{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,2,19]],"date-time":"2026-02-19T18:45:33Z","timestamp":1771526733315,"version":"3.50.1"},"reference-count":42,"publisher":"MDPI AG","issue":"1","license":[{"start":{"date-parts":[[2019,12,19]],"date-time":"2019-12-19T00:00:00Z","timestamp":1576713600000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by\/4.0\/"}],"funder":[{"DOI":"10.13039\/501100012226","name":"Fundamental Research Funds for the Central Universities","doi-asserted-by":"publisher","award":["XDJK2019B008"],"award-info":[{"award-number":["XDJK2019B008"]}],"id":[{"id":"10.13039\/501100012226","id-type":"DOI","asserted-by":"publisher"}]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["Remote Sensing"],"abstract":"<jats:p>Investigating regional connections and their influencing factors from the perspective of \u201cflow\u201d space is one of the foundations of promoting regional development. In this article, the data we used includes actual highway passenger flow data, National Polar-orbiting Partnership\/Visible Infrared Imaging Radiometer Suite (NPP\/VIIRS) nighttime light remote sensing data, and socioeconomic data. We analyzed the spatial distribution pattern, connection intensity and spatial autocorrelation of highway passenger flow in Chongqing during the working day, weekend and May Day and revealed the influencing factors by means of a geographic detector. Three key conclusions resulted from this research. First, highway passenger flow in Chongqing districts exhibits spatial agglomeration that is clearly higher in western Chongqing than in eastern Chongqing and forms an obviously dual-core \u201cstar\u201d structure, with the main urban area and Wanzhou serving as the core. Second, a factor detector notes that the nighttime light area index (0.9251, 0.9512, 0.9541) has the strongest explanatory power for the spatial differentiation of passenger traffic in Chongqing districts, which is the key factor. Third, interaction detection shows that the interaction between the two factors displays an enhancement effect at different times. The nighttime light area index shows the strongest explanatory power under the synergy of tourist attractions, which are 0.9850, 0.9903 and 0.9908. But the per capita GDP and highway mileage have the most obvious enhancement effect after interaction (0.9544, 0.9661, 0.9652). Therefore, in future planning and development, we should pay attention to cooperation and exchanges between districts and use the nighttime light area index as an important reference factor to provide a scientific basis for the construction of public transport and economic construction in Chongqing.<\/jats:p>","DOI":"10.3390\/rs12010027","type":"journal-article","created":{"date-parts":[[2019,12,23]],"date-time":"2019-12-23T03:15:01Z","timestamp":1577070901000},"page":"27","update-policy":"https:\/\/doi.org\/10.3390\/mdpi_crossmark_policy","source":"Crossref","is-referenced-by-count":15,"title":["Exploring Spatial and Temporal Connection Patterns among the Districts in Chongqing Based on Highway Passenger Flow"],"prefix":"10.3390","volume":"12","author":[{"given":"Yang","family":"Huang","sequence":"first","affiliation":[{"name":"State Cultivation Base of Eco-Agriculture for Southwest Mountainous Land, School of Geography Science, Southwest University, Chongqing 400715, China"}]},{"given":"Kaifang","family":"Shi","sequence":"additional","affiliation":[{"name":"State Cultivation Base of Eco-Agriculture for Southwest Mountainous Land, School of Geography Science, Southwest University, Chongqing 400715, China"}]},{"given":"Huiming","family":"Zong","sequence":"additional","affiliation":[{"name":"State Cultivation Base of Eco-Agriculture for Southwest Mountainous Land, School of Geography Science, Southwest University, Chongqing 400715, China"}]},{"given":"Tinggang","family":"Zhou","sequence":"additional","affiliation":[{"name":"State Cultivation Base of Eco-Agriculture for Southwest Mountainous Land, School of Geography Science, Southwest University, Chongqing 400715, China"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-4318-8405","authenticated-orcid":false,"given":"Jingwei","family":"Shen","sequence":"additional","affiliation":[{"name":"State Cultivation Base of Eco-Agriculture for Southwest Mountainous Land, School of Geography Science, Southwest University, Chongqing 400715, China"}]}],"member":"1968","published-online":{"date-parts":[[2019,12,19]]},"reference":[{"key":"ref_1","doi-asserted-by":"crossref","first-page":"85","DOI":"10.1016\/j.apgeog.2017.07.014","article-title":"Difference of urban development in China from the perspective of passenger transport around Spring Festival","volume":"87","author":"Xu","year":"2017","journal-title":"Appl. Geogr."},{"key":"ref_2","doi-asserted-by":"crossref","first-page":"281","DOI":"10.5614\/jrcp.2018.29.3.6","article-title":"Research on the city network of Guangdong, Hongkong and Macao from the perspective of information flow: Analysis based on baidu index","volume":"29","author":"Wang","year":"2018","journal-title":"J. Reg. City Plan."},{"key":"ref_3","doi-asserted-by":"crossref","unstructured":"Wang, L., Yang, W.Y., Yuan, Y.Y., and Liu, C.L. (2019). Interurban consumption flows of urban agglomeration in the middle reaches of the Yangtze River: A network approach. Sustainability, 11.","DOI":"10.3390\/su11010268"},{"key":"ref_4","doi-asserted-by":"crossref","unstructured":"Li, J.W., Ye, Q.Q., Deng, X.K., Liu, Y.L., and Liu, Y.F. (2016). Spatial-Temporal analysis on Spring Festival travel rush in China based on multisource big data. Sustainability, 8.","DOI":"10.3390\/su8111184"},{"key":"ref_5","doi-asserted-by":"crossref","first-page":"305","DOI":"10.1016\/j.jtrangeo.2007.12.005","article-title":"Mapping world city networks through airline flows: Context, relevance, and problems","volume":"16","author":"Derudder","year":"2008","journal-title":"J. Transp. Geogr."},{"key":"ref_6","doi-asserted-by":"crossref","first-page":"303","DOI":"10.1080\/00420989550013095","article-title":"Attractivity and internationalization of major European cities: The example of air traffic","volume":"32","author":"Cattan","year":"1995","journal-title":"Urban Stud."},{"key":"ref_7","first-page":"145","article-title":"Approximating actual flows in physical infrastructure networks: The case of the Yangtze River Delta high-speed railway network","volume":"31","author":"Zhang","year":"2016","journal-title":"Bull. Geogr. Socio Econ. Ser."},{"key":"ref_8","doi-asserted-by":"crossref","first-page":"233","DOI":"10.1016\/j.jtrangeo.2018.03.015","article-title":"Comparing China\u2019s urban systems in high-speed railway and airline networks","volume":"68","author":"Yang","year":"2018","journal-title":"J. Transp. Geogr."},{"key":"ref_9","doi-asserted-by":"crossref","first-page":"1267","DOI":"10.1177\/0042098018761498","article-title":"Comparing passenger flow and time schedule data to analyse high-speed railways and urban networks in China","volume":"56","author":"Yang","year":"2019","journal-title":"Urban Stud."},{"key":"ref_10","doi-asserted-by":"crossref","unstructured":"Ke, W.Q., Chen, W., and Yu, Z.Y. (2017). Uncovering spatial structures of regional city networks from expressway traffic flow data: A case study from Jiangsu Province, China. Sustainability, 9.","DOI":"10.3390\/su9091541"},{"key":"ref_11","doi-asserted-by":"crossref","first-page":"477","DOI":"10.1007\/s11442-018-1485-x","article-title":"Understanding spatial structures and organizational patterns of city networks in China: A highway passenger flow perspective","volume":"28","author":"Chen","year":"2018","journal-title":"J. Geogr. Sci."},{"key":"ref_12","doi-asserted-by":"crossref","first-page":"234","DOI":"10.2307\/143141","article-title":"Computer movie simulating urban growth in Detroit region","volume":"46","author":"Tobler","year":"1970","journal-title":"Econ. Geogr."},{"key":"ref_13","doi-asserted-by":"crossref","first-page":"19","DOI":"10.1007\/s10980-017-0578-8","article-title":"Accounting for spatial autocorrelation improves the estimation of climate, physical environment and vegetation\u2019s effects on boreal forest\u2019s burn rates","volume":"33","author":"Portier","year":"2018","journal-title":"Landsc. Ecol."},{"key":"ref_14","doi-asserted-by":"crossref","first-page":"441","DOI":"10.1016\/j.resconrec.2019.03.049","article-title":"Green growth efficiency of Chinese cities and its spatio-temporal pattern","volume":"146","author":"Ma","year":"2019","journal-title":"Resour. Conserv. Recycl."},{"key":"ref_15","doi-asserted-by":"crossref","first-page":"1150","DOI":"10.1080\/13683500.2017.1366434","article-title":"Impacts of innovation, productivity and specialization on tourism competitiveness-A spatial econometric analysis on European regions","volume":"22","author":"Romao","year":"2019","journal-title":"Curr. Issues Tour."},{"key":"ref_16","doi-asserted-by":"crossref","first-page":"1327","DOI":"10.1016\/j.scitotenv.2019.06.182","article-title":"The role of industrial structure upgrades in eco-efficiency evolution: Spatial correlation and spillover effects","volume":"687","author":"Zhou","year":"2019","journal-title":"Sci. Total Environ."},{"key":"ref_17","doi-asserted-by":"crossref","first-page":"620","DOI":"10.1007\/s11769-014-0685-2","article-title":"Spatial pattern evolution and casual analysis of county level economy in Changsha-Zhuzhou-Xiangtan urban agglomeration, China","volume":"24","author":"Dong","year":"2014","journal-title":"Chin. Geogr. Sci."},{"key":"ref_18","doi-asserted-by":"crossref","unstructured":"Yu, Y., Han, Q.W., Tang, W.W., Yuan, Y.B., and Tong, Y. (2018). Exploration of the industrial spatial linkages in urban agglomerations: A case of urban agglomeration in the middle reaches of the Yangtze River, China. Sustainability, 10.","DOI":"10.3390\/su10051469"},{"key":"ref_19","doi-asserted-by":"crossref","unstructured":"Fan, Y., Guo, R.Z., He, Z.Y., Li, M.M., He, B., Yang, H., and Wen, N. (2019). Spatio-Temporal pattern of the urban system network in the Huaihe River Basin based on entropy theory. Entropy, 21.","DOI":"10.3390\/e21010020"},{"key":"ref_20","doi-asserted-by":"crossref","first-page":"1","DOI":"10.1016\/0034-4257(80)90043-7","article-title":"Monitoring urban population and energy utilization patterns from satellite data","volume":"9","author":"Welch","year":"1980","journal-title":"Remote Sens. Environ."},{"key":"ref_21","doi-asserted-by":"crossref","unstructured":"Ma, T., Yin, Z., Li, B.L., Zhou, C.H., and Haynie, S. (2016). Quantitative estimation of the velocity of urbanization in China using nighttime luminosity data. Remote Sens., 8.","DOI":"10.3390\/rs8020094"},{"key":"ref_22","doi-asserted-by":"crossref","unstructured":"Ma, T., Xu, T., Huang, L., and Zhou, A. (2018). A human settlement composite index (HSCI) derived from nighttime luminosity associated with imperviousness and vegetation indexes. Remote Sens., 10.","DOI":"10.3390\/rs10030455"},{"key":"ref_23","doi-asserted-by":"crossref","unstructured":"Fu, H.Y., Shao, Z.F., Fu, P., and Cheng, Q.M. (2017). The dynamic analysis between urban nighttime economy and urbanization using the DMSP\/OLS nighttime light data in China from 1992 to 2012. Remote Sens., 9.","DOI":"10.3390\/rs9050416"},{"key":"ref_24","doi-asserted-by":"crossref","first-page":"103009","DOI":"10.1016\/j.tust.2019.103009","article-title":"Factors in the development of urban underground space surrounding metro stations: A case study of Osaka, Japan","volume":"91","author":"Peng","year":"2019","journal-title":"Tunn. Undergr. Space Technol."},{"key":"ref_25","doi-asserted-by":"crossref","first-page":"569","DOI":"10.1016\/j.scs.2017.04.014","article-title":"Measuring urban spatial interaction in Wuhan urban agglomeration, central China: A spatially explicit approach","volume":"32","author":"He","year":"2017","journal-title":"Sustain. Cities Soc."},{"key":"ref_26","first-page":"116","article-title":"Geodetector: Principle and prospective","volume":"72","author":"Wang","year":"2017","journal-title":"Acta Geogr. Sin."},{"key":"ref_27","doi-asserted-by":"crossref","first-page":"107","DOI":"10.1080\/13658810802443457","article-title":"Geographical detectors-based health risk assessment and its application in the neural tube defects study of the Heshun region, China","volume":"24","author":"Wang","year":"2010","journal-title":"Int. J. Geogr. Inf. Sci."},{"key":"ref_28","doi-asserted-by":"crossref","first-page":"271","DOI":"10.1016\/j.ecolind.2017.10.004","article-title":"The role of urban function on road soil respiration responses","volume":"85","author":"Ye","year":"2018","journal-title":"Ecol. Indic."},{"key":"ref_29","doi-asserted-by":"crossref","first-page":"619","DOI":"10.1016\/j.jclepro.2019.05.248","article-title":"Region-county characteristic of spatial-temporal evolution and influencing factor on land use-related CO2 emissions in Chongqing of China, 1997\u20132015","volume":"231","author":"Cao","year":"2019","journal-title":"J. Clean. Prod."},{"key":"ref_30","doi-asserted-by":"crossref","first-page":"101","DOI":"10.1016\/j.habitatint.2019.03.006","article-title":"Urban-Rural construction land Transition (URCLT) in Shandong Province of China: Features measurement and mechanism exploration","volume":"86","author":"Qu","year":"2019","journal-title":"Habitat Int."},{"key":"ref_31","doi-asserted-by":"crossref","first-page":"26","DOI":"10.1016\/j.cities.2006.08.009","article-title":"Ranking functional urban regions: A comparison of interaction and node attribute data","volume":"24","author":"Limtanakool","year":"2007","journal-title":"Cities"},{"key":"ref_32","doi-asserted-by":"crossref","first-page":"755","DOI":"10.1016\/j.jtrangeo.2010.09.003","article-title":"An analysis of the determinants of air traffic volume for European metropolitan areas","volume":"19","author":"Dobruszkes","year":"2011","journal-title":"J. Transp. Geogr."},{"key":"ref_33","first-page":"1122","article-title":"Spatial correlation analysis of Suomi-NPP nighttime light data and GDP data","volume":"56","author":"Guo","year":"2016","journal-title":"J. Tsinghua Univ. Sci. Technol."},{"key":"ref_34","unstructured":"Gao, X. (2014). Study on the Connective Network of Districts and Counties in Chongqing Basing on Traffic Flows. [Ph.D. Thesis, Northeast Normal University]. (In Chinese)."},{"key":"ref_35","doi-asserted-by":"crossref","first-page":"165","DOI":"10.1080\/2150704X.2014.890758","article-title":"Responses of Suomi- NPP VIIRS- derived nighttime lights to socioeconomic activity in China\u2019s cities","volume":"5","author":"Ma","year":"2014","journal-title":"Remote Sens. Lett."},{"key":"ref_36","doi-asserted-by":"crossref","first-page":"1705","DOI":"10.3390\/rs6021705","article-title":"Evaluating the ability of NPP-VIIRS nighttime light data to estimate the gross domestic product and the electric power consumption of China at multiple scales: A comparison with DMSP-OLS data","volume":"6","author":"Shi","year":"2014","journal-title":"Remote Sens."},{"key":"ref_37","doi-asserted-by":"crossref","first-page":"17","DOI":"10.1093\/biomet\/37.1-2.17","article-title":"Notes on continuous stochastic phenomena","volume":"37","author":"Moran","year":"1950","journal-title":"Biometrika"},{"key":"ref_38","doi-asserted-by":"crossref","first-page":"93","DOI":"10.1111\/j.1538-4632.1995.tb00338.x","article-title":"Local indicators of spatial association-LISA","volume":"27","author":"Anselin","year":"1995","journal-title":"Geogr. Anal."},{"key":"ref_39","doi-asserted-by":"crossref","first-page":"2340","DOI":"10.1109\/TITS.2016.2643005","article-title":"An improved fuzzy neural network for traffic speed prediction considering periodic characteristic","volume":"18","author":"Tang","year":"2017","journal-title":"IEEE Trans. Intell. Transp. Syst."},{"key":"ref_40","first-page":"1314","article-title":"Study on districts passenger-cargo association network of Chongqing basing on gravity model","volume":"31","author":"Gao","year":"2015","journal-title":"Resour. Dev. Mark."},{"key":"ref_41","first-page":"73","article-title":"Study on the network of districts and counties in Chongqing based on the date of the highway cargo flows","volume":"31","author":"Gao","year":"2016","journal-title":"Hum. Geogr."},{"key":"ref_42","first-page":"926","article-title":"Influencing factors of regional economic inequality in inland provinces of western China: A case study of Chongqing","volume":"36","author":"Guo","year":"2017","journal-title":"Geogr. Res."}],"container-title":["Remote Sensing"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/www.mdpi.com\/2072-4292\/12\/1\/27\/pdf","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,10,11]],"date-time":"2025-10-11T13:43:49Z","timestamp":1760190229000},"score":1,"resource":{"primary":{"URL":"https:\/\/www.mdpi.com\/2072-4292\/12\/1\/27"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2019,12,19]]},"references-count":42,"journal-issue":{"issue":"1","published-online":{"date-parts":[[2020,1]]}},"alternative-id":["rs12010027"],"URL":"https:\/\/doi.org\/10.3390\/rs12010027","relation":{},"ISSN":["2072-4292"],"issn-type":[{"value":"2072-4292","type":"electronic"}],"subject":[],"published":{"date-parts":[[2019,12,19]]}}}