{"id":"https://openalex.org/W4281975772","doi":"https://doi.org/10.1080/13658816.2022.2072849","title":"A topography-aware approach to the automatic generation of urban road networks","display_name":"A topography-aware approach to the automatic generation of urban road networks","publication_year":2022,"publication_date":"2022-06-01","ids":{"openalex":"https://openalex.org/W4281975772","doi":"https://doi.org/10.1080/13658816.2022.2072849"},"language":"en","primary_location":{"id":"doi:10.1080/13658816.2022.2072849","is_oa":false,"landing_page_url":"https://doi.org/10.1080/13658816.2022.2072849","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","datacite"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"https://figshare.com/articles/journal_contribution/A_topography-aware_approach_to_the_automatic_generation_of_urban_road_networks/19947510","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5048127669","display_name":"Zhou Fang","orcid":"https://orcid.org/0000-0002-5389-6694"},"institutions":[{"id":"https://openalex.org/I241749","display_name":"University of Cambridge","ror":"https://ror.org/013meh722","country_code":"GB","type":"education","lineage":["https://openalex.org/I241749"]}],"countries":["GB"],"is_corresponding":false,"raw_author_name":"Zhou Fang","raw_affiliation_strings":["Martin Centre for Architectural and Urban Studies, University of Cambridge, Cambridge, UK"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Martin Centre for Architectural and Urban Studies, University of Cambridge, Cambridge, UK","institution_ids":["https://openalex.org/I241749"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5016137773","display_name":"Jiaxin Qi","orcid":"https://orcid.org/0009-0000-7127-7400"},"institutions":[{"id":"https://openalex.org/I172675005","display_name":"Nanyang Technological University","ror":"https://ror.org/02e7b5302","country_code":"SG","type":"education","lineage":["https://openalex.org/I172675005"]}],"countries":["SG"],"is_corresponding":false,"raw_author_name":"Jiaxin Qi","raw_affiliation_strings":["School of Computer Science & Engineering, Nanyang Technological University, Singapore"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Computer Science & Engineering, Nanyang Technological University, Singapore","institution_ids":["https://openalex.org/I172675005"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101852941","display_name":"Lubin Fan","orcid":null},"institutions":[{"id":"https://openalex.org/I45928872","display_name":"Alibaba Group (China)","ror":"https://ror.org/00k642b80","country_code":"CN","type":"company","lineage":["https://openalex.org/I45928872"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Lubin Fan","raw_affiliation_strings":["DAMO Academy, Alibaba Group, Hangzhou, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"DAMO Academy, Alibaba Group, Hangzhou, China","institution_ids":["https://openalex.org/I45928872"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5079865276","display_name":"Jianqiang Huang","orcid":"https://orcid.org/0000-0001-5735-2910"},"institutions":[{"id":"https://openalex.org/I45928872","display_name":"Alibaba Group (China)","ror":"https://ror.org/00k642b80","country_code":"CN","type":"company","lineage":["https://openalex.org/I45928872"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jianqiang Huang","raw_affiliation_strings":["DAMO Academy, Alibaba Group, Hangzhou, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"DAMO Academy, Alibaba Group, Hangzhou, China","institution_ids":["https://openalex.org/I45928872"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5044914203","display_name":"Ying Jin","orcid":"https://orcid.org/0000-0003-2683-6829"},"institutions":[{"id":"https://openalex.org/I241749","display_name":"University of Cambridge","ror":"https://ror.org/013meh722","country_code":"GB","type":"education","lineage":["https://openalex.org/I241749"]}],"countries":["GB"],"is_corresponding":false,"raw_author_name":"Ying Jin","raw_affiliation_strings":["Martin Centre for Architectural and Urban Studies, University of Cambridge, Cambridge, UK"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Martin Centre for Architectural and Urban Studies, University of Cambridge, Cambridge, UK","institution_ids":["https://openalex.org/I241749"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5055842079","display_name":"Tianren Yang","orcid":"https://orcid.org/0000-0002-3547-5853"},"institutions":[{"id":"https://openalex.org/I889458895","display_name":"University of Hong Kong","ror":"https://ror.org/02zhqgq86","country_code":"HK","type":"education","lineage":["https://openalex.org/I889458895"]}],"countries":["HK"],"is_corresponding":true,"raw_author_name":"Tianren Yang","raw_affiliation_strings":["Department of Urban Planning and Design, The University of Hong Kong, Hong Kong SAR, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Urban Planning and Design, The University of Hong Kong, Hong Kong SAR, China","institution_ids":["https://openalex.org/I889458895"]}]}],"institutions":[],"countries_distinct_count":4,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5055842079"],"corresponding_institution_ids":["https://openalex.org/I889458895"],"apc_list":null,"apc_paid":null,"fwci":1.4269,"has_fulltext":false,"cited_by_count":12,"citation_normalized_percentile":{"value":0.79066265,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":94,"max":98},"biblio":{"volume":"36","issue":"10","first_page":"2035","last_page":"2059"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T13282","display_name":"Automated Road and Building Extraction","score":0.9980000257492065,"subfield":{"id":"https://openalex.org/subfields/2212","display_name":"Ocean Engineering"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},"topics":[{"id":"https://openalex.org/T13282","display_name":"Automated Road and Building Extraction","score":0.9980000257492065,"subfield":{"id":"https://openalex.org/subfields/2212","display_name":"Ocean 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/T11164","display_name":"Remote Sensing and LiDAR Applications","score":0.9975000023841858,"subfield":{"id":"https://openalex.org/subfields/2305","display_name":"Environmental Engineering"},"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/T10331","display_name":"Video Surveillance and Tracking Methods","score":0.9940000176429749,"subfield":{"id":"https://openalex.org/subfields/1707","display_name":"Computer Vision and Pattern Recognition"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/inpainting","display_name":"Inpainting","score":0.6067653894424438},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6008275747299194},{"id":"https://openalex.org/keywords/extractor","display_name":"Extractor","score":0.4873214662075043},{"id":"https://openalex.org/keywords/deep-learning","display_name":"Deep learning","score":0.47591549158096313},{"id":"https://openalex.org/keywords/perspective","display_name":"Perspective (graphical)","score":0.4183949828147888},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.41796454787254333},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.3391929268836975},{"id":"https://openalex.org/keywords/cartography","display_name":"Cartography","score":0.3379935026168823},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.33434128761291504},{"id":"https://openalex.org/keywords/geography","display_name":"Geography","score":0.31404972076416016},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.1634509265422821}],"concepts":[{"id":"https://openalex.org/C11727466","wikidata":"https://www.wikidata.org/wiki/Q1628157","display_name":"Inpainting","level":3,"score":0.6067653894424438},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6008275747299194},{"id":"https://openalex.org/C117978034","wikidata":"https://www.wikidata.org/wiki/Q5422192","display_name":"Extractor","level":2,"score":0.4873214662075043},{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.47591549158096313},{"id":"https://openalex.org/C12713177","wikidata":"https://www.wikidata.org/wiki/Q1900281","display_name":"Perspective (graphical)","level":2,"score":0.4183949828147888},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.41796454787254333},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.3391929268836975},{"id":"https://openalex.org/C58640448","wikidata":"https://www.wikidata.org/wiki/Q42515","display_name":"Cartography","level":1,"score":0.3379935026168823},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.33434128761291504},{"id":"https://openalex.org/C205649164","wikidata":"https://www.wikidata.org/wiki/Q1071","display_name":"Geography","level":0,"score":0.31404972076416016},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.1634509265422821},{"id":"https://openalex.org/C21880701","wikidata":"https://www.wikidata.org/wiki/Q2144042","display_name":"Process engineering","level":1,"score":0.0}],"mesh":[],"locations_count":3,"locations":[{"id":"doi:10.1080/13658816.2022.2072849","is_oa":false,"landing_page_url":"https://doi.org/10.1080/13658816.2022.2072849","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:figshare.com:article/19947510","is_oa":true,"landing_page_url":"https://figshare.com/articles/journal_contribution/A_topography-aware_approach_to_the_automatic_generation_of_urban_road_networks/19947510","pdf_url":null,"source":{"id":"https://openalex.org/S4377196282","display_name":"Figshare","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I4210132348","host_organization_name":"Figshare (United Kingdom)","host_organization_lineage":["https://openalex.org/I4210132348"],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"","raw_type":"Text"},{"id":"doi:10.6084/m9.figshare.19947510.v1","is_oa":true,"landing_page_url":"https://doi.org/10.6084/m9.figshare.19947510.v1","pdf_url":null,"source":{"id":"https://openalex.org/S4377196282","display_name":"Figshare","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I4210132348","host_organization_name":"Figshare (United Kingdom)","host_organization_lineage":["https://openalex.org/I4210132348"],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":null,"is_accepted":false,"is_published":null,"raw_source_name":null,"raw_type":"article-journal"}],"best_oa_location":{"id":"pmh:oai:figshare.com:article/19947510","is_oa":true,"landing_page_url":"https://figshare.com/articles/journal_contribution/A_topography-aware_approach_to_the_automatic_generation_of_urban_road_networks/19947510","pdf_url":null,"source":{"id":"https://openalex.org/S4377196282","display_name":"Figshare","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I4210132348","host_organization_name":"Figshare (United Kingdom)","host_organization_lineage":["https://openalex.org/I4210132348"],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"","raw_type":"Text"},"sustainable_development_goals":[{"score":0.8399999737739563,"id":"https://metadata.un.org/sdg/11","display_name":"Sustainable cities and communities"}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":23,"referenced_works":["https://openalex.org/W1542037805","https://openalex.org/W1559263939","https://openalex.org/W1968625395","https://openalex.org/W2053430767","https://openalex.org/W2057064392","https://openalex.org/W2738588019","https://openalex.org/W2885593706","https://openalex.org/W2906093258","https://openalex.org/W2969633364","https://openalex.org/W2982763192","https://openalex.org/W2983519129","https://openalex.org/W2989505547","https://openalex.org/W2990198113","https://openalex.org/W3025801198","https://openalex.org/W3026594440","https://openalex.org/W3043547428","https://openalex.org/W3092058942","https://openalex.org/W3092086724","https://openalex.org/W3094011676","https://openalex.org/W3109507857","https://openalex.org/W4205503054","https://openalex.org/W4246789165","https://openalex.org/W6633225026"],"related_works":["https://openalex.org/W3178025616","https://openalex.org/W2131831293","https://openalex.org/W2017457812","https://openalex.org/W1995073329","https://openalex.org/W2946160871","https://openalex.org/W3035059915","https://openalex.org/W2060947339","https://openalex.org/W425542480","https://openalex.org/W49967185","https://openalex.org/W2107727507"],"abstract_inverted_index":{"Existing":[0],"deep-learning":[1],"tools":[2],"for":[3],"road":[4],"network":[5,41,48,75],"generation":[6,42,76],"have":[7],"limited":[8],"applications":[9],"in":[10,77,113,127],"flat":[11,79],"urban":[12,82],"areas":[13],"due":[14],"to":[15,72],"their":[16],"overreliance":[17],"on":[18,44],"the":[19,63,88,117,123],"geometric":[20,67],"and":[21,27,55,69,80,135],"spatial":[22],"configurations":[23,68,98],"of":[24,30,39,66,96],"street":[25,40,74,97],"networks":[26],"inadequate":[28],"considerations":[29],"topographic":[31,70,130,137],"information.":[32],"This":[33],"paper":[34],"proposes":[35],"a":[36,45,51,56,92],"new":[37],"method":[38],"based":[43],"generative":[46],"adversarial":[47],"by":[49],"designing":[50],"pre-positioned":[52],"geo-extractor":[53,118],"module":[54,119],"geo-merging":[57],"bypath.":[58],"The":[59,104],"two":[60],"improvements":[61],"employ":[62],"complementary":[64],"use":[65],"features":[71],"automate":[73],"both":[78],"hilly":[81,114],"areas.":[83,115],"Our":[84],"experiments":[85],"demonstrate":[86],"that":[87],"improved":[89],"model":[90],"yields":[91],"more":[93,141],"realistic":[94],"prediction":[95],"than":[99],"conventional":[100],"image":[101],"inpainting":[102],"techniques.":[103],"model\u2019s":[105],"effectiveness":[106],"is":[107],"further":[108],"enhanced":[109],"when":[110,129],"generating":[111],"streets":[112],"Furthermore,":[116],"provides":[120],"insights":[121],"from":[122],"computer":[124],"vision":[125],"perspective":[126],"recognizing":[128],"information":[131,138],"should":[132,139],"be":[133],"considered":[134],"which":[136],"receive":[140],"attention.":[142]},"counts_by_year":[{"year":2026,"cited_by_count":2},{"year":2025,"cited_by_count":4},{"year":2024,"cited_by_count":4},{"year":2022,"cited_by_count":2}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
