Application of a Geographic Information System to Analyze Traffic Accidents Using Nantou County, Taiwan, as an Example View Full Text


Ontology type: schema:ScholarlyArticle     


Article Info

DATE

2018-11-02

AUTHORS

Jau-Ming Su, Yu-Ming Wang, Chih-hung Chang, Pei-Ju Wu

ABSTRACT

sA geographic information system (GIS) is a commonly used method for analyzing traffic accidents. Through a GIS, data regarding traffic accidents can be presented visually, and traffic accident locations can be analyzed. By identifying locations where traffic accidents frequently occur and highway sections with high accident rates, traffic authorities can adopt preventive measures and enforce traffic regulations to reduce the frequency of traffic accidents, deaths, injuries, and financial losses. The present study analyzed tourist traffic accidents in Nantou County, one of the most popular tourist areas in Taiwan for domestic and international travelers, and tabulated statistical data that were subsequently input into a GIS database to determine dangerous locations and areas where traffic accidents are prone to occur. First, administrative regions in Nantou County were identified and kernel density estimation and repeatability analysis were performed to determine locations with high accident rates. The results showed that in Nantou County, traffic accidents often occur between 12:00 and 18:00 at intersections and on sloped roads and windy roads. The most dangerous locations were Provincial Highway 21 (areas around Sun Moon Lake) and Provincial Highway 14A (areas with access to Qingjing and Hehuanshan). The results of this study could serve as a reference for traffic authorities to develop measures for preventing and regulating traffic accidents. More... »

PAGES

101-111

References to SciGraph publications

  • 2016-02-03. Identification of Black Spots on Highway with Kernel Density Estimation Method in JOURNAL OF THE INDIAN SOCIETY OF REMOTE SENSING
  • Identifiers

    URI

    http://scigraph.springernature.com/pub.10.1007/s12524-018-0874-z

    DOI

    http://dx.doi.org/10.1007/s12524-018-0874-z

    DIMENSIONS

    https://app.dimensions.ai/details/publication/pub.1107967632


    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/2008/09", 
            "inDefinedTermSet": "http://purl.org/au-research/vocabulary/anzsrc-for/2008/", 
            "name": "Engineering", 
            "type": "DefinedTerm"
          }, 
          {
            "id": "http://purl.org/au-research/vocabulary/anzsrc-for/2008/0909", 
            "inDefinedTermSet": "http://purl.org/au-research/vocabulary/anzsrc-for/2008/", 
            "name": "Geomatic Engineering", 
            "type": "DefinedTerm"
          }
        ], 
        "author": [
          {
            "affiliation": {
              "alternateName": "Department of Transportation and Logistics, Feng Chia University, No. 100, Wenhwa Road, Seatwen, 40724, Taichung, Taiwan, ROC", 
              "id": "http://www.grid.ac/institutes/grid.411298.7", 
              "name": [
                "Department of Transportation and Logistics, Feng Chia University, No. 100, Wenhwa Road, Seatwen, 40724, Taichung, Taiwan, ROC"
              ], 
              "type": "Organization"
            }, 
            "familyName": "Su", 
            "givenName": "Jau-Ming", 
            "type": "Person"
          }, 
          {
            "affiliation": {
              "alternateName": "Ph.D. Program of Technology Management, Chung Hua University, No. 707, Sec. 2, Wu Fu Rd., 300, Hsin Chu, Taiwan, ROC", 
              "id": "http://www.grid.ac/institutes/grid.411655.2", 
              "name": [
                "Ph.D. Program of Technology Management, Chung Hua University, No. 707, Sec. 2, Wu Fu Rd., 300, Hsin Chu, Taiwan, ROC"
              ], 
              "type": "Organization"
            }, 
            "familyName": "Wang", 
            "givenName": "Yu-Ming", 
            "type": "Person"
          }, 
          {
            "affiliation": {
              "alternateName": "Department of Transportation and Logistics, Feng Chia University, No. 100, Wenhwa Road, Seatwen, 40724, Taichung, Taiwan, ROC", 
              "id": "http://www.grid.ac/institutes/grid.411298.7", 
              "name": [
                "Department of Transportation and Logistics, Feng Chia University, No. 100, Wenhwa Road, Seatwen, 40724, Taichung, Taiwan, ROC"
              ], 
              "type": "Organization"
            }, 
            "familyName": "Chang", 
            "givenName": "Chih-hung", 
            "type": "Person"
          }, 
          {
            "affiliation": {
              "alternateName": "Department of Transportation and Logistics, Feng Chia University, No. 100, Wenhwa Road, Seatwen, 40724, Taichung, Taiwan, ROC", 
              "id": "http://www.grid.ac/institutes/grid.411298.7", 
              "name": [
                "Department of Transportation and Logistics, Feng Chia University, No. 100, Wenhwa Road, Seatwen, 40724, Taichung, Taiwan, ROC"
              ], 
              "type": "Organization"
            }, 
            "familyName": "Wu", 
            "givenName": "Pei-Ju", 
            "id": "sg:person.013276547461.46", 
            "sameAs": [
              "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.013276547461.46"
            ], 
            "type": "Person"
          }
        ], 
        "citation": [
          {
            "id": "sg:pub.10.1007/s12524-015-0500-2", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1032768890", 
              "https://doi.org/10.1007/s12524-015-0500-2"
            ], 
            "type": "CreativeWork"
          }
        ], 
        "datePublished": "2018-11-02", 
        "datePublishedReg": "2018-11-02", 
        "description": "AbstractsA geographic information system (GIS) is a commonly used method for analyzing traffic accidents. Through a GIS, data regarding traffic accidents can be presented visually, and traffic accident locations can be analyzed. By identifying locations where traffic accidents frequently occur and highway sections with high accident rates, traffic authorities can adopt preventive measures and enforce traffic regulations to reduce the frequency of traffic accidents, deaths, injuries, and financial losses. The present study analyzed tourist traffic accidents in Nantou County, one of the most popular tourist areas in Taiwan for domestic and international travelers, and tabulated statistical data that were subsequently input into a GIS database to determine dangerous locations and areas where traffic accidents are prone to occur. First, administrative regions in Nantou County were identified and kernel density estimation and repeatability analysis were performed to determine locations with high accident rates. The results showed that in Nantou County, traffic accidents often occur between 12:00 and 18:00 at intersections and on sloped roads and windy roads. The most dangerous locations were Provincial Highway 21 (areas around Sun Moon Lake) and Provincial Highway 14A (areas with access to Qingjing and Hehuanshan). The results of this study could serve as a reference for traffic authorities to develop measures for preventing and regulating traffic accidents.", 
        "genre": "article", 
        "id": "sg:pub.10.1007/s12524-018-0874-z", 
        "inLanguage": "en", 
        "isAccessibleForFree": false, 
        "isPartOf": [
          {
            "id": "sg:journal.1136874", 
            "issn": [
              "0255-660X", 
              "0974-3006"
            ], 
            "name": "Journal of the Indian Society of Remote Sensing", 
            "publisher": "Springer Nature", 
            "type": "Periodical"
          }, 
          {
            "issueNumber": "1", 
            "type": "PublicationIssue"
          }, 
          {
            "type": "PublicationVolume", 
            "volumeNumber": "47"
          }
        ], 
        "keywords": [
          "geographic information system", 
          "sloped roads", 
          "dangerous locations", 
          "traffic accident locations", 
          "windy road", 
          "traffic authorities", 
          "highway sections", 
          "accident location", 
          "GIS database", 
          "high accident rate", 
          "Nantou County", 
          "traffic accidents", 
          "accident rate", 
          "traffic regulations", 
          "popular tourist areas", 
          "road", 
          "repeatability analysis", 
          "accidents", 
          "location", 
          "system", 
          "density estimation", 
          "information systems", 
          "applications", 
          "estimation", 
          "financial losses", 
          "results", 
          "rate", 
          "area", 
          "method", 
          "tourist areas", 
          "statistical data", 
          "frequency", 
          "sections", 
          "reference", 
          "example", 
          "data", 
          "loss", 
          "analysis", 
          "intersection", 
          "region", 
          "study", 
          "present study", 
          "Taiwan", 
          "measures", 
          "administrative regions", 
          "County", 
          "authorities", 
          "preventive measures", 
          "database", 
          "regulation", 
          "travelers", 
          "injury", 
          "death", 
          "international travelers", 
          "tourist traffic accidents", 
          "Provincial Highway 21", 
          "Highway 21", 
          "Provincial Highway 14A", 
          "Highway 14A"
        ], 
        "name": "Application of a Geographic Information System to Analyze Traffic Accidents Using Nantou County, Taiwan, as an Example", 
        "pagination": "101-111", 
        "productId": [
          {
            "name": "dimensions_id", 
            "type": "PropertyValue", 
            "value": [
              "pub.1107967632"
            ]
          }, 
          {
            "name": "doi", 
            "type": "PropertyValue", 
            "value": [
              "10.1007/s12524-018-0874-z"
            ]
          }
        ], 
        "sameAs": [
          "https://doi.org/10.1007/s12524-018-0874-z", 
          "https://app.dimensions.ai/details/publication/pub.1107967632"
        ], 
        "sdDataset": "articles", 
        "sdDatePublished": "2021-11-01T18:32", 
        "sdLicense": "https://scigraph.springernature.com/explorer/license/", 
        "sdPublisher": {
          "name": "Springer Nature - SN SciGraph project", 
          "type": "Organization"
        }, 
        "sdSource": "s3://com-springernature-scigraph/baseset/20211101/entities/gbq_results/article/article_775.jsonl", 
        "type": "ScholarlyArticle", 
        "url": "https://doi.org/10.1007/s12524-018-0874-z"
      }
    ]
     

    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/s12524-018-0874-z'

    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/s12524-018-0874-z'

    Turtle is a human-readable linked data format.

    curl -H 'Accept: text/turtle' 'https://scigraph.springernature.com/pub.10.1007/s12524-018-0874-z'

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

    curl -H 'Accept: application/rdf+xml' 'https://scigraph.springernature.com/pub.10.1007/s12524-018-0874-z'


     

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

    142 TRIPLES      22 PREDICATES      85 URIs      76 LITERALS      6 BLANK NODES

    Subject Predicate Object
    1 sg:pub.10.1007/s12524-018-0874-z schema:about anzsrc-for:09
    2 anzsrc-for:0909
    3 schema:author N14fe94c93cc44c4aaf53ded838406284
    4 schema:citation sg:pub.10.1007/s12524-015-0500-2
    5 schema:datePublished 2018-11-02
    6 schema:datePublishedReg 2018-11-02
    7 schema:description AbstractsA geographic information system (GIS) is a commonly used method for analyzing traffic accidents. Through a GIS, data regarding traffic accidents can be presented visually, and traffic accident locations can be analyzed. By identifying locations where traffic accidents frequently occur and highway sections with high accident rates, traffic authorities can adopt preventive measures and enforce traffic regulations to reduce the frequency of traffic accidents, deaths, injuries, and financial losses. The present study analyzed tourist traffic accidents in Nantou County, one of the most popular tourist areas in Taiwan for domestic and international travelers, and tabulated statistical data that were subsequently input into a GIS database to determine dangerous locations and areas where traffic accidents are prone to occur. First, administrative regions in Nantou County were identified and kernel density estimation and repeatability analysis were performed to determine locations with high accident rates. The results showed that in Nantou County, traffic accidents often occur between 12:00 and 18:00 at intersections and on sloped roads and windy roads. The most dangerous locations were Provincial Highway 21 (areas around Sun Moon Lake) and Provincial Highway 14A (areas with access to Qingjing and Hehuanshan). The results of this study could serve as a reference for traffic authorities to develop measures for preventing and regulating traffic accidents.
    8 schema:genre article
    9 schema:inLanguage en
    10 schema:isAccessibleForFree false
    11 schema:isPartOf N421571b9c66040dd878fadcf0fd32264
    12 N8d4ef4b2a63e412bb0c1849307e599e8
    13 sg:journal.1136874
    14 schema:keywords County
    15 GIS database
    16 Highway 14A
    17 Highway 21
    18 Nantou County
    19 Provincial Highway 14A
    20 Provincial Highway 21
    21 Taiwan
    22 accident location
    23 accident rate
    24 accidents
    25 administrative regions
    26 analysis
    27 applications
    28 area
    29 authorities
    30 dangerous locations
    31 data
    32 database
    33 death
    34 density estimation
    35 estimation
    36 example
    37 financial losses
    38 frequency
    39 geographic information system
    40 high accident rate
    41 highway sections
    42 information systems
    43 injury
    44 international travelers
    45 intersection
    46 location
    47 loss
    48 measures
    49 method
    50 popular tourist areas
    51 present study
    52 preventive measures
    53 rate
    54 reference
    55 region
    56 regulation
    57 repeatability analysis
    58 results
    59 road
    60 sections
    61 sloped roads
    62 statistical data
    63 study
    64 system
    65 tourist areas
    66 tourist traffic accidents
    67 traffic accident locations
    68 traffic accidents
    69 traffic authorities
    70 traffic regulations
    71 travelers
    72 windy road
    73 schema:name Application of a Geographic Information System to Analyze Traffic Accidents Using Nantou County, Taiwan, as an Example
    74 schema:pagination 101-111
    75 schema:productId N2e53e07d0a614f7e9d54979bb542a2f5
    76 Nbf201a697dc4499380bc57a5d0b88d9a
    77 schema:sameAs https://app.dimensions.ai/details/publication/pub.1107967632
    78 https://doi.org/10.1007/s12524-018-0874-z
    79 schema:sdDatePublished 2021-11-01T18:32
    80 schema:sdLicense https://scigraph.springernature.com/explorer/license/
    81 schema:sdPublisher N22c45c5f6ed14df9bc7df158826a5f93
    82 schema:url https://doi.org/10.1007/s12524-018-0874-z
    83 sgo:license sg:explorer/license/
    84 sgo:sdDataset articles
    85 rdf:type schema:ScholarlyArticle
    86 N14fe94c93cc44c4aaf53ded838406284 rdf:first N167cf6fa1abb47b79eaab94f9228a962
    87 rdf:rest N63a782e582084a6da2453cda1e3d8834
    88 N167cf6fa1abb47b79eaab94f9228a962 schema:affiliation grid-institutes:grid.411298.7
    89 schema:familyName Su
    90 schema:givenName Jau-Ming
    91 rdf:type schema:Person
    92 N22c45c5f6ed14df9bc7df158826a5f93 schema:name Springer Nature - SN SciGraph project
    93 rdf:type schema:Organization
    94 N2e53e07d0a614f7e9d54979bb542a2f5 schema:name dimensions_id
    95 schema:value pub.1107967632
    96 rdf:type schema:PropertyValue
    97 N421571b9c66040dd878fadcf0fd32264 schema:volumeNumber 47
    98 rdf:type schema:PublicationVolume
    99 N61805761c0bf44e0ace5c7f59b9cdfc5 rdf:first sg:person.013276547461.46
    100 rdf:rest rdf:nil
    101 N63a782e582084a6da2453cda1e3d8834 rdf:first N8e1272a3d8f943c9bb01fb0ec9b34737
    102 rdf:rest N8366b6964bdb46f2b86e62ad4a2320f5
    103 N8366b6964bdb46f2b86e62ad4a2320f5 rdf:first Nc8d19f85c47a46b6981ef8f28d595e1f
    104 rdf:rest N61805761c0bf44e0ace5c7f59b9cdfc5
    105 N8d4ef4b2a63e412bb0c1849307e599e8 schema:issueNumber 1
    106 rdf:type schema:PublicationIssue
    107 N8e1272a3d8f943c9bb01fb0ec9b34737 schema:affiliation grid-institutes:grid.411655.2
    108 schema:familyName Wang
    109 schema:givenName Yu-Ming
    110 rdf:type schema:Person
    111 Nbf201a697dc4499380bc57a5d0b88d9a schema:name doi
    112 schema:value 10.1007/s12524-018-0874-z
    113 rdf:type schema:PropertyValue
    114 Nc8d19f85c47a46b6981ef8f28d595e1f schema:affiliation grid-institutes:grid.411298.7
    115 schema:familyName Chang
    116 schema:givenName Chih-hung
    117 rdf:type schema:Person
    118 anzsrc-for:09 schema:inDefinedTermSet anzsrc-for:
    119 schema:name Engineering
    120 rdf:type schema:DefinedTerm
    121 anzsrc-for:0909 schema:inDefinedTermSet anzsrc-for:
    122 schema:name Geomatic Engineering
    123 rdf:type schema:DefinedTerm
    124 sg:journal.1136874 schema:issn 0255-660X
    125 0974-3006
    126 schema:name Journal of the Indian Society of Remote Sensing
    127 schema:publisher Springer Nature
    128 rdf:type schema:Periodical
    129 sg:person.013276547461.46 schema:affiliation grid-institutes:grid.411298.7
    130 schema:familyName Wu
    131 schema:givenName Pei-Ju
    132 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.013276547461.46
    133 rdf:type schema:Person
    134 sg:pub.10.1007/s12524-015-0500-2 schema:sameAs https://app.dimensions.ai/details/publication/pub.1032768890
    135 https://doi.org/10.1007/s12524-015-0500-2
    136 rdf:type schema:CreativeWork
    137 grid-institutes:grid.411298.7 schema:alternateName Department of Transportation and Logistics, Feng Chia University, No. 100, Wenhwa Road, Seatwen, 40724, Taichung, Taiwan, ROC
    138 schema:name Department of Transportation and Logistics, Feng Chia University, No. 100, Wenhwa Road, Seatwen, 40724, Taichung, Taiwan, ROC
    139 rdf:type schema:Organization
    140 grid-institutes:grid.411655.2 schema:alternateName Ph.D. Program of Technology Management, Chung Hua University, No. 707, Sec. 2, Wu Fu Rd., 300, Hsin Chu, Taiwan, ROC
    141 schema:name Ph.D. Program of Technology Management, Chung Hua University, No. 707, Sec. 2, Wu Fu Rd., 300, Hsin Chu, Taiwan, ROC
    142 rdf:type schema:Organization
     




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


    ...