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Artykuły w czasopismach na temat „Crowdsourced last mile delivery”

Autor: Grafiati

Data publikacji: 10 grudnia 2024

Data aktualizacji: 31 lipca 2025

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1

Ghaderi, Hadi, Lele Zhang, Pei-Wei Tsai, and Jihoon Woo. "Crowdsourced last-mile delivery with parcel lockers." International Journal of Production Economics 251 (September 2022): 108549. http://dx.doi.org/10.1016/j.ijpe.2022.108549.

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Pan, Yan, Shining Li, Qianwu Chen, et al. "Efficient Schedule of Energy-Constrained UAV Using Crowdsourced Buses in Last-Mile Parcel Delivery." Proceedings of the ACM on Interactive, Mobile, Wearable and Ubiquitous Technologies 5, no. 1 (2021): 1–23. http://dx.doi.org/10.1145/3448079.

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Stimulated by the dramatical service demand in the logistics industry, logistics trucks employed in last-mile parcel delivery bring critical public concerns, such as heavy cost burden, traffic congestion and air pollution. Unmanned Aerial Vehicles (UAVs) are a promising alternative tool in last-mile delivery, which is however limited by insufficient flight range and load capacity. This paper presents an innovative energy-limited logistics UAV schedule approach using crowdsourced buses. Specifically, when one UAV delivers a parcel, it first lands on a crowdsourced social bus to parcel destinati

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Wang, Weichen. "Crowdsourced Logistics: A Review of Research." Frontiers in Business, Economics and Management 14, no. 2 (2024): 51–54. http://dx.doi.org/10.54097/am20rf79.

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Crowdsourced logistics is a logistics mode developed under the backdrop of the "Internet+" era. In this mode, companies delegate the logistics and distribution tasks, originally performed by employed personnel, to the idle workforce in society. This approach helps companies alleviate the last-mile delivery issue, reduce costs, and facilitate the reallocation of social resources, attracting considerable attention from scholars. This paper provides a brief overview of the research in the field of crowdsourced logistics, summarizing four major research directions and related research findings. It

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Dupljanin, D., M. Mirkovic, S. Dumnic, D. Culibrk, S. Milisavljevic, and D. Sarac. "Urban Crowdsourced Last Mile Delivery: Mode of Transport Effects on Fleet Performance." International Journal of Simulation Modelling 18, no. 3 (2019): 441–52. http://dx.doi.org/10.2507/ijsimm18(3)481.

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Elmay, Feruz, Maha Kadadha, Rabeb Mizouni, Shakti Singh, Hadi Otrok, and Azzam Mourad. "Digital twins and dynamic NFTs for blockchain-based crowdsourced last-mile delivery." Information Processing & Management 61, no. 4 (2024): 103756. http://dx.doi.org/10.1016/j.ipm.2024.103756.

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Dunno, Kyle, and Purushottam Chavan. "Measurement and Analysis of Crowdsourced Vehicle Vibration Levels during Last Mile Delivery Segments for Parcel Shipments." Vibration 5, no. 4 (2022): 792–802. http://dx.doi.org/10.3390/vibration5040046.

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Crowdsourced logistics has emerged as a delivery channel for many single-parcel packages. As a result, this logistics network has introduced personal passenger vehicles as a means to transport parcels during last mile delivery segments. To understand this network’s vibration levels and cargo capacity restraints, four vehicle types (a sedan, sports sedan, compact SUV and full-size SUV) commonly used in crowdsourced logistics deliveries were selected for measurement and analysis. This study shows that the vibration levels were significantly higher in the vertical axis and that the overall vibrat

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7

Odeh, Esraa, Shakti Singh, Rabeb Mizouni, and Hadi Otrok. "Crowdsourced auction-based framework for time-critical and budget-constrained last mile delivery." Information Processing & Management 62, no. 1 (2025): 103888. http://dx.doi.org/10.1016/j.ipm.2024.103888.

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Wang, Li, Min Xu, and Hu Qin. "Joint optimization of parcel allocation and crowd routing for crowdsourced last-mile delivery." Transportation Research Part B: Methodological 171 (May 2023): 111–35. http://dx.doi.org/10.1016/j.trb.2023.03.007.

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Saleh, Zead, Ahmad Baubaid, Ahmad Al Hanbali, and Mohammed Alromema. "Comparing Reinforcement Learning Algorithms for Online Couriers Scheduling in Crowdsourced Last-Mile Delivery." Transportation Research Procedia 84 (2025): 121–28. https://doi.org/10.1016/j.trpro.2025.03.054.

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Makafui, Rosemary Agboyi. "Supply Chain Collaboration, Last Mile Delivery Performance and Customer Experience: An Analysis of the Boundary Condition of Supply Chain Integrity." International Journal of Supply Chain and Logistics 9, no. 1 (2025): 21–44. https://doi.org/10.47941/ijscl.2447.

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Purpose: The primary objective of this study is to comprehensively examine the relationship between supply chain collaboration and customer experience in the Ghanaian delivery services market. Methodology: The research employs a survey, quantitative, descriptive, and positivist approach as a research strategy. Convenience and purposive sampling techniques were used to obtain a sample size of 400. The study employed primary data gathered with questionnaires as the data collection tool. A total of 450 questionnaires were sent to senior managers in the manufacturing and service industries in Ghan

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11

Guo, Xuezhen, Yngrid Jaqueline Lujan Jaramillo, Jacqueline Bloemhof-Ruwaard, and G. D. H. Claassen. "On integrating crowdsourced delivery in last-mile logistics: A simulation study to quantify its feasibility." Journal of Cleaner Production 241 (December 2019): 118365. http://dx.doi.org/10.1016/j.jclepro.2019.118365.

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12

Schnieder, Maren. "Visualising Carrier Consolidation and Alternative Delivery Locations: A Digital Model of Last-Mile Delivery in England and Wales." Logistics 8, no. 3 (2024): 77. http://dx.doi.org/10.3390/logistics8030077.

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Background: Various innovations have been proposed to improve the efficiency and sustainability of last-mile delivery in urban and rural environments. Notable examples of innovative delivery solutions are parcel lockers, cargo bicycles, crowdsourced delivery, and so on. Methods: This study contributes to the ongoing research by developing a large-scale digital model of England and Wales to evaluate a new generation of solutions for last-mile delivery challenges being faced in both rural areas and cities. The two innovations chosen for comparison in this study are (i) carrier consolidation and

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13

Karakikes, Ioannis, and Eftihia Nathanail. "Assessing the Impacts of Crowdshipping Using Public Transport: A Case Study in a Middle-Sized Greek City." Future Transportation 2, no. 1 (2022): 55–81. http://dx.doi.org/10.3390/futuretransp2010004.

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Crowdsourced deliveries or crowdshipping is identified in recent literature as an emerging urban freight transport solution, aiming at reducing delivery costs, congestion, and environmental impacts. By leveraging the pervasive use of mobile technology, crowdshipping is an emerging solution of the sharing economy in the transport domain, as parcels are delivered by commuters rather than corporations. The objective of this research is to evaluate the impacts of crowdshipping through alternative scenarios that consider various levels of demand and adoption by public transport users who act as cro

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14

He, Yinying, and Csaba Csiszár. "Model for Crowdsourced Parcel Delivery Embedded into Mobility as a Service Based on Autonomous Electric Vehicles." Energies 14, no. 11 (2021): 3042. http://dx.doi.org/10.3390/en14113042.

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Faced promising development of autonomous vehicles, the concept Mobility as a Service embraces AVs. The autonomous delivery has also been arising and tested for last-mile solution. Accordingly, passenger transportation and delivery service are to be jointly coordinated in the future MaaS. The research niche is summarized as how to embed crowdsourced parcel delivery into MaaS based on AVs. Electricity powered vehicles are to be applied considering energy consumption and air emission. Research questions are identified as what this novel service is and how it works, especially focusing on task co

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15

Song, Xingshuo, Shiyong Li, Hengli Liu, and Guoping Zhao. "Pricing Models for Crowdsourced Logistics Platforms: A Two-Sided Market Perspective." Systems 12, no. 4 (2024): 119. http://dx.doi.org/10.3390/systems12040119.

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The application of the crowdsourcing model to instant delivery has achieved remarkable success. Various crowdsourced logistics platforms have successfully addressed the challenges of last-mile delivery in urban areas by eliciting the active involvement of the public. This study takes a dual-market perspective and, considering the high requirements of instant delivery for timeliness, introduces two crucial factors: platform subsidies and the degree of public involvement. We establish a pricing model based on the Hotelling model and conduct in-depth research on the platform’s maximum profit and

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16

Wang, Wenjie, and Yulu Yin. "The Antecedents of Courier Continuance Participation Intention: A Dyadic Analysis of Courier–Customer Interactions in Crowdsourcing Delivery." Systems 12, no. 11 (2024): 496. http://dx.doi.org/10.3390/systems12110496.

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Crowdsourcing delivery has emerged as an innovative solution for last-mile delivery in the sharing economy era. However, enhancing courier continuance participation intention is an increasing challenge for crowdsourcing delivery platforms due to the independence of crowdsourced couriers. Given that couriers and customers are subject to interdependencies and may influence each other in delivery service systems, this paper utilizes a dyadic analysis to examine how courier–customer interactions may influence the continuance participation intention of couriers. Specifically, we investigate the inf

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17

Nguyen, Cam Tu, Lanhui Cai, Mingjie Fang, Yanfeng Liu, and Xueqin Wang. "Collaborative Neighbourhood Logistics in e-Commerce Delivery: A Cluster Analysis of Receivers and Deliverers." Journal of Theoretical and Applied Electronic Commerce Research 20, no. 2 (2025): 147. https://doi.org/10.3390/jtaer20020147.

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The rapid growth of e-commerce and surges in shipment volumes have increased the pressure on transport systems, requiring innovations in collaborative logistics where consumers participate in dual roles as receivers and deliverers. However, existing research often addresses these roles in isolation, overlooking the flexibility with which users switch between them. Moreover, the literature has focused predominantly on monetary value in paid crowdsourced or social value in free social delivery, without fully exploring how users perceive value across both models. Addressing these gaps, this study

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18

Fan, Xiaoyi, Jiangchuan Liu, Zhi Wang, Yong Jiang, and Xue Steve Liu. "CrowdNavi: Demystifying Last Mile Navigation With Crowdsourced Driving Information." IEEE Transactions on Industrial Informatics 13, no. 2 (2017): 771–81. http://dx.doi.org/10.1109/tii.2016.2616107.

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Blagojević, Mladenka, Dragana Šarac, and Katarina Mostarac. "Selecting the Flexible Last-Mile Delivery Models Using Multicriteria Decision-Making." Promet - Traffic&Transportation 35, no. 5 (2023): 635–54. http://dx.doi.org/10.7307/ptt.v35i5.292.

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Postal service providers can reorganize the last-mile delivery process within the scope of universal service and apply some of the flexible models for the organization of the delivery process. In this paper, the question of the selection of Flexible Last-Mile Delivery Models (FLMDM) is treated using multicriteria decision-making. We have identified four different sustainable models of last-mile delivery with an emphasis on the number of delivery workers. One postal service provider from Europe was selected, where proposed FLMDM are tested. The proposed last-mile delivery models are ranked usin

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20

Risher, Jeffrey J., Dana E. Harrison, and Stephen A. LeMay. "Last mile non-delivery: consumer investment in last mile infrastructure." Journal of Marketing Theory and Practice 28, no. 4 (2020): 484–96. http://dx.doi.org/10.1080/10696679.2020.1787846.

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Funk, Kristin. "Last Mile." Advances in Social Work 21, no. 1 (2021): 45–58. http://dx.doi.org/10.18060/24844.

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This critical review of literature evaluates the impact of COVID-19 on health and mental health care delivery in rural Indiana, specifically the move to increased telehealth services. Telehealth has been a mostly positive experience for patients and providers. However, many Indiana residents are without the option of telehealth due to underdeveloped infrastructure that is necessary to support broadband access. This disparity is evidence of a larger social and health justice issue and illuminates a call to action for social workers on all levels to collaborate with community members, government

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22

Zeng, Yuxiang, Yongxin Tong, and Lei Chen. "Last-mile delivery made practical." Proceedings of the VLDB Endowment 13, no. 3 (2019): 320–33. http://dx.doi.org/10.14778/3368289.3368297.

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23

ZAINUDDIN, NIZAMUDIN, NORITA DERAMAN, DANUSHA RAMAN, and LOGASHA GANESAN. "EFFICIENCY OF LAST MILE DELIVERY OF LOGISTICS SERVICE PROVIDERS (LSPS) IN MALAYSIA: POST-COVID." Quantum Journal of Social Sciences and Humanities 3, no. 6 (2022): 88–104. http://dx.doi.org/10.55197/qjssh.v3i6.197.

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Several studies have researched on numerous areas about last mile delivery over the past years however, studies focusing on factors influencing efficiency of last mile delivery of logistics service providers (LSPs) is still fragmented and yet to be examined vigorously particularly during post-covid era. To fill the unanswered gaps of last mile delivery efficiency, this research aims to investigate the factors that influence efficiency of last mile delivery of logistics service providers (LSPs) in Malaysia in post-covid era. As a result, this research assists logistics service providers (LSPs)

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24

Li, Feng, Zhi-Ping Fan, Bing-Bing Cao, and Hai-Mei Lv. "The Logistics Service Mode Selection for Last Mile Delivery Considering Delivery Service Cost and Capability." Sustainability 12, no. 19 (2020): 8080. http://dx.doi.org/10.3390/su12198080.

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The last mile delivery service is an important part in the logistics service process of express enterprises. How to select a suitable logistics service mode for last mile delivery to maximize the delivery service capacity and minimize delivery service cost is a noteworthy problem, but studies on this problem are still lacking. In this paper, we first analyze three potential logistics service modes for last mile delivery, i.e., self-run mode, outsourcing mode, and alliance mode, and then propose a selection framework of logistics service mode for last mile delivery based on a two-dimensional ma

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. S, VIGNESH, and GEETHA R. "An Analysis on Enhancing Last Mile Delivery Efficiency in the Field of E-Commerce Logistics at Gati Allcargo In Madnayakanahalli Bangalore." INTERANTIONAL JOURNAL OF SCIENTIFIC RESEARCH IN ENGINEERING AND MANAGEMENT 08, no. 12 (2024): 1–9. https://doi.org/10.55041/ijsrem40223.

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The rapid growth of e-commerce has led to an increased demand for efficient logistics systems, with particular emphasis on enhancing last-mile delivery (LMD) efficiency. Last-mile delivery is the final leg of the supply chain, where goods are delivered from a distribution center to the end consumer. This phase is crucial in ensuring timely deliveries, cost-effectiveness, and overall customer satisfaction. Gati All Cargo, a leading logistics player in India, operates in a highly competitive market, especially in urban areas like Madnayakanahalli, Bangalore. This study investigates the challenge

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Pratik, Bansal. "Last-Mile Delivery Solutions: Addressing Challenges in Urban Logistics." Journal of Scientific and Engineering Research 8, no. 3 (2021): 255–57. https://doi.org/10.5281/zenodo.12787640.

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This paper investigates last-mile delivery solutions, focusing on addressing challenges in urban logistics. The last mile of delivery, from distribution centers to the final destination, represents a critical and often inefficient stage in the supply chain, particularly in urban areas. By examining current trends, emerging technologies, and innovative approaches, this study aims to provide insights into the key challenges facing last-mile delivery and strategies for improving efficiency, sustainability, and customer satisfaction. Through a multidisciplinary lens, this paper explores the role o

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Sarkar, Manas. "Is Quick Delivery Related to Quick-Commerce Environmentally Sustainable?" European Journal of Development Studies 4, no. 6 (2024): 44–53. https://doi.org/10.24018/ejdevelop.2024.4.6.404.

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The rapid expansion of quick-commerce (q-commerce) businesses, which promise quick last-mile delivery, requires an urgent assessment of their environmental sustainability. This study investigates the sustainability of the q-commerce business model, which relies heavily on electric vehicles (EVs) and dark stores for last-mile delivery services, and assesses the environmental impact of express-delivery operations, particularly in terms of greenhouse gas (GHG) emissions. It examines the ability of EVs and dark stores under Q-Commerce to reduce the carbon footprint compared to traditional online l

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Kim, Yun-Jin, and Yong-Jeong Kim. "An Exploratory Study on the Supply Chain Structure of the Last Mile Delivery Industry Using Inter-Industry Analysis." Korean Logistics Research Association 32, no. 5 (2022): 65–75. http://dx.doi.org/10.17825/klr.2022.32.5.65.

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The purpose of the study is to identify the degree of production induction effects and industrial synergy effects of the last mile delivery service industry. It also connects the industrial linkage structure of the last mile delivery industry with the concept of the supply chain. Ultimately, it identifies the structure of the service supply chain centered on the last mile delivery. It approaches research problems from a service science perspective. The philosophical basis of the study is the concept of service dominant logic. In addition, the research methodology is an inter-industry analysis

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Sandeep, Ramanamuni. "Last-Mile Logistics Innovations for Consumer Goods." International Journal of Innovative Research in Engineering & Multidisciplinary Physical Sciences 9, no. 1 (2021): 1–6. https://doi.org/10.5281/zenodo.15029801.

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Last-mile delivery is the final link in the supply chain. It serves as a vital connection between upstream supply chain operations and the end customers. The outbreak of COVID-19 in 2020 substantially affected the supply chain management of different companies. The pandemic has hit all the fronts of supply and demand, as well as the entire infrastructure of transportation and distribution. Consumers predominantly made their purchases through collection points and crowd logistics during the pandemic, making product delivery a hassle in the supply chain. During the pandemic, last-mile delivery w

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D'agostini, Enrico. "Evaluating the Selection Factors for Vietnamese Last-Mile Delivery Service Providers using Best Worst Method." International Journal of Supply Chain Management 12, no. 2 (2023): 23–32. http://dx.doi.org/10.59160/ijscm.v12i2.6166.

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Recent trends in supply chain show that last mile delivery is one of the fastest growing segments in logistics yet, it remains one the most challenging ones in terms of reliability, cost, and consumers’ requirements. This study aims to identify the factors directly affecting the competitiveness of logistics companies providing last-mile delivery service under a consumers’ perspective. The study employs a best-worst method (BWM) to assess which alternative and which criteria are the preferred ones when selecting a last-mile service provider in Vietnam. The selected criteria include shipping cos

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Cho, Yuh‐Jen, Lin Xue, Shu-Rong Huang, and Zhe-Peng Yang. "Construction and Application of Customer Satisfaction Model with theService Quality of Last-Mile Delivery in Rural Areas." WSEAS TRANSACTIONS ON BUSINESS AND ECONOMICS 18 (April 15, 2021): 703–11. http://dx.doi.org/10.37394/23207.2021.18.69.

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The backward last-mile delivery infrastructures, the greater difficulties in last-mile delivery due to the scattered residences of rural customers and the lack of logistics professionals in rural areas have emerged as the important factors hindering the improvement of the service quality of last-mile delivery in rural areas. This study combines the classic satisfaction index model and transformation of the SERVQUAL standard scale to draw up the connotations and observation variables of customer expectations, quality perception, perceived value, customer satisfaction, customer complaints and cu

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Turská, Stanislava, Roman Chinoracký, Jana Kurotová, Simona Jaculjaková, and Iwona Rybick. "Delivery Models in Last Mile Logistics." Transport and Communications 6, no. 2 (2018): 20–24. http://dx.doi.org/10.26552/tac.c.2018.2.5.

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In logistics the key problem of last mile is how to deliver goods from distribution hub to end users in cities and built-up areas. The paper deals with an issue of last mile delivery. The main objective of the paper is to analyse possible solutions how to deliver consignments to end customers. To achieve the aim, we realized secondary research in which we identified seven basic delivery models. Some of the delivery models are traditional, but there are delivery models which are a matter of the near future. One of the most appropriate solutions how to enhance effectiveness in the process of las

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Niu, Haohan, Jiyuan Jia, and Yunqi He. "Research on the Optimization Strategy of Last-Mile Distribution under the E-Commerce Logistics Model." Frontiers in Business, Economics and Management 15, no. 2 (2024): 65–67. http://dx.doi.org/10.54097/4h5qvz77.

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With the rapid development of e-commerce, last-mile delivery, as a key link in e-commerce logistics, is essential to provide efficient and punctual delivery services. This study aims to explore the optimization strategy of last-mile delivery under the e-commerce logistics model to improve delivery efficiency, reduce costs, and provide a better user experience. This study adopts the method of literature review and case analysis, combined with the actual e-commerce logistics operation, to conduct an in-depth study on the problem of last-mile delivery.

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Bányai, Tamás, Béla Illés, and Ágota Bányai. "Smart Scheduling: An Integrated First Mile and Last Mile Supply Approach." Complexity 2018 (July 26, 2018): 1–15. http://dx.doi.org/10.1155/2018/5180156.

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Supply chain management applies more and more Industry 4.0 innovations to increase their availability, elasticity, sustainability, and efficiency. In interconnected logistics networks, operations are integrated from suppliers through 3rd party logistics providers to customers. There are different delivery models depending on the time and cost. In the last few years, a wide range of customers is willing to pay an extra fee for the same delivery or instant delivery. This fact led to the increased importance of the optimized design and control of first mile/last mile (FMLM) delivery solutions. Cy

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Myslimi, Olta, Paul Muinde Maweu, and Premilla Padayachee. "ROLE OF TECHNOLOGY AND INNOVATION ON ENHANCING THE LAST-MILE DELIVERY AND ENVIRONMENT CONSERVATION SUSTAINABILITY POST COVID-19." International Journal of Business Management and Economic Review 07, no. 05 (2024): 161–69. http://dx.doi.org/10.35409/ijbmer.2024.3616.

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The purpose of the study was to assess the role technology on enhancing the last-mile delivery and environment conservation sustainability. Specifically, it focused on providing answers to the following questions: Is technology enhancing last mile deliveries post Covid-19 pandemic? Are businesses using technology solutions to mitigate last mile delivery challenges? Is use of technology in last mile delivery helping in environment conservation sustainability? Does technology enhance effective B2B and B2C deliveries? The study adopted desktop research design and used secondary data based on anal

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Mogire, Eric, Peter Kilbourn, and Rose Luke. "THE LAST MILE DELIVERY PROBLEM: A KENYAN RETAIL PERSPECTIVE." Acta logistica 09, no. 04 (2022): 387–95. http://dx.doi.org/10.22306/al.v9i4.329.

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The article aims to determine the last mile delivery challenges faced by online retailers in Kenya. This is based on the online retailing sub-sector’s contribution to the country’s economy. Despite its significant contribution to the country’s economy, little is known about the challenges facing online retailers during last mile delivery. In other countries such as China and South Africa, that are doing better in online retailing, extensive research has been done to determine unique challenges facing their online retailers during last mile delivery. It is important for the online retailers and

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Kitessa, Busha Temesgen. "Characterising Sustainability of Urban Last-Mile Delivery Logistics: An Ethiopian Case." Journal of Supply Chain Management Systems 13, no. 3 (2024): 32–47. https://doi.org/10.21863/jscms/2024.13.3.003.

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The surge in e-commerce is fuelled by globalisation, population growth, and urbanisation. E-commerce significantly depends on last-mile delivery. Its notable aspects are enhanced efficiency and heightened challenges related to cost, environmental impact, and urban congestion. Due to the fragmented nature of previous research in the area of urban last-mile delivery, this study aims to comprehensively explore the sustainability of last-mile delivery logistics, recognising its multidisciplinary nature. A descriptive and explanatory research design with a mixed research approach was used. A survey

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Lim, Stanley Frederick W. T., and Matthias Winkenbach. "Configuring the Last-Mile in Business-to-Consumer E-Retailing." California Management Review 61, no. 2 (2018): 132–54. http://dx.doi.org/10.1177/0008125618805094.

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Fulfillment strategies that offer consumers a consistent shopping experience across different channels and devices through a variety of last-mile delivery options have emerged as a powerful engine for growth in the retail sector. To thrive in this new environment, retailers need to (re)configure their last-mile supply networks to achieve better alignment between delivery responsiveness, product variety, and convenience. This article reviews multiple case studies of leading retailers across geographical regions, maps these retailers’ network configurations, and conducts consumer surveys to exam

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Sina Mohri, Seyed, Hadi Ghaderi, Tom Van Woensel, Mehrdad Mohammadi, Neema Nassir, and Russell G. Thompson. "Contextualizing alternative delivery points in last mile delivery." Transportation Research Part E: Logistics and Transportation Review 192 (December 2024): 103787. http://dx.doi.org/10.1016/j.tre.2024.103787.

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Patro, Ravindra Kumar, Subhash Chandra, and Janaki Prasad Patro. "Drone Integration in Last-Mile Delivery Operations." International Journal of Supply Chain and Logistics 8, no. 2 (2024): 109–22. http://dx.doi.org/10.47941/ijscl.2286.

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Purpose: This research examines the integration of drone technology into last-mile delivery operations, focusing on its impact on supply chain efficiency, cost reduction, and sustainability. The study explores operational challenges, such as air traffic management, payload limitations, regulatory compliance, and public perception, providing a comprehensive understanding of how drones can reshape last-mile logistics. Methodology: The study employs a multi-faceted approach, combining historical analysis, in-depth case studies, and scenario planning to assess the impact of drone technology on las

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Gdowska, Katarzyna, Ana Viana, and João Pedro Pedroso. "Stochastic last-mile delivery with crowdshipping." Transportation Research Procedia 30 (2018): 90–100. http://dx.doi.org/10.1016/j.trpro.2018.09.011.

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Linh, Cao Cam. "Logistics company governance in the improvement of last-mile delivery efficiency." Journal of Governance and Regulation 14, no. 1 (2025): 75–89. https://doi.org/10.22495/jgrv14i1art7.

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Last-mile delivery is the final step in the process of providing logistics transportation services. Viettel Post’s last-mile delivery rate is lower than that of its direct competitors. With the goal of improving efficiency in last-mile delivery activities of logistics companies in general and Viettel Post company in particular. In this study, the author uses the logistics quality (LSQ) framework (Hartline & Ferrell, 1996) and the motivation-opportunity-ability (MOA) model framework (Maclnnis et al., 1991) as the foundation theory to clarify the influence of delivery staff’s own factors in

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Borghetti, Fabio, Claudia Caballini, Angela Carboni, Gaia Grossato, Roberto Maja, and Benedetto Barabino. "The Use of Drones for Last-Mile Delivery: A Numerical Case Study in Milan, Italy." Sustainability 14, no. 3 (2022): 1766. http://dx.doi.org/10.3390/su14031766.

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The increasing use of e-commerce introduces major challenges for last-mile delivery, which is critical to ensure smooth functioning of supply chains. Besides the speed and cost of delivery, which are the most important factors for last-mile logistics, environmental and social sustainability factors are taking on an increasingly important role, especially in urban areas. In this perspective, last-mile delivery by drones could be a good choice both in terms of transport speed and sustainability. Being electrically powered, drones can reduce environmental impact; moreover, they enable the reducti

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Oyeyemi, Babatunde Bamidele. "From Warehouse to Wheels: Rethinking Last-Mile Delivery Strategies in the Age of E-commerce." International Journal of Multidisciplinary Research and Growth Evaluation 3, no. 1 (2022): 1106–12. https://doi.org/10.54660/.ijmrge.2022.3.1.1106-1112.

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This study investigates the evolution and reconfiguration of last-mile delivery strategies in the U.S. e-commerce sector, focusing on both technological and operational innovations. The study was anchored on four research objectives with Theory of Constraint (TOC) providing the theoretical anchor. Quantitative Survey Research Method was used with questionnaire as the instrument of data collection. Using supply chain managers, warehouse coordinators, and last-mile delivery operators working in logistics firms engaged in e-commerce fulfilment as the population of the study, a total of 250 respon

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Mohamed, Almodather, and Moataz Mohamed. "Unmanned Aerial Vehicles in Last-Mile Parcel Delivery: A State-of-the-Art Review." Drones 9, no. 6 (2025): 413. https://doi.org/10.3390/drones9060413.

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Unmanned Aerial Vehicles (UAVs) are being increasingly implemented in parcel delivery applications. The scientific progress in this field is progressing exponentially. However, there is a notable gap in synthesizing recent research progress in UAV applications for last-mile delivery. This review study addresses this gap and conducts an in-depth review of UAV research for last-mile delivery across seven domains: environmental performance, economic impacts, social impacts, policy and regulations, routing and scheduling, charging infrastructure, and energy consumption. The review indicates that U

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Choi, Jaesik, and Kate Hyun. "The Impact of Last-Mile Delivery Fleet Electrification on Emissions, Dispersion, and Health: An Environmental Justice Analysis Based on Dallas County, Texas." Sustainability 17, no. 8 (2025): 3718. https://doi.org/10.3390/su17083718.

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The increasing popularity of online shopping leads to more last-mile deliveries and higher emissions from last-mile delivery trucks. Despite small amounts being emitted from the tailpipe of delivery trucks, there can be a significant amount of fine particulate matter that degrades the health quality of residents from aggregated delivery trucks at the community level. Addressing the environmental impact of last-mile deliveries is needed to achieve the sustainability goals because air pollution mitigation can reduce mortalities. This study employs a comprehensive methodology to assess the health

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Bányai, Tamás. "Impact of the Integration of First-Mile and Last-Mile Drone-Based Operations from Trucks on Energy Efficiency and the Environment." Drones 6, no. 9 (2022): 249. http://dx.doi.org/10.3390/drones6090249.

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Supply chain solutions are based on first-mile and last-mile deliveries; their efficiency significantly influences the total cost of operation. Drone technologies make it possible to improve first-mile and last-mile operations, but the design and optimization of these solutions offers new challenges. Within the frame of this article, the author focuses on the impact of integrated first-mile/last-mile drone-based delivery services from trucks, analyzing the impact of solutions on energy efficiency, the environmental impact and sustainability. The author describes a novel model of drone-based in

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Nik Hussin, Nik Syuhailah, Zuraimi Abdul Aziz, Nurnaddia Nordin, Nurhaiza Nordin, and Dzulkifli Mukhtar. "UNRAVELLING CHALLENGES IN ENSURING PARCEL SAFETY IN LAST MILE DELIVERY FOR THE POSTAL AND COURIER INDUSTRY." Advanced International Journal of Business, Entrepreneurship and SMEs 6, no. 20 (2024): 131–45. http://dx.doi.org/10.35631/aijbes.620012.

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There are several difficulties in the logistics chain's last-mile delivery phase, especially when it comes to guaranteeing package safety. The present study aims to provide a thorough analysis of the complex problems that affect package security in the final leg of delivery to different kinds of customers, recipients, and other users. Using a quantitative methodologies research methodology, the study seeks to identify the challenges associated with meeting the distinct needs of various demographic groups. The objective of this study is to investigate challenges in ensuring parcel safety during

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Jiang, Xiaohong, Huiying Wang, Xiucheng Guo, and Xiaolin Gong. "Using the FAHP, ISM, and MICMAC Approaches to Study the Sustainability Influencing Factors of the Last Mile Delivery of Rural E-Commerce Logistics." Sustainability 11, no. 14 (2019): 3937. http://dx.doi.org/10.3390/su11143937.

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The development of rural e-commerce has rapidly driven the development of rural logistics in China. Improving the service quality of the last mile delivery is an important measure to promote the sustainable development of rural e-commerce logistics. However, such work is challenging because the current rural last mile delivery is inefficient and unsustainable and is influenced by a set of interacting factors. It is necessary to explore the relationships among the sustainability influencing factors of rural last mile delivery. A total of 15 sustainability influencing factors are selected. The i

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Patil, Ashish. "Last- mile challenges and recommended solution." International Journal of Multidisciplinary Research and Growth Evaluation 6, no. 2 (2025): 1814–18. https://doi.org/10.54660/.ijmrge.2025.6.2.1814-1818.

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The last-mile delivery segment is the most expensive component of the supply chain, accounting for approximately 53% of total logistics costs. This is because of inefficiencies such as fragmented routing, lack of real-time tracking, delivery failures, and increasing consumer expectations for same-day or next-day deliveries which are implemented by ecommerce giants like Amazon. This paper presents an innovative approach leveraging AI for route optimization, micro-fulfillment centers, and crowd-sourced delivery models leading to reduction in last-mile costs while at the same time maintaining ser

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