IDEAS home Printed from https://ideas.repec.org/a/bum/cactus/v4y2022i2p35-45.html
   My bibliography  Save this article

Intermodal Gis Analysis Model For Assessing The Travel Cost To Tourist Resorts In Romania

Author

Listed:
  • Antonio Valentin Tache

    (National Institute for Research and Development in Constructions, Urbanism and Sustainable Spatial Development URBAN-INCERC, Bucharest, Romania)

  • Alexandru-Ionut Petrisor

    (Ion Mincu University of Architecture and Urbanism, Bucharest, Romania; National Institute for Research and Development in Tourism, Bucharest, Romania; National Institute for Research and Development in Constructions, Urbanism and Sustainable Spatial Development URBAN-INCERC, Bucharest, Romania)

  • Ovidiu-Eugen Ciogescu

    (S.C. Electrovalcea S.R.L., Râmnicu Valcea, Romania)

  • Maria-Monica Tache

    (Ion Mincu University of Architecture and Urbanism, Bucharest, Romania; National Institute for Research and Development in Tourism, Bucharest, Romania)

Abstract

Tourists, like any other users of transport systems, seek to travel safely from origin to destination, choosing the appropriate route in relation to the speed, comfort, and cost of trip. Therefore, the goal is, from a tourism transport planning perspective, to minimize connections and, wherever necessary, make them as efficient as possible. Multimodal solutions allow passengers to adopt less polluting modes of transport whenever possible, encouraging a more sustainable journey. Digital solutions and integrated planning services offer the potential for sustainable, easy-to-use and efficient multimodal travel. The purpose of this article is to present a novel GIS-type IT solution for assessing the cost of multimodal transport to tourist resorts in Romania. The IT platform considers the movement of tourists to tourist resorts through two networks in the intermodal system, railways and national roads, connected through nodes represented by the railway stations.

Suggested Citation

  • Antonio Valentin Tache & Alexandru-Ionut Petrisor & Ovidiu-Eugen Ciogescu & Maria-Monica Tache, 2022. "Intermodal Gis Analysis Model For Assessing The Travel Cost To Tourist Resorts In Romania," Cactus - The tourism journal for research, education, culture and soul, Bucharest University of Economic Studies, vol. 4(2), pages 35-45.
    • Handle: RePEc:bum:cactus:v:4:y:2022:i:2:p:35-45
    as

    Download full text from publisher

    File URL: https://www.cactus-journal-of-tourism.ase.ro/Pdf/vol_4_2/II_3_Tache_et_al.pdf
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Fayyaz, S. Kiavash & Liu, Xiaoyue Cathy & Porter, Richard J., 2017. "Dynamic transit accessibility and transit gap causality analysis," Journal of Transport Geography, Elsevier, vol. 59(C), pages 27-39.
    Full references (including those not matched with items on IDEAS)

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Huang, Ying & Xu, Wangtu (Ato), 2021. "Spatial and temporal heterogeneity of the impact of high-speed railway on urban economy: Empirical study of Chinese cities," Journal of Transport Geography, Elsevier, vol. 91(C).
    2. Gao, Deng & Li, Shicheng, 2022. "Spatiotemporal impact of railway network in the Qinghai-Tibet Plateau on accessibility and economic linkages during 1984–2030," Journal of Transport Geography, Elsevier, vol. 100(C).
    3. Barajas, Jesus & Brown, Anne, 2020. "Not Minding the Gap: Does Ride-Hailing Serve Transit Deserts?," SocArXiv y4jwk, Center for Open Science.
    4. Kelobonye, Keone & McCarney, Gary & Xia, Jianhong (Cecilia) & Swapan, Mohammad Shahidul Hasan & Mao, Feng & Zhou, Heng, 2019. "Relative accessibility analysis for key land uses: A spatial equity perspective," Journal of Transport Geography, Elsevier, vol. 75(C), pages 82-93.
    5. Jairo Ortega & János Tóth & Tamás Péter, 2021. "A Comprehensive Model to Study the Dynamic Accessibility of the Park & Ride System," Sustainability, MDPI, vol. 13(7), pages 1-17, April.
    6. Meijie Chen & Yumin Chen & Xiaoguang Wang & Huangyuan Tan & Fenglan Luo, 2019. "Spatial Difference of Transit-Based Accessibility to Hospitals by Regions Using Spatially Adjusted ANOVA," IJERPH, MDPI, vol. 16(11), pages 1-20, May.
    7. Barajas, Jesus M. & Brown, Anne, 2021. "Not minding the gap: Does ride-hailing serve transit deserts?," Journal of Transport Geography, Elsevier, vol. 90(C).
    8. N. Nima Haghighi & Xiaoyue Cathy Liu & Ran Wei & Wenwen Li & Hu Shao, 2018. "Using Twitter data for transit performance assessment: a framework for evaluating transit riders’ opinions about quality of service," Public Transport, Springer, vol. 10(2), pages 363-377, August.
    9. Ittamalla, Rajesh & Srinivas Kumar, Daruri Venkata, 2021. "Determinants of holistic passenger experience in public transportation: Scale development and validation," Journal of Retailing and Consumer Services, Elsevier, vol. 61(C).
    10. Arbex, Renato & Cunha, Claudio B., 2020. "Estimating the influence of crowding and travel time variability on accessibility to jobs in a large public transport network using smart card big data," Journal of Transport Geography, Elsevier, vol. 85(C).
    11. Weckström, Christoffer & Kujala, Rainer & Mladenović, Miloš N. & Saramäki, Jari, 2019. "Assessment of large-scale transitions in public transport networks using open timetable data: case of Helsinki metro extension," Journal of Transport Geography, Elsevier, vol. 79(C), pages 1-1.
    12. Luis A. Guzman & Daniel Oviedo & Rafael Cardona, 2018. "Accessibility Changes: Analysis of the Integrated Public Transport System of Bogotá," Sustainability, MDPI, vol. 10(11), pages 1-15, October.
    13. Aravind, Avani & Venthuruthiyil, Suvin P. & Mishra, Sabyasachee, 2024. "Equity and accessibility assessment of fixed route transit systems integrated with on-demand feeder services," Journal of Transport Geography, Elsevier, vol. 121(C).
    14. Shixiong Jiang & Wei Guan & Liu Yang & Wenyi Zhang, 2020. "Feeder Bus Accessibility Modeling and Evaluation," Sustainability, MDPI, vol. 12(21), pages 1-17, October.
    15. repec:osf:socarx:y4jwk_v1 is not listed on IDEAS
    16. Karimpour, Abolfazl & Hosseinzadeh, Aryan & Kluger, Robert, 2023. "A data-driven approach to estimating dockless electric scooter service areas," Journal of Transport Geography, Elsevier, vol. 109(C).
    17. Cheng, Shaowu & Xie, Bing & Bie, Yiming & Zhang, Yaping & Zhang, Shen, 2018. "Measure dynamic individual spatial-temporal accessibility by public transit: Integrating time-table and passenger departure time," Journal of Transport Geography, Elsevier, vol. 66(C), pages 235-247.
    18. Wei, Ran & Liu, Xiaoyue & Mu, Yongjian & Wang, Liming & Golub, Aaron & Farber, Steven, 2017. "Evaluating public transit services for operational efficiency and access equity," Journal of Transport Geography, Elsevier, vol. 65(C), pages 70-79.
    19. Shi, Yuji & Blainey, Simon & Sun, Chao & Jing, Peng, 2020. "A literature review on accessibility using bibliometric analysis techniques," Journal of Transport Geography, Elsevier, vol. 87(C).
    20. Kim, Junghwan & Lee, Bumsoo, 2019. "More than travel time: New accessibility index capturing the connectivity of transit services," Journal of Transport Geography, Elsevier, vol. 78(C), pages 8-18.
    21. Stępniak, Marcin & Pritchard, John P. & Geurs, Karst T. & Goliszek, Sławomir, 2019. "The impact of temporal resolution on public transport accessibility measurement: Review and case study in Poland," Journal of Transport Geography, Elsevier, vol. 75(C), pages 8-24.

    More about this item

    Keywords

    accessibility; web application; multimodal transport; Romania;
    All these keywords.

    JEL classification:

    • R41 - Urban, Rural, Regional, Real Estate, and Transportation Economics - - Transportation Economics - - - Transportation: Demand, Supply, and Congestion; Travel Time; Safety and Accidents; Transportation Noise
    • Z30 - Other Special Topics - - Tourism Economics - - - General
    • C23 - Mathematical and Quantitative Methods - - Single Equation Models; Single Variables - - - Models with Panel Data; Spatio-temporal Models

    Statistics

    Access and download statistics

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:bum:cactus:v:4:y:2022:i:2:p:35-45. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Daniel Bulin (email available below). General contact details of provider: https://edirc.repec.org/data/fcasero.html .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.