Geografie 2025, 130, 143-161
https://doi.org/10.37040/geografie.2025.008
The potential of regression factor analysis to predict highway traffic in conditions of high tourism seasonality
References
1. AFRIN, T., YODO, N. (2020): A survey of road traffic congestion measures towards a sustainable and resilient transportation system. Sustainability, 12, 11, 4660.
<https://doi.org/10.3390/su12114660>
2. AKIN, D., SISIOPIKU, V. P., SKABARDONIS, A. (2011): Impacts of weather on traffic flow characteristics of urban freeways in Istanbul. Procedia-Social and Behavioral Sciences, 16, 89−99.
<https://doi.org/10.1016/j.sbspro.2011.04.432>
3. AMOATEY, P., OMIDVARBONA, H., BAAWAIN, M.S., AL-MAYAHI, A., AL-MAMUN, A., AL-HARTHY, I. (2020): Exposure assessment to road traffic noise levels and health effects in an arid urban area. Environmental Science and Pollution Research, 27, 35051−35064.
<https://doi.org/10.1007/s11356-020-09785-y>
4. ASHURI, B., KASHANI, H., MOLENAAR, K.R., LEE, S., LU, J. (2012): Risk-neutral pricing approach for evaluating BOT highway projects with government minimum revenue guarantee options. Journal of construction engineering and management, 138, 4, 545−557.
<https://doi.org/10.1061/(ASCE)CO.1943-7862.0000447>
5. AVILA, A.M., MEZIĆ, I. (2020): Data-driven analysis and forecasting of highway traffic Dynamics. Nature Communications, 11, 2090.
<https://doi.org/10.1038/s41467-020-15582-5>
6. BALTRENAS, P., KAZLAUSKIENE, A. (2009): Sustainable ecological development reducing negative effects of road maintenance salts. Technological and Economic development of Economy, 15, 1, 178−188.
<https://doi.org/10.3846/1392-8619.2009.15.178-188>
7. 2017): Logistics determinants of the port of Gaženica in the context of tourism development. Pomorstvo, 31, 1, 18−26.
, H., MARUŠIĆ, E., MALOVRH, A. (
8. BERGANTINO, A.S., BUONAROTA, M., BUONGIORNO, A., INTINI, M. (2023): Regional multimodal accessibility: Policies and strategies for sustainable tourism destinations in coastal areas. Research in Transportation Business & Management, 48, 100872.
<https://doi.org/10.1016/j.rtbm.2022.100872>
9. BERNARD, J. (2022): Public transport accessibility: Simulation of the usability of public transport in everyday situations. Geografie, 127, 2, 145−168.
<https://doi.org/10.37040/geografie.2022.002>
10. BOTO-GARCÍA, D., PÉREZ, L. (2023): The effect of high-speed rail connectivity and accessibility on tourism seasonality. Journal of Transport Geography, 107, 103546.
<https://doi.org/10.1016/j.jtrangeo.2023.103546>
11. CHAWLA, P., HASURKAR, R., BOGADI, C.R., KORLAPATI, N.S., RAJENDRAN, R., RAVICHANDRAN, S., TOLEM, S.C., GAO, J.Z. (2022): Real-time traffic congestion prediction using big data and machine learning techniques. World Journal of Engineering, 10.1108/ WJE−07–2021–0428.
<https://doi.org/10.1108/WJE-07-2021-0428>
12. CHO, V. (2003): A comparison of three different approaches to tourist arrival forecasting. Tourism management, 24, 3, 323−330.
<https://doi.org/10.1016/S0261-5177(02)00068-7>
13. CLARK, S. (2003): Traffic prediction using multivariate nonparametric regression. Journal of transportation engineering, 129, 2, 161−168.
<https://doi.org/10.1061/(ASCE)0733-947X(2003)129:2(161)>
14. 2012): Gospodarski aspekti prometnih koridora u Republici Hrvatskoj ili Hrvatska „nova vrata Europe“. Ceste i mostovi, 58, 1−6, 11–23.
, M., KRISTEK, P. (
15. DATLA, S., SHARMA, S. (2008): Impact of cold and snow on temporal and spatial variations of highway traffic volumes. Journal of Transport Geography, 16, 5, 358−372.
<https://doi.org/10.1016/j.jtrangeo.2007.12.003>
16. DE LUCA, M., DELL’ACQUA, G. (2012): Freeway safety management: case studies in Italy. Transport, 27, 3, 320−326.
<https://doi.org/10.3846/16484142.2012.724447>
17. DI SIVO, M., LADIANA, D. (2011): Decision-support tools for municipal infrastructure maintenance management. Procedia Computer Science, 3, 36−41.
<https://doi.org/10.1016/j.procs.2010.12.007>
18. FENG, X. B. (2023): Coupling and coordinated development of traffic accessibility and regional tourism economy. Research in Transportation Business & Management, 49, 101010.
<https://doi.org/10.1016/j.rtbm.2023.101010>
19. FILČÁK, R., ROCHOVSKÁ, A., HORŇÁK, M. (2021): Evaluation of Slovakia’s R1 expressway enhancement impacts on local socio-economic development: expert panel approach. Geografie, 126, 1, 29−53.
<https://doi.org/10.37040/geografie2021126010029>
20. FORMAN, R.T., ALEXANDER, L.E. (1998): Roads and their major ecological effects. Annual review of ecology and systematics, 29, 1, 207−231.
<https://doi.org/10.1146/annurev.ecolsys.29.1.207>
21. GARTNER, N.H., MESSER, C.J., RATHI, A.K. (2001): Traffic flow theory: a state-of-the art report. In Revised Monograph on Traffic Flow Theory, https://rosap.ntl.bts.gov/view/dot/35775 (21. 6. 2024).
22. GROFELNIK, H., KOVAČIĆ, N. (2023a): Factors Influencing the Carbon Footprint of Major Road Infrastructure – A Case Study of the Učka Tunnel. Sustainability, 15, 5, 4461.
<https://doi.org/10.3390/su15054461>
23. GROFELNIK, H., KOVAČIĆ, N. (2023b): Determining the impact of tourism on the environment by extracting the carbon footprint of road infrastructure in natural protected areas-case study of the Učka nature park, Proceedings of 7th International Conference Tourism in Southern and Eastern Europe – ToSEE 2023, 143−153.
<https://doi.org/10.20867/tosee.07.10>
24. HAN, Y., WANG, M., LECLERCQ, L. (2023): Leveraging reinforcement learning for dynamic traffic control: A survey and challenges for field implementation. Communications in Transportation Research, 3, 100104.
<https://doi.org/10.1016/j.commtr.2023.100104>
25. HINKKA, V., PILLI-SIHVOLA, E., MANTSINEN, H., LEVIÄKANGAS, P., AAPAOJA, A., HAUTALA, R. (2016): Integrated winter road maintenance management – New directions for cold regions research. Cold Regions Science and Technology, 121, 108−117.
<https://doi.org/10.1016/j.coldregions.2015.10.014>
26. HORREY, W.J., LESCH, M.F., DAINOFF, M.J., ROBERTSON, M.M., NOY, Y.I. (2012): On-board safety monitoring systems for driving: Review, knowledge gaps, and framework. Journal of safety research, 43, 1, 49−58.
<https://doi.org/10.1016/j.jsr.2011.11.004>
27. IVANOVA, E., MASAROVA, J. (2013): Importance of road infrastructure in the economic development and competitiveness. Economics and management, 18, 2, 263−274. 2. 4253
<https://doi.org/10.5755/j01.em.18>
28. KARDANI-YAZD, N., KARDANI-YAZD, N., MANSOURI DANESHVAR, M.R. (2019): A rapid method for evaluating the variables affecting traffic flow in a touristic road, Iran. Environmental Systems Research, 8, 1−11.
<https://doi.org/10.1186/s40068-019-0162-0>
29. KOETSE, M.J., RIETVELD, P. (2009): The impact of climate change and weather on transport: an overview of empirical findings. Transp Res Part D Transp Environ, 14, 3, 205−221.
<https://doi.org/10.1016/j.trd.2008.12.004>
30. KRAFT, S., BLAŽEK, V., MARADA, M. (2022): Exploring the daily mobility rhythms in an urban environment: Using the data from intelligent transport systems. Geografie, 127, 2, 127−144.
<https://doi.org/10.37040/geografie.2022.004>
31. KRYKHTINA, Y.O., DOMBROVSKA, S.M., MAISTRO, S.V., STANKEVYCH, S.V. (2021): Review of public policy for reducing the transport environmental impact. Ukrainian Journal of Ecology, 11, 2, 12−15.
<https://doi.org/10.15421/2021_63>
32. LANG, U., SCHREINER, R. (2015): Managing security in intelligent transport systems. In 2015 IEEE 18th International Conference on Intelligent Transportation Systems, 48−53.
<https://doi.org/10.1109/ITSC.2015.16>
33. LEE, W.H., TSENG, S.S., TSAI, S.H. (2009): A knowledge based real-time travel time prediction system for urban network. Expert systems with Applications, 36, 3, 4239−4247.
<https://doi.org/10.1016/j.eswa.2008.03.018>
34. LIN, S., MARSDEN, G., PANGBOURNE, K., LIU, Q. (2023): Lessons from highway management reforms in a less developed province in China. Research in Transportation Business & Management, 49, 100989.
<https://doi.org/10.1016/j.rtbm.2023.100989>
35. LIU, Z., WANG, X., SHEN, S. (2015): Methods of Traffic Demand Forecast on Tourism Highway. In: 2015 International conference on Engineering Management, Engineering Education and Information Technology, 162−166.
<https://doi.org/10.2991/emeeit-15.2015.33>
36. LOUHGHALAM, A., AKBARIAN, M., ULM, F.J. (2017): Carbon management of infrastructure performance: Integrated big data analytics and pavement-vehicle-interactions. Journal of Cleaner Production, 142, 956−964.
<https://doi.org/10.1016/j.jclepro.2016.06.198>
37. MAHAPATRA, S., PATNAIK, S., RATH, K.C., SETHY, K.M., DAS, S.R. (2024): Regression-Based Model for Prediction of Road Traffic Congestion: A Case Study of Janpath Segment in Bhubaneswar City. In: Nakamatsu, K., Patnaik, S., Kountchev, R. (eds) AI Technologies and Virtual Reality. AIVR 2023. Smart Innovation, Systems and Technologies, 382. Springer, Singapore.
<https://doi.org/10.1007/978-981-99-9018-4_4>
38. MCLLROY, R.C., BANKS, V.A., PARNELL, K.J. (2022): 25 Years of road safety: The journey from thinking humans to systems-thinking. Applied ergonomics, 98, 103592.
<https://doi.org/10.1016/j.apergo.2021.103592>
39. MISHRA, R.K., PARIDA, M., RANGNEKAR, S. (2010): Evaluation and analysis of traffic noise along bus rapid transit system corridor. International Journal of Environmental Science & Technology, 7, 737−750.
<https://doi.org/10.1007/BF03326183>
40. MOHAMMADIAN, S., ZHENG, Z., HAQUE, M.M., BHASKAR, A. (2023): Continuum modeling of freeway traffic flows: State-of-the-art, challenges and future directions in the era of connected and automated vehicles. Communications in Transportation Research, 3, 100107.
<https://doi.org/10.1016/j.commtr.2023.100107>
41. NALETINA, D., ZELENIKA, G., PETLJAK, K. (2018): Empirijsko istraživanje zadovoljstva korisnika hrvatskim autocestama. Business Excellence, 12, 2, 81−101.
<https://doi.org/10.22598/pi-be/2018.12.2.81>
42. RAŠIĆ BAKARIĆ, I., TKALEC, M., VIZEK, M. (2016): Constructing a composite coincident indicator for a post-transition country. Economic research-Ekonomska istraživanja, 29, 1, 434−446.
<https://doi.org/10.1080/1331677X.2016.1174388>
43. ROLFE, J., FLINT, N. (2018): Assessing the economic benefits of a tourist access road: A case study in regional coastal Australia. Economic Analysis and Policy, 58, 167−178.
<https://doi.org/10.1016/j.eap.2017.09.003>
44. ROSSELLÓ-NADAL, J., SANTANA-GALLEGO, M. (2024): Toward a smaller world. The distance puzzle and international border for tourism. Journal of Transport Geography, 115, 103809.
<https://doi.org/10.1016/j.jtrangeo.2024.103809>
45. RUPČIĆ, N., GAŠPAROVIĆ, T. (2019): Analiza troškova i koristi izgradnje autoceste A1. Oeconomica Jadertina, 9, 1, 58−77.
<https://doi.org/10.15291/oec.2838>
46. SCHIEFELBUSCH, M., JAIN, A., SCHÄFER, T., MÜLLER, D. (2007): Transport and tourism: roadmap to integrated planning developing and assessing integrated travel chains. Journal of Transport Geography, 15, 2, 94−103.
<https://doi.org/10.1016/j.jtrangeo.2006.12.009>
47. SIĆ, M. (2009): Utjecaj autoceste Zagreb–Split na regionalni razvoj Like. Hrvatski geografski glasnik, 71, 1, 87−100.
<https://doi.org/10.21861/HGG.2009.71.01.05>
48. STEELE, K., COLE, G., PARKE, G., CLARKE, B., HARDING, J. (2003): Highway bridges and environment – Sustainable perspectives. In: Proceedings of the Institution of Civil Engineers-Civil Engineering, 156, 4, 176−182.
<https://doi.org/10.1680/cien.2003.156.4.176>
49. SUN, H., LIU, H. X., XIAO, H., HE, R.R., RAN, B. (2003): Use of local linear regression model for short-term traffic forecasting. Transportation Research Record, 1836, 1, 143−150.
<https://doi.org/10.3141/1836-18>
50. 2010): Uloga cestovnog prometa u turizmu Hrvatske. Acta turistica nova, 4, 2, 231−246.
, S. (
51. TSOU, K.W., CHENG, H.T., TSENG, F.Y. (2015): Exploring the relationship between multilevel highway networks and local development patterns – A case study of Taiwan. Journal of Transport Geography, 43, 160−170.
<https://doi.org/10.1016/j.jtrangeo.2015.01.015>
52. VLAHOGIANNI, E.I., KARLAFTIS, M.G., GOLIAS, J.C. (2014): Short-term traffic forecasting: Where we are and where we’re going. Transportation Research Part C: Emerging Technologies, 43, 3−19.
<https://doi.org/10.1016/j.trc.2014.01.005>
53. WANG, C., YE, Z. (2016): Traffic flow forecasting based on a hybrid model. Journal of Intelligent Transportation Systems, 20, 5, 428−437.
<https://doi.org/10.1080/15472450.2015.1091735>
54. WANG, R., ZHANG, Z., WOLSHON, B. (2023): Estimating long-term and short-term impact of COVID-19 activity restriction on regional highway traffic demand: A case study in Zhejiang Province, China. International journal of disaster risk reduction, 85, 103517.
<https://doi.org/10.1016/j.ijdrr.2022.103517>
55. WANG, Z., CHEN, Y., SU, J., GUO, Y., ZHAO, Y., TANG, W., ZENG, C., CHEN, J. (2019): Measurement and prediction of regional traffic volume in holidays. In: 2019 IEEE Intelligent Transportation Systems Conference (ITSC). 486−491.
<https://doi.org/10.1109/ITSC.2019.8917230>
56. WU, Y., ZHANG, S., HAO, J., LIU, H., WU, X., HU, J., WALSH, M.P., WALLINGTON, T.J., ZHANG, K.M., STEVANOVIC, S. (2017): On-road vehicle emissions and their control in China: A review and outlook. Science of the Total Environment, 574, 332−349.
<https://doi.org/10.1016/j.scitotenv.2016.09.040>
57. ZHANG, X., HU, Y., LIN, Y. (2020): The influence of highway on local economy: Evidence from China’s Yangtze River Delta region. Journal of Transport Geography, 82, 102600.
<https://doi.org/10.1016/j.jtrangeo.2019.102600>
58. ZHU, Z., PENG, B., XIONG, C., ZHANG, L. (2016): Short‐term traffic flow prediction with linear conditional Gaussian Bayesian network. Journal of advanced transportation, 50, 6, 1111−1123.
<https://doi.org/10.1002/atr.1392>