{"id":"https://openalex.org/W2172889791","doi":"https://doi.org/10.1080/13658816.2015.1085538","title":"Empirical determination of geometric parameters for selective omission in a road network","display_name":"Empirical determination of geometric parameters for selective omission in a road network","publication_year":2015,"publication_date":"2015-09-22","ids":{"openalex":"https://openalex.org/W2172889791","doi":"https://doi.org/10.1080/13658816.2015.1085538","mag":"2172889791"},"language":"en","primary_location":{"id":"doi:10.1080/13658816.2015.1085538","is_oa":false,"landing_page_url":"https://doi.org/10.1080/13658816.2015.1085538","pdf_url":null,"source":{"id":"https://openalex.org/S4210181446","display_name":"International Journal of Geographical Information Systems","issn_l":"0269-3798","issn":["0269-3798","1362-3087"],"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/P4310320547","host_organization_name":"Taylor & Francis","host_organization_lineage":["https://openalex.org/P4310320547"],"host_organization_lineage_names":["Taylor & Francis"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"International Journal of Geographical Information Science","raw_type":"journal-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":false,"oa_status":"closed","oa_url":null,"any_repository_has_fulltext":false},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5061584234","display_name":"Qi Zhou","orcid":"https://orcid.org/0000-0001-7177-1820"},"institutions":[{"id":"https://openalex.org/I3124059619","display_name":"China University of Geosciences","ror":"https://ror.org/04gcegc37","country_code":"CN","type":"education","lineage":["https://openalex.org/I3124059619"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Qi Zhou","raw_affiliation_strings":["Faculty of Information Engineering, China University of Geosciences, Wuhan, P.R. China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Faculty of Information Engineering, China University of Geosciences, Wuhan, P.R. China","institution_ids":["https://openalex.org/I3124059619"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5077703661","display_name":"Zhilin Li","orcid":"https://orcid.org/0000-0003-1507-323X"},"institutions":[{"id":"https://openalex.org/I14243506","display_name":"Hong Kong Polytechnic University","ror":"https://ror.org/0030zas98","country_code":"HK","type":"education","lineage":["https://openalex.org/I14243506"]}],"countries":["HK"],"is_corresponding":false,"raw_author_name":"Zhilin Li","raw_affiliation_strings":["Department of Land Surveying and Geo-Informatics, Hong Kong Polytechnic University, Kowloon, Hong Kong"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Land Surveying and Geo-Informatics, Hong Kong Polytechnic University, Kowloon, Hong Kong","institution_ids":["https://openalex.org/I14243506"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5061584234"],"corresponding_institution_ids":["https://openalex.org/I3124059619"],"apc_list":null,"apc_paid":null,"fwci":1.2196,"has_fulltext":false,"cited_by_count":25,"citation_normalized_percentile":{"value":0.80997985,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":99},"biblio":{"volume":"30","issue":"2","first_page":"263","last_page":"299"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T12644","display_name":"Wildlife-Road Interactions and Conservation","score":0.9453999996185303,"subfield":{"id":"https://openalex.org/subfields/2303","display_name":"Ecology"},"field":{"id":"https://openalex.org/fields/23","display_name":"Environmental Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},"topics":[{"id":"https://openalex.org/T12644","display_name":"Wildlife-Road Interactions and Conservation","score":0.9453999996185303,"subfield":{"id":"https://openalex.org/subfields/2303","display_name":"Ecology"},"field":{"id":"https://openalex.org/fields/23","display_name":"Environmental Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T11606","display_name":"Infrastructure Maintenance and Monitoring","score":0.9417999982833862,"subfield":{"id":"https://openalex.org/subfields/2205","display_name":"Civil and Structural Engineering"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T12227","display_name":"Environmental and Social Impact Assessments","score":0.9395999908447266,"subfield":{"id":"https://openalex.org/subfields/2308","display_name":"Management, Monitoring, Policy and Law"},"field":{"id":"https://openalex.org/fields/23","display_name":"Environmental Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/subdivision","display_name":"Subdivision","score":0.7040858268737793},{"id":"https://openalex.org/keywords/generalization","display_name":"Generalization","score":0.5896240472793579},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.5653322339057922},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5624250769615173},{"id":"https://openalex.org/keywords/grid","display_name":"Grid","score":0.5527639389038086},{"id":"https://openalex.org/keywords/boundary","display_name":"Boundary (topology)","score":0.480419397354126},{"id":"https://openalex.org/keywords/scale","display_name":"Scale (ratio)","score":0.46694648265838623},{"id":"https://openalex.org/keywords/series","display_name":"Series (stratigraphy)","score":0.45657044649124146},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.45440763235092163},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.27147573232650757},{"id":"https://openalex.org/keywords/geography","display_name":"Geography","score":0.17811304330825806},{"id":"https://openalex.org/keywords/cartography","display_name":"Cartography","score":0.15757691860198975},{"id":"https://openalex.org/keywords/geometry","display_name":"Geometry","score":0.10333949327468872}],"concepts":[{"id":"https://openalex.org/C143392562","wikidata":"https://www.wikidata.org/wiki/Q449111","display_name":"Subdivision","level":2,"score":0.7040858268737793},{"id":"https://openalex.org/C177148314","wikidata":"https://www.wikidata.org/wiki/Q170084","display_name":"Generalization","level":2,"score":0.5896240472793579},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.5653322339057922},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5624250769615173},{"id":"https://openalex.org/C187691185","wikidata":"https://www.wikidata.org/wiki/Q2020720","display_name":"Grid","level":2,"score":0.5527639389038086},{"id":"https://openalex.org/C62354387","wikidata":"https://www.wikidata.org/wiki/Q875399","display_name":"Boundary (topology)","level":2,"score":0.480419397354126},{"id":"https://openalex.org/C2778755073","wikidata":"https://www.wikidata.org/wiki/Q10858537","display_name":"Scale (ratio)","level":2,"score":0.46694648265838623},{"id":"https://openalex.org/C143724316","wikidata":"https://www.wikidata.org/wiki/Q312468","display_name":"Series (stratigraphy)","level":2,"score":0.45657044649124146},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.45440763235092163},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.27147573232650757},{"id":"https://openalex.org/C205649164","wikidata":"https://www.wikidata.org/wiki/Q1071","display_name":"Geography","level":0,"score":0.17811304330825806},{"id":"https://openalex.org/C58640448","wikidata":"https://www.wikidata.org/wiki/Q42515","display_name":"Cartography","level":1,"score":0.15757691860198975},{"id":"https://openalex.org/C2524010","wikidata":"https://www.wikidata.org/wiki/Q8087","display_name":"Geometry","level":1,"score":0.10333949327468872},{"id":"https://openalex.org/C166957645","wikidata":"https://www.wikidata.org/wiki/Q23498","display_name":"Archaeology","level":1,"score":0.0},{"id":"https://openalex.org/C134306372","wikidata":"https://www.wikidata.org/wiki/Q7754","display_name":"Mathematical analysis","level":1,"score":0.0},{"id":"https://openalex.org/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"score":0.0},{"id":"https://openalex.org/C151730666","wikidata":"https://www.wikidata.org/wiki/Q7205","display_name":"Paleontology","level":1,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1080/13658816.2015.1085538","is_oa":false,"landing_page_url":"https://doi.org/10.1080/13658816.2015.1085538","pdf_url":null,"source":{"id":"https://openalex.org/S4210181446","display_name":"International Journal of Geographical Information Systems","issn_l":"0269-3798","issn":["0269-3798","1362-3087"],"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/P4310320547","host_organization_name":"Taylor & Francis","host_organization_lineage":["https://openalex.org/P4310320547"],"host_organization_lineage_names":["Taylor & Francis"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"International Journal of Geographical Information Science","raw_type":"journal-article"},{"id":"pmh:oai:ira.lib.polyu.edu.hk:10397/43649","is_oa":false,"landing_page_url":"http://hdl.handle.net/10397/43649","pdf_url":null,"source":{"id":"https://openalex.org/S4306400205","display_name":"PolyU Institutional Research Archive (Hong Kong Polytechnic University)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I14243506","host_organization_name":"Hong Kong Polytechnic University","host_organization_lineage":["https://openalex.org/I14243506"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"","raw_type":"Journal/Magazine Article"}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/11","score":0.6899999976158142,"display_name":"Sustainable cities and communities"}],"awards":[{"id":"https://openalex.org/G527617522","display_name":null,"funder_award_id":"41301523","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"}],"funders":[{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":35,"referenced_works":["https://openalex.org/W19622310","https://openalex.org/W134160450","https://openalex.org/W631655502","https://openalex.org/W962477327","https://openalex.org/W1519605795","https://openalex.org/W1549735104","https://openalex.org/W1967061497","https://openalex.org/W1978171942","https://openalex.org/W1988849643","https://openalex.org/W1990225408","https://openalex.org/W1995215995","https://openalex.org/W1995749047","https://openalex.org/W2009335577","https://openalex.org/W2024370823","https://openalex.org/W2035873138","https://openalex.org/W2037503493","https://openalex.org/W2041282815","https://openalex.org/W2045034287","https://openalex.org/W2045292783","https://openalex.org/W2045561454","https://openalex.org/W2053770965","https://openalex.org/W2058432627","https://openalex.org/W2059975159","https://openalex.org/W2088572663","https://openalex.org/W2095517155","https://openalex.org/W2105411649","https://openalex.org/W2131030644","https://openalex.org/W2143607738","https://openalex.org/W2164276985","https://openalex.org/W2496805008","https://openalex.org/W2592617001","https://openalex.org/W2768790030","https://openalex.org/W4248613125","https://openalex.org/W4255739112","https://openalex.org/W4285719527"],"related_works":["https://openalex.org/W2384806462","https://openalex.org/W4389950792","https://openalex.org/W2375549870","https://openalex.org/W4376632515","https://openalex.org/W2140072033","https://openalex.org/W2163269603","https://openalex.org/W4205312897","https://openalex.org/W1106115901","https://openalex.org/W2055560755","https://openalex.org/W2386836336"],"abstract_inverted_index":{"Selective":[0],"omission":[1,17,161],"in":[2,165,187],"a":[3,7,26,50,62,134],"road":[4,11,64,101,145,210],"network":[5,12,102,146,211],"is":[6,58,215],"necessary":[8],"operation":[9],"for":[10,43,48,83,104,197],"generalization.":[13],"Most":[14],"existing":[15,159],"selective":[16,160],"approaches":[18,162],"involve":[19],"one":[20,74],"or":[21,36,75],"two":[22],"geometric":[23,150,198],"parameters":[24,157],"at":[25,110],"specific":[27],"scale":[28],"to":[29,59,68,78,94,116,127],"determine":[30],"which":[31,224],"roads":[32],"should":[33],"be":[34],"retained":[35],"eliminated.":[37],"This":[38,213],"study":[39],"proposes":[40],"an":[41,80],"approach":[42,57,240],"determining":[44],"the":[45,55,84,96,100,121,166,174,185,190,208,218,226,229,235,238],"empirical":[46],"threshold":[47,82,192],"such":[49],"parameter.":[51],"The":[52,168],"idea":[53],"of":[54,89,137,158,220,228,237],"proposed":[56,97,230,239],"first":[60],"subdivide":[61],"large":[63,85,209],"network,":[65],"and":[66,107,124,143,155,200],"then":[67],"use":[69,219,236],"appropriate":[70,81,176,191],"threshold(s)":[71],"obtained":[72,178,206],"from":[73,114,179,207],"several":[76],"subdivisions":[77,181],"infer":[79],"one.":[86],"A":[87],"series":[88],"experiments":[90],"was":[91],"carried":[92],"out":[93],"validate":[95],"approach.":[98,231],"Specifically,":[99],"data":[103],"New":[105],"Zealand":[106],"Hong":[108],"Kong":[109],"different":[111,128,138,140,144,180,221],"scales":[112],"(ranging":[113],"1:50,000":[115],"1:250,000)":[117],"were":[118,163],"used":[119],"as":[120],"experimental":[122,169],"data,":[123,133],"subdivided":[125],"according":[126],"modes":[129],"(i.e.":[130],"administrative":[131],"boundary":[132],"regular":[135],"grid":[136],"sizes,":[139],"update":[141],"years,":[142],"patterns).":[147],"Not":[148],"only":[149],"parameters,":[151,199],"but":[152],"also":[153,202,242],"structural":[154],"hybrid":[156],"involved":[164],"testing.":[167],"results":[170],"show":[171],"that":[172],"although":[173],"most":[175,188],"thresholds":[177],"are":[182,241],"not":[183],"always":[184],"same,":[186],"cases,":[189],"ranges":[193],"often":[194],"overlap,":[195],"especially":[196],"they":[201],"overlap":[203],"with":[204,217],"those":[205],"data.":[212],"finding":[214],"consistent":[216],"subdivision":[222],"modes,":[223],"verifies":[225],"effectiveness":[227],"Several":[232],"issues":[233],"involving":[234],"addressed.":[243]},"counts_by_year":[{"year":2025,"cited_by_count":1},{"year":2024,"cited_by_count":7},{"year":2023,"cited_by_count":2},{"year":2022,"cited_by_count":1},{"year":2021,"cited_by_count":4},{"year":2020,"cited_by_count":1},{"year":2019,"cited_by_count":5},{"year":2018,"cited_by_count":1},{"year":2017,"cited_by_count":1},{"year":2016,"cited_by_count":2}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}