An investigation of customers’ intention to use self-collection services for last-mile delivery

Yuen, Kum Fai; Wang, Xueqin; Ng, Li Ting Wendy; Wong, Yiik Diew

doi:10.1016/j.tranpol.2018.03.001

Cited by 196 publications

(121 citation statements)

References 28 publications

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“…Surveys are rather rare in last mile logistics research, with only 13 articles using this methodology. The surveys focus mainly on consumers, i.e., consumer behavior [2,57,162,163], customer satisfaction [158], and consumer experience [174].…”

Section: Methodologies Usedmentioning

confidence: 99%

“…Microeconomic theory is the largest group, including game theory [16,107], agency theory [76], and fuzzy set theory [6]. The theory of diffusion of innovation is used in two studies [56,57]. Competitive theory includes contingency theory, used in two articles [45,151].…”

Section: Theoretical Lensesmentioning

confidence: 99%

“…Comparison of delivery alternatives [34][35][36]59,60,64,65]; self-service technology [4,30,53,[56][57][58]63,66]; collection and delivery points [31,32,54,61]…”

Section: Aspects and Facets Count Emerging Technologies And Innovatiomentioning

confidence: 99%

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Framework of Last Mile Logistics Research: A Systematic Review of the Literature

2019

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Coincident with the rapid growth of omni-channel retailing, growing urbanization, changing consumer behavior, and increasing focus on sustainability, academic interest in the area of last mile logistics has significantly increased. The growth in academic publications has been tremendous, with three out of four articles appearing within the past five years. The influx of research spans multiple disciplines and various methodologies, underlining the complexity and fragmentation of last mile logistics research, which leads to a lack of unity in the understanding of the concept. We provide a systematic review and classification of the literature to provide a more coherent view of last mile logistics research. The review covers 155 peer-reviewed journal publications focusing on last mile logistics. Findings demonstrate that the literature embraces a diversity of aspects and facets that are classified into five themes: emerging trends and technologies, operational optimization, supply chain structures, performance measurement, and policy. Further, we propose a framework of last mile logistics literature that comprises five components and their interrelationships, namely, last mile logistics, last mile distribution, last mile fulfillment, last mile transport, and last mile delivery. The results provide a foundation for further development of this research area by proposing avenues for future research.

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Section: Methodologies Usedmentioning

confidence: 99%

Section: Theoretical Lensesmentioning

confidence: 99%

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Framework of Last Mile Logistics Research: A Systematic Review of the Literature

2019

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“…The methodology is based on the most significant works in CL [34] and LM proposed by the Massachusetts Institute of Technology (MIT) square mile project [35][36][37][38][39]. MIT Center for Transportation and Logistics creates the LM methodology as a UL atlas in mega cities focusing on the relevant data collection in the logistic processes in the urban zones.…”

Section: Research Frameworkmentioning

confidence: 99%

Logistic Modeling of the Last Mile: Case Study Santiago, Chile

et al. 2020

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This research proposes a new distribution system of goods in the historical center of the city of Santiago, Chile. For the design of the urban logistic system, the methodology city logistics and last mile are used. This design incorporates to the freight transport flexible solutions that improve the efficiency of the distribution process and trade supply, minimizing the environmental impact of the atmospheric pollution (AP). The proposal was made through the data collection, the characterization of the sector and the diagnosis of the urban logistics processes. The analysis of the factors allowed to evaluate the costs of the AP negative externalities. The causes were used as design criteria for the proposals, with the aim of improving the quality of life of the city users. The physical location selection of the Cross-Docking was made through an optimization model of maximum coverage. The optimization algorithm of the nearest neighbor was proposed for vehicle routing. The analytic hierarchy process (AHP) was used to generate a ranking of the best non-polluting vehicles to be used in the zone. Finally, the results obtained allowed a 53 ton decrease in carbon dioxide in the square kilometer and reduced 1103 h of interruptions per year in the vehicular congestion of the sector.

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“…Since home deliveries present many disadvantages, such as low efficiency and flexibility (Junjie & Min, 2013;Ehmke & Campbell, 2014;van Duin et al, 2016), it is necessary to consider alternative delivery methods (Nuzzolo & Comi, 2014). Thus, a collection and delivery point (CDP) is one interesting alternative as a more convenient and flexible delivery option for customers and companies and one solution to the last-mile delivery problem (McLeod et al, 2006;Xu et al, 2011;Morganti et al, 2014b;Iwan et al, 2016;Oliveira et al, 2017;Allen et al, 2018;Yuen et al, 2018). This solution may also result reduce the number of home delivery failure (McLeod et al, 2006;Kedia et al, 2017), the freight charges for stakeholders, the number of deliveries (due to the consolidation of multiple deliveries in a single point), the number of trips and, consequently, the congestion and emission pollutants (McLeod et al, 2006;Allen et al, 2018), improving the efficiency of the delivery process by reducing fuel and workforce consumption and increases the ratio of successful stops/parcels deliveries (van Duin et al, 2016;Wang et al, 2018).…”

Section: Introductionmentioning

confidence: 99%

Analysis of accessibility from collection and delivery points: towards the sustainability of the e-commerce delivery

Oliveira

Sousa

et al. 2019

urbe, Rev. Bras. Gest. Urbana

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The collection and delivery points (CDP) are an alternative to home deliveries and an important opportunity to reduce failed deliveries within urban areas. In this study, we propose to analyze the accessibility from CDPs located in commercial establishments (drugstores, gas stations, post offices, supermarkets, and malls) considered most attractive by e-consumers to receive this delivery solution. The methodological approach uses spatial analysis to identify the coverage area of the CDPs considering socioeconomic data and e-consumer preferences. Also, spatial tools to analyze the accessibility of CDPs were used, considering the transport infrastructure, the population location, and job opportunities location through different transport modes. The results indicated differences in levels of accessibility between the CDPs, highlighting the important associations among economic activities, land use patterns, and transport to plan for sustainable cities. The use of cluster analysis methods as a methodological approach is one contribution and can be replicated to support decision-making in other cities.

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An investigation of customers’ intention to use self-collection services for last-mile delivery

Cited by 196 publications

References 28 publications

Framework of Last Mile Logistics Research: A Systematic Review of the Literature

Framework of Last Mile Logistics Research: A Systematic Review of the Literature

Logistic Modeling of the Last Mile: Case Study Santiago, Chile

Analysis of accessibility from collection and delivery points: towards the sustainability of the e-commerce delivery

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