Towards enhancing the last-mile delivery: An effective crowd-tasking model with scalable solutions

Wang, Yuan; Zhang, Dongxiang; Liu, Qing; Shen, Fumin; Lee, Loo Hay

doi:10.1016/j.tre.2016.06.002

Cited by 284 publications

(166 citation statements)

References 11 publications

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“…Moreover, as citizens are more flexible and interconnected than traditional logistics service providers (LSPs), the number of failed deliveries can be reduced. In addition, integrating the crowd with other initiatives such as small load containers and pick-own-parcel stations potentially provides sustainability advantages in the future [4,27].…”

Section: Literaturementioning

confidence: 99%

Crowd logistics: an opportunity for more sustainable urban freight transport?

Buldeo

Verlinde

Merckx³

et al. 2017

Eur. Transp. Res. Rev.

210

157

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Purpose Passenger car occupancy has been falling for years. Partly empty vehicles on our road networks decrease passenger transport sustainability but also contain an opportunity for freight transport. Within Crowd logistics (CL), delivery operations are carried out by using passengers' excess capacity on journeys that are already taking place, resulting in economic, social and environmental benefits. Existing CL initiatives show, however, that there are important differences between concepts in terms of sustainability. The research aims to develop a suitable and comprehensive definition for CL and identify which factors determine the sustainability potential of CL. Methods We systematically analysed a set of 42 papers and interviewed 11 logistics practitioners in order to capture the state of practice. Results Following the literature and interviews, we firstly define CL as 'an information connectivity enabled marketplace concept that matches supply and demand for logistics services with an undefined and external crowd that has free capacity with regards to time and/or space, participates on a voluntary basis and is compensated accordingly'. Secondly, we identify a set of 18 characteristics that can describe the variety of CL concepts. Thirdly, we indicate whether the identified characteristics affect the economy, society and/or environment. The research shows that all characteristics influence economic sustainability while 11 characteristics also affect social and/ or environmental sustainability. Conclusions Our research helps local policy-makers to adapt laws and regulations to the sharing economy developments and provides insight for businesses which CL concept fits their company's corporate social responsibility strategy.

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Section: Literaturementioning

confidence: 99%

Crowd logistics: an opportunity for more sustainable urban freight transport?

Buldeo

Verlinde

Merckx³

et al. 2017

Eur. Transp. Res. Rev.

210

157

View full text Add to dashboard Cite

show abstract

“…By using crowdsourcing, the emissions of pollutants, such as nitrogen oxides, PM2.5, and PM10 from cargo trucks, can be reduced by about 55% [13]. Research has also shown that crowd logistics can reduce the pressure on the urban transportation system, improve the distribution efficiency of urban logistics, and cut down carbon emissions [9,[14][15][16]. In addition, Melo and Macharis have proposed that crowd logistics could provide benefits for all stakeholders in the last-mile delivery process (e.g., better services for customers, additional revenue for crowdsourcing operators, and profits for platform providers) [15].…”

Section: Introductionmentioning

confidence: 99%

Crowdsourcing for Sustainable Urban Logistics: Exploring the Factors Influencing Crowd Workers’ Participative Behavior

et al. 2020

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With crowd logistics becoming a crucial part of the last-mile delivery challenge in many cities, continued participation of crowd workers has become an essential issue affecting the growth of the crowd logistics platform. Understanding how people are motivated to continue their participation in crowd logistics can provide some clarity as to what policies and measures should be undertaken by the industry to support its further growth. Using the Push–Pull–Mooring (PPM) theory, we developed a research model to explain the factors influencing crowd workers’ participative behavior. Survey data from 455 crowd workers were analyzed using SmartPLS3.0 software. The results show monetary rewards and trust have a significant positive impact on the willingness of crowd workers to continue participating in crowd logistics, while work enjoyment from previous work and entry barriers for work have a significant negative impact. Trust plays an intermediary role between monetary incentives and crowd workers’ willingness to continue participating. Based on the findings of this study, we recommend that crowd logistics platforms should offer reasonable monetary incentives and keep these under constant review, build a high degree of trust and cooperation with their crowd workers, and initiate activities geared towards promoting satisfaction at work.

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“…The destination can either be consumers' homes or, increasingly, their workplaces (McKinnon and Tallam, 2003). The mode of delivery can be in-sourced (using retailer's own vehicle fleet), outsourced to a third-party logistics provider (3PL) (Boyer and Hult, 2005), or crowd-sourced using independent contractors (Wang et al, 2016). When selecting a distribution channel, retailers need to trade-off between fulfilment capabilities, inventory levels , product availability and variety (Agatz et al, 2008), transportation cost (Rabinovich et al, 2008), and responsiveness (Chopra, 2003).…”

Section: Review Of Lml Distribution Structuresmentioning

confidence: 99%

“…Intersection between last-mile operations and "sharing economy" models With the exception of one paper (Wang et al, 2016), the majority of the extant literature discusses conventional LML models. Given the rapidly growing sharing economy that generates innovative business models (e.g.…”

Section: Operational Challenges In Executing Last-mile Operationsmentioning

confidence: 99%

Consumer-driven e-commerce

Lim

Jin

Srai

2018

IJPDLM

253

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If you would like to write for this, or any other Emerald publication, then please use our Emerald for Authors service information about how to choose which publication to write for and submission guidelines are available for all. Please visit www.emeraldinsight.com/authors for more information. About Emerald www.emeraldinsight.comEmerald is a global publisher linking research and practice to the benefit of society. The company manages a portfolio of more than 290 journals and over 2,350 books and book series volumes, as well as providing an extensive range of online products and additional customer resources and services.Emerald is both COUNTER 4 and TRANSFER compliant. The organization is a partner of the Committee on Publication Ethics (COPE) and also works with Portico and the LOCKSS initiative for digital archive preservation.*Related content and download information correct at time of download. Purpose -The purpose of this paper is to re-examine the extant research on last-mile logistics (LML) models and consider LML's diverse roots in city logistics, home delivery and business-to-consumer distribution, and more recent developments within the e-commerce digital supply chain context. The review offers a structured approach to what is currently a disparate and fractured field in logistics. Design/methodology/approach -The systematic literature review examines the interface between e-commerce and LML. Following a protocol-driven methodology, combined with a "snowballing" technique, a total of 47 articles form the basis of the review.Findings -The literature analysis conceptualises the relationship between a broad set of contingency variables and operational characteristics of LML configuration (push-centric, pull-centric, and hybrid system) via a set of structural variables, which are captured in the form of a design framework. The authors propose four future research areas reflecting likely digital supply chain evolutions.Research limitations/implications -To circumvent subjective selection of articles for inclusion, all papers were assessed independently by two researchers and counterchecked with two independent logistics experts. Resulting classifications inform the development of future LML models. Practical implications -The design framework of this study provides practitioners insights on key contingency and structural variables and their interrelationships, as well as viable configuration options within given boundary conditions. The reformulated knowledge allows these prescriptive models to inform practitioners in their design of last-mile distribution. Social implications -Improved LML performance would have positive societal impacts in terms of service and resource efficiency. Originality/value -This paper provides the first comprehensive review on LML models in the modern e-commerce context. It synthesises knowledge of LML models and provides insights on current trends and future research directions.

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Towards enhancing the last-mile delivery: An effective crowd-tasking model with scalable solutions

Cited by 284 publications

References 11 publications

Crowd logistics: an opportunity for more sustainable urban freight transport?

Crowd logistics: an opportunity for more sustainable urban freight transport?

Crowdsourcing for Sustainable Urban Logistics: Exploring the Factors Influencing Crowd Workers’ Participative Behavior

Consumer-driven e-commerce

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