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A two-level process is developed to identify the integrated DBS\u2013metro trips. Then, DBS trip data, metro passenger data, socioeconomic data, and built environment data in Shanghai are used to analyze the spatiotemporal characteristics of integrated trips and the correlations between the integrated trips and the explanatory variables. Next, multicollinearity tests and autocorrelation tests are conducted to select the best explanatory variables. Finally, a geographically and temporally weighted regression (GTWR) model is adopted to examine the determinants of integrated trips over space and time. The results show that the integrated trips account for 16.8% of total DBS trips and that departure-transfer trips are greater than arrival-transfer trips. Moreover, the integrated trips are concentrated in the central area of the city. In terms of impact factors, it is found that GDP, government count, and restaurant count are negatively correlated with the number of integrated trips, while house price, entropy of land use, transfer accessibility index, and metro passenger flow show positive relationships. In addition, the results show that the GTWR model outperforms the OLS model and the GWR model.<\/jats:p>","DOI":"10.3390\/ijgi13040108","type":"journal-article","created":{"date-parts":[[2024,3,25]],"date-time":"2024-03-25T12:28:06Z","timestamp":1711369686000},"page":"108","update-policy":"https:\/\/doi.org\/10.3390\/mdpi_crossmark_policy","source":"Crossref","is-referenced-by-count":13,"title":["Exploring Travel Mobility in Integrated Usage of Dockless Bike-Sharing and the Metro Based on Multisource Data"],"prefix":"10.3390","volume":"13","author":[{"ORCID":"https:\/\/orcid.org\/0000-0003-2220-4859","authenticated-orcid":false,"given":"Hui","family":"Zhang","sequence":"first","affiliation":[{"name":"School of Transportation Engineering, Shandong Jianzhu University, Jinan 250101, China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Yu","family":"Cui","sequence":"additional","affiliation":[{"name":"School of Transportation Engineering, Shandong Jianzhu University, Jinan 250101, China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Yanjun","family":"Liu","sequence":"additional","affiliation":[{"name":"College of Transportation Engineering, Tongji University, 4800 Cao\u2019an Road, Shanghai 201804, China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Jianmin","family":"Jia","sequence":"additional","affiliation":[{"name":"School of Transportation Engineering, Shandong Jianzhu University, Jinan 250101, China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Baiying","family":"Shi","sequence":"additional","affiliation":[{"name":"School of Transportation Engineering, Shandong Jianzhu University, Jinan 250101, China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Xiaohua","family":"Yu","sequence":"additional","affiliation":[{"name":"School of Transportation Engineering, Shandong Jianzhu University, Jinan 250101, China"}],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"1968","published-online":{"date-parts":[[2024,3,24]]},"reference":[{"key":"ref_1","first-page":"529","article-title":"Exploring the equity performance of bike-sharing systems with disaggregated data: A story of southern Tampa","volume":"130","author":"Chen","year":"2019","journal-title":"Transp. Res. A"},{"key":"ref_2","first-page":"52","article-title":"Analyzing the structural properties of bike-sharing networks: Evidence from the United States, Canada, and China","volume":"140","author":"Wu","year":"2020","journal-title":"Transp. Res. A"},{"key":"ref_3","doi-asserted-by":"crossref","first-page":"103490","DOI":"10.1016\/j.jtrangeo.2022.103490","article-title":"The social sustainability of cycling: Assessing equity in the accessibility of bike-sharing services","volume":"106","author":"Giuffrida","year":"2023","journal-title":"J. Transp. Geogr."},{"key":"ref_4","doi-asserted-by":"crossref","first-page":"104554","DOI":"10.1016\/j.cities.2023.104554","article-title":"Understanding bike-sharing mobility in response to the COVID-19 pandemic","volume":"142","author":"Jia","year":"2023","journal-title":"Cities"},{"key":"ref_5","doi-asserted-by":"crossref","first-page":"357","DOI":"10.1016\/j.scs.2018.08.013","article-title":"Evaluation of urban public transport priority performance based on the improved TOPSIS method: A case study of Wuhan","volume":"43","author":"Zhang","year":"2018","journal-title":"Sustain. Cities Soc."},{"key":"ref_6","doi-asserted-by":"crossref","first-page":"102895","DOI":"10.1016\/j.cities.2020.102895","article-title":"Dockless bike sharing alleviates road congestion by complementing subway travel: Evidence from Beijing","volume":"107","author":"Fan","year":"2020","journal-title":"Cities"},{"key":"ref_7","doi-asserted-by":"crossref","first-page":"103032","DOI":"10.1016\/j.jtrangeo.2021.103032","article-title":"Exploring the spatial variations of transfer distance between dockless bike-sharing systems and metro","volume":"92","author":"Li","year":"2021","journal-title":"J. Transp. Geogr."},{"key":"ref_8","doi-asserted-by":"crossref","unstructured":"Wu, H., Wang, Y.H., Sun, Y.Q., Yin, D.D., Li, Z.X., and Luo, X.Y. (2023). Identification and spatiotemporal analysis of bikesharing-metro integration cycling. ISPRS Int. J. Geo-Inf., 12.","DOI":"10.3390\/ijgi12040166"},{"key":"ref_9","doi-asserted-by":"crossref","first-page":"102335","DOI":"10.1016\/j.trd.2020.102335","article-title":"Built environment effects on the integration of dockless bike-sharing and the metro","volume":"83","author":"Guo","year":"2020","journal-title":"Transp. Res. D"},{"key":"ref_10","doi-asserted-by":"crossref","first-page":"104010","DOI":"10.1016\/j.scs.2022.104010","article-title":"Concordance between regional functions and mobility features using bike-sharing and land use data near metro stations","volume":"84","author":"Liu","year":"2022","journal-title":"Sustain. Cities Soc."},{"key":"ref_11","doi-asserted-by":"crossref","first-page":"24","DOI":"10.1016\/j.tbs.2022.11.002","article-title":"Determining factors affecting public bike ridership and its spatial change before and after COVID-19","volume":"31","author":"Kim","year":"2023","journal-title":"Travel Behav. Soc."},{"key":"ref_12","doi-asserted-by":"crossref","first-page":"123273","DOI":"10.1016\/j.jclepro.2020.123273","article-title":"Factors influencing the access duration of free-floating bike sharing as a feeder to the metro in Shenzhen","volume":"277","author":"Li","year":"2020","journal-title":"J. Clean. Prod."},{"key":"ref_13","doi-asserted-by":"crossref","first-page":"103569","DOI":"10.1016\/j.jtrangeo.2023.103569","article-title":"How public shared bike can assist first and last mile accessibility: A case study of the MRT system in Taipei city, Taiwan","volume":"108","author":"Yen","year":"2023","journal-title":"J. Transp. Geogr."},{"key":"ref_14","doi-asserted-by":"crossref","first-page":"102006","DOI":"10.1016\/j.compenvurbsys.2023.102006","article-title":"Understanding dockless bike-sharing spatiotemporal travel patterns: Evidence from ten cities in China","volume":"104","author":"Meng","year":"2023","journal-title":"Comput. Environ. Urban"},{"key":"ref_15","first-page":"103442","article-title":"Exploring intra-urban human mobility and daily activity patterns from the lens of dockless bike-sharing: A case study of Beijing, China","volume":"122","author":"Xu","year":"2023","journal-title":"Int. J. Appl. Earth Obs. Geoinf."},{"key":"ref_16","doi-asserted-by":"crossref","first-page":"103175","DOI":"10.1016\/j.jtrangeo.2021.103175","article-title":"The interplay between dockless bikeshare and bus for small-size cities in the US: A case study of Ithaca","volume":"96","author":"Qiu","year":"2021","journal-title":"J. Transp. Geogr."},{"key":"ref_17","first-page":"63","article-title":"Is tech-enhanced bikeshare a substitute or complement for public transit?","volume":"155","author":"Martin","year":"2022","journal-title":"Transp. Res. A"},{"key":"ref_18","first-page":"73","article-title":"Effect of built environment on shared bicycle reallocation: A case study on Nanjing, China","volume":"128","author":"Zhao","year":"2019","journal-title":"Transp. Res. A"},{"key":"ref_19","doi-asserted-by":"crossref","first-page":"135207","DOI":"10.1016\/j.jclepro.2022.135207","article-title":"The effect of traffic status on dockless bicycle-sharing: Evidence from Shanghai, China","volume":"381","author":"Zheng","year":"2022","journal-title":"J. Clean. Prod."},{"key":"ref_20","doi-asserted-by":"crossref","first-page":"103588","DOI":"10.1016\/j.jtrangeo.2023.103588","article-title":"Does bike-share enhance transport equity? Evidence from the Sacramento, California region","volume":"109","author":"Mohiuddin","year":"2023","journal-title":"J. Transp. Geogr."},{"key":"ref_21","doi-asserted-by":"crossref","first-page":"104814","DOI":"10.1016\/j.scs.2023.104814","article-title":"Exploring year-to-year spatiotemporal changes in cycling patterns for bike-sharing system in the pre-, during and post-pandemic periods","volume":"98","author":"Shi","year":"2023","journal-title":"Sustain. Cities Soc."},{"key":"ref_22","doi-asserted-by":"crossref","first-page":"134917","DOI":"10.1016\/j.jclepro.2022.134917","article-title":"Temporal heterogeneous effects of land-use on dockless bike-sharing usage under transit-oriented development context: The case of Beijing","volume":"380","author":"Liu","year":"2022","journal-title":"J. Clean. Prod."},{"key":"ref_23","first-page":"46","article-title":"Bicycle-metro integration in a growing city: The determinants of cycling as a transfer mode in metro station areas in Beijing","volume":"99","author":"Zhao","year":"2017","journal-title":"Transp. Res. A"},{"key":"ref_24","doi-asserted-by":"crossref","first-page":"04022017","DOI":"10.1061\/JTEPBS.0000663","article-title":"Mode choice between bus and bike-sharing for the last-mile connection to urban rail transit","volume":"148","author":"Liu","year":"2022","journal-title":"J. Transp. Eng. A"},{"key":"ref_25","doi-asserted-by":"crossref","first-page":"308","DOI":"10.1080\/15568318.2016.1253802","article-title":"Public bicycle as a feeder mode to rail transit in China: The role of gender, age, income, trip purpose, and bicycle theft experience","volume":"11","author":"Ji","year":"2017","journal-title":"Int. J. Sustain. Transp."},{"key":"ref_26","doi-asserted-by":"crossref","first-page":"39","DOI":"10.1016\/j.trc.2019.04.006","article-title":"A model framework for discovering the spatio-temporal usage patterns of public free-floating bike-sharing system","volume":"103","author":"Du","year":"2019","journal-title":"Transp. Res. C"},{"key":"ref_27","doi-asserted-by":"crossref","first-page":"101598","DOI":"10.1016\/j.scs.2019.101598","article-title":"The analysis of catchment areas of metro stations using trajectory data generated by dockless shared bikes","volume":"49","author":"Lin","year":"2019","journal-title":"Sustain. Cities Soc."},{"key":"ref_28","doi-asserted-by":"crossref","first-page":"102787","DOI":"10.1016\/j.jtrangeo.2020.102787","article-title":"Exploring travel patterns and trip purposes of dockless bike-sharing by analyzing massive bike-sharing data in Shanghai, China","volume":"87","author":"Xing","year":"2020","journal-title":"J. Transp. Geogr."},{"key":"ref_29","doi-asserted-by":"crossref","first-page":"103162","DOI":"10.1016\/j.scs.2021.103162","article-title":"Understanding spatio-temporal travel demand of free-floating bike sharing connecting with metro stations","volume":"74","author":"Yu","year":"2021","journal-title":"Sustain. Cities Soc."},{"key":"ref_30","doi-asserted-by":"crossref","first-page":"136602","DOI":"10.1016\/j.jclepro.2023.136602","article-title":"Understanding spatial-temporal travel demand of private and shared e-bikes as a feeder mode of metro stations","volume":"398","author":"Liu","year":"2023","journal-title":"J. Clean. Prod."},{"key":"ref_31","doi-asserted-by":"crossref","first-page":"04023013","DOI":"10.1061\/JUPDDM.UPENG-4287","article-title":"Identifying the spatiotemporal metro-to-bus transfer deserts in Shanghai, China","volume":"149","author":"Shi","year":"2023","journal-title":"J. Urban. Plan. Dev."},{"key":"ref_32","doi-asserted-by":"crossref","first-page":"102961","DOI":"10.1016\/j.trd.2021.102961","article-title":"The mobility pattern of dockless bike sharing: A four-month study in Singapore","volume":"98","author":"Zhang","year":"2021","journal-title":"Transp. Res. D"},{"key":"ref_33","doi-asserted-by":"crossref","first-page":"101483","DOI":"10.1016\/j.compenvurbsys.2020.101483","article-title":"Understanding spatio-temporal heterogeneity of bike-sharing and scooter-sharing mobility","volume":"81","author":"Zhu","year":"2020","journal-title":"Comput. Environ. Urban"},{"key":"ref_34","doi-asserted-by":"crossref","unstructured":"Li, Y.X., Dai, Z.X., Zhu, L.N., and Liu, X.L. (2019). Analysis of spatial and temporal characteristics of citizens\u2019 mobility based on E-bike GPS trajectory data in Tengzhou city, China. Sustainability, 11.","DOI":"10.3390\/su11185003"},{"key":"ref_35","doi-asserted-by":"crossref","first-page":"125444","DOI":"10.1016\/j.physa.2020.125444","article-title":"Extreme unbalanced mobility network in bike sharing system","volume":"563","author":"Zheng","year":"2021","journal-title":"Phys. A"},{"key":"ref_36","doi-asserted-by":"crossref","first-page":"101361","DOI":"10.1016\/j.compenvurbsys.2019.101361","article-title":"A spatiotemporal and graph-based analysis of dockless bike sharing patterns to understand urban flows over the last mile","volume":"77","author":"Yang","year":"2019","journal-title":"Comput. Environ. Urban"},{"key":"ref_37","doi-asserted-by":"crossref","first-page":"1364","DOI":"10.1016\/j.jclepro.2019.05.065","article-title":"Dynamic evolution of demand fluctuation in bike-sharing systems for green travel","volume":"231","author":"Tian","year":"2019","journal-title":"J. Clean. Prod."},{"key":"ref_38","doi-asserted-by":"crossref","first-page":"127930","DOI":"10.1016\/j.jclepro.2021.127930","article-title":"Green travel mobility of dockless bike-sharing based on trip data in big cities: A spatial network analysis","volume":"313","author":"Zhang","year":"2021","journal-title":"J. Clean. Prod."},{"key":"ref_39","doi-asserted-by":"crossref","first-page":"101521","DOI":"10.1016\/j.compenvurbsys.2020.101521","article-title":"Using graph structural information about flows to enhance short-term demand prediction in bike-sharing systems","volume":"83","author":"Yang","year":"2020","journal-title":"Comput. Environ. Urban"},{"key":"ref_40","doi-asserted-by":"crossref","first-page":"22907","DOI":"10.1007\/s11042-020-08803-y","article-title":"Demand prediction for a public bike sharing program based on spatio-temporal graph convolutional networks","volume":"80","author":"Xiao","year":"2021","journal-title":"Multimed. Tools Appl."},{"key":"ref_41","doi-asserted-by":"crossref","first-page":"103984","DOI":"10.1016\/j.trc.2022.103984","article-title":"Improving short-term bike sharing demand forecast through an irregular convolutional neural network","volume":"147","author":"Li","year":"2023","journal-title":"Transp. Res. C"},{"key":"ref_42","doi-asserted-by":"crossref","unstructured":"Dastjerdi, A.M., and Morency, C. (2022). Bike-sharing demand prediction at community level under COVID-19 using deep learning. Sensors, 22.","DOI":"10.3390\/s22031060"},{"key":"ref_43","doi-asserted-by":"crossref","first-page":"102997","DOI":"10.1016\/j.jtrangeo.2021.102997","article-title":"Examining spatiotemporal changing patterns of bike-sharing usage during COVID-19 pandemic","volume":"91","author":"Hu","year":"2021","journal-title":"J. Transp. Geogr."},{"key":"ref_44","doi-asserted-by":"crossref","first-page":"101703","DOI":"10.1016\/j.compenvurbsys.2021.101703","article-title":"How did micro-mobility change in response to COVID-19 pandemic? A case study based on spatial-temporal-semantic analytics","volume":"90","author":"Li","year":"2021","journal-title":"Comput. Environ. Urban"},{"key":"ref_45","doi-asserted-by":"crossref","first-page":"05021031","DOI":"10.1061\/(ASCE)UP.1943-5444.0000728","article-title":"Investigating the impact of weather conditions and land use on dockless bike-share trips in Shanghai, China","volume":"147","author":"Li","year":"2021","journal-title":"J. Urban. Plan. Dev."},{"key":"ref_46","doi-asserted-by":"crossref","first-page":"103063","DOI":"10.1016\/j.cities.2020.103063","article-title":"The effects of built environment spatial variation on bike-sharing usage: A case study of Suzhou, China","volume":"110","author":"Wu","year":"2021","journal-title":"Cities"},{"key":"ref_47","doi-asserted-by":"crossref","first-page":"104348","DOI":"10.1016\/j.scs.2022.104348","article-title":"The spatially varying effects of built environment characteristics on the integrated usage of dockless bike-sharing and public transport","volume":"89","author":"Zhou","year":"2023","journal-title":"Sustain. Cities Soc."},{"key":"ref_48","doi-asserted-by":"crossref","first-page":"2866","DOI":"10.1111\/tgis.12784","article-title":"Analysis of spatiotemporal mobility of shared-bike usage during COVID-19 pandemic in Beijing","volume":"25","author":"Chai","year":"2021","journal-title":"Trans. GIS"},{"key":"ref_49","doi-asserted-by":"crossref","first-page":"1087","DOI":"10.1080\/15568318.2023.2168576","article-title":"What determines modal substitution between bike-sharing and public transit? Evidence from Columbus, Ohio during the COVID-19 pandemic","volume":"17","author":"Kwon","year":"2023","journal-title":"Int. J. Sustain. Transp."},{"key":"ref_50","doi-asserted-by":"crossref","first-page":"104024","DOI":"10.1016\/j.cities.2022.104024","article-title":"Examining the causal relationship between bike-share and public transit in response to the COVID-19 pandemic","volume":"131","author":"Kim","year":"2022","journal-title":"Cities"},{"key":"ref_51","doi-asserted-by":"crossref","first-page":"102828","DOI":"10.1016\/j.jtrangeo.2020.102828","article-title":"An empirical analysis of dockless bike-sharing utilization and its explanatory factors: Case study from Shanghai, China","volume":"88","author":"Li","year":"2020","journal-title":"J. Transp. Geogr."},{"key":"ref_52","doi-asserted-by":"crossref","first-page":"51","DOI":"10.1016\/j.tranpol.2022.10.004","article-title":"Examining the varying influences of built environment on bike-sharing commuting: Empirical evidence from Shanghai","volume":"129","author":"Bi","year":"2022","journal-title":"Transp. Policy"},{"key":"ref_53","doi-asserted-by":"crossref","first-page":"175","DOI":"10.1016\/S0038-0121(01)00004-0","article-title":"Strategic analysis of transport coverage","volume":"35","author":"Murray","year":"2001","journal-title":"Socio-Econ. Plan. Sci."},{"key":"ref_54","doi-asserted-by":"crossref","first-page":"31","DOI":"10.1016\/j.jtrangeo.2008.12.002","article-title":"Quantifying spatial gaps in public transport supply based on social needs","volume":"18","author":"Currie","year":"2010","journal-title":"J. Transp. Geogr."},{"key":"ref_55","doi-asserted-by":"crossref","first-page":"236","DOI":"10.1016\/j.jtrangeo.2016.12.016","article-title":"Assessing equity in transport accessibility to work and study: The Bogota region","volume":"58","author":"Guzman","year":"2017","journal-title":"J. Transp. Geogr."},{"key":"ref_56","doi-asserted-by":"crossref","first-page":"163","DOI":"10.1016\/j.compenvurbsys.2019.05.002","article-title":"Public transport accessibility measure based on weighted door to door travel time","volume":"76","author":"Tahmasbi","year":"2019","journal-title":"Comput. Environ. Urban"},{"key":"ref_57","doi-asserted-by":"crossref","first-page":"474","DOI":"10.1016\/j.scs.2018.11.042","article-title":"Evaluating the urban land use plan with transit accessibility","volume":"45","author":"Xu","year":"2019","journal-title":"Sustain. Cities Soc."},{"key":"ref_58","first-page":"737","article-title":"Urban transportation systems: Choice for communities","volume":"55","author":"Grava","year":"2003","journal-title":"IEEE Trans. Autom. Control"},{"key":"ref_59","doi-asserted-by":"crossref","first-page":"100","DOI":"10.1016\/j.trd.2019.09.014","article-title":"Impacts of free-floating bikesharing system on public transit ridership","volume":"76","author":"Ma","year":"2019","journal-title":"Transp. Res. D"},{"key":"ref_60","doi-asserted-by":"crossref","unstructured":"Li, X., Liu, Z., and Ma, X. (2022). Measuring access and egress distance and catchment area of multiple feeding modes for metro transferring using survey data. Sustainability, 14.","DOI":"10.3390\/su14052841"},{"key":"ref_61","doi-asserted-by":"crossref","first-page":"128","DOI":"10.1016\/j.tbs.2022.01.002","article-title":"Perceived accessibility: How access to dockless bike-sharing impacts activity participation","volume":"27","author":"Chen","year":"2022","journal-title":"Travel Behav. Soc."},{"key":"ref_62","doi-asserted-by":"crossref","first-page":"179","DOI":"10.1016\/j.trd.2014.11.004","article-title":"Metro commuters\u2019 satisfaction in multi-type access and egress transferring groups","volume":"34","author":"Yang","year":"2015","journal-title":"Transp. Res. D"},{"key":"ref_63","doi-asserted-by":"crossref","unstructured":"Paydar, M., Fard, A.K., and Khaghani, M.M. (2020). Walking toward metro stations: The contribution of distance, attitudes, and perceived built environment. Sustainability, 12.","DOI":"10.3390\/su122410291"},{"key":"ref_64","doi-asserted-by":"crossref","first-page":"70","DOI":"10.1080\/03081060.2018.1541283","article-title":"Recognizing metro-bus transfers from smart card data","volume":"42","author":"Zhao","year":"2019","journal-title":"Transp. Plan. Technol."},{"key":"ref_65","doi-asserted-by":"crossref","first-page":"550","DOI":"10.1111\/cag.12830","article-title":"Identifying metro station types based on transfer purposes: An application of bike-sharing data in Xiamen, China","volume":"67","author":"Shao","year":"2023","journal-title":"Can. Geogr.-Geogr. Can."},{"key":"ref_66","doi-asserted-by":"crossref","first-page":"104760","DOI":"10.1016\/j.scs.2023.104760","article-title":"Revealing the travel community in the integrated system of free-floating bike and metro","volume":"97","author":"Zhong","year":"2023","journal-title":"Sustain. Cities Soc."},{"key":"ref_67","doi-asserted-by":"crossref","unstructured":"Wu, X.Y., Lu, Y., Lin, Y.Y., and Yang, Y.Y. (2019). Measuring the destination accessibility of cycling transfer trips in metro station areas: A big data approach. Int. J. Environ. Res. Public Health, 16.","DOI":"10.3390\/ijerph16152641"},{"key":"ref_68","doi-asserted-by":"crossref","first-page":"103918","DOI":"10.1016\/j.scs.2022.103918","article-title":"Analysis of integrated uses of dockless bike sharing and ridesourcing with metro: A case study of Shanghai, China","volume":"82","author":"Liu","year":"2022","journal-title":"Sustain. Cities Soc."},{"key":"ref_69","unstructured":"(2018, August 01). Housing Price Report. Available online: https:\/\/shanghai.anjuke.com\/?from=AJKWebCity."},{"key":"ref_70","doi-asserted-by":"crossref","first-page":"45","DOI":"10.1016\/j.jtrangeo.2018.04.013","article-title":"Spatial variations in urban public ridership derived from GPS trajectories and smart card data","volume":"69","author":"Tu","year":"2018","journal-title":"J. Transp. Geogr."},{"key":"ref_71","doi-asserted-by":"crossref","first-page":"915","DOI":"10.1177\/0042098015571057","article-title":"A comparative assessment of the factors associated with station-level streetcar versus light rail transit ridership in the United States","volume":"53","author":"Brown","year":"2016","journal-title":"Urban Stud."},{"key":"ref_72","first-page":"103728","article-title":"Substitutes or complements? Examining effects of urban rail transit on bus ridership using longitudinal city-level data","volume":"174","author":"Yang","year":"2023","journal-title":"Transp. Res. A"},{"key":"ref_73","doi-asserted-by":"crossref","first-page":"103904","DOI":"10.1016\/j.landurbplan.2020.103904","article-title":"Using geographically weighted models to explore how crowdsourced landscape perceptions relate to landscape physical characteristics","volume":"203","author":"Chien","year":"2020","journal-title":"Landsc. Urban Plan."},{"key":"ref_74","doi-asserted-by":"crossref","first-page":"281","DOI":"10.1111\/j.1538-4632.1996.tb00936.x","article-title":"Geographically weighted regression: A method for exploring spatial nonstationarity","volume":"28","author":"Brunsdon","year":"1996","journal-title":"Geogr. Anal."},{"key":"ref_75","doi-asserted-by":"crossref","first-page":"383","DOI":"10.1080\/13658810802672469","article-title":"Geographically and temporally weighted regression for modeling spatio-temporal variation in house prices","volume":"24","author":"Huang","year":"2010","journal-title":"Int. J. Geogr. Inf. Sci."},{"key":"ref_76","first-page":"148","article-title":"A comparison in travel patterns and determinants of user demand between docked and dockless bike-sharing systems using multi-sourced data","volume":"139","author":"Ma","year":"2020","journal-title":"Transp. Res. A"},{"key":"ref_77","unstructured":"Huang, B., and Wang, J. (2020, April 24). GTWRv1_1_20_May2020.zip. Available online: https:\/\/www.researchgate.net\/publication\/339567248_GTWRv1_1_20_May2020zip."}],"container-title":["ISPRS International Journal of Geo-Information"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/www.mdpi.com\/2220-9964\/13\/4\/108\/pdf","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,10,10]],"date-time":"2025-10-10T14:17:55Z","timestamp":1760105875000},"score":1,"resource":{"primary":{"URL":"https:\/\/www.mdpi.com\/2220-9964\/13\/4\/108"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2024,3,24]]},"references-count":77,"journal-issue":{"issue":"4","published-online":{"date-parts":[[2024,4]]}},"alternative-id":["ijgi13040108"],"URL":"https:\/\/doi.org\/10.3390\/ijgi13040108","relation":{},"ISSN":["2220-9964"],"issn-type":[{"value":"2220-9964","type":"electronic"}],"subject":[],"published":{"date-parts":[[2024,3,24]]}}}