{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,7,18]],"date-time":"2026-07-18T15:53:47Z","timestamp":1784390027646,"version":"3.55.0"},"reference-count":111,"publisher":"Informa UK Limited","issue":"2","license":[{"start":{"date-parts":[[2023,12,11]],"date-time":"2023-12-11T00:00:00Z","timestamp":1702252800000},"content-version":"vor","delay-in-days":0,"URL":"http:\/\/creativecommons.org\/licenses\/by\/4.0\/"}],"funder":[{"DOI":"10.13039\/100000192","name":"National Oceanic and Atmospheric Administration (NOAA), U.S. Department of Commerce","doi-asserted-by":"publisher","id":[{"id":"10.13039\/100000192","id-type":"DOI","asserted-by":"publisher"}]},{"name":"Texas A&M TAMIDS Data Resource Development Program"}],"content-domain":{"domain":["www.tandfonline.com"],"crossmark-restriction":true},"short-container-title":["International Journal of Geographical Information Science"],"published-print":{"date-parts":[[2024,2]]},"DOI":"10.1080\/13658816.2023.2279975","type":"journal-article","created":{"date-parts":[[2023,12,11]],"date-time":"2023-12-11T09:51:01Z","timestamp":1702288261000},"page":"183-215","update-policy":"https:\/\/doi.org\/10.1080\/tandf_crossmark_01","source":"Crossref","is-referenced-by-count":53,"title":["A reinforcement learning-based routing algorithm for large street networks"],"prefix":"10.1080","volume":"38","author":[{"given":"Diya","family":"Li","sequence":"first","affiliation":[{"name":"Department of Geography, Texas A&M University, College Station, TX, USA"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-7108-182X","authenticated-orcid":false,"given":"Zhe","family":"Zhang","sequence":"additional","affiliation":[{"name":"Department of Geography, Texas A&M University, College Station, TX, USA"},{"name":"Department of Electrical and Computer Engineering, Texas A&M University, College Station, TX, USA"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Bahareh","family":"Alizadeh","sequence":"additional","affiliation":[{"name":"Department of Construction Science, Texas A&M University, College Station, TX, USA"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Ziyi","family":"Zhang","sequence":"additional","affiliation":[{"name":"Department of Electrical and Computer Engineering, Texas A&M University, College Station, TX, USA"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Nick","family":"Duffield","sequence":"additional","affiliation":[{"name":"Department of Electrical and Computer Engineering, Texas A&M University, College Station, TX, USA"},{"name":"Texas A&M Institute of Data Science, College Station, TX, USA"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Michelle A.","family":"Meyer","sequence":"additional","affiliation":[{"name":"Department of Landscape Architecture & Urban Planning, Texas A&M University, College Station, TX, USA"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Courtney M.","family":"Thompson","sequence":"additional","affiliation":[{"name":"Department of Geography, Texas A&M University, College Station, TX, USA"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Huilin","family":"Gao","sequence":"additional","affiliation":[{"name":"Department of Civil & Environmental Engineering, Texas A&M University, College Station, TX, USA"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Amir H.","family":"Behzadan","sequence":"additional","affiliation":[{"name":"Department of Construction Science, Texas A&M University, College Station, TX, USA"}],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"301","published-online":{"date-parts":[[2023,12,11]]},"reference":[{"key":"e_1_3_5_2_1","unstructured":"Abe K. et\u00a0al. 2019. Solving np-hard problems on graphs by reinforcement learning without domain knowledge. ArXiv abs\/1905.11623 ."},{"key":"e_1_3_5_3_1","unstructured":"Agarap A.F. 2018. Deep learning using rectified linear units (relu). arXiv preprint arXiv:1803.08375 ."},{"key":"e_1_3_5_4_1","doi-asserted-by":"publisher","DOI":"10.1016\/j.aei.2022.101730"},{"key":"e_1_3_5_5_1","unstructured":"Alizadeh B. et\u00a0al. 2021. Feasibility study of urban flood mapping using traffic signs for route optimization. arXiv preprint arXiv:2109.11712 ."},{"key":"e_1_3_5_6_1","doi-asserted-by":"publisher","DOI":"10.1145\/3035918.3035924"},{"key":"e_1_3_5_7_1","doi-asserted-by":"publisher","DOI":"10.1007\/s11227-018-2283-z"},{"key":"e_1_3_5_8_1","volume-title":"Openstreetmap","author":"Bennett J.","year":"2010","unstructured":"Bennett, J., 2010. Openstreetmap. Birmingham: Packt Publishing Ltd."},{"key":"e_1_3_5_9_1","doi-asserted-by":"publisher","DOI":"10.1016\/j.asoc.2019.105741"},{"key":"e_1_3_5_10_1","doi-asserted-by":"publisher","DOI":"10.1109\/ICUAS.2019.8798254"},{"key":"e_1_3_5_11_1","unstructured":"Cai Q. et\u00a0al. 2019. Reinforcement learning driven heuristic optimization. ArXiv abs\/1906.06639."},{"key":"e_1_3_5_12_1","doi-asserted-by":"publisher","DOI":"10.1016\/j.ijdrr.2016.08.009"},{"key":"e_1_3_5_13_1","doi-asserted-by":"publisher","DOI":"10.1109\/JIOT.2020.3044966"},{"key":"e_1_3_5_14_1","doi-asserted-by":"publisher","DOI":"10.1016\/j.proeng.2014.04.023"},{"key":"e_1_3_5_15_1","unstructured":"Chevalier-Boisvert M. Willems L. and Pal S. 2018. Minimalistic gridworld environment for openai gym. https:\/\/github.com\/maximecb\/gym-minigrid."},{"key":"e_1_3_5_16_1","unstructured":"Christiano P.F. et\u00a0al. 2017. Deep reinforcement learning from human preferences. ArXiv abs\/1706.03741."},{"key":"e_1_3_5_17_1","volume-title":"Symposium on Algorithm Engineering and Experiments(ALENEX)","author":"Delling D.","year":"2012","unstructured":"Delling, D., et\u00a0al., 2012. Robust mobile route planning with limited connectivity. In Symposium on Algorithm Engineering and Experiments(ALENEX)."},{"key":"e_1_3_5_18_1","doi-asserted-by":"publisher","DOI":"10.1016\/j.eswa.2010.08.135"},{"key":"e_1_3_5_19_1","doi-asserted-by":"publisher","DOI":"10.1007\/BF01386390"},{"key":"e_1_3_5_20_1","doi-asserted-by":"publisher","DOI":"10.3390\/electronics10131539"},{"key":"e_1_3_5_21_1","doi-asserted-by":"publisher","DOI":"10.36548\/jtcsst.2019.1.003"},{"key":"e_1_3_5_22_1","doi-asserted-by":"publisher","DOI":"10.3390\/w7041437"},{"key":"e_1_3_5_23_1","doi-asserted-by":"publisher","DOI":"10.1109\/ICCWorkshops50388.2021.9473555"},{"key":"e_1_3_5_24_1","doi-asserted-by":"publisher","DOI":"10.1111\/risa.13256"},{"key":"e_1_3_5_25_1","doi-asserted-by":"publisher","DOI":"10.1287\/trsc.36.1.40.572"},{"key":"e_1_3_5_26_1","unstructured":"Goecks V.G. et\u00a0al. 2019. Integrating behavior cloning and reinforcement learning for improved performance in dense and sparse reward environments. arXiv preprint arXiv:1910.04281 ."},{"key":"e_1_3_5_27_1","first-page":"10198","volume-title":"Proceedings of Algorithms and Technologies for Multispectral, Hyperspectral, and Ultraspectral Imagery XXIII","author":"Gomes R.","year":"2017","unstructured":"Gomes, R., and Straub, J., 2017. Genetic algorithm for flood detection and evacuation route planning. In: Proceedings of Algorithms and Technologies for Multispectral, Hyperspectral, and Ultraspectral Imagery XXIII, 10198."},{"key":"e_1_3_5_28_1","doi-asserted-by":"publisher","DOI":"10.1145\/2939672.2939754"},{"key":"e_1_3_5_29_1","volume-title":"Exploring network structure, dynamics, and function using networkx","author":"Hagberg A.","year":"2008","unstructured":"Hagberg, A., Swart, P., and S Chult, D., 2008. Exploring network structure, dynamics, and function using networkx. Los Alamos, NM: Los Alamos National Lab (LANL)."},{"key":"e_1_3_5_30_1","doi-asserted-by":"publisher","DOI":"10.1109\/ICTIS.2017.8047855"},{"key":"e_1_3_5_31_1","doi-asserted-by":"publisher","DOI":"10.1109\/TSSC.1968.300136"},{"key":"e_1_3_5_32_1","doi-asserted-by":"publisher","DOI":"10.1038\/s41598-022-18245-1"},{"key":"e_1_3_5_33_1","doi-asserted-by":"publisher","DOI":"10.5334\/cstp.462"},{"key":"e_1_3_5_34_1","doi-asserted-by":"publisher","DOI":"10.2166\/hydro.2013.132"},{"key":"e_1_3_5_35_1","doi-asserted-by":"publisher","DOI":"10.1109\/2945.841119"},{"key":"e_1_3_5_36_1","doi-asserted-by":"publisher","DOI":"10.1177\/0013916515578485"},{"key":"e_1_3_5_37_1","doi-asserted-by":"publisher","DOI":"10.1596\/978-0-8213-8866-2"},{"key":"e_1_3_5_38_1","volume-title":"On the sample complexity of reinforcement learning","author":"Kakade S.M.","year":"2003","unstructured":"Kakade, S.M., 2003. On the sample complexity of reinforcement learning. London: University of London."},{"key":"e_1_3_5_39_1","doi-asserted-by":"publisher","DOI":"10.1016\/j.compenvurbsys.2021.101628"},{"key":"e_1_3_5_40_1","doi-asserted-by":"publisher","DOI":"10.1155\/2022\/1606317"},{"key":"e_1_3_5_41_1","doi-asserted-by":"publisher","DOI":"10.1109\/ITSC48978.2021.9565029"},{"key":"e_1_3_5_42_1","doi-asserted-by":"publisher","DOI":"10.1145\/1999320.1999327"},{"key":"e_1_3_5_43_1","volume-title":"International Conference on Learning Representations","author":"Kumar A.","year":"2021","unstructured":"Kumar, A., et\u00a0al., 2021. Should i run offline reinforcement learning or behavioral cloning? In: International Conference on Learning Representations."},{"issue":"5","key":"e_1_3_5_44_1","first-page":"73","article-title":"A survey on shortest path routing algorithms for public transport travel","volume":"9","author":"Kumari S.M.","year":"2010","unstructured":"Kumari, S.M., and Geethanjali, N., 2010. A survey on shortest path routing algorithms for public transport travel. Global Journal of Computer Science and Technology, 9 (5), 73\u201376.","journal-title":"Global Journal of Computer Science and Technology"},{"key":"e_1_3_5_45_1","doi-asserted-by":"publisher","DOI":"10.1109\/IJCNN.2010.5596468"},{"key":"e_1_3_5_46_1","doi-asserted-by":"publisher","DOI":"10.3390\/w12082271"},{"key":"e_1_3_5_47_1","unstructured":"Leike J. et\u00a0al. 2017. Ai safety gridworlds. arXiv preprint arXiv:1711.09883 ."},{"key":"e_1_3_5_48_1","doi-asserted-by":"publisher","DOI":"10.1145\/3402818"},{"key":"e_1_3_5_49_1","doi-asserted-by":"publisher","DOI":"10.1145\/3486626.3493430"},{"key":"e_1_3_5_50_1","doi-asserted-by":"publisher","DOI":"10.1007\/s11069-021-04960-x"},{"key":"e_1_3_5_51_1","doi-asserted-by":"publisher","DOI":"10.1109\/JSTARS.2021.3051103"},{"key":"e_1_3_5_52_1","doi-asserted-by":"publisher","DOI":"10.1109\/THMS.2019.2912447"},{"key":"e_1_3_5_53_1","doi-asserted-by":"publisher","DOI":"10.1080\/13658816.2019.1622015"},{"key":"e_1_3_5_54_1","unstructured":"Liang E. et\u00a0al. 2017. Ray rllib: A composable and scalable reinforcement learning library. arXiv preprint arXiv:1712.09381 85."},{"key":"e_1_3_5_55_1","unstructured":"Liaw R. et\u00a0al. 2018. Tune: A research platform for distributed model selection and training. arXiv preprint arXiv:1807.05118 ."},{"key":"e_1_3_5_56_1","first-page":"147","article-title":"A review of recent studies on flood evacuation planning","volume":"10","author":"Lim H.","year":"2013","unstructured":"Lim, H., Lim, M.B., and Piantanakulchai, M., 2013. A review of recent studies on flood evacuation planning. Journal of the Eastern Asia Society for Transportation Studies, 10, 147\u2013162.","journal-title":"Journal of the Eastern Asia Society for Transportation Studies"},{"key":"e_1_3_5_57_1","first-page":"18459","article-title":"Behavior from the void: Unsupervised active pre-training","volume":"34","author":"Liu H.","year":"2021","unstructured":"Liu, H., and Abbeel, P., 2021. Behavior from the void: Unsupervised active pre-training. Advances in Neural Information Processing Systems, 34, 18459\u201318473.","journal-title":"Advances in Neural Information Processing Systems"},{"key":"e_1_3_5_58_1","first-page":"189","volume-title":"Annuals of Disaster Prevention Research Institute","author":"Liu Y.","year":"2006","unstructured":"Liu, Y., Hatayama, M., and Okada, N., 2006. Development of an adaptive evacuation route algorithm under flood disaster. Annuals of Disaster Prevention Research Institute, 49, 189\u2013195."},{"key":"e_1_3_5_59_1","doi-asserted-by":"publisher","DOI":"10.1016\/j.robot.2019.02.013"},{"issue":"6","key":"e_1_3_5_60_1","first-page":"99","article-title":"A review and evaluations of shortest path algorithms","volume":"2","author":"Magzhan K.","year":"2013","unstructured":"Magzhan, K., and Jani, H.M., 2013. A review and evaluations of shortest path algorithms. International Journal of Scientific & Technology Research, 2 (6), 99\u2013104.","journal-title":"International Journal of Scientific & Technology Research"},{"key":"e_1_3_5_61_1","unstructured":"Manchanda S. et\u00a0al. 2019. Learning heuristics over large graphs via deep reinforcement learning. arXiv preprint arXiv:1903.03332 ."},{"key":"e_1_3_5_62_1","doi-asserted-by":"publisher","DOI":"10.1016\/j.ijdrr.2018.01.003"},{"key":"e_1_3_5_63_1","doi-asserted-by":"publisher","DOI":"10.1201\/b15991"},{"key":"e_1_3_5_64_1","doi-asserted-by":"publisher","DOI":"10.1016\/j.jobe.2020.101687"},{"key":"e_1_3_5_65_1","doi-asserted-by":"publisher","DOI":"10.1007\/s11276-019-01997-6"},{"key":"e_1_3_5_66_1","first-page":"561","volume-title":"13th USENIX Symposium on Operating Systems Design and Implementation (OSDI 18)","author":"Moritz P.","year":"2018","unstructured":"Moritz, P., et\u00a0al., 2018. Ray: A distributed framework for emerging {AI} applications. In: 13th USENIX Symposium on Operating Systems Design and Implementation (OSDI 18), 561\u2013577."},{"key":"e_1_3_5_67_1","doi-asserted-by":"publisher","DOI":"10.1016\/j.trc.2012.11.005"},{"key":"e_1_3_5_68_1","article-title":"Reinforcement learning for solving the vehicle routing problem","volume":"31","author":"Nazari M.","year":"2018","unstructured":"Nazari, M., et\u00a0al., 2018. Reinforcement learning for solving the vehicle routing problem. Advances in Neural Information Processing Systems, 31,","journal-title":"Advances in Neural Information Processing Systems"},{"key":"e_1_3_5_69_1","unstructured":"NYCOpenData. 2022. 311 service requests from 2010 to present: Nyc open data. Available from: https:\/\/data.cityofnewyork.us\/Social-Services\/311-Service-Requests-from-2010-to-Present\/erm2-nwe9."},{"key":"e_1_3_5_70_1","doi-asserted-by":"publisher","DOI":"10.1016\/j.cie.2013.03.001"},{"key":"e_1_3_5_71_1","doi-asserted-by":"publisher","DOI":"10.1109\/CVPRW.2017.70"},{"key":"e_1_3_5_72_1","doi-asserted-by":"publisher","DOI":"10.3133\/fs02400"},{"key":"e_1_3_5_73_1","doi-asserted-by":"publisher","DOI":"10.1109\/AUTEEE48671.2019.9033166"},{"key":"e_1_3_5_74_1","doi-asserted-by":"crossref","unstructured":"Rossi R.A. and Ahmed N.K. 2015. The network data repository with interactive graph analytics and visualization. In : AAAI'15: Proceedings of the Twenty-Ninth AAAI Conference on Artificial Intelligence . Available from: https:\/\/networkrepository.com.","DOI":"10.1609\/aaai.v29i1.9277"},{"key":"e_1_3_5_75_1","doi-asserted-by":"publisher","DOI":"10.1007\/s11069-013-0702-2"},{"key":"e_1_3_5_76_1","unstructured":"Savinov N. et\u00a0al. 2018. Episodic curiosity through reachability. arXiv preprint arXiv:1810.02274 ."},{"key":"e_1_3_5_77_1","doi-asserted-by":"publisher","DOI":"10.1016\/S1364-6613(99)01327-3"},{"key":"e_1_3_5_78_1","first-page":"1889","volume-title":"International conference on machine learning.","author":"Schulman J.","year":"2015","unstructured":"Schulman, J., et\u00a0al., 2015. Trust region policy optimization. In: International conference on machine learning. PMLR, 1889\u20131897."},{"key":"e_1_3_5_79_1","unstructured":"Schulman J. et\u00a0al. 2017. Proximal policy optimization algorithms. arXiv preprint arXiv:1707.06347 ."},{"key":"e_1_3_5_80_1","first-page":"9443","volume-title":"International Conference on Machine Learning","author":"Seo Y.","year":"2021","unstructured":"Seo, Y., et\u00a0al., 2021. State entropy maximization with random encoders for efficient exploration. In: International Conference on Machine Learning. PMLR, 9443\u20139454."},{"key":"e_1_3_5_81_1","doi-asserted-by":"publisher","DOI":"10.1109\/TSMC.2020.2967936"},{"key":"e_1_3_5_82_1","doi-asserted-by":"publisher","DOI":"10.1109\/MITS.2023.3265596"},{"key":"e_1_3_5_83_1","doi-asserted-by":"publisher","DOI":"10.1109\/ACCESS.2020.2985295"},{"key":"e_1_3_5_84_1","doi-asserted-by":"publisher","DOI":"10.1080\/01966324.2003.10737616"},{"key":"e_1_3_5_85_1","unstructured":"Sohn S. et\u00a0al. 2021. Shortest-path constrained reinforcement learning for sparse reward tasks. arXiv preprint arXiv:2107.06405 ."},{"key":"e_1_3_5_86_1","doi-asserted-by":"publisher","DOI":"10.1109\/ACCESS.2020.3034524"},{"key":"e_1_3_5_87_1","first-page":"665","volume-title":"IEEE International Conference on Networking, Sensing and Control","volume":"1","author":"Su M.C.","year":"2004","unstructured":"Su, M.C., et\u00a0al., 2004. A reinforcement-learning approach to robot navigation. IEEE International Conference on Networking, Sensing and Control, 1, 665\u2013669."},{"key":"e_1_3_5_88_1","volume-title":"Reinforcement learning: An introduction","author":"Sutton R.S.","year":"2018","unstructured":"Sutton, R.S., and Barto, A.G., 2018. Reinforcement learning: An introduction. London: MIT press."},{"key":"e_1_3_5_89_1","doi-asserted-by":"publisher","DOI":"10.1080\/21642583.2018.1509746"},{"key":"e_1_3_5_90_1","doi-asserted-by":"publisher","DOI":"10.1109\/SBCCI.2016.7724048"},{"key":"e_1_3_5_91_1","first-page":"851","volume-title":"Recent Trends in Product Design and Intelligent Manufacturing Systems: Select Proceedings of IPDIMS 2021","author":"Tyagi N.","year":"2022","unstructured":"Tyagi, N., Singh, J., and Singh, S., 2022. A review of routing algorithms for intelligent route planning and path optimization in road navigation. Recent Trends in Product Design and Intelligent Manufacturing Systems: Select Proceedings of IPDIMS 2021, 851\u2013860."},{"key":"e_1_3_5_92_1","doi-asserted-by":"publisher","DOI":"10.1080\/02626667.2020.1810254"},{"key":"e_1_3_5_93_1","doi-asserted-by":"publisher","DOI":"10.1109\/AERO.2019.8742226"},{"key":"e_1_3_5_94_1","doi-asserted-by":"publisher","DOI":"10.1145\/3447548.3467070"},{"key":"e_1_3_5_95_1","article-title":"Exponentially weighted imitation learning for batched historical data","volume":"31","author":"Wang Q.","year":"2018","unstructured":"Wang, Q., et\u00a0al., 2018. Exponentially weighted imitation learning for batched historical data. Advances in Neural Information Processing Systems, 31.","journal-title":"Advances in Neural Information Processing Systems"},{"key":"e_1_3_5_96_1","doi-asserted-by":"publisher","DOI":"10.1109\/ACCESS.2019.2920913"},{"key":"e_1_3_5_97_1","doi-asserted-by":"publisher","DOI":"10.1016\/j.neucom.2009.04.005"},{"key":"e_1_3_5_98_1","doi-asserted-by":"publisher","DOI":"10.1007\/BF00992698"},{"key":"e_1_3_5_99_1","doi-asserted-by":"publisher","DOI":"10.1109\/ACCESS.2017.2769666"},{"key":"e_1_3_5_100_1","unstructured":"Wu J. 2021. Mapping hurricane Ida\u2019s impact. Available from: https:\/\/sustainabilityandthecity.commons.gc.cuny.edu\/2021\/09\/20\/mapping-flooding-from-hurricane-ida\/."},{"key":"e_1_3_5_101_1","doi-asserted-by":"publisher","DOI":"10.1016\/j.eng.2022.05.017"},{"key":"e_1_3_5_102_1","doi-asserted-by":"crossref","unstructured":"Xiong W. Hoang T. and Wang W.Y. 2017. Deeppath: A reinforcement learning method for knowledge graph reasoning. arXiv preprint arXiv:1707.06690 .","DOI":"10.18653\/v1\/D17-1060"},{"key":"e_1_3_5_103_1","doi-asserted-by":"publisher","DOI":"10.1016\/j.jhydrol.2020.125201"},{"key":"e_1_3_5_104_1","doi-asserted-by":"publisher","DOI":"10.1109\/ICDCS47774.2020.00033"},{"key":"e_1_3_5_105_1","article-title":"Evacuation route planning","author":"Yang K.","year":"2017","unstructured":"Yang, K., and Shekhar, S., 2017. Evacuation route planning. In ACM SIGSPATIAL 2017.","journal-title":"ACM SIGSPATIAL 2017"},{"key":"e_1_3_5_106_1","doi-asserted-by":"crossref","unstructured":"Yin Z. Li D. and Goldberg D.W. 2023. Is ChatGPT a game changer for geocoding \u2013 a benchmark for geocoding address parsing techniques. arXiv preprint arXiv:2310.14360.","DOI":"10.1145\/3615890.3628538"},{"key":"e_1_3_5_107_1","doi-asserted-by":"publisher","DOI":"10.1145\/3318236.3318240"},{"key":"e_1_3_5_108_1","doi-asserted-by":"publisher","DOI":"10.3390\/en15010247"},{"key":"e_1_3_5_109_1","doi-asserted-by":"publisher","DOI":"10.1504\/IJGUC.2016.073776"},{"key":"e_1_3_5_110_1","doi-asserted-by":"publisher","DOI":"10.1007\/s11069-015-2134-7"},{"key":"e_1_3_5_111_1","doi-asserted-by":"publisher","DOI":"10.1080\/13658816.2014.908472"},{"key":"e_1_3_5_112_1","doi-asserted-by":"publisher","DOI":"10.1080\/17538947.2018.1543363"}],"container-title":["International Journal of Geographical Information Science"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/www.tandfonline.com\/doi\/pdf\/10.1080\/13658816.2023.2279975","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2024,9,24]],"date-time":"2024-09-24T23:28:49Z","timestamp":1727220529000},"score":1,"resource":{"primary":{"URL":"https:\/\/www.tandfonline.com\/doi\/full\/10.1080\/13658816.2023.2279975"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2023,12,11]]},"references-count":111,"journal-issue":{"issue":"2","published-print":{"date-parts":[[2024,2]]}},"alternative-id":["10.1080\/13658816.2023.2279975"],"URL":"https:\/\/doi.org\/10.1080\/13658816.2023.2279975","relation":{},"ISSN":["1365-8816","1362-3087"],"issn-type":[{"value":"1365-8816","type":"print"},{"value":"1362-3087","type":"electronic"}],"subject":[],"published":{"date-parts":[[2023,12,11]]},"assertion":[{"value":"The publishing and review policy for this title is described in its Aims & Scope.","order":1,"name":"peerreview_statement","label":"Peer Review Statement"},{"value":"http:\/\/www.tandfonline.com\/action\/journalInformation?show=aimsScope&journalCode=tgis20","URL":"http:\/\/www.tandfonline.com\/action\/journalInformation?show=aimsScope&journalCode=tgis20","order":2,"name":"aims_and_scope_url","label":"Aim & Scope"},{"value":"2023-02-02","order":0,"name":"received","label":"Received","group":{"name":"publication_history","label":"Publication History"}},{"value":"2023-10-31","order":1,"name":"revised","label":"Revised","group":{"name":"publication_history","label":"Publication History"}},{"value":"2023-10-31","order":2,"name":"accepted","label":"Accepted","group":{"name":"publication_history","label":"Publication History"}},{"value":"2023-12-11","order":3,"name":"published","label":"Published","group":{"name":"publication_history","label":"Publication History"}}]}}