Submitted:
18 December 2024
Posted:
20 December 2024
You are already at the latest version
Abstract
Keywords:
1. Introduction
- What are the current trending themes in the study of electric vehicles in last mile delivery?
- What are the research gaps and proposed future research areas on electric vehicles in last mile delivery?
2. Materials and Methods
3. Results
3.1. Performance analysis
3.1.1. Most productive sources- journals
3.1.2. Most productive authors
3.1.3. Most productive countries
3.2. Science mapping
3.2.1. Co-authorship analysis
3.2.2. Co-citation analysis
3.2.3. Co-word analysis
3.2.4. Thematic mapping
3.2.5. Citation analysis
4. Discussion
5. Conclusions
- Developing economies, particularly in Africa, face unique last mile delivery challenges, yet little research originates from these countries. Future research in developing economies should focus on electric vehicle charging infrastructure and operational feasibility to support last mile delivery (e.g., energy grid capacity and location of charging stations). In addition, future research on charging infrastructure should focus on systemic challenges faced by developing countries. These include external shocks such as power blackouts, inadequate transport policies, lack of government support, and logistical inefficiencies.
- Although sustainability dominates research on electric vehicles in last mile delivery, more focus is on environmental issues, giving little attention to social and economic issues. Patella et al. [14] assert that sustainability includes environmental, economic, and social considerations in evaluating logistics configurations. The future research agenda will need to focus on integrating social issues into research on electric vehicles for last mile delivery. These may include safety, standards/ regulations, ethical and privacy concerns arising from using electric vehicles in last mile delivery. The future research agenda will also need to focus on integrating economic issues into research on electric vehicles in last mile delivery. These include analysing funding models for charging infrastructure, consumers’ willingness to pay for electric vehicle delivery options, potential for job creation, and the role of economic policies in promoting the uptake of electric vehicles in last mile delivery.
- While interest in electric micro-mobility is growing, particularly in congested cities, the focus remains on acceptance/ adoption. Electric micro-mobility (e.g., e-bikes and e-scooters) could support the penetration and acceptability of electric vehicles because they are considered a sustainable mobility option for city logistics [42]. Thus, future research should focus on underexplored areas like micro-mobility charging infrastructure, advancements in micro-mobility battery technologies, regulatory barriers, and safety concerns.
-
While technological advancements dominate research on electric vehicle performance in last mile delivery, little attention is given to emerging technologies (such as artificial intelligence, data analytics, and the internet-of-things). Future research should focus on how the use of electric vehicles can benefit from integrating these emerging technologies to improve last mile delivery. In addition, ethical issues such as perceived safety, data security, and privacy will be on the rise, and future research should explore these issues arising from using emerging technologies.The current review is limited to findings from publications extracted from the Scopus database. Other databases, such as Web of Science and Science Direct exist and should be considered for future research to include any publications that might have been missed. This review also focused on specific keywords for a meaningful analysis. Despite being relevant, future researchers can expand the search criteria to undertake a more comprehensive search as more innovations emerge in the electric vehicle industry. In agreement, Mogire et al. [43] concluded that electric vehicles are expected to continue evolving to support last mile delivery. Overall, this bibliometric review extends knowledge of the current state of research. It has provided a comprehensive understanding of the dominant themes used in current research on electric vehicles in last mile delivery. Thus, sustainability and technological advancements are the main drivers for the increased use of electric vehicles in last mile delivery. Managers should concentrate on investing in sustainable technological innovations such as electric micro-mobility and other emerging technologies to improve last mile delivery efficiency.
Author Contributions
Funding
Institutional Review Board Statement
Informed Consent Statement
Conflicts of Interest
References
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| Description | Results |
|---|---|
| Timespan | 2013:2024 |
| Sources (Journals, Books, etc.) | 205 |
| Documents | 375 |
| Annual Growth Rate % | -5.61 |
| Document Average Age | 2.73 |
| Average citations per doc | 17.3 |
| References | 13927 |
| DOCUMENT CONTENTS | |
| Keywords Plus (ID) | 2149 |
| Author's Keywords (DE) | 1069 |
| AUTHORS | |
| Authors | 1145 |
| Authors of single-authored docs | 18 |
| AUTHORS COLLABORATION | |
| Single-authored docs | 19 |
| Co-Authors per Doc | 3.7 |
| International co-authorships % | 19.73 |
| DOCUMENT TYPES | |
| Article | 224 |
| book chapter | 25 |
| conference paper | 123 |
| Review | 3 |
| Rank | Journal | h-index | g-index | m-index | TC | NP | PY_start |
|---|---|---|---|---|---|---|---|
| 1 | Transportation Research Part D: Transport and Environment | 13 | 17 | 1.625 | 914 | 17 | 2017 |
| 2 | Sustainability | 9 | 17 | 0.900 | 380 | 17 | 2015 |
| 3 | Energies | 8 | 13 | 1.600 | 186 | 13 | 2020 |
| 4 | Transportation Research Part A: Policy and Practice | 8 | 10 | 1.6 | 378 | 10 | 2020 |
| 5 | Journal of Transport Geography | 6 | 8 | 1 | 164 | 8 | 2019 |
| 6 | Transportation Research Procedia | 6 | 8 | 0.667 | 156 | 8 | 2016 |
| 7 | European Journal of Operational Research | 5 | 5 | 1.667 | 83 | 5 | 2022 |
| 8 | Transportation Research Part C: Emerging Technologies | 5 | 5 | 0.556 | 469 | 5 | 2016 |
| 9 | Case Studies on Transport Policy | 4 | 7 | 1.000 | 88 | 7 | 2017 |
| 10 | Lecture Notes in Computer Science (Including Subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) | 4 | 5 | 0.444 | 29 | 6 | 2016 |
| 11 | Sustainable Cities and Society | 4 | 5 | 1.000 | 186 | 5 | 2021 |
| 12 | World Electric Vehicle Journal | 4 | 6 | 0.333 | 59 | 6 | 2013 |
| 13 | 2013 World Electric Vehicle Symposium and Exhibition, EVS 2014 | 3 | 3 | 0.273 | 20 | 3 | 2014 |
| 14 | Applied Sciences | 3 | 3 | 0.750 | 23 | 3 | 2021 |
| 15 | Environmental Science and Technology | 3 | 3 | 0.600 | 68 | 3 | 2020 |
| 16 | IEEE Access | 3 | 4 | 0.600 | 93 | 4 | 2020 |
| 17 | Transportation Research Record | 3 | 7 | 0.333 | 63 | 10 | 2016 |
| 18 | 2020 Forum on Integrated and Sustainable Transportation Systems, Fists 2020 | 2 | 2 | 0.4 | 7 | 2 | 2020 |
| 19 | 2021 7th International Conference on Models and Technologies for Intelligent Transportation Systems, Mt-Its 2021 | 2 | 2 | 0.5 | 19 | 2 | 2021 |
| 20 | Computers and Industrial Engineering | 2 | 3 | 0.333 | 66 | 3 | 2019 |
| Rank | Element | h_index | g_index | m_index | TC | NP | PY_start |
|---|---|---|---|---|---|---|---|
| 1 | Andaloro L | 4 | 5 | 0.364 | 72 | 5 | 2014 |
| 2 | Antonucci V | 4 | 5 | 0.364 | 72 | 5 | 2014 |
| 3 | Napoli G | 4 | 5 | 0.364 | 72 | 5 | 2014 |
| 4 | Sergi F | 4 | 4 | 0.364 | 44 | 4 | 2014 |
| 5 | Bieliński T | 3 | 3 | 0.600 | 222 | 3 | 2020 |
| 6 | Hosseinzadeh A | 3 | 3 | 0.75 | 202 | 3 | 2021 |
| 7 | Keoleian G | 3 | 3 | 0.750 | 36 | 3 | 2021 |
| 8 | Kepaptsoglou K | 3 | 4 | 1.500 | 36 | 4 | 2023 |
| 9 | Kluger R | 3 | 3 | 0.75 | 202 | 3 | 2021 |
| 10 | Lebeau P | 3 | 3 | 0.250 | 113 | 3 | 2013 |
| 11 | Li Z | 3 | 4 | 0.75 | 195 | 4 | 2021 |
| 12 | Macharis C | 3 | 3 | 0.250 | 113 | 3 | 2013 |
| 13 | Micari S | 3 | 3 | 0.300 | 51 | 3 | 2015 |
| 14 | Northrop W | 3 | 3 | 0.500 | 48 | 3 | 2019 |
| 15 | Simic V | 3 | 3 | 0.6 | 122 | 3 | 2020 |
| 16 | Van Mierlo J | 3 | 3 | 0.250 | 113 | 3 | 2013 |
| 17 | Vasan A | 3 | 5 | 0.375 | 25 | 5 | 2017 |
| 18 | Ważna A | 3 | 3 | 0.600 | 222 | 3 | 2020 |
| 19 | Çatay B | 3 | 4 | 0.500 | 65 | 4 | 2019 |
| 20 | Agnello G | 2 | 2 | 0.200 | 23 | 2 | 2015 |
| Rank | Country | Frequency |
|---|---|---|
| 1 | USA | 227 |
| 2 | Germany | 157 |
| 3 | Italy | 135 |
| 4 | India | 123 |
| 5 | China | 103 |
| 6 | Greece | 65 |
| 7 | Spain | 54 |
| 8 | South Korea | 38 |
| 9 | UK | 35 |
| 10 | Netherlands | 33 |
| 11 | Poland | 32 |
| 12 | Turkey | 28 |
| 13 | Sweden | 26 |
| 14 | France | 25 |
| 15 | Australia | 23 |
| 16 | Brazil | 22 |
| 17 | Belgium | 21 |
| 18 | Canada | 20 |
| 19 | Portugal | 19 |
| 20 | Japan | 16 |
| Rank | Word(s) | Occurrences | Rank | Word(s) | Occurrences |
|---|---|---|---|---|---|
| 1 | urban transportation | 54 | 26 | public transportation | 13 |
| 2 | fleet operations | 43 | 27 | traffic congestion | 13 |
| 3 | public transport | 37 | 28 | carbon dioxide | 12 |
| 4 | vehicle routing | 37 | 29 | drones | 12 |
| 5 | energy utilisation | 33 | 30 | electric bikes | 12 |
| 6 | micro-mobility | 33 | 31 | urban areas | 12 |
| 7 | secondary batteries | 31 | 32 | carbon footprint | 11 |
| 8 | sustainable development | 31 | 33 | optimisation | 11 |
| 9 | charging (batteries) | 28 | 34 | autonomous vehicles | 10 |
| 10 | freight transportation | 26 | 35 | costs | 10 |
| 11 | greenhouse gases | 26 | 36 | decision making | 10 |
| 12 | urban transport | 25 | 37 | energy-consumption | 10 |
| 13 | cycle transport | 21 | 38 | learning systems | 10 |
| 14 | travel time | 21 | 39 | optimisations | 10 |
| 15 | energy efficiency | 19 | 40 | routing algorithms | 10 |
| 16 | sustainability | 19 | 41 | sales | 10 |
| 17 | vehicle routing problems | 19 | 42 | transportation planning | 10 |
| 18 | electric scooters | 18 | 43 | urban area | 10 |
| 19 | integer programming | 17 | 44 | automation | 9 |
| 20 | freight transport | 16 | 45 | behavioral research | 9 |
| 21 | travel behavior | 16 | 46 | covid-19 | 9 |
| 22 | city logistics | 15 | 47 | e-scooter | 9 |
| 23 | environmental impact | 15 | 48 | energy management | 9 |
| 24 | gas emissions | 14 | 49 | greenhouse gas | 9 |
| 25 | emission control | 13 | 50 | life cycle | 9 |
| Rank | Authors | Total citations | Title | Journal | Summary |
|---|---|---|---|---|---|
| 1. | Schneider et al. [31]. | 895 | The electric vehicle routing problem with time windows and recharging stations | Transportation Science | The paper considered the electric vehicle routing problem with limited time windows, freight capacities, and charging stations. A recharging scheme (i.e., a hybrid heuristic combining variable neighbourhood search and tabu search) was proposed, showing high performance. |
| 2. | Campbell et al. [32]. | 353 | Factors influencing the choice of shared bicycles and shared electric bikes in Beijing. | Transportation Research Part C: Emerging Technologies | A survey on factors influencing the choice of shared e-bikes in Beijing found that trip distance, high temperatures, and poor air quality negatively impact bike-share demand. Even though e-bike sharing is attractive as a bus replacement, it is unclear if it is attractive as a last mile solution. |
| 3. | Sanders et al. [33]. | 161 | To scoot or not to scoot: Findings from a recent survey about the benefits and barriers of using e-scooters for riders and non-riders | Transportation Research Part A: Policy and Practice | A survey in the USA found that e-scooters are a convenient travel option during hot weather compared to walking. However, traffic safety concerns and the unavailability of working equipment when needed were noted among the barriers. |
| 4. | Figliozzi [34]. | 139 | Lifecycle modeling and assessment of unmanned aerial vehicles (drones) CO2 emissions. | Transportation Research Part D: Transport and Environment | The study presented a framework showing that UAVs can significantly reduce CO2 emissions and energy consumption compared to diesel vehicles. However, they are less efficient than electric vans and tricycles for larger payloads and denser deliveries. |
| 5. | Yang et al. [35]. | 137 | Safety of micro-mobility: analysis of e-scooter crashes by mining news reports | Accident Analysis and Prevention | The study examined media reports to identify safety concerns related to the rise of shared e-scooter systems in the USA. A total of 169 incidents were reported between 2017 to 2019, highlighting the need for safety measures such as helmet use and not riding under influence. |
| 6. | Kirschstein [36]. | 131 | Comparison of energy demands of drone-based and ground-based parcel delivery services | Transportation Research Part D: Transport and Environment | The paper presented an energy consumption model for drones, comparing their energy demand to diesel and electric trucks. Results showed that a stationary drone-based parcel delivery system requires more energy than a truck-based parcel delivery system, particularly in urban areas where customer density is high, and truck tours are comparatively short. |
| 7. | Scheltes & de Almeida Correia [37]. | 126 | Exploring the use of automated vehicles as last mile connection of train trips through an agent-based simulation model: An application to Delft, Netherlands | International Journal of Transportation Science and Technology | The paper explored an Automated Last Mile Transport system using driverless electric vehicles to improve last mile performance of a trip done in a train in Netherlands. Findings showed that the system competes with the walking mode but requires improvements such as allowing pre-booking and driving at higher speeds. |
| 8. | Bieliński & Ważna [38]. | 123 | Electric scooter sharing and bike sharing user behaviour and characteristics. | Sustainability | The study investigated user behaviour/ characteristics of e-scooters and bike sharing in Poland. Results showed that the public e-bike sharing system was more popular than e-scooter sharing, with residents citing concerns about e-scooter safety, high prices, and lack of perceived usefulness. However, both systems suffer from limited availability and fleet size, affecting user satisfaction. |
| 9. | Hosseinzadeh et al. [39]. | 106 | E-scooters and sustainability: Investigating the relationship between the density of e-scooter trips and characteristics of sustainable urban development. | Sustainable cities and society | The study aimed to identify spatial factors associated with scooter trips in the USA. Results showed that commercial and industrial land use, scores of walks and bikes influenced the trip density of e-scooters. |
| 10. | Liang et al. [40]. | 101 | Optimising the service area and trip selection of an electric automated taxi system used for the last mile of train trips. | Transportation Research Part E: Logistics and Transportation Review | The study developed a model for optimising automated taxi systems for last mile connectivity to train stations in Netherlands. Results found that having electric automated taxis constrained the system for small fleets because they lacked time for charging. |
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