IDEAS home Printed from https://ideas.repec.org/a/eee/transa/v102y2017icp84-97.html
   My bibliography  Save this article

Analyzing tour chaining patterns of urban commercial vehicles

Author

Listed:
  • Khan, Mubassira
  • Machemehl, Randy

Abstract

This paper presents an innovative methodology to comprehensively model two dimensions of commercial vehicle travel activity using disaggregate level commercial vehicle daily travel data. Two dimensions of freight activity considered in this model include the daily tour-chaining pattern(s), and the number of trips made in the tour-chains. The results of this study indicate that a host of factors including cargo characteristics, trip characteristics, activity features, base location of commercial vehicle trips, and the attributes of intermediate stop locations affect the choice of tour chain strategy and the associated number of daily trips.

Suggested Citation

  • Khan, Mubassira & Machemehl, Randy, 2017. "Analyzing tour chaining patterns of urban commercial vehicles," Transportation Research Part A: Policy and Practice, Elsevier, vol. 102(C), pages 84-97.
    • Handle: RePEc:eee:transa:v:102:y:2017:i:c:p:84-97
    DOI: 10.1016/j.tra.2016.08.014
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S0965856415301476
    Download Restriction: Full text for ScienceDirect subscribers only
    File URL: https://libkey.io/10.1016/j.tra.2016.08.014?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    As the access to this document is restricted, you may want to search for a different version of it.

    References listed on IDEAS

    as
    1. Moshe Ben-Akiva & John L. Bowman, 1998. "Integration of an Activity-based Model System and a Residential Location Model," Urban Studies, Urban Studies Journal Limited, vol. 35(7), pages 1131-1153, June.
    2. Andres Weintraub & Rafael Epstein & Ramiro Morales & Jorge Seron & Pier Traverso, 1996. "A Truck Scheduling System Improves Efficiency in the Forest Industries," Interfaces, INFORMS, vol. 26(4), pages 1-12, August.
    3. Liu, Jiyin & Li, Chung-Lun & Chan, Chun-Yan, 2003. "Mixed truck delivery systems with both hub-and-spoke and direct shipment," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 39(4), pages 325-339, July.
    4. Ruan, Minyan & Lin, Jie (Jane) & Kawamura, Kazuya, 2012. "Modeling urban commercial vehicle daily tour chaining," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 48(6), pages 1169-1184.
    5. Bhat, Chandra R., 2008. "The multiple discrete-continuous extreme value (MDCEV) model: Role of utility function parameters, identification considerations, and model extensions," Transportation Research Part B: Methodological, Elsevier, vol. 42(3), pages 274-303, March.
    6. Bhat, Chandra R., 2005. "A multiple discrete-continuous extreme value model: formulation and application to discretionary time-use decisions," Transportation Research Part B: Methodological, Elsevier, vol. 39(8), pages 679-707, September.
    7. Lawrence D. Burns & Randolph W. Hall & Dennis E. Blumenfeld & Carlos F. Daganzo, 1985. "Distribution Strategies that Minimize Transportation and Inventory Costs," Operations Research, INFORMS, vol. 33(3), pages 469-490, June.
    8. Hunt, J.D. & Stefan, K.J., 2007. "Tour-based microsimulation of urban commercial movements," Transportation Research Part B: Methodological, Elsevier, vol. 41(9), pages 981-1013, November.
    9. Gerard Jong & Inge Vierth & Lori Tavasszy & Moshe Ben-Akiva, 2013. "Recent developments in national and international freight transport models within Europe," Transportation, Springer, vol. 40(2), pages 347-371, February.
    Full references (including those not matched with items on IDEAS)

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Thoen, Sebastiaan & Tavasszy, Lóránt & de Bok, Michiel & Correia, Goncalo & van Duin, Ron, 2020. "Descriptive modeling of freight tour formation: A shipment-based approach," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 140(C).
    2. Tapia, Rodrigo J. & de Jong, Gerard & Larranaga, Ana M. & Bettella Cybis, Helena B., 2020. "Application of MDCEV to infrastructure planning in regional freight transport," Transportation Research Part A: Policy and Practice, Elsevier, vol. 133(C), pages 255-271.
    3. Dalla Chiara, Giacomo & Goodchild, Anne, 2020. "Do commercial vehicles cruise for parking? Empirical evidence from Seattle," Transport Policy, Elsevier, vol. 97(C), pages 26-36.
    4. Siripirote, Treerapot & Sumalee, Agachai & Ho, H.W., 2020. "Statistical estimation of freight activity analytics from Global Positioning System data of trucks," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 140(C).

    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. Khan, Mubassira & Machemehl, Randy, 2017. "Commercial vehicles time of day choice behavior in urban areas," Transportation Research Part A: Policy and Practice, Elsevier, vol. 102(C), pages 68-83.
    2. Rodrigo J. Tapia & Gerard Jong & Ana M. Larranaga & Helena B. Bettella Cybis, 2021. "Exploring Multiple‐discreteness in Freight Transport. A Multiple Discrete Extreme Value Model Application for Grain Consolidators in Argentina," Networks and Spatial Economics, Springer, vol. 21(3), pages 581-608, September.
    3. Chow, Joseph Y.J. & Recker, Will W., 2012. "Inverse optimization with endogenous arrival time constraints to calibrate the household activity pattern problem," Transportation Research Part B: Methodological, Elsevier, vol. 46(3), pages 463-479.
    4. Taha Hossein Rashidi & Matthew J. Roorda, 2018. "A business establishment fleet ownership and composition model," Transportation, Springer, vol. 45(3), pages 971-987, May.
    5. Tapia, Rodrigo J. & de Jong, Gerard & Larranaga, Ana M. & Bettella Cybis, Helena B., 2020. "Application of MDCEV to infrastructure planning in regional freight transport," Transportation Research Part A: Policy and Practice, Elsevier, vol. 133(C), pages 255-271.
    6. Ruan, Minyan & Lin, Jie (Jane) & Kawamura, Kazuya, 2012. "Modeling urban commercial vehicle daily tour chaining," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 48(6), pages 1169-1184.
    7. Castro, Marisol & Bhat, Chandra R. & Pendyala, Ram M. & Jara-Díaz, Sergio R., 2012. "Accommodating multiple constraints in the multiple discrete–continuous extreme value (MDCEV) choice model," Transportation Research Part B: Methodological, Elsevier, vol. 46(6), pages 729-743.
    8. Jara-Díaz, Sergio & Rosales-Salas, Jorge, 2017. "Beyond transport time: A review of time use modeling," Transportation Research Part A: Policy and Practice, Elsevier, vol. 97(C), pages 209-230.
    9. Ye, Xin & Garikapati, Venu M. & You, Daehyun & Pendyala, Ram M., 2017. "A practical method to test the validity of the standard Gumbel distribution in logit-based multinomial choice models of travel behavior," Transportation Research Part B: Methodological, Elsevier, vol. 106(C), pages 173-192.
    10. Ozonder, Gozde & Miller, Eric J., 2021. "Longitudinal investigation of skeletal activity episode timing decisions – A copula approach," Journal of choice modelling, Elsevier, vol. 40(C).
    11. Shasha Liu & Toshiyuki Yamamoto & Enjian Yao, 2023. "Joint modeling of mode choice and travel distance with intra-household interactions," Transportation, Springer, vol. 50(5), pages 1527-1552, October.
    12. Kidokoro, Yukihiro, 2016. "A micro foundation for discrete choice models with multiple categories of goods," Journal of choice modelling, Elsevier, vol. 19(C), pages 54-72.
    13. Richards, Timothy J. & Mancino, Lisa, 2011. "Demand for Food-Away-From-Home: A Multiple Discrete/Continuous Extreme Value Model," 2012 AAEA/EAAE Food Environment Symposium 123390, Agricultural and Applied Economics Association.
    14. Kuriyama, Koichi & Shoji, Yasushi & Tsuge, Takahiro, 2020. "The value of leisure time of weekends and long holidays: The multiple discrete–continuous extreme value (MDCEV) choice model with triple constraints," Journal of choice modelling, Elsevier, vol. 37(C).
    15. Richards, Timothy J. & Gómez, Miguel I. & Pofahl, Geoffrey, 2012. "A Multiple-discrete/Continuous Model of Price Promotion," Journal of Retailing, Elsevier, vol. 88(2), pages 206-225.
    16. Woo, JongRoul & Choi, Jae Young & Shin, Jungwoo & Lee, Jongsu, 2014. "The effect of new media on consumer media usage: An empirical study in South Korea," Technological Forecasting and Social Change, Elsevier, vol. 89(C), pages 3-11.
    17. Koo, Yoonmo & Kim, Chang Seob & Hong, Junhee & Choi, Ie-Jung & Lee, Jongsu, 2012. "Consumer preferences for automobile energy-efficiency grades," Energy Economics, Elsevier, vol. 34(2), pages 446-451.
    18. Koichi Yonezawa & Miguel I Gómez & Timothy J Richards, 2020. "The Robinson–Patman Act and Vertical Relationships," American Journal of Agricultural Economics, John Wiley & Sons, vol. 102(1), pages 329-352, January.
    19. Junyi Zhang & Lili Xu & Akimasa Fujiwara, 2012. "Developing an integrated scobit-based activity participation and time allocation model to explore influence of childcare on women’s time use behaviour," Transportation, Springer, vol. 39(1), pages 125-149, January.
    20. Huh, Sung-Yoon & Lee, Hyejin & Shin, Jungwoo & Lee, Donghyun & Jang, Jinyoung, 2018. "Inter-fuel substitution path analysis of the korea cement industry," Renewable and Sustainable Energy Reviews, Elsevier, vol. 82(P3), pages 4091-4099.

    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:eee:transa:v:102:y:2017:i:c:p:84-97. 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: Catherine Liu (email available below). General contact details of provider: http://www.elsevier.com/wps/find/journaldescription.cws_home/547/description#description .

    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.