-affected entities. The historical disaster hazard and the potential disaster hazard are the two aspects considered for hazard of environment. Physical exposure of the disaster-affected entities to environment and the societal disaster recovery capabilities are considered as the main factors in the vulnerability of disaster-affected entities. Grades of indices and their weights were prompted based on the assessment model. Assessment of the hazard of environment, the vulnerability of disaster-affected entities and the risk of highway snow disaster in Shaanxi Province were carried out by GIS. The risk was divided into five grades using statistical methods in accordance with regional characteristics of highway snow disasters. A distribution of trunk highway snow disaster risks in Shaanxi was put forward. The results are consistent with actual events.
10 schema:genre research_article
11 schema:inLanguage en
12 schema:isAccessibleForFree false
13 schema:isPartOf N333a1093f3ba4fdf8bb46b64b4e12fb0
14 Nb822930e691a49f68cc6c7b23714aa5c
15 sg:journal.1050117
16 schema:name Risk assessment of snow disaster for trunk highway transportation in Shaanxi, China
17 schema:pagination 523-536
18 schema:productId N34f7ddf137094c2494448dc4a394dcc4
19 N5d0471f27c51478ea9b154ff74877dd2
20 N5ed0d686121d490e849330c0e59dea42
21 schema:sameAs https://app.dimensions.ai/details/publication/pub.1001090843
22 https://doi.org/10.1007/s11069-016-2584-6
23 schema:sdDatePublished 2019-04-11T12:24
24 schema:sdLicense https://scigraph.springernature.com/explorer/license/
25 schema:sdPublisher Nbe59c38927df417197f970fc5cf3d4dd
26 schema:url https://link.springer.com/10.1007%2Fs11069-016-2584-6
27 sgo:license sg:explorer/license/
28 sgo:sdDataset articles
29 rdf:type schema:ScholarlyArticle
30 N0b7e196f05c5478ca9aeae5f10e8103d rdf:first sg:person.01125124123.18
31 rdf:rest Nfbcc096358954890bce0876ea741fcda
32 N333a1093f3ba4fdf8bb46b64b4e12fb0 schema:volumeNumber 85
33 rdf:type schema:PublicationVolume
34 N34f7ddf137094c2494448dc4a394dcc4 schema:name readcube_id
35 schema:value 053263455ff6b6398596007a8e0c60faff337cd790d7b0444d67bb4dd1cc4a83
36 rdf:type schema:PropertyValue
37 N51f2574780034d309e1aab2a9bbe35db rdf:first Ne29e889d2bfd4faba58cd4fd1a0992ea
38 rdf:rest rdf:nil
39 N5d0471f27c51478ea9b154ff74877dd2 schema:name doi
40 schema:value 10.1007/s11069-016-2584-6
41 rdf:type schema:PropertyValue
42 N5ed0d686121d490e849330c0e59dea42 schema:name dimensions_id
43 schema:value pub.1001090843
44 rdf:type schema:PropertyValue
45 Nb822930e691a49f68cc6c7b23714aa5c schema:issueNumber 1
46 rdf:type schema:PublicationIssue
47 Nbe59c38927df417197f970fc5cf3d4dd schema:name Springer Nature - SN SciGraph project
48 rdf:type schema:Organization
49 Ne29e889d2bfd4faba58cd4fd1a0992ea schema:affiliation https://www.grid.ac/institutes/grid.440661.1
50 schema:familyName Zhao
51 schema:givenName Fei
52 rdf:type schema:Person
53 Nfbcc096358954890bce0876ea741fcda rdf:first sg:person.01173237323.75
54 rdf:rest N51f2574780034d309e1aab2a9bbe35db
55 anzsrc-for:11 schema:inDefinedTermSet anzsrc-for:
56 schema:name Medical and Health Sciences
57 rdf:type schema:DefinedTerm
58 anzsrc-for:1117 schema:inDefinedTermSet anzsrc-for:
59 schema:name Public Health and Health Services
60 rdf:type schema:DefinedTerm
61 sg:journal.1050117 schema:issn 0921-030X
62 1573-0840
63 schema:name Natural Hazards
64 rdf:type schema:Periodical
65 sg:person.01125124123.18 schema:affiliation https://www.grid.ac/institutes/grid.440661.1
66 schema:familyName Qi
67 schema:givenName Hong-liang
68 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01125124123.18
69 rdf:type schema:Person
70 sg:person.01173237323.75 schema:affiliation https://www.grid.ac/institutes/grid.440661.1
71 schema:familyName Tian
72 schema:givenName Wei-ping
73 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01173237323.75
74 rdf:type schema:Person
75 sg:pub.10.1007/s00477-007-0181-7 schema:sameAs https://app.dimensions.ai/details/publication/pub.1042684990
76 https://doi.org/10.1007/s00477-007-0181-7
77 rdf:type schema:CreativeWork
78 https://app.dimensions.ai/details/publication/pub.1077636432 schema:CreativeWork
79 https://doi.org/10.3390/ijerph121113861 schema:sameAs https://app.dimensions.ai/details/publication/pub.1030845706
80 rdf:type schema:CreativeWork
81 https://www.grid.ac/institutes/grid.440661.1 schema:alternateName Chang'an University
82 schema:name Key Laboratory for Special Area Highway Engineering of Ministry of Education, Chang’an University, 710064, Xi’an, Shaanxi, China
83 Xi’an Highway Administration, 710003, Xi’an, Shaanxi, China
84 rdf:type schema:Organization
 




Preview window. Press ESC to close (or click here)


...