Article
Akcicek C., Misra A., Shirgaokar M., Marshall W. (2023), How Time Inefficient and Uncertain Are Paratransit Trips Compared to Car Trips, Transp. Res. Rec., 036119812311706.
10.1177/03611981231170622Alimo P. K., Agyeman S., Agen-Davis L., Hisseine M. A., Sarfo I. (2024), Lived Transportation Barriers for Persons With Disabilities: Contextualizing the Ghana Disability Law Through the Lenses of Giddens’ Theory of Structuration, J. Transp. Geogr., 118, 103924.
10.1016/j.jtrangeo.2024.103924Awaworyi Churchill S., Smyth R. (2019), Transport Poverty and Subjective Wellbeing, Transp. Res. Part A Policy Pract., 124, 40-54.
10.1016/j.tra.2019.03.004Baele S. J., Brace L., Coan T. G., Naserian E. (2023), Super- (and Hyper-) Posters on Extremist Forums, J. Police Intell. Counter Terror., 18(3), 243-281.
10.1080/18335330.2022.2103386Blondel V. D., Guillaume J.-L., Lambiotte R., Lefebvre E. (2008), Fast Unfolding of Communities in Large Networks, J. Stat. Mech. Theory Exp., 2008(10), P10008.
10.1088/1742-5468/2008/10/P10008Chang S., Gao L., Zhang C., Yu T., Han X., Si B., et al. (2025), Unraveling Metro Mobility Patterns in China: A Multi-City Comparative Study Using Travel Motifs and Entropy Analysis, Chaos Solitons Fractals, 191.
10.1016/j.chaos.2024.115916Chen W., Chen X., Cheng L., Liu X., Chen J. (2022), Delineating Borders of Urban Activity Zones With Free-Floating Bike Sharing Spatial Interaction Network, J. Transp. Geogr., 104.
10.1016/j.jtrangeo.2022.103442Ding S., Zhang M., Xing Y., Lu J. (2022), Revealing Urban Community Structures by Fusing Multisource Transportation Data, J. Transp. Eng. Part A Syst., 148(9), 04022060.
10.1061/JTEPBS.0000704Dong Q.-F., Chen D.-K., Wang T. (2019), Urban Community Structure Detection Based on the OD of Traffic Analysis Zones, Mod. Phys. Lett. B, 33(13), 1950164.
10.1142/S0217984919501641Dorantes L. M., Murauskaite-Bull I. (2023), Revisiting Transport Poverty in Europe Through a Systematic Review, Transp. Res. Procedia, 72, 3861-3868.
10.1016/j.trpro.2023.11.497Du J., Meng C., Liu X. (2024), Analysis of Urban Residents’ Travelling Characteristics and Hotspots Based on Taxi Trajectory Data, Appl. Sci. (Switz.), 14(3).
10.3390/app14031279Egger S. M., Gantschnig B. E., Filippo M., Liechti R., Gemperli A. (2024), Cost and Financing of Paratransit Services and Their Effect on Dissatisfaction With Participation in Daily Activities of Persons With Disabilities, J. Transp. Health, 38.
10.1016/j.jth.2024.101856Egger S. M., Gemperli A., Filippo M., Liechti R., Gantschnig B. E. (2022), The Experiences and Needs of Persons With Disabilities in Using Paratransit Services, Disabil. Health J., 15(4), 101365.
10.1016/j.dhjo.2022.101365Fung P. K. (2019), InfoFlow: A Distributed Algorithm to Detect Communities According to the Map Equation, Big Data Cogn. Comput., 3(3), 42.
10.3390/bdcc3030042Getis A., Ord J. K. (1992), The Analysis of Spatial Association by Use of Distance Statistics, Geogr. Anal., 24(3), 189-206.
10.1111/j.1538-4632.1992.tb00261.xGirvan M., Newman M. E. J. (2002), Community Structure in Social and Biological Networks, Proc. Natl. Acad. Sci. USA, 99(12), 7821-7826.
10.1073/pnas.12265379912060727PMC122977Ha J., Lee S. (2016), A Study on the Designation of Living Zones by Its Spatial Hierarchy Using OD Data and Community Detection Technique: Focused on the 2010 Household Travel Survey Data of the Seoul Metropolitan Area, J. Korea Plan. Assoc., 51(6), 79-98.
10.17208/jkpa.2016.11.51.6.79Jo C. (2024), Disability, Accessibility, and Inclusivity in Mobility: Struggles for the Right of Mobility for Disabled Individuals in South Korea, Disabil. Soc., 39(10), 2740-2746.
10.1080/09687599.2024.2312240Kim K.-W., Yun D.-S., Kim J.-J. (2020a), Travel Demand Analysis of Special Transportation Systems for the Transportation Vulnerable Using Big Data: A Case Study of Daegu Metropolitan City, J. Daegu Gyeongbuk Stud., 19(2), 43-61.
Kim S., Lim H. J., Heo J. (2020b), Analysis of Seoul Living Sphere Using Origin-Destination Data From a Mobile Phone Network, J. Korean Soc. Geospat. Inf. Sci., 28(1), 3-10.
10.7319/kogsis.2020.28.1.003Kuttler T., Moraglio M. (2021), Re-Thinking Mobility Poverty: Understanding Users’ Geographies, Backgrounds and Aptitudes, Routledge, www.routledge.com/
10.4324/9780367333317Kwon K. (2019), Network Community Detection as a Method to Delimitate Functional Regions, J. Korean Geogr. Soc., 54(3), 405-420.
Lau P. L., Koo T. T. R. (2022), Multidimensional Decomposition of Gini Elasticities to Quantify the Spatiotemporality of Travel and Tourism Distribution, Tourism Manage., 88.
10.1016/j.tourman.2021.104422Lee C. D., Koontz, A. M., Cooper, R., Sivakanthan, S., Chernicoff, W., Brunswick, A., et al. (2024), Understanding Travel Considerations and Barriers for People With Disabilities to Using Current Modes of Transportation Through Journey Mapping, Transp. Res. Rec., 2678(5), 271-287.
10.1177/0361198123118873039055859PMC11271742Lee J., Lee S. (2023), Analysis of Characteristics of Call Taxi Usage and Factors Influencing the Waiting Time for the Mobility Disabled in Seoul, Korea: Using the Disability Call Taxi Big Data and Community Detection, J. Korea Plan. Assoc., 58(1), 75-90.
10.17208/jkpa.2023.02.58.1.75Lee Y., Kim H. (2019), An Exploratory Study of the Effect of Mobility on Social Exclusion Among People With Disabilities, Health Soc. Welf. Rev., 39(1), 136-165.
10.15709/hswr.2019.39.1.136Leite D., Baptista D., Ibrahim A. A., Facca E., De Bacco C. (2022), Community Detection in Networks by Dynamical Optimal Transport Formulation, Sci. Rep., 12(1), 16811.
10.1038/s41598-022-20986-y36207412PMC9546897Li X., Ma X., Wilson B. (2021), Beyond Absolute Space: An Exploration of Relative and Relational Space in Shanghai Using Taxi Trajectory Data, J. Transp. Geogr., 93, 103076.
10.1016/j.jtrangeo.2021.103076Litman T. (2017), Evaluating Transportation Equity (Issue 2), Victoria Transp. Policy Inst., www.vtpi.orgInfo@vtpi.org
Liu Q., Hou Z., Yang J. (2022), Detecting Spatial Communities in Vehicle Movements by Combining Multi-Level Merging and Consensus Clustering, Remote Sens., 14(17), 4144.
10.3390/rs14174144Liu X., Gong L., Gong Y., Liu Y. (2015), Revealing Travel Patterns and City Structure With Taxi Trip Data, J. Transp. Geogr., 43, 78-90.
10.1016/j.jtrangeo.2015.01.016Lucas K., Mattioli G., Verlinghieri E., Guzman A. (2016), Transport Poverty and Its Adverse Social Consequences, Proc. Inst. Civ. Eng. Transp., 169(6), 353-365.
10.1680/jtran.15.00073Maeda T. N., Mori J., Hayashi I., Sakimoto T., Sakata I. (2019), Comparative Examination of Network Clustering Methods for Extracting Community Structures of a City From Public Transportation Smart Card Data, IEEE Access, 7, 53377-53391.
10.1109/ACCESS.2019.2911567Newman M. E. J. (2004), Fast Algorithm for Detecting Community Structure in Networks, Phys. Rev. E, 69(6), 066133.
10.1103/PhysRevE.69.066133Nie W.-P., Zhao Z.-D., Cai S.-M., Zhou T. (2021), Understanding the Urban Mobility Community by Taxi Travel Trajectory, Commun. Nonlinear Sci. Numer. Simul., 101, 105863.
10.1016/j.cnsns.2021.105863Ojala M., Garriga G. C. (2010), Permutation Tests for Studying Classifier Performance, J. Mach. Learn. Res., 11(6), 1833-1863.
Park K., Esfahani H. N., Novack V. L., Sheen J., Hadayeghi H., Song Z., Christensen K. (2023), Impacts of Disability on Daily Travel Behaviour: A Systematic Review, Transp. Rev., 43(2), 178-203.
10.1080/01441647.2022.2060371Reichardt J., Bornholdt S. (2006), Statistical Mechanics of Community Detection, Phys. Rev. E, 74(1), 016110.
10.1103/PhysRevE.74.016110Roh H. (2020), A Study on Revision of the Law to Improve the Right to Move of Mobility Disadvantaged Persons and Their Convenience of Movement, Law Rev., 20(3), 163-195.
Rosvall M., Bergstrom C. T. (2008), Maps of Random Walks on Complex Networks Reveal Community Structure, Proc. Natl. Acad. Sci. USA, 105(4), 1118-1123.
10.1073/pnas.070685110518216267PMC2234100Saberi M., Mahmassani H. S., Brockmann D., Hosseini A. (2017), A Complex Network Perspective for Characterizing Urban Travel Demand Patterns: Graph Theoretical Analysis of Large-Scale Origin-Destination Demand Networks, Transp., 44(6), 1383-1402.
10.1007/s11116-016-9706-6Shannon C. E. (1948), A Mathematical Theory of Communication, Bell Syst. Tech. J., 27(3), 379-423.
10.1002/j.1538-7305.1948.tb01338.xShin H., Lee B., Kim M. (2018), Improvements for Operation System Through Traffic Characteristics Analysis of Special Transportation Service, Korean Soc. Transp., 437-411.
Shin H. R. (2019), Improvements for Operation System Through Traffic Characteristics Analysis of Special Transportation Service: The Case of the Daejeon Metropolitan City [Master’s Thesis], Hanbat Natl. Univ.
Smiljanić J., Blocker C., Holmgren A., Edler D., Neuman M., Rosvall M. (2023), Community Detection With the Map Equation and Infomap: Theory and Applications, ArXiv Prepr., arXiv:2311.04036.
Stępniak M., Pritchard J. P., Geurs K. T., Goliszek S. (2019), The Impact of Temporal Resolution on Public Transport Accessibility Measurement: Review and Case Study in Poland, J. Transp. Geogr., 75, 8-24.
10.1016/j.jtrangeo.2019.01.007Sun L., Ling X., He K., Tan Q. (2016), Community Structure in Traffic Zones Based on Travel Demand, Physica A Stat. Mech. Appl., 457, 356-363.
10.1016/j.physa.2016.03.036Terashima M., Clark K. (2021), The Precarious Absence of Disability Perspectives in Planning Research, Urban Plan., 6(1), 120-132.
10.17645/up.v6i1.3612UN General Assembly (2006), Convention on the Rights of Persons With Disabilities (CRPD), United Nations.
United Nations (1966), International Covenant on Civil and Political Rights (ICCPR), United Nations.
Xie C., Yu D., Zheng X., Wang Z., Jiang Z. (2021), Revealing Spatiotemporal Travel Demand and Community Structure Characteristics With Taxi Trip Data: A Case Study of New York City, PLoS ONE, 16(11), e0259694.
10.1371/journal.pone.025969434752503PMC8577771Yu Q., Li W., Yang D., Zhang H. (2020), Mobile Phone Data in Urban Commuting: A Network Community Detection-Based Framework to Unveil the Spatial Structure of Commuting Demand, J. Adv. Transp., 2020(1), 1-15.
10.1155/2020/8835981Yu W. (2019), Discovering Frequent Movement Paths From Taxi Trajectory Data Using Spatially Embedded Networks and Association Rules, IEEE Trans. Intell. Transp. Syst., 20(3), 855-866.
10.1109/TITS.2018.2834573Yuan Z., Lin H., Tang S., Guo R. (2021), Geographically Explicit Network Analysis of Urban Living and Working Interaction Pattern in Shenzhen City, South China, Front. Phys., 9.
10.3389/fphy.2021.795641Zhang L., Lu J., Fu B. B., Li S. B. (2019), Dynamics analysis for the hour-scale based time-varying characteristic of topology complexity in a weighted urban rail transit network. Physica A: Statistical Mechanics and its Applications, 527, 121280.
10.1016/j.physa.2019.121280Zhang Y., Marshall S., Cao M., Manley E., Chen H. (2021a), Discovering the Evolution of Urban Structure Using Smart Card Data: The Case of London, Cities, 112, 103157.
10.1016/j.cities.2021.103157- Publisher :Korean Society of Transportation
- Publisher(Ko) :대한교통학회
- Journal Title :Journal of Korean Society of Transportation
- Journal Title(Ko) :대한교통학회지
- Volume : 43
- No :5
- Pages :591-613
- Received Date : 2025-03-13
- Revised Date : 2025-04-09
- Accepted Date : 2025-05-23
- DOI :https://doi.org/10.7470/jkst.2025.43.5.591


Journal of Korean Society of Transportation







