IDEAS home Printed from https://ideas.repec.org/a/gam/jsusta/v11y2019i6p1591-d214287.html
   My bibliography  Save this article

Segmentation, Classification, and Determinants of In-Store Shopping Activity and Travel Behaviour in the Digitalisation Era: The Context of a Developing Country

Author

Listed:
  • Tri Basuki Joewono

    (Department of Civil Engineering, Faculty of Engineering, Parahyangan Catholic University, Jl. Ciumbuleuit No. 94, Bandung 40141, Indonesia)

  • Ari K. M. Tarigan

    (Department of Safety, Economics and Planning, Faculty of Science and Technology, University of Stavanger, P.O. Box 8600 Forus, 4036 Stavanger, Norway)

  • Muhamad Rizki

    (Department of Civil Engineering, Faculty of Engineering, Parahyangan Catholic University, Jl. Ciumbuleuit No. 94, Bandung 40141, Indonesia)

Abstract

The influence of digital technologies in the current era has substantially affected the way individuals engage with in-store shopping activities and travels. To prepare a transport policy with sustainable orientations, it is important to investigate factors that determine in-store activity-travel patterns. In particular, knowledge about how in-store activities and travels interact with other forms of activities and travels should be updated, since the use of Information and Communications Technology (ICT) may be substantial to create new patterns of activity and travel. It is believed that shopping travel and activity behaviours may indicate the increase or decrease of physical travels, which is crucial for carbon emission measures in transportation sector. While numerous studies about this issue have been recently carried out based on the context of developed countries, little is known for the context of developing countries. To offer a better understanding of the nature of in-store shopping travels and activities in the digitalisation era, a household survey was conducted in Bandung, Indonesia. This survey tends to acquire data from respondents as a representation of developing countries on their shopping behaviour, travel characteristics, and spatial attributes that represent the conditions of their built environment. The results from the survey show that individuals in a developing country are still having interest in in-store grocery shopping even though their daily life has a close connection with digital life. The results of the analysis show that grocery shoppers in a developing country simultaneously consider shopping activity, other activities, modes of transport, and shopping expenses. This manifests in the form of trip-chaining activities and affects decisions on the modes of transport used. The results indicate a significant portion of trip frequency for in-store shopping travel with motorised modes. Since motorised modes are the main contribution for carbon emission production in transportation sector, the results of this study are critical for developing transport demand measures and setting relevant policy schemes to improve the sustainability of transportation system, especially for the context of developing countries.

Suggested Citation

  • Tri Basuki Joewono & Ari K. M. Tarigan & Muhamad Rizki, 2019. "Segmentation, Classification, and Determinants of In-Store Shopping Activity and Travel Behaviour in the Digitalisation Era: The Context of a Developing Country," Sustainability, MDPI, vol. 11(6), pages 1-23, March.
  • Handle: RePEc:gam:jsusta:v:11:y:2019:i:6:p:1591-:d:214287
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/2071-1050/11/6/1591/pdf
    Download Restriction: no

    File URL: https://www.mdpi.com/2071-1050/11/6/1591/
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Suel, Esra & Polak, John W., 2017. "Development of joint models for channel, store, and travel mode choice: Grocery shopping in London," Transportation Research Part A: Policy and Practice, Elsevier, vol. 99(C), pages 147-162.
    2. Lee, Richard J. & Sener, Ipek N. & Mokhtarian, Patricia L. & Handy, Susan L., 2017. "Relationships between the online and in-store shopping frequency of Davis, California residents," Transportation Research Part A: Policy and Practice, Elsevier, vol. 100(C), pages 40-52.
    3. Kitamura, Ryuichi & Fujii, Satoshi & Pas, Eric I., 1997. "Time-use data, analysis and modeling: toward the next generation of transportation planning methodologies," Transport Policy, Elsevier, vol. 4(4), pages 225-235, October.
    4. Mokhtarian, Patricia L., 1991. "Telecommuting and Travel: State of the Practice, State of the Art," University of California Transportation Center, Working Papers qt4zc486ph, University of California Transportation Center.
    5. Gould, Jane & Golob, Thomas F., 1998. "Will Electronic Home Shopping Reduce Travel?," University of California Transportation Center, Working Papers qt2sq3k3zg, University of California Transportation Center.
    6. Hsiao, Ming-Hsiung, 2009. "Shopping mode choice: Physical store shopping versus e-shopping," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 45(1), pages 86-95, January.
    7. Mokhtarian, Patricia L. & Salomon, Ilan, 2001. "How derived is the demand for travel? Some conceptual and measurement considerations," Transportation Research Part A: Policy and Practice, Elsevier, vol. 35(8), pages 695-719, September.
    8. Kay Axhausen & Andrea Zimmermann & Stefan Schönfelder & Guido Rindsfüser & Thomas Haupt, 2002. "Observing the rhythms of daily life: A six-week travel diary," Transportation, Springer, vol. 29(2), pages 95-124, May.
    9. Evert‐Jan Visser & Martin Lanzendorf, 2004. "Mobility And Accessibility Effects Of B2c E‐Commerce: A Literature Review," Tijdschrift voor Economische en Sociale Geografie, Royal Dutch Geographical Society KNAG, vol. 95(2), pages 189-205, April.
    10. Farag, Sendy & Schwanen, Tim & Dijst, Martin & Faber, Jan, 2007. "Shopping online and/or in-store? A structural equation model of the relationships between e-shopping and in-store shopping," Transportation Research Part A: Policy and Practice, Elsevier, vol. 41(2), pages 125-141, February.
    11. Bhat, Chandra R. & Frusti, Teresa & Zhao, Huimin & Schönfelder, Stefan & Axhausen, Kay W., 2004. "Intershopping duration: an analysis using multiweek data," Transportation Research Part B: Methodological, Elsevier, vol. 38(1), pages 39-60, January.
    12. Orit Rotem-Mindali & Jesse Weltevreden, 2013. "Transport effects of e-commerce: what can be learned after years of research?," Transportation, Springer, vol. 40(5), pages 867-885, September.
    13. Frank Primerano & Michael Taylor & Ladda Pitaksringkarn & Peter Tisato, 2008. "Defining and understanding trip chaining behaviour," Transportation, Springer, vol. 35(1), pages 55-72, January.
    14. Subbarao, S.S.V. & Krishna Rao, K,V., 2013. "Trip Chaining Behavior in Developing Countries: A Study of Mumbai Metropolitan Region, India," European Transport \ Trasporti Europei, ISTIEE, Institute for the Study of Transport within the European Economic Integration, issue 53, pages 1-7.
    15. David Levinson & Ajay Kumar, 1995. "Activity, Travel, and the Allocation of Time," Working Papers 199505, University of Minnesota: Nexus Research Group.
    16. Christa Hubers & Tim Schwanen & Martin Dijst, 2008. "Ict And Temporal Fragmentation Of Activities: An Analytical Framework And Initial Empirical Findings," Tijdschrift voor Economische en Sociale Geografie, Royal Dutch Geographical Society KNAG, vol. 99(5), pages 528-546, December.
    17. Gärling, Tommy & Eek, Daniel & Loukopoulos, Peter & Fujii, Satoshi & Johansson-Stenman, Olof & Kitamura, Ryuichi & Pendyala, Ram & Vilhelmson, Bertil, 2002. "A conceptual analysis of the impact of travel demand management on private car use," Transport Policy, Elsevier, vol. 9(1), pages 59-70, January.
    18. Xinyu Cao & Susan Handy & Patricia Mokhtarian, 2006. "The Influences of the Built Environment and Residential Self-Selection on Pedestrian Behavior: Evidence from Austin, TX," Transportation, Springer, vol. 33(1), pages 1-20, January.
    19. Bhat, Chandra R., 1998. "Analysis of travel mode and departure time choice for urban shopping trips," Transportation Research Part B: Methodological, Elsevier, vol. 32(6), pages 361-371, August.
    20. Gould, Jane & Golob, Thomas F., 1997. "Shopping Without Travel or Travel Without Shopping? An Investigation of Electronic Home Shopping," University of California Transportation Center, Working Papers qt6vc504h9, University of California Transportation Center.
    21. Patricia Mokhtarian, 2004. "A conceptual analysis of the transportation impacts of B2C e-commerce," Transportation, Springer, vol. 31(3), pages 257-284, August.
    22. Handy, Susan & Cao, Xinyu & Mokhtarian, Patricia L., 2005. "Correlation or causality between the built environment and travel behavior? Evidence from Northern California," University of California Transportation Center, Working Papers qt5b76c5kg, University of California Transportation Center.
    23. Bhat, Chandra R. & Singh, Sujit K., 2000. "A comprehensive daily activity-travel generation model system for workers," Transportation Research Part A: Policy and Practice, Elsevier, vol. 34(1), pages 1-22, January.
    24. Reilly, Michael & Landis, John, 2003. "The Influence of Built-Form and Land Use on Mode Choice," University of California Transportation Center, Working Papers qt46r3k871, University of California Transportation Center.
    25. Schwanen, Tim & Mokhtarian, Patricia L., 2005. "What Affects Commute Mode Choice: Neighborhood Physical Structure or Preferences Toward Neighborhoods?," University of California Transportation Center, Working Papers qt4nq9r1c9, University of California Transportation Center.
    26. Toshiyuki Yamamoto & Ryuichi Kitamura, 1999. "An analysis of time allocation to in-home and out-of-home discretionary activities across working days and non- working days," Transportation, Springer, vol. 26(2), pages 231-250, May.
    27. Stephan Brunow & Manuela Gründer, 2013. "The impact of activity chaining on the duration of daily activities," Transportation, Springer, vol. 40(5), pages 981-1001, September.
    28. Park, C Whan & Iyer, Easwar S & Smith, Daniel C, 1989. "The Effects of Situational Factors on In-Store Grocery Shopping Behavior: The Role of Store Environment and Time Available for Shopping," Journal of Consumer Research, Journal of Consumer Research Inc., vol. 15(4), pages 422-433, March.
    29. Kieran Donaghy & Georg Rudinger & Stefan Poppelreuter, 2004. "Societal trends, mobility behaviour and sustainable transport in Europe and North America," Transport Reviews, Taylor & Francis Journals, vol. 24(6), pages 679-690, August.
    30. Xinyu Cao & Zhiyi Xu & Frank Douma, 2012. "The interactions between e-shopping and traditional in-store shopping: an application of structural equations model," Transportation, Springer, vol. 39(5), pages 957-974, September.
    31. Theo Arentze & Aloys Borgers & Harry Timmermans, 1993. "A Model Of Multi‐Purpose Shopping Trip Behavior," Papers in Regional Science, Wiley Blackwell, vol. 72(3), pages 239-256, July.
    32. Rotem-Mindali, Orit & Salomon, Ilan, 2007. "The impacts of E-retail on the choice of shopping trips and delivery: Some preliminary findings," Transportation Research Part A: Policy and Practice, Elsevier, vol. 41(2), pages 176-189, February.
    33. Henry Kaiser, 1974. "An index of factorial simplicity," Psychometrika, Springer;The Psychometric Society, vol. 39(1), pages 31-36, March.
    34. McNally, Michael G. & Ryan, Sherry, 1992. "A Comparative Assessment of Travel Characteristics for Neo-Traditional Developments," University of California Transportation Center, Working Papers qt03n6593v, University of California Transportation Center.
    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. Yuchen Gao & Jingrui Chen, 2019. "The Risk Reduction and Sustainable Development of Shared Transportation: The Chinese Online Car-hailing Policy Evaluation in the Digitalization Era," Sustainability, MDPI, vol. 11(9), pages 1-21, May.
    2. Alexander Rossolov & Halyna Rossolova & José Holguín-Veras, 2021. "Online and in-store purchase behavior: shopping channel choice in a developing economy," Transportation, Springer, vol. 48(6), pages 3143-3179, December.
    3. Rossetti, Tomás & Yoon, So-Yeon & Daziano, Ricardo A., 2022. "Social distancing and store choice in times of a pandemic," Journal of Retailing and Consumer Services, Elsevier, vol. 65(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. Shi, Kunbo & De Vos, Jonas & Yang, Yongchun & Witlox, Frank, 2019. "Does e-shopping replace shopping trips? Empirical evidence from Chengdu, China," Transportation Research Part A: Policy and Practice, Elsevier, vol. 122(C), pages 21-33.
    2. Esra Suel & Nicolò Daina & John W. Polak, 2018. "A hazard-based approach to modelling the effects of online shopping on intershopping duration," Transportation, Springer, vol. 45(2), pages 415-428, March.
    3. Suel, Esra & Polak, John W., 2017. "Development of joint models for channel, store, and travel mode choice: Grocery shopping in London," Transportation Research Part A: Policy and Practice, Elsevier, vol. 99(C), pages 147-162.
    4. Shah, Harsh & Carrel, Andre L. & Le, Huyen T.K., 2021. "What is your shopping travel style? Heterogeneity in US households’ online shopping and travel," Transportation Research Part A: Policy and Practice, Elsevier, vol. 153(C), pages 83-98.
    5. Alexander Rossolov & Halyna Rossolova & José Holguín-Veras, 2021. "Online and in-store purchase behavior: shopping channel choice in a developing economy," Transportation, Springer, vol. 48(6), pages 3143-3179, December.
    6. Jonas De Vos & Long Cheng & Frank Witlox, 2021. "Do changes in the residential location lead to changes in travel attitudes? A structural equation modeling approach," Transportation, Springer, vol. 48(4), pages 2011-2034, August.
    7. Arranz-López, Aldo & Blitz, Andreas & Elizondo-Candanedo, Raúl F. & Lanzendorf, Martin, 2024. "The connections between e-shopping and sustainable transport choices – Comparing urban and rural environments," Journal of Transport Geography, Elsevier, vol. 117(C).
    8. Schmid, Basil & Axhausen, Kay W., 2019. "In-store or online shopping of search and experience goods: A hybrid choice approach," Journal of choice modelling, Elsevier, vol. 31(C), pages 156-180.
    9. Xu, Lu & Saphores, Jean-Daniel, 2024. "Does e-shopping impact household travel? Evidence from the 2017 U.S. NHTS," Journal of Transport Geography, Elsevier, vol. 115(C).
    10. Orit Rotem-Mindali & Jesse Weltevreden, 2013. "Transport effects of e-commerce: what can be learned after years of research?," Transportation, Springer, vol. 40(5), pages 867-885, September.
    11. Sascha Hoogendoorn-Lanser & Marie-José Olde Kalter & Nina T. W. Schaap, 2019. "Impact of different shopping stages on shopping-related travel behaviour: analyses of the Netherlands Mobility Panel data," Transportation, Springer, vol. 46(2), pages 341-371, April.
    12. Ding, Yu & Lu, Huapu, 2016. "Activity participation as a mediating variable to analyze the effect of land use on travel behavior: A structural equation modeling approach," Journal of Transport Geography, Elsevier, vol. 52(C), pages 23-28.
    13. Kunbo Shi & Long Cheng & Jonas De Vos & Yongchun Yang & Wanpeng Cao & Frank Witlox, 2021. "How does purchasing intangible services online influence the travel to consume these services? A focus on a Chinese context," Transportation, Springer, vol. 48(5), pages 2605-2625, October.
    14. Ben-Elia, Eran & Alexander, Bayarma & Hubers, Christa & Ettema, Dick, 2014. "Activity fragmentation, ICT and travel: An exploratory Path Analysis of spatiotemporal interrelationships," Transportation Research Part A: Policy and Practice, Elsevier, vol. 68(C), pages 56-74.
    15. Li, Shengxiao (Alex), 2023. "Revisiting the relationship between information and communication technologies and travel behavior: An investigation of older Americans," Transportation Research Part A: Policy and Practice, Elsevier, vol. 172(C).
    16. Weltevreden, Jesse W.J. & Rotem-Mindali, Orit, 2009. "Mobility effects of b2c and c2c e-commerce in the Netherlands: a quantitative assessment," Journal of Transport Geography, Elsevier, vol. 17(2), pages 83-92.
    17. Colaço, Rui & de Abreu e Silva, João, 2022. "Exploring the e-shopping geography of Lisbon: Assessing online shopping adoption for retail purchases and food deliveries using a 7-day shopping survey," Journal of Retailing and Consumer Services, Elsevier, vol. 65(C).
    18. Harsh Shah & Andre L. Carrel & Huyen T. K. Le, 2024. "Impacts of teleworking and online shopping on travel: a tour-based analysis," Transportation, Springer, vol. 51(1), pages 99-127, February.
    19. Wang, Tingting & Chen, Cynthia, 2012. "Attitudes, mode switching behavior, and the built environment: A longitudinal study in the Puget Sound Region," Transportation Research Part A: Policy and Practice, Elsevier, vol. 46(10), pages 1594-1607.
    20. Wang, Kaili & Gao, Ya & Liu, Yicong & Nurul Habib, Khandker, 2023. "Exploring the choice between in-store versus online grocery shopping through an application of Semi-Compensatory Independent Availability Logit (SCIAL) model with latent variables," Journal of Retailing and Consumer Services, Elsevier, vol. 71(C).

    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:gam:jsusta:v:11:y:2019:i:6:p:1591-:d:214287. 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: MDPI Indexing Manager (email available below). General contact details of provider: https://www.mdpi.com .

    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.