The Application of GIS in Education Administration View Full Text


Ontology type: schema:Chapter     


Chapter Info

DATE

2011-02-09

AUTHORS

Fatemeh Ahmadi Nejad Masouleh , Yuji Murayama , Todd Wendell Rho’Dess

ABSTRACT

Though enrolment by proximity is an official educational policy in Iran, the lack of clearly defined school attendance areas has resulted in an informal open enrolment system where parents may choose public schools outside their residential areas. Two major consequences of parental choice are longer commutes to schools and increased use of motor vehicle transport. To delineate school attendance areas for public female junior high schools in the city of Rasht in Northern Iran, this research used the multiplicatively weighted Voronoi diagram (MWVD) technique to construct school attendance areas. The approach was shown to be useful in developing countries like Iran where accident fatalities are not only disproportionately high but the public school system lacks sufficient educational diversity to offset the societal costs of opting out of neighborhood schools. A GIS-based specialist package was used for constructing the proposed school attendance areas. Given the MWVD utility in demarcating spaces so that all journeys within them are closest to a chosen point, the research concluded that proposed school attendance areas can result in shorter and more convenient commutes on foot for students. This can eliminate the need to travel by vehicle for the overwhelming majority of students and thus make their journeys more convenient and safer. More... »

PAGES

113-132

References to SciGraph publications

Book

TITLE

Spatial Analysis and Modeling in Geographical Transformation Process

ISBN

978-94-007-0670-5
978-94-007-0671-2

Identifiers

URI

http://scigraph.springernature.com/pub.10.1007/978-94-007-0671-2_8

DOI

http://dx.doi.org/10.1007/978-94-007-0671-2_8

DIMENSIONS

https://app.dimensions.ai/details/publication/pub.1001623100


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/2008/1608", 
        "inDefinedTermSet": "http://purl.org/au-research/vocabulary/anzsrc-for/2008/", 
        "name": "Sociology", 
        "type": "DefinedTerm"
      }, 
      {
        "id": "http://purl.org/au-research/vocabulary/anzsrc-for/2008/16", 
        "inDefinedTermSet": "http://purl.org/au-research/vocabulary/anzsrc-for/2008/", 
        "name": "Studies in Human Society", 
        "type": "DefinedTerm"
      }
    ], 
    "author": [
      {
        "affiliation": {
          "alternateName": "Sinclair Community College", 
          "id": "https://www.grid.ac/institutes/grid.263652.6", 
          "name": [
            "Department of Geography, Sinclair Community College, Dayton, OH, USA"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Masouleh", 
        "givenName": "Fatemeh Ahmadi Nejad", 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "University of Tsukuba", 
          "id": "https://www.grid.ac/institutes/grid.20515.33", 
          "name": [
            "Division of Spatial Information Science, Graduate School of Life and Environmental Sciences, University of Tsukuba, Tsukuba, Ibaraki, Japan"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Murayama", 
        "givenName": "Yuji", 
        "id": "sg:person.014314212661.41", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.014314212661.41"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "The Ohio State University", 
          "id": "https://www.grid.ac/institutes/grid.261331.4", 
          "name": [
            "Department of Political Science, The Ohio State University, Columbus, OH, USA"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Rho\u2019Dess", 
        "givenName": "Todd Wendell", 
        "id": "sg:person.015501471320.56", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.015501471320.56"
        ], 
        "type": "Person"
      }
    ], 
    "citation": [
      {
        "id": "https://doi.org/10.1016/j.jpubeco.2004.05.001", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1004122224"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1080/0142569980190307", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1014013715"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1111/j.1467-9663.1974.tb01208.x", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1020041828"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/0094-1190(84)90017-2", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1020850652"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1007/s11159-005-0590-0", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1025400555", 
          "https://doi.org/10.1007/s11159-005-0590-0"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1007/s11159-005-0590-0", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1025400555", 
          "https://doi.org/10.1007/s11159-005-0590-0"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/0038-0121(75)90030-0", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1025617604"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1111/j.0033-0124.2004.05602007.x", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1033002333"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1111/j.0033-0124.1980.00412.x", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1038885140"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1111/j.1467-8306.1972.tb00887.x", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1043735816"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1007/bf01137794", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1043836947", 
          "https://doi.org/10.1007/bf01137794"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/s0033-3506(03)00173-2", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1047554952"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/s0033-3506(03)00173-2", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1047554952"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.3102/0013189x030007018", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1047939227"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.3102/0013189x030007018", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1047939227"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/0038-0121(68)90014-1", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1050492410"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1057/jors.1980.146", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1051884425", 
          "https://doi.org/10.1057/jors.1980.146"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.2307/142991", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1069491140"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://app.dimensions.ai/details/publication/pub.1076891149", 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1002/9780470317013", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1109496296"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://app.dimensions.ai/details/publication/pub.1109496296", 
        "type": "CreativeWork"
      }
    ], 
    "datePublished": "2011-02-09", 
    "datePublishedReg": "2011-02-09", 
    "description": "Though enrolment by proximity is an official educational policy in Iran, the lack of clearly defined school attendance areas has resulted in an informal open enrolment system where parents may choose public schools outside their residential areas. Two major consequences of parental choice are longer commutes to schools and increased use of motor vehicle transport. To delineate school attendance areas for public female junior high schools in the city of Rasht in Northern Iran, this research used the multiplicatively weighted Voronoi diagram (MWVD) technique to construct school attendance areas. The approach was shown to be useful in developing countries like Iran where accident fatalities are not only disproportionately high but the public school system lacks sufficient educational diversity to offset the societal costs of opting out of neighborhood schools. A GIS-based specialist package was used for constructing the proposed school attendance areas. Given the MWVD utility in demarcating spaces so that all journeys within them are closest to a chosen point, the research concluded that proposed school attendance areas can result in shorter and more convenient commutes on foot for students. This can eliminate the need to travel by vehicle for the overwhelming majority of students and thus make their journeys more convenient and safer.", 
    "editor": [
      {
        "familyName": "Murayama", 
        "givenName": "Yuji", 
        "type": "Person"
      }, 
      {
        "familyName": "Thapa", 
        "givenName": "Rajesh Bahadur", 
        "type": "Person"
      }
    ], 
    "genre": "chapter", 
    "id": "sg:pub.10.1007/978-94-007-0671-2_8", 
    "inLanguage": [
      "en"
    ], 
    "isAccessibleForFree": false, 
    "isPartOf": {
      "isbn": [
        "978-94-007-0670-5", 
        "978-94-007-0671-2"
      ], 
      "name": "Spatial Analysis and Modeling in Geographical Transformation Process", 
      "type": "Book"
    }, 
    "name": "The Application of GIS in Education Administration", 
    "pagination": "113-132", 
    "productId": [
      {
        "name": "dimensions_id", 
        "type": "PropertyValue", 
        "value": [
          "pub.1001623100"
        ]
      }, 
      {
        "name": "doi", 
        "type": "PropertyValue", 
        "value": [
          "10.1007/978-94-007-0671-2_8"
        ]
      }, 
      {
        "name": "readcube_id", 
        "type": "PropertyValue", 
        "value": [
          "07bb3dd3c199ab4acde7c46177179f4a8f4c2624431d7ff33e2df143f4195e04"
        ]
      }
    ], 
    "publisher": {
      "location": "Dordrecht", 
      "name": "Springer Netherlands", 
      "type": "Organisation"
    }, 
    "sameAs": [
      "https://doi.org/10.1007/978-94-007-0671-2_8", 
      "https://app.dimensions.ai/details/publication/pub.1001623100"
    ], 
    "sdDataset": "chapters", 
    "sdDatePublished": "2019-04-16T08:36", 
    "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/v90/0000000365_0000000365/records_71689_00000000.jsonl", 
    "type": "Chapter", 
    "url": "https://link.springer.com/10.1007%2F978-94-007-0671-2_8"
  }
]
 

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.10.1007/978-94-007-0671-2_8'

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

curl -H 'Accept: application/n-triples' 'https://scigraph.springernature.com/pub.10.1007/978-94-007-0671-2_8'

Turtle is a human-readable linked data format.

curl -H 'Accept: text/turtle' 'https://scigraph.springernature.com/pub.10.1007/978-94-007-0671-2_8'

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

curl -H 'Accept: application/rdf+xml' 'https://scigraph.springernature.com/pub.10.1007/978-94-007-0671-2_8'


 

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

144 TRIPLES      23 PREDICATES      44 URIs      19 LITERALS      8 BLANK NODES

Subject Predicate Object
1 sg:pub.10.1007/978-94-007-0671-2_8 schema:about anzsrc-for:16
2 anzsrc-for:1608
3 schema:author N79f77fa4815d43229e329c9069cc1077
4 schema:citation sg:pub.10.1007/bf01137794
5 sg:pub.10.1007/s11159-005-0590-0
6 sg:pub.10.1057/jors.1980.146
7 https://app.dimensions.ai/details/publication/pub.1076891149
8 https://app.dimensions.ai/details/publication/pub.1109496296
9 https://doi.org/10.1002/9780470317013
10 https://doi.org/10.1016/0038-0121(68)90014-1
11 https://doi.org/10.1016/0038-0121(75)90030-0
12 https://doi.org/10.1016/0094-1190(84)90017-2
13 https://doi.org/10.1016/j.jpubeco.2004.05.001
14 https://doi.org/10.1016/s0033-3506(03)00173-2
15 https://doi.org/10.1080/0142569980190307
16 https://doi.org/10.1111/j.0033-0124.1980.00412.x
17 https://doi.org/10.1111/j.0033-0124.2004.05602007.x
18 https://doi.org/10.1111/j.1467-8306.1972.tb00887.x
19 https://doi.org/10.1111/j.1467-9663.1974.tb01208.x
20 https://doi.org/10.2307/142991
21 https://doi.org/10.3102/0013189x030007018
22 schema:datePublished 2011-02-09
23 schema:datePublishedReg 2011-02-09
24 schema:description Though enrolment by proximity is an official educational policy in Iran, the lack of clearly defined school attendance areas has resulted in an informal open enrolment system where parents may choose public schools outside their residential areas. Two major consequences of parental choice are longer commutes to schools and increased use of motor vehicle transport. To delineate school attendance areas for public female junior high schools in the city of Rasht in Northern Iran, this research used the multiplicatively weighted Voronoi diagram (MWVD) technique to construct school attendance areas. The approach was shown to be useful in developing countries like Iran where accident fatalities are not only disproportionately high but the public school system lacks sufficient educational diversity to offset the societal costs of opting out of neighborhood schools. A GIS-based specialist package was used for constructing the proposed school attendance areas. Given the MWVD utility in demarcating spaces so that all journeys within them are closest to a chosen point, the research concluded that proposed school attendance areas can result in shorter and more convenient commutes on foot for students. This can eliminate the need to travel by vehicle for the overwhelming majority of students and thus make their journeys more convenient and safer.
25 schema:editor Nd68c281c9c55473c956dcd4ee8bcdbea
26 schema:genre chapter
27 schema:inLanguage en
28 schema:isAccessibleForFree false
29 schema:isPartOf N43cc9996e08b40e19a05e9a2526d0ed0
30 schema:name The Application of GIS in Education Administration
31 schema:pagination 113-132
32 schema:productId N1ded82dc0ba14d0a9780268e68e8492c
33 N413b650f29a5426c8df6182b78427d44
34 Nc05b03d16bdd4234a0d65e5056d853f6
35 schema:publisher Nd66ac17cfbdc4b60a8c6a96a46200b12
36 schema:sameAs https://app.dimensions.ai/details/publication/pub.1001623100
37 https://doi.org/10.1007/978-94-007-0671-2_8
38 schema:sdDatePublished 2019-04-16T08:36
39 schema:sdLicense https://scigraph.springernature.com/explorer/license/
40 schema:sdPublisher N16d5ad520fb24b57bf3dc779c705e088
41 schema:url https://link.springer.com/10.1007%2F978-94-007-0671-2_8
42 sgo:license sg:explorer/license/
43 sgo:sdDataset chapters
44 rdf:type schema:Chapter
45 N16d5ad520fb24b57bf3dc779c705e088 schema:name Springer Nature - SN SciGraph project
46 rdf:type schema:Organization
47 N1ded82dc0ba14d0a9780268e68e8492c schema:name readcube_id
48 schema:value 07bb3dd3c199ab4acde7c46177179f4a8f4c2624431d7ff33e2df143f4195e04
49 rdf:type schema:PropertyValue
50 N3e4b61650ffa44c1b988df5ca2e324bd schema:familyName Murayama
51 schema:givenName Yuji
52 rdf:type schema:Person
53 N413b650f29a5426c8df6182b78427d44 schema:name dimensions_id
54 schema:value pub.1001623100
55 rdf:type schema:PropertyValue
56 N43cc9996e08b40e19a05e9a2526d0ed0 schema:isbn 978-94-007-0670-5
57 978-94-007-0671-2
58 schema:name Spatial Analysis and Modeling in Geographical Transformation Process
59 rdf:type schema:Book
60 N5aa450664d3249c781fc5519c58e5c0f rdf:first N81a321111590406f89544a21ca251de2
61 rdf:rest rdf:nil
62 N79f77fa4815d43229e329c9069cc1077 rdf:first Nd01f5f6b7d394a10be65b1cf9d83d17c
63 rdf:rest N8a47914b413a4770906472362f8f20cf
64 N81a321111590406f89544a21ca251de2 schema:familyName Thapa
65 schema:givenName Rajesh Bahadur
66 rdf:type schema:Person
67 N8a47914b413a4770906472362f8f20cf rdf:first sg:person.014314212661.41
68 rdf:rest N9485a6a66a734e8e8e8de802cc488c20
69 N9485a6a66a734e8e8e8de802cc488c20 rdf:first sg:person.015501471320.56
70 rdf:rest rdf:nil
71 Nc05b03d16bdd4234a0d65e5056d853f6 schema:name doi
72 schema:value 10.1007/978-94-007-0671-2_8
73 rdf:type schema:PropertyValue
74 Nd01f5f6b7d394a10be65b1cf9d83d17c schema:affiliation https://www.grid.ac/institutes/grid.263652.6
75 schema:familyName Masouleh
76 schema:givenName Fatemeh Ahmadi Nejad
77 rdf:type schema:Person
78 Nd66ac17cfbdc4b60a8c6a96a46200b12 schema:location Dordrecht
79 schema:name Springer Netherlands
80 rdf:type schema:Organisation
81 Nd68c281c9c55473c956dcd4ee8bcdbea rdf:first N3e4b61650ffa44c1b988df5ca2e324bd
82 rdf:rest N5aa450664d3249c781fc5519c58e5c0f
83 anzsrc-for:16 schema:inDefinedTermSet anzsrc-for:
84 schema:name Studies in Human Society
85 rdf:type schema:DefinedTerm
86 anzsrc-for:1608 schema:inDefinedTermSet anzsrc-for:
87 schema:name Sociology
88 rdf:type schema:DefinedTerm
89 sg:person.014314212661.41 schema:affiliation https://www.grid.ac/institutes/grid.20515.33
90 schema:familyName Murayama
91 schema:givenName Yuji
92 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.014314212661.41
93 rdf:type schema:Person
94 sg:person.015501471320.56 schema:affiliation https://www.grid.ac/institutes/grid.261331.4
95 schema:familyName Rho’Dess
96 schema:givenName Todd Wendell
97 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.015501471320.56
98 rdf:type schema:Person
99 sg:pub.10.1007/bf01137794 schema:sameAs https://app.dimensions.ai/details/publication/pub.1043836947
100 https://doi.org/10.1007/bf01137794
101 rdf:type schema:CreativeWork
102 sg:pub.10.1007/s11159-005-0590-0 schema:sameAs https://app.dimensions.ai/details/publication/pub.1025400555
103 https://doi.org/10.1007/s11159-005-0590-0
104 rdf:type schema:CreativeWork
105 sg:pub.10.1057/jors.1980.146 schema:sameAs https://app.dimensions.ai/details/publication/pub.1051884425
106 https://doi.org/10.1057/jors.1980.146
107 rdf:type schema:CreativeWork
108 https://app.dimensions.ai/details/publication/pub.1076891149 schema:CreativeWork
109 https://app.dimensions.ai/details/publication/pub.1109496296 schema:CreativeWork
110 https://doi.org/10.1002/9780470317013 schema:sameAs https://app.dimensions.ai/details/publication/pub.1109496296
111 rdf:type schema:CreativeWork
112 https://doi.org/10.1016/0038-0121(68)90014-1 schema:sameAs https://app.dimensions.ai/details/publication/pub.1050492410
113 rdf:type schema:CreativeWork
114 https://doi.org/10.1016/0038-0121(75)90030-0 schema:sameAs https://app.dimensions.ai/details/publication/pub.1025617604
115 rdf:type schema:CreativeWork
116 https://doi.org/10.1016/0094-1190(84)90017-2 schema:sameAs https://app.dimensions.ai/details/publication/pub.1020850652
117 rdf:type schema:CreativeWork
118 https://doi.org/10.1016/j.jpubeco.2004.05.001 schema:sameAs https://app.dimensions.ai/details/publication/pub.1004122224
119 rdf:type schema:CreativeWork
120 https://doi.org/10.1016/s0033-3506(03)00173-2 schema:sameAs https://app.dimensions.ai/details/publication/pub.1047554952
121 rdf:type schema:CreativeWork
122 https://doi.org/10.1080/0142569980190307 schema:sameAs https://app.dimensions.ai/details/publication/pub.1014013715
123 rdf:type schema:CreativeWork
124 https://doi.org/10.1111/j.0033-0124.1980.00412.x schema:sameAs https://app.dimensions.ai/details/publication/pub.1038885140
125 rdf:type schema:CreativeWork
126 https://doi.org/10.1111/j.0033-0124.2004.05602007.x schema:sameAs https://app.dimensions.ai/details/publication/pub.1033002333
127 rdf:type schema:CreativeWork
128 https://doi.org/10.1111/j.1467-8306.1972.tb00887.x schema:sameAs https://app.dimensions.ai/details/publication/pub.1043735816
129 rdf:type schema:CreativeWork
130 https://doi.org/10.1111/j.1467-9663.1974.tb01208.x schema:sameAs https://app.dimensions.ai/details/publication/pub.1020041828
131 rdf:type schema:CreativeWork
132 https://doi.org/10.2307/142991 schema:sameAs https://app.dimensions.ai/details/publication/pub.1069491140
133 rdf:type schema:CreativeWork
134 https://doi.org/10.3102/0013189x030007018 schema:sameAs https://app.dimensions.ai/details/publication/pub.1047939227
135 rdf:type schema:CreativeWork
136 https://www.grid.ac/institutes/grid.20515.33 schema:alternateName University of Tsukuba
137 schema:name Division of Spatial Information Science, Graduate School of Life and Environmental Sciences, University of Tsukuba, Tsukuba, Ibaraki, Japan
138 rdf:type schema:Organization
139 https://www.grid.ac/institutes/grid.261331.4 schema:alternateName The Ohio State University
140 schema:name Department of Political Science, The Ohio State University, Columbus, OH, USA
141 rdf:type schema:Organization
142 https://www.grid.ac/institutes/grid.263652.6 schema:alternateName Sinclair Community College
143 schema:name Department of Geography, Sinclair Community College, Dayton, OH, USA
144 rdf:type schema:Organization
 




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


...