{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,6,29]],"date-time":"2026-06-29T21:08:50Z","timestamp":1782767330231,"version":"3.54.5"},"reference-count":41,"publisher":"MDPI AG","issue":"12","license":[{"start":{"date-parts":[[2025,11,29]],"date-time":"2025-11-29T00:00:00Z","timestamp":1764374400000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by\/4.0\/"}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["IJGI"],"abstract":"<jats:p>Understanding the spatial heterogeneity of traffic congestion drivers is crucial for data-informed urban planning in tourist cities. This study investigates the spatiotemporal relationship between built environment characteristics and traffic congestion in the central urban area of a major northern Chinese tourist city. We apply a Multiscale Geographically Weighted Regression (MGWR) model to geospatial data across four typical peak periods and benchmark the results against Ordinary Least Squares (OLS) and Geographically Weighted Regression (GWR). The MGWR model demonstrates superior capability in capturing spatial non-stationarity and multiscale effects. The results reveal strong spatiotemporal heterogeneity in the effects of built environment factors on congestion. Intersection density demonstrates a stronger mitigating effect during weekday evening peaks. Catering facilities significantly exacerbate congestion in tourist hotspots. Tourism-related facilities such as hotels and attractions intensify congestion during weekend peaks. Parking availability shows dual impacts, with peripheral parking reducing pressure and central clustering worsening congestion. Our geospatially disaggregated results provide empirical evidence for location-sensitive and temporally adaptive traffic management and urban design strategies. This study highlights the value of MGWR-based spatial modeling in supporting geoinformation-driven urban mobility planning.<\/jats:p>","DOI":"10.3390\/ijgi14120470","type":"journal-article","created":{"date-parts":[[2025,12,3]],"date-time":"2025-12-03T16:47:37Z","timestamp":1764780457000},"page":"470","update-policy":"https:\/\/doi.org\/10.3390\/mdpi_crossmark_policy","source":"Crossref","is-referenced-by-count":3,"title":["Exploring the Relationship Between the Built Environment and Spatiotemporal Heterogeneity of Urban Traffic Congestion During Tourism Peaks: A Case Study of Harbin, China"],"prefix":"10.3390","volume":"14","author":[{"given":"Renyue","family":"Cui","sequence":"first","affiliation":[{"name":"School of Landscape Architecture, Northeast Forestry University, Harbin 150040, China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Jun","family":"Zhang","sequence":"additional","affiliation":[{"name":"School of Landscape Architecture, Northeast Forestry University, Harbin 150040, China"}],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"1968","published-online":{"date-parts":[[2025,11,29]]},"reference":[{"key":"ref_1","doi-asserted-by":"crossref","unstructured":"Afrin, T., and Yodo, N. (2020). A Survey of Road Traffic Congestion Measures towards a Sustainable and Resilient Transportation System. Sustainability, 12.","DOI":"10.3390\/su12114660"},{"key":"ref_2","doi-asserted-by":"crossref","first-page":"466","DOI":"10.1016\/j.tourman.2011.06.015","article-title":"The responsibility of tourism in traffic congestion and hyper-congestion: A case study from Mallorca, Spain","volume":"33","author":"Rossello","year":"2012","journal-title":"Tour. Manag."},{"key":"ref_3","doi-asserted-by":"crossref","first-page":"234","DOI":"10.1016\/j.tra.2022.09.018","article-title":"Travel behavior on vacation: Transport mode choice of tourists at destinations","volume":"166","author":"Bursa","year":"2022","journal-title":"Transp. Res. Part A Policy Pract."},{"key":"ref_4","doi-asserted-by":"crossref","unstructured":"Bao, Z.K., Ou, Y.F., Chen, S.Z., and Wang, T. (2022). Land use impacts on traffic congestion patterns: A tale of a northwestern Chinese city. Land, 11.","DOI":"10.3390\/land11122295"},{"key":"ref_5","doi-asserted-by":"crossref","unstructured":"Zhu, H.Y., Guan, H.Z., Han, Y., and Li, W.Y. (2019). A study of tourists\u2019 holiday rush-hour avoidance travel behavior considering psychographic segmentation. Sustainability, 11.","DOI":"10.3390\/su11133755"},{"key":"ref_6","doi-asserted-by":"crossref","first-page":"102663","DOI":"10.1016\/j.jtrangeo.2020.102663","article-title":"Investigating the impacts of built environment on traffic states incorporating spatial heterogeneity","volume":"83","author":"Pan","year":"2020","journal-title":"J. Transp. Geogr."},{"key":"ref_7","doi-asserted-by":"crossref","first-page":"102126","DOI":"10.1016\/j.scs.2020.102126","article-title":"How does parking availability interplay with the land use and affect traffic congestion in urban areas? The case study of Xi\u2019an, China","volume":"57","author":"Shen","year":"2020","journal-title":"Sustain. Cities Soc."},{"key":"ref_8","first-page":"393","article-title":"The law of peak-hour expressway congestion","volume":"16","author":"Downs","year":"1962","journal-title":"Traffic Q."},{"key":"ref_9","first-page":"150","article-title":"Examination of indicators of congestion level","volume":"1360","author":"Turner","year":"1992","journal-title":"Transp. Res. Rec."},{"key":"ref_10","doi-asserted-by":"crossref","first-page":"164","DOI":"10.1016\/j.cities.2019.03.022","article-title":"Geographical patterns of traffic congestion in growing megacities: Big data analytics from Beijing","volume":"92","author":"Zhao","year":"2019","journal-title":"Cities"},{"key":"ref_11","doi-asserted-by":"crossref","first-page":"85933","DOI":"10.1109\/ACCESS.2021.3075911","article-title":"Predicting Traffic Flow Propagation Based on Congestion at Neighbouring Roads Using Hidden Markov Model","volume":"9","author":"Priambodo","year":"2021","journal-title":"IEEE Access"},{"key":"ref_12","doi-asserted-by":"crossref","first-page":"446","DOI":"10.1016\/j.trc.2020.02.006","article-title":"Urban arterial traffic status detection using cellular data without cellphone GPS information","volume":"114","author":"Li","year":"2020","journal-title":"Transp. Res. Part C Emerg. Technol."},{"key":"ref_13","doi-asserted-by":"crossref","first-page":"104297","DOI":"10.1016\/j.tra.2024.104297","article-title":"Does built environment have impact on traffic congestion?\u2014A bootstrap mediation analysis on a case study of Melbourne","volume":"190","author":"Xiao","year":"2024","journal-title":"Transp. Res. A Policy Pract."},{"key":"ref_14","doi-asserted-by":"crossref","first-page":"103839","DOI":"10.1016\/j.trd.2023.103839","article-title":"Spatiotemporal analysis of built environment restrained traffic carbon emissions and policy implications","volume":"121","author":"Wu","year":"2023","journal-title":"Transp. Res. D Transp. Environ."},{"key":"ref_15","doi-asserted-by":"crossref","first-page":"2164","DOI":"10.1016\/j.sbspro.2013.08.244","article-title":"Reasons and countermeasures of traffic congestion under urban land redevelopment","volume":"96","author":"Wang","year":"2013","journal-title":"Procedia Soc. Behav. Sci."},{"key":"ref_16","doi-asserted-by":"crossref","first-page":"73","DOI":"10.1016\/j.landurbplan.2012.02.012","article-title":"Urban land uses and traffic \u2018source-sink areas\u2019: Evidence from GPS-enabled taxi data in Shanghai","volume":"106","author":"Liu","year":"2012","journal-title":"Landsc. Urban Plan."},{"key":"ref_17","doi-asserted-by":"crossref","first-page":"455","DOI":"10.1007\/s12469-020-00231-3","article-title":"Traffic congestion relief associated with public transport: State-of-the-art","volume":"12","author":"Young","year":"2020","journal-title":"Public Transp."},{"key":"ref_18","doi-asserted-by":"crossref","first-page":"106249","DOI":"10.1016\/j.scs.2025.106249","article-title":"Quantifying the impact of built environment on traffic congestion: A nonlinear analysis and optimization strategy for sustainable urban planning","volume":"122","author":"Ding","year":"2025","journal-title":"Sustain. Cities Soc."},{"key":"ref_19","first-page":"431","article-title":"Geographically weighted regression-modelling spatial non-stationarity","volume":"47","author":"Charlton","year":"1998","journal-title":"J. R. Stat. Soc. Ser. D Stat."},{"key":"ref_20","doi-asserted-by":"crossref","unstructured":"Stewart Fotheringham, A.S., Peter, A., and Rogerson, P.A. (2009). Geographically weighted regression. The SAGE Handbook of Spatial Analysis, SAGE Publications.","DOI":"10.4135\/9780857020130"},{"key":"ref_21","doi-asserted-by":"crossref","first-page":"869","DOI":"10.1080\/19427867.2024.2396773","article-title":"Exploring the effect of built environment on spatiotemporal evolution of traffic congestion using a novel GTWR model: A case study of Hefei, China","volume":"17","author":"Liu","year":"2024","journal-title":"Transp. Lett."},{"key":"ref_22","first-page":"1247","article-title":"Multiscale Geographically Weighted Regression (MGWR)","volume":"107","author":"Fotheringham","year":"2017","journal-title":"Ann. Am. Assoc. Geogr."},{"key":"ref_23","doi-asserted-by":"crossref","first-page":"399","DOI":"10.1007\/s10109-025-00468-1","article-title":"Scale and correlation in multiscale geographically weighted regression (MGWR)","volume":"27","author":"Kang","year":"2025","journal-title":"J. Geogr. Syst."},{"key":"ref_24","doi-asserted-by":"crossref","first-page":"186","DOI":"10.1016\/j.tbs.2022.06.011","article-title":"How the built environment promotes public transportation in Wuhan: A multiscale geographically weighted regression analysis","volume":"29","author":"An","year":"2022","journal-title":"Travel Behav. Soc."},{"key":"ref_25","doi-asserted-by":"crossref","unstructured":"Deng, S., Zhu, S., Chen, X., Liang, J., and Zheng, R. (2025). A multi-scale geographically weighted regression approach to understanding community-built environment determinants of cardiovascular disease: Evidence from Nanning, China. ISPRS Int. J. Geo-Inf., 14.","DOI":"10.3390\/ijgi14090362"},{"key":"ref_26","doi-asserted-by":"crossref","first-page":"105504","DOI":"10.1016\/j.cities.2024.105504","article-title":"Exploring the relationship between built environment and spatiotemporal heterogeneity of dockless bike-sharing usage: A case study of Shenzhen, China","volume":"155","author":"Zhou","year":"2024","journal-title":"Cities"},{"key":"ref_27","doi-asserted-by":"crossref","first-page":"105250","DOI":"10.1016\/j.cities.2024.105250","article-title":"Spatial effects of factors influencing on-street parking duration in newly built-up areas: A case study in Xi\u2019an, China","volume":"152","author":"Xie","year":"2024","journal-title":"Cities"},{"key":"ref_28","doi-asserted-by":"crossref","first-page":"166","DOI":"10.1016\/j.jtrangeo.2019.03.012","article-title":"Exploring spatial variation of the bus stop influence zone with multi-source data: A case study in Zhenjiang, China","volume":"76","author":"Pan","year":"2019","journal-title":"J. Transp. Geogr."},{"key":"ref_29","doi-asserted-by":"crossref","first-page":"235","DOI":"10.1111\/j.0735-2166.2005.00235.x","article-title":"Verifying the multi-dimensional nature of metropolitan land use: Advancing the understanding and measurement of sprawl","volume":"27","author":"Cutsinger","year":"2005","journal-title":"J. Urban Aff."},{"key":"ref_30","doi-asserted-by":"crossref","first-page":"581","DOI":"10.1007\/s11116-009-9214-z","article-title":"A traffic analysis zone definition: A new methodology and algorithm","volume":"36","author":"Martinez","year":"2009","journal-title":"Transportation"},{"key":"ref_31","doi-asserted-by":"crossref","first-page":"2","DOI":"10.1016\/j.landurbplan.2012.06.017","article-title":"Urban traffic noise and the relation to urban density, form, and traffic elasticity","volume":"108","author":"Salomons","year":"2012","journal-title":"Landsc. Urban Plan."},{"key":"ref_32","doi-asserted-by":"crossref","first-page":"106621","DOI":"10.1016\/j.landusepol.2023.106621","article-title":"Uncovering the spatiotemporal impacts of built environment on traffic carbon emissions using multi-source big data","volume":"129","author":"Wu","year":"2023","journal-title":"Land Use Policy"},{"key":"ref_33","doi-asserted-by":"crossref","first-page":"100173","DOI":"10.1016\/j.dibe.2023.100173","article-title":"The effect of the built environment on spatial-temporal pattern of traffic congestion in a satellite city in emerging economies","volume":"14","author":"Bao","year":"2023","journal-title":"Dev. Built Environ."},{"key":"ref_34","first-page":"231","article-title":"Correlation Study between Spatial Distribution of Tourism Elements and Transportation Accessibility in Historic Districts of Guangzhou City","volume":"44","author":"Xiao","year":"2024","journal-title":"Econ. Geogr."},{"key":"ref_35","doi-asserted-by":"crossref","first-page":"31","DOI":"10.1016\/j.apgeog.2015.02.011","article-title":"Spatial variation of the urban taxi ridership using GPS data","volume":"59","author":"Qian","year":"2015","journal-title":"Appl. Geogr."},{"key":"ref_36","doi-asserted-by":"crossref","unstructured":"Prakayaphun, T., Hayashi, Y., Vichiensan, V., and Takeshita, H. (2023). Identifying Impacts of School-Escorted Trips on Traffic Congestion and the Countermeasures in Bangkok: An Agent-Based Simulation Approach. Sustainability, 15.","DOI":"10.3390\/su152316244"},{"key":"ref_37","doi-asserted-by":"crossref","first-page":"8821071","DOI":"10.1155\/atr\/8821071","article-title":"Exploring the Effects of Built Environment on Traffic Microcirculation Performance Using XGBoost Model","volume":"2025","author":"Guo","year":"2025","journal-title":"J. Adv. Transp."},{"key":"ref_38","doi-asserted-by":"crossref","unstructured":"Dong, L., and Zhang, L. (2022). Spatial Coupling Coordination Evaluation of Mixed Land Use and Urban Vitality in Major Cities in China. Int. J. Environ. Res. Public Health., 19.","DOI":"10.3390\/ijerph192315586"},{"key":"ref_39","doi-asserted-by":"crossref","first-page":"761","DOI":"10.5198\/jtlu.2021.1799","article-title":"Relationship between urban tourism traffic and tourism land use: A case study of Xiamen Island","volume":"14","author":"Gao","year":"2021","journal-title":"J. Transp. Land Use"},{"key":"ref_40","first-page":"286","article-title":"Impact of buses on the macroscopic fundamental diagram of homogeneous arterial corridors","volume":"6","author":"Castrillon","year":"2018","journal-title":"Transp. B: Transp. Dyn."},{"key":"ref_41","doi-asserted-by":"crossref","first-page":"1546","DOI":"10.1049\/iet-its.2019.0860","article-title":"Impacts of bus stop location and berth number on urban network traffic performance","volume":"14","author":"Johari","year":"2020","journal-title":"IET Intell. Transp. Syst."}],"container-title":["ISPRS International Journal of Geo-Information"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/www.mdpi.com\/2220-9964\/14\/12\/470\/pdf","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,12,3]],"date-time":"2025-12-03T17:06:52Z","timestamp":1764781612000},"score":1,"resource":{"primary":{"URL":"https:\/\/www.mdpi.com\/2220-9964\/14\/12\/470"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2025,11,29]]},"references-count":41,"journal-issue":{"issue":"12","published-online":{"date-parts":[[2025,12]]}},"alternative-id":["ijgi14120470"],"URL":"https:\/\/doi.org\/10.3390\/ijgi14120470","relation":{},"ISSN":["2220-9964"],"issn-type":[{"value":"2220-9964","type":"electronic"}],"subject":[],"published":{"date-parts":[[2025,11,29]]}}}