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Electromobility of the Courier Market

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07 October 2023

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08 October 2023

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Abstract
The article was devoted to topics related to the courier market, electromobility and renewable energy sources. This is the direction in which the car market is currently heading. The current situation of transport in Poland and the electrification trends of the courier market in Poland and beyond were presented and discussed. The article presents the conducted research and analyzes it for a selected company, which at the same time constituted the achievement of the goal and the solution of the research problem. Much attention was focused on conducting AHP analysis and simulating route changes for selected regions. The study contains an introduction and a summary discussing the most important conclusions.
Keywords: 
Subject: Engineering  -   Bioengineering

1. Introduction

Currently, the functioning of an increasing number of large courier companies is based on the use of modern technologies. Modern technologies are aimed at reducing the emission of undesirable substances into the environment. The simultaneous development of renewable energy sources causes many companies to systematically increase their participation in caring for the natural environment. The most popular and accessible method is to replace conventionally powered cars with electric cars, the offer of which is becoming more and more extensive every year. Until recently, these vehicles raised many doubts and few companies decided to use them. Nowadays, when there has been a significant development of renewable energy sources and the availability and diversity of electric cars is at a high level, many companies use such solutions. It is known that the use of electric cars and planning routes for them will be different than for conventionally powered cars. For many courier companies, the introduction of electric cars is part of their strategy, some of them run programs aimed at reducing their carbon footprint. These companies promote themselves as environmentally conscious and want to become role models. Currently, there is a large-scale effort to replace conventionally powered cars with electric cars, and this trend applies not only to the courier market, but to the entire car market in Poland and around the world.
Therefore, the aim of the article was to verify whether electric vehicles can be used in the courier industry. The main research problem is the question: what changes need to be made to enable the use of electric vehicles for the courier industry? The article uses the method of literature and legal analysis, computer simulation, AHP analysis and inference.
This article focuses on describing the current transport situation in Poland and discusses the types of renewable energy sources. Then, the focus was on discussing the application of electromobility for the courier market from a theoretical perspective, and finally, a practical example was discussed, simulations were carried out and conclusions were drawn regarding the possibility of replacing conventional cars with electric cars in the tested conditions.

2. Literature review in the field of transport and courier market

In Poland, transport plays a very important role, not only for the individual movement of people, but above all for the movement of goods. The Covid-19 pandemic was also important for transport, contributing to the development of online shopping and, therefore, a significant development of road transport. Over recent years, the transport services market has been intensively developed. In 2019, revenues from all road units increased by 17.3% compared to the previous year. The value of the proceeds may depend on the total weight of the vehicle. Per 100 km traveled, a truck with a GVW of 3.5 to 7.5 t generates revenue for the state budget in the amount of PLN 147, and for cars with a GVM of over 40 t - PLN 278. Poland's geographical location is important, as it plays a very important role in the transport and logistics sector, and Polish carriers provide their services throughout the European Union. As it turns out according to the report of the General Directorate for National Roads and Motorways (GDDKiA) - the public road network covers almost 420 thousand kilometers, of which 19.4 thousand kilometers are national. GDDKiA manages a network with a total length of 17.8 thousand km, including 4.2 thousand km of expressways, 1.3 thousand km of motorways and 2.9 thousand km of expressways. The remaining road sections are managed by concessionaires, cities with municipal poviat rights within their administrative borders, as well as border crossing authorities. National road construction program for 2014-2023 (with a perspective until 2025) and the program for the construction of 100 bypasses for 2020-2030 includes the construction of many kilometers of roads, highways, and bypasses, which will ultimately have a positive impact on the development of transport in Poland. The indicated programs are intended to significantly improve the movement of vehicles on Polish roads, but it should be considered that a large part of the roads still require significant improvement. In Poland, various means of transport are used to transport people and goods, but the largest share is road transport, as shown by the data in Table 1 [1],[2].
Road transport includes, among others, transport; private (passenger cars), city, truck, motorcycle, courier. The courier services market has developed intensively due to the increasingly frequent online shopping. A big factor influencing this situation was the Covid-19 pandemic, a time when most purchases were made via stores and online platforms. Referring to the definition of a courier service, it is understood as the process of collecting a parcel from the customer and delivering it to the customer at the indicated address within the specified time. The KEP (courier-express-parcel) industry includes courier, express and postal shipments.
Due to the growing demand for courier services over recent years, there are several fundamental problems. These include traffic congestion during rush hours, a phenomenon that is considered an everyday occurrence in metropolises. This situation results in delivery delays. Another important aspect is deteriorating air condition due to excessive exhaust emissions and transport dependence on crude oil. To regulate the existing situation, reference should be made to transport policy, because it is one of the forms of regulation of transport systems. Its main assumption is to strive for changes and improvement of broadly understood transport. The whole thing is based on decisions of the authorities of a given country or European Union bodies. However, the main document regulating transport policy is the Treaty on the functioning of the European Union (Articles 90-100), the main goal of which is to eliminate existing transport problems. One of the planned solutions to the problems that have arisen is the development of appropriate documents, the content of which will require actions to be taken to implement green transport. At European level, work has been going on for years to improve the negative effects of transport by encouraging the use of alternative fuels. At the national level, subsidies are being introduced for users of vehicles with unconventional drives [4]. The main EU documents include the Transport White Paper, where the plan was established in 2011, its aim was, among other things, to use alternative fuels in transport [5]. Another important document in which a lot of attention is devoted to the use of alternative fuels is Directive 2014/94/EU of the European Parliament and of the Council, where conventional fuels are proposed to be replaced by: electricity, biogas, hydrogen, LPG, LNG, CNG. In Poland, a response to the European Parliament Directive and Council 2014/94/EU is the Act of 2018 on electromobility and alternative fuels. Its main goal is to facilitate and accelerate technological development in Poland [6]. Since the Act came into force, there have been numerous changes and updates to its content, the last one taking place on December 2, 2021.
Renewable energy sources
In accordance with the definition contained in Art. 2 of the Act of February 20, 2015, a renewable energy source is: non-fossil energy sources including wind energy, solar radiation energy, aerothermal energy, geothermal energy, hydrothermal energy, hydroenergy, energy of waves, sea currents and tides, energy obtained from biomass, biogas, agricultural biogas and bioliquids [7]. In general terms, renewable sources are those whose acquisition does not cause any shortages or deficits in the environment. Conventional energy sources produce by-products which include radioactive waste (nuclear energy), CO2, NO2, SO2 (thermal coal, crude oil) and dust (thermal coal) [8]. A great advantage of renewable energy sources (RES) is their constant renewal by nature, which solves the problem of resource availability. Renewable energy sources can be divided according to the source they come from (Figure 1)
The main hydropower resources are based on energy from rivers (flow and level differences) and ocean energy (tides, waves, currents). In hydroelectric power plants, the energy obtained from water is converted into electricity. The types of hydropower include [9]:
  • tank,
  • flow-through,
  • pumped or pumped storage,
  • float,
  • electronic type OTEC (ocean thermal energy converters).
Hydroelectric power plants have their drawbacks, which include disruption of the hydrological structure or silting up of reservoirs, but one should not forget about their significant advantages, such as the production of clean, ecological energy, flood prevention and low operating costs [10].
Wind energy is much less diverse than hydropower, but just as effective. Currently, one type of generating this energy is used and this is the use of wind turbines, i.e., "windmills". Wind power plants are divided into:
  • by power (micro, small, medium, large, and very large),
  • due to location (sea and land),
  • due to the rotor rotation setting (vertical and horizontal).
A characteristic feature of this type of energy is the selection of locations, preferably places with a lot of windy days (e.g., the coast). This sector is witnessing rapid and dynamic development due to the increasingly new technologies being used. A significant disadvantage of wind turbines is the noise they generate, which clearly prevents them from being built near inhabited areas.
Another type of energy is from biomass. As defined herein in the Directive of the European Parliament and of the Council of 23 April 2009, biomass is defined as; the biodegradable part of products, waste, or residues of biological origin from agriculture (including plant and animal substances), forestry and related industries, including fishing and aquaculture, as well as the biodegradable part of industrial and urban waste [11]. It can be noted that the definition of biomass is very broad, so there are many ways to process it. The most frequently used methods include burning e.g., wood waste or straw. Biomass can also be used to obtain liquid fuels resulting from the fermentation of cereals, sugar beets, rapeseed, and many others. In such fermentation, e.g., E85 gasoline, biodiesel, oxydiesel are obtained. One of the next methods of obtaining energy is the aerobic and anaerobic fermentation of biomass, which produces methanol, ethanol, and biogas - fuels used in combustion engines or boiler rooms [10].
Geothermal energy, according to the Polish Geological Institute, is defined as energy stored in the form of heat under the earth's surface [2]. This concept is very broad and includes the energy contained in geothermal waters. The use of this energy is very wide, and the most important aspect is the size of the deposits, they are huge and constantly powered by heat coming from the Earth's interior. For everyday use, it can be used in central heating systems or for heating buildings, supplying swimming pools with hot water, snow removal or fish farming, as is the case in Iceland [12].
The last energy discussed will be solar, considered the most important source of renewable energy. Energy is obtained from solar radiation, so an important factor determining the energy potential of a given area is its geographical location. It is estimated that in Poland 80% of total solar radiation occurs for 6 months, i.e., from April to September [9]. After obtaining solar energy, it is processed using collectors (used to heat water for central heating and domestic hot water) and photovoltaic cells (most often installed by households to power devices with electricity or in the form of photovoltaic farms) [13] 14].
Renewable energy sources are becoming more and more important not only
in small processes, but also on the scale of entire systems. Many opponents of renewable energy consider it a fad or a prevailing trend that has no future in wider application. It is difficult to express a clear opinion about the future of renewable energy sources at this point because the dynamics of life are too great. What is visible and known is that they are currently gaining in importance and are being used more and more widely. Poland is trying to follow the global trend by increasing the use of renewable energy in the energy economy.
Table 2 presents data showing the change in the installed capacity of individual renewable energy carriers in Poland over 15 years.
Analyzing the data in table 2, a significant increase in renewable energy sources is noted in Poland. This means that not only are they gaining in popularity, but above all there is a market need for this type of energy. In 2020, compared to 2005, there is an 8-fold increase in the total power of registered installations using wind, biomass, and solar energy. The development of renewable energy sources should be synonymous with an increasing share of "green" energy in Poland (Figure 2).
Analyzing the data in figure 2, it is noted that over the last 16 years, the share of renewable energy in Poland has been increasing, and this trend is still growing.
Logistics also follows the development of renewable energy sources, introducing innovative solutions into its activities. Transport deserves special attention here. According to data published by the Central Statistical Office, over the years 2009-2020 there has been a growing interest in the use of energy from renewable sources in transport, with slight fluctuations over the years (Figure 3).
The main advantage of using renewable energy for transport is reducing the demand for crude oil. Biofuels effectively replace diesel and gasoline, which contributes to the increase in the number of cars powered by alternative fuels. To further encourage the replacement of conventionally powered vehicles with unconventional ones, the European Union has provided subsidies for the purchase of vehicles using renewable energy sources. Currently, the most popular are cars powered by solar energy, i.e., so-called electric cars. Due to the possibility of installing a micro photovoltaic installation at home, these vehicles are gaining popularity. In addition to vehicles for private use, many logistics companies are trying to expand their awareness of the need to replace vehicles with ones that use renewable energy. It seems that in logistics in particular courier companies have one of the largest shares in transport. An example is the GLS company, which has been implementing the Think Green initiative since 2008, which involves the company carrying out a wide range of pro-ecological activities. The e-commerce industry seems to be a leader in the use of renewable energy, e.g., InPost. They created the "Green City" program, under which it expands the parcel locker network with machines powered only by solar energy.
Alternative drive vehicles for the courier market
Courier service is a process of collecting a parcel from point A (sender)and transporting it to point B (recipient). The elements that create such a service are; price (the amount for which the courier company will deliver the parcel), deadline (specified when purchasing the service - includes the date of collection from the sender and delivery to the recipient), quality (delivery of an undamaged parcel, and in the event of damage during transport, the cost of damage is borne by the courier company). The courier industry is abbreviated as KEP (courier-express-paczka). Its services include courier, express and postal shipments, mainly for parcels up to 31.5 kg. The courier and postal services are very similarin application. In the first case, the difference lies in the selection of additional options, such as: tracking the shipment route, selecting the date (day and time) of shipment delivery. Additionally, many courier companies, despite selecting the date before the recipient, allow making further changes (redirecting the parcel to another address or day/time) 24 hours before the parcel is delivered, notifying the recipient via e-mail. The range of additional services provided by courier companies (KEP) is expanding day by day, trying to be unrivaled in the home parcel delivery market. This is extremely important because the dynamic development of the Internet and the Covid-19 pandemic contributed to the expansion of e-commerce. At the same time, it resulted in the development of the courier industry - illustrated in Figure 4.
Analyzing the data contained in Figure 4, an increase in the value of the KEP market is noted over the years 2014-2023. We can therefore conclude that the number of delivered parcels is increasing every year. Therefore, KEP enterprises must follow technological progress while introducing new technical solutions aimed at improving their services. The creation of modern terminals and sorting facilities shortens the shipment supply chain process, which allows for the provision of services with shorter lead times, which is very important for the final recipient. There has also been development in the methods of collecting parcels, cashless payments are becoming more and more popular, and the network of parcel lockers and parcel collection points is developing dynamically. Activities that stimulate the development of KEP include pressure to reduce outstanding inventories, dynamic development of online shopping, changing concept of retail sales [19]. Additionally, courier companies introduce Intelligent Transport Systems (ITS) and low-emission cars in transport and organization. Through ITS systems, it is possible to plan routes and service areas for a given courier, optimizing the number of possible parcels to be delivered and the number of kilometers traveled by the courier. Car manufacturers believe that the number of electric cars intended for courier companies will increase due to the demand for courier services. They are preparing not only to implement the guidelines related to the Electromobility Act (from January 1, 2022, companies implementing social/municipal/government contracts should have a 10% share of electric cars in their fleets), but also to meet the growing demand for e-services from customers for whom electric vehicle delivery is consistent with their environmental views. A good example illustrating the development of electromobility on the courier market is the Voltii company in London, where it turned out that a kilometer traveled around the British capital by Voltia cost 1.8 pence, while a diesel cost 2.8 pence. Therefore, the expenses for operating the Volitia fleet were about 20% lower than the diesel ones. And the tested e-vans delivered on average 34% more parcels (over the course of a week) than smaller vehicles powered by conventional fuels. The company calculated that 112,000 electric cars could replace 218,000 diesel vehicles [24]. Another example of the development of electromobility is Elocity, the Polish leader in EMP (electromobility provider), which continues to develop services related to electromobility for the logistics and KEP sectors. Elocity's first and largest client in this area was DPD (courier services), very well known on the Polish market. Elocity boasts that in mid-December 2021, she managed the DPD infrastructure, electric vehicle charging stations (over 100 stations), optimization of the charging process, and provided the necessary reports to increase the efficiency of couriers' work. Elocity's clients also include GLS, a company very well known on the Polish courier services market. For GLS Elocity in 2021, he built an entire system related to electromobility, which included construction and development of the infrastructure of own charging stations, management of these stations, management of the car charging process, cost optimization and work on increasing the efficiency of the electrified fleet. Additionally, GLS can boast that it has expanded its fleet by 100 new electric vehicles by the end of 2022. The first series of 21 Ford E-Transit 350 series vehicles was delivered to the company in October 2022. These cars charge in about 30 minutes and have a range of 260 km. The plans of the GLS management board are that by 2030 at least 50% of the vehicles in the fleet will have low- or zero-emission drive, and in 2035 every new transport vehicle will meet such conditions. In addition to meeting exhaust emission standards, such cars are also equipped with many safety and driving systems. These include parking sensors, cameras, collision avoidance systems with automatic braking and a lane departure warning system. These are, of course, just some of the systems that are currently installed in such cars. DHL Express is also decarbonizing its fleet in Poland. By 2025, 60 percent courier vehicles will be electric. By the end of 2021, they appeared in Szczecin, Gdańsk, Olsztyn, Poznań, Warsaw, Wrocław, Lublin and Rzeszów. By 2025, there will be over 200 of them throughout Poland. The company initially chose the Volkswagen e-Crafter, which has a range of 120 km and a payload of 837 kg. In 2021, InPost's electric fleet exceeded 300 cars. It consists of over 250 Nissan e-NV200s and 10 eSprinters from Mercedes Benz. – InPost parcel lockers are already the most ecological form of delivery, as they reduce CO2 emissions by as much as 75%. By switching the courier fleet to electric cars, the negative impact of e-commerce logistics on the environment is further reduced [20], [21], [22], [23].

3. Application of electromobility in the courier market on a selected example using AHP analysis and computer simulation

The examined company is a medium-sized courier company providing services in Poland. Until recently, the entire fleet consisted of conventionally powered vehicles, but over time, technological progress and the widely promoted trend of caring for the environment by reducing pollutant emissions, it was decided to make changes and purchase non-conventional vehicles. The potential of electric vehicles is constantly growing, which can be seen not only in passenger cars, but also in delivery vans. The market is developing very quickly and dynamically, thus providing a wide range of opportunities. This phenomenon is positive but requires careful analysis before purchasing a vehicle. Many factors will be important here, such as range on one charge. The analyzed company reviewed the market in terms of available electric cars and selected four types in which they were potentially interested and selected the basic parameters to select the final solution, as shown in Table 3. For the purposes of this article, no names or brands of cars are provided, they are marked as: A, B, C, D; however, all their data is downloaded from the manufacturers' websites and is consistent with reality. All models were considered with the same, i.e., standard, equipment.
To select the appropriate delivery vehicle for the examined company, an AHP (analytic hierarchy process) analysis was performed. Due to the nature of the company, not only the price of the vehicle is important, but also the cargo space. The car should be as universal as possible because the company cannot predict what the customer will order or what he will want to send. All-important parameters that should be considered are summarized in table 4 and described using criteria.
Seven car parameters were adopted as criteria, which were then sorted according to hierarchy and compared in the criteria priority matrix (Table 5).
where:
1 - no priority 1 - no priority
2 - slight priority 1/2 - slight subordination
3 - clear priority 1/3 - clear subordination
4 - very clear priority 1/4 - very clear subordination
5 - undisputed priority 1/5 - unquestionable subordination
The matrix table was normalized (Table 6).
The next step was to determine mutual preferences in relation to individual criteria and carry out standardization (Table 7).
The next step was to normalize the preference matrix according to the C1-C7 criterion (Table 8).
As a result of the AHP analysis steps developed in this way, a winner emerged as a vehicle for the examined company (Figure 5). According to previously adopted markings, vehicles are classified as: A, B, C, D.
The obtained classification shows that the best choice will be vehicle B. The battery capacity is of great importance in its parameters, with a significantly lower price compared to vehicle C. A range of 220 km on one charge allows it to be used both in the city and outside it. Additionally, it also has the largest load capacity of all the proposed cars, which gives greater opportunities to optimize courier routes. The examined company operates in Warsaw and the surrounding area. Several regions were selected for the research to check whether electric cars will be suitable for their operation, even if it is necessary to reorganize courier routes, which is an indispensable element of this industry. The surveyed company serves a total of 35 regions, each with an average of 5 routes. For the purposes of the article, 5 regions (and their individual routes) were selected, including those where, with current planning, they cannot be served by electric vehicles and will have to be replanned. Of all 35 regions, only 4 require replanning, the remaining 31 can be served by conventional and electric vehicles without the need to modify them. The regions are marked with numbers 0d 1 to 35, and the routes according to the region number. Examples of 6 regions considered for the study are presented in table 9.

4. Results

Analyzing the data contained in table number 9, it is noted that 2 of the presented regions cannot be serviced by an electric vehicle and their modernization is necessary (region 13 and 24). In addition to the routes covered by couriers, it is important that the vehicle has adequate load capacity. According to the data obtained by the company, with the increasing number of kilometers to be covered, the number of parcels that need to be transported increases, so special attention should be paid to the average weight of parcels that are transported. However, this is an area for further research, this article focuses on safe route travel in terms of the number of kilometers. Therefore, a simulation was performed to determine the required number of electric cars so that the drivers' work did not require driving all day long, and the division of the number of parcels was fair and optimal. The optimization factors considered the maximum working time of drivers and a 30-minute break. The simulation was performed using IT software used in the tested company, the results are presented in Table 10. It is worth noting that the data for the simulation must be very detailed, including not only information about the driver's working time, but also the speed on the roads on which the vehicle will be driven. was moving in accordance with road traffic regulations. As a result of the simulations, the routes were optimized so that they did not exceed the permissible kilometers of an electric car.
Analyzing the data contained in table number 10, it is noted that it is possible to plan routes so that they can be traveled by electric cars. The company should consider whether the use of this type of vehicles will be profitable for them. Among the surveyed regions, it is noted that one of them has a planned start of routes at 10:00, which is clear from heavy traffic jams in the city center in the morning. Therefore, the start of work for this region was set at an hour later than the standard 8:00. Additionally, each region because of optimization, it achieved a much lower number of kilometers covered, and no route exceeds the permitted 220 km of range of an electric vehicle. All drivers stay within their working hours, and after optimization, the times have been reduced. For region 13, the time common to all drivers increased from 35 hours 16 minutes to 34 hours 21 minutes, which means a reduction of 55 minutes, which means that on average there is approximately 8 minutes less per route. For region 24 from 36 hours 17 minutes to 34 hours 56 minutes, which means a reductionby 1 hour 21 minutes, so on average 12 minutes for one route. The observed reductions in times are not very large. The number of routes for each region has increased, accordinglyBased on the simulation carried out, the results of which are presented in Table 10, two new routes have been added for regions 13 and 24, which requires not only two additional vehicles, but also two additional drivers. It should be remembered that the use of even a larger number of electric vehicles has a positive impact not only on the environment, but also on the rational distribution of routes. Further research directions should focus on the use of cargo space and the possibility of company development by increasing the number of vehicles is needed to use the electromobility of a courier company to deliver an increasing number of parcels, using drivers' working time and cargo space.

5. Discussion

Replacing conventionally powered vehicles with electric cars in large enterprises involves risk. Despite the rapid development of electromobility, potential investors are still concerned about whether the cost of purchasing electric cars will bring real profits after many years. Additionally, the actual ranges on a single charge in many industries and services remain too low to meet the requirements of companies. Due to the sustainable development policy introduced in its units, the examined company also tests several models of delivery vehicles, covering routes with a small number of kilometers up to the maximum range declared by the car manufacturer on a single charge. In the case of large-scale use of electric cars, it is necessary to assess the risk and possible undesirable effects, which the company carried out before using the selected electric car. Currently, the company partially uses electric vehicles, but conventionally powered vehicles have not been completely abandoned. Due to the systematic introduction of electric vehicles to the examined enterprise, it can be concluded that the cars available on the market can be used in the KEP industry. However, proper route optimization is required, adapted to the limitations that may arise while driving. Car charging takes place on the company's premises, and in the future, it is planned to build a photovoltaic farm. Currently, it is a small installation that meets the needs of electric cars. Only 10 out of 35 supported regionsof them are operated by electric vehicles. This fleet is expected to expand in the future. In the current regions where electric cars are used, there is an improvement in the analyzed parameters, i.e., the number of kilometers and courier working time, despite the need to increase the number of routes in specific regions. The development of electromobility is noticeable from year to year, which means that in a few years vehicles may have much longer ranges and operating time on a single charge, which will make the work of the KEP industry much easier. However, it should be remembered that the larger the battery, the longer the charging time, so before purchasing an electric car, you need to thoroughly analyze your needs. Greater coverage will not always be needed for a given region. Many courier companies have ambitious goals that translate into specific actions, but there is no doubt that there will still be more courier cars on our streets for a long time with conventional drive rather than low- or zero-emission ones.

6. Conclusions

The research conducted in this article allows us to determine whether the purpose of the work has been achieved or not. The aim of the work was achieved, it was proven that it is possible for electric cars to function in courier companies and fulfill their tasks. However, this involves the need to adapt routes to this type of vehicles. The question was posed in the form of a research problem: what changes should be made to enable the use of electric vehicles for the courier industry? The answer is that these changes mainly concern the need to modify the route so that its length does not exceed the maximum range of an electric car. Additionally, as can be seen because of the research conducted, in both cases it was necessary to add additional routes for the regions, which contributed to the need to employ two new employees, but at the same time reduced the number of kilometers for each from regions and the time spent on work by employees. This article examines the aspect of the possibility of using electric vehicles in terms of the kilometers covered, comparing them with the range of an electric car, and a detailed analysis of the selection of the vehicle model to the company's needs. Further research directions are recommended regarding the use of electric cars for the KEP industry in terms of load capacity. The conducted research clearly confirms the appropriateness of using eclectic cars for selected regions of the company in the Capital City of Warsaw.

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  22. Hodana, M. , Holtzer G., Kalandyk K., Szymańska A., Szymański B., Żymankowska – Kumon S. (2021) Odnawialne źródła energii. Kraków: Stowarzyszenie na rzecz efektywności energetycznej i rozwoju odnawialnych źródeł energii „Helios”. https://www.researchgate.net/publication/275658537_Odnawialne_zrodla_energii_Poradnik_Krakow_2012 [14.08.2023 r.
  23. Kawa. A. Analiza rynku KEP w Polsce, GS1 Polska. Poznań 2017 str. 19.
  24. https://logistyka.rp.pl/logistyka-kontraktowa/art17116071-kurierzy-napedzaja-popyt-na-elektryki [10.08.2023 r.].
  25. https://elo.city/news/elocity-elektromobilnosc-dla-logistyki-i-kep [10.08.2023 r.].
  26. https://www.fiatprofessional.com/pl/elektryczne-e-ducato [17.08.2023 r.].
  27. https://www.vwdostawcze.pl/pl/modele/e-crafter.html [11.08.2023 r.].
  28. https://www.peugeot.pl/modele/peugeot-boxer.html [12.08.2023 r.].
  29. https://www.man.eu/pl/pl/samochod-dostawczy/man-tge/naped-elektryczny/man-etge.html [13.08.2023 r.].
  30. Dane firmy kurierskiej.
Figure 1. Division of renewable energy according to its source. Source: Own study based on [22].
Figure 1. Division of renewable energy according to its source. Source: Own study based on [22].
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Figure 2. The share of green energy in Poland in 2004-2020. Source: Own study based [16].
Figure 2. The share of green energy in Poland in 2004-2020. Source: Own study based [16].
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Figure 3. Share of renewable energy in transport in Poland. Source: Own study based [17].
Figure 3. Share of renewable energy in transport in Poland. Source: Own study based [17].
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Figure 4. Value of the KEP market in PLN million in 2014-2023. Source: Own study based [18].
Figure 4. Value of the KEP market in PLN million in 2014-2023. Source: Own study based [18].
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Figure 5. Car classification because of AHP analysis. Source: Own study based [30].
Figure 5. Car classification because of AHP analysis. Source: Own study based [30].
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Table 1. Cargo transport by transport direction in 2022.
Table 1. Cargo transport by transport direction in 2022.
2022 year Total National transport International transport
export import transit between foreign countries
In a thousand tons Participation %
Railway transport 237 587 64,3 12,4 20,3 3,0 -
Car transport 1 541 209 81,6 6,2 5,2 0,3 6,7
Maritime transport 8 459 2,5 46,9 43,2 0,2 7,3
Inland water transport 2 076 32,1 9,8 2,2 0,1 55,8
Air Transport 119 0,2 99,8 99,8 99,8 99,8
Source: Own study based on [3].
Table 2. Power of installed carriers - data for Poland in 2005-2020.
Table 2. Power of installed carriers - data for Poland in 2005-2020.
Type of renewable energy installation Installed capacity [MW] for individual years
2005 2010 2015 2020
Biogas 31,972 82,884 212,497 255,699
Biomass 189,790 356,190 1122,670 1512,885
Sunny 0 0,033 71,031 887,434
Wind 83,280 1180,272 4582,036 6347,111
Hydropower 852,945 937,044 981,799 976,047
Sum 1157,537 2556,423 6970,033 9979,176
Source: Own study based on [15].
Table 3. Electric delivery vehicles.
Table 3. Electric delivery vehicles.
Electric delivery vehicles
A B C D
Range on one charge 100 km 220 km 240 km 100 km
Battery capacity 35 kWh 70 kWh 79 kWh 35,8 kWh
Maximum speed 90 km/h 100 km/h 100 km/h 90 km/h
Engine power 100 kW (136 KM) 88 kW (120 KM) 90 kW (122 KM) 100 kW (136 KM)
Cargo space 11,3 m3 13 m3 15 m3 10,7 m3
Capacity 1000 kg 1060 kg 1490 kg 950 kg
Charging 0-100 %: 5 h 20 min – power 7,4 kW 0-100 %: 12 h – power 7,4 kW 0-100 %: 13,5 h – power 7,4 kW 0-100 %: 5 h 20 min – power 7,4 kW
List price approx. 277 thousand PLN (net) approx 310 277 thousand PLN (net) approx 352 thousand PLN (net) approx 245 thousand PLN (net)
Source: Own study based [24],[25], [26], [27], [28],[29].
Table 4. Criteria for AHP analysis.
Table 4. Criteria for AHP analysis.
A B C D
C1- range on one charge 100 220 240 100
C2- maximum speed 90 100 100 90
C3 – engine power 136 120 122 136
C4- cargo space 11,3 12 12 10,7
C5 – capacity 1000 1060 765 950
C6- charging 5 h 20 min 12 h 13,5 h 5h 20 min
C7 – list price 265 305 345 265
Source: own study.
Table 5. AHP analysis criteria priority matrix.
Table 5. AHP analysis criteria priority matrix.
Macierz pierwszeństwa kryteriów
C1 C2 C3 C4 C5 C C7
C1 1 5 4 2 2 4 1/2
C2 1/5 1 2 1/3 1/4 1/2 1/5
C3 1/4 1/2 1 1/3 1/3 1/2 1/5
C4 1/2 3 3 1 1/2 4 1/2
C5 1/2 4 3 2 1 4 1/2
C6 1/4 2 2 1/4 1/4 1 1/4
C7 2 5 5 2 2 4 1
Suma 4,70 20,50 20,00 7,92 6,33 18,00 3,15
Source: own study.
Table 6. Standardized criteria precedence matrix.
Table 6. Standardized criteria precedence matrix.
Standardized criteria precedence matrix
C1 C2 C3 C4 C5 C6 C7 Average
C1 0,21 0,24 0,20 0,25 0,32 0,22 0,16 0,23
C2 0,04 0,05 0,10 0,04 0,04 0,03 0,06 0,05
C3 0,05 0,02 0,05 0,04 0,05 0,03 0,06 0,04
C4 0,11 0,15 0,15 0,13 0,08 0,22 0,16 0,14
C5 0,11 0,20 0,15 0,25 0,16 0,22 0,16 0,18
C6 0,05 0,10 0,10 0,03 0,04 0,06 0,08 0,07
C7 0,43 0,24 0,25 0,25 0,32 0,22 0,32 0,29
Sum 1,00
Source: own study.
Table 7. Preference matrix for electric cars according to C1-C7 criteria.
Table 7. Preference matrix for electric cars according to C1-C7 criteria.
Matrix of preferences for electric cars according to C1
A B C D
A 1 1/2 1/3 1
B 2 1 1/2 2
C 3 2 1 3
D 1 1/2 1/3 1
Sum 7,00 4,00 2,17 7,00
Matrix of preferences for electric cars according to C2
A 1 1/2 1/2 1
B 2 1 1 2
C 2 1 1 2
D 1 1/2 1/2 1
Sum 6,00 3,00 3,00 6,00
Matrix of preferences for electric cars according to C3
A 1 3 2 1
B 1/3 1 1/2 1/3
C 1/2 2 1 1/2
D 1 3 2 1
Sum 2,83 9,00 5,50 2,83
Matrix of preferences for electric cars according to C4
A 1 1/2 1/2 2
B 2 1 1 3
C 2 1 1 1/3
D 1/2 1/3 3 1
Sum 5,50 2,83 5,50 6,33
Matrix of preferences for electric cars according to C5
A 1 1/2 3 2
B 2 1 4 3
C 1/3 1/4 1 1/2
D 1/2 1/3 2 1
Sum 3,83 2,08 10,00 6,50
Matrix of preferences for electric cars according to C6
A 1 2 3 1
B 1/2 1 2 1/2
C 1/3 1/2 1 1/3
D 1 2 3 1
Sum 2,83 5,50 9,00 2,83
Matrix of preferences for electric cars according to C7
A 1 2 3 1
B 1/2 1 2 1/2
C 1/3 1/2 1 1/3
D 1 2 3 1
Sum 2,83 5,50 9,00 2,83
Source: own study.
Table 8. Normalized matrix of preferences for electric cars according to the C1-C7 criterion.
Table 8. Normalized matrix of preferences for electric cars according to the C1-C7 criterion.
Normalized matrix of preferences for electric cars according to C1
A B C D Średnia
A 0,14 0,13 0,15 0,14 0,14
B 0,29 0,25 0,23 0,29 0,26
C 0,43 0,50 0,46 0,43 0,45
D 0,14 0,13 0,15 0,14 0,14
Sum 1,00
Normalized matrix of preferences for electric cars according to C2
A 0,17 0,17 0,17 0,17 0,17
B 0,33 0,33 0,33 0,33 0,33
C 0,33 0,33 0,33 0,33 0,33
D 0,17 0,17 0,17 0,17 0,17
Sum 1,00
Normalized matrix of preferences for electric cars according to C3
A 0,35 0,33 0,36 0,35 0,35
B 0,12 0,11 0,09 0,12 0,11
C 0,18 0,22 0,18 0,18 0,19
D 0,35 0,33 0,36 0,35 0,35
Sum 1,00
Normalized matrix of preferences for electric cars according to C4
A 0,18 0,18 0,09 0,32 0,19
B 0,36 0,35 0,18 0,47 0,34
C 0,36 0,35 0,18 0,05 0,24
D 0,09 0,12 0,55 0,16 0,23
Sum 1,00
Normalized matrix of preferences for electric cars according to C5
A 0,26 0,24 0,30 0,31 0,28
B 0,52 0,48 0,40 0,46 0,47
C 0,09 0,12 0,10 0,08 0,10
D 0,13 0,16 0,20 0,15 0,16
Sum 1,00
Normalized matrix of preferences for electric cars according to C6
A 0,35 0,36 0,33 0,35 0,35
B 0,18 0,18 0,22 0,18 0,19
C 0,12 0,09 0,11 0,12 0,11
D 0,35 0,36 0,33 0,35 0,35
Sum 1,00
Normalized matrix of preferences for electric cars according to C7
A 0,35 0,36 0,33 0,35 0,35
B 0,18 0,18 0,22 0,18 0,19
C 0,12 0,09 0,11 0,12 0,11
D 0,35 0,36 0,33 0,35 0,35
Sum 1,00
Source: own study.
Table 9. Regions and routes of the examined enterprise.
Table 9. Regions and routes of the examined enterprise.
Average number of km Maximum number of km Average number of km Maximum number of km
Region 1 98,04 129 Region 27 90,15 137
Route 11 140,3 201 Route 271 131,5 188
Route 12 138,1 161 Route 272 88,2 133
Route 13 90,3 96 Route 273 72,3 127
Route 14 77,2 95 Route 274 68,6 99
Route 15 44,3 92 Region 31 106,0 137
Region 7 83,4 101 Route 311 185,5 218
Route 71 180,3 201 Route 312 143,3 181
Route 72 99,1 119 Route 313 100,9 140
Route 73 82,1 94 Route 314 75,8 114
Route 74 55,5 91 Route 315 72,2 101
Region 13 158,14 183 Route 316 57,0 69
Route 131 227,4 280 Region 32 100,3 120
Route 132 195,0 210 Route 321 148,3 158
Route 133 192,0 200 Route 322 88,7 125
Route 134 97,3 125 Route 323 84,3 101
Route 135 79,0 99 Route 324 79,9 95
Region 24 191,40 228 Region 34 65,73 98
Route 241 294,5 350 Route 341 162,5 199
Route 242 251,2 291 Route 342 81,5 150
Route 243 155,7 194 Route 343 61,3 81
Route 244 151,3 160 Route 345 55,2 80
Route 245 104,3 145 Route 346 33,9 75
Region 25 90,41 124 Region 35 99,5 141
Route 251 122,5 162 Route 351 148,6 197
Route 252 113,5 160 Route 352 144,7 164
Route 253 109,3 128 Route 353 102,8 143
Route 254 90,3 121 Route 354 90,6 125
Route 255 67,4 91 Route 355 75,8 114
Route 256 39,5 80 Route 356 34,1 103
Source: Own study based [30].
Table 10. Region routes before and after optimization.
Table 10. Region routes before and after optimization.
Route Start End Route time Kilometers
Region 13 (before optimization)
131 8:00 15:22 7:22 227,4
132 8:00 15:00 7:00 195,0
133 8:00 15:52 7:52 192,0
134 8:00 14:14 6:14 97,3
135 8:00 14:48 6:48 79,0
Sum 35:16 790,7
Region 13 (after optimization)
131 8:00 13:40 5:40 146,4
132 8:00 13:23 13:23 132,2
133 8:00 13:58 5:58 95,4
134 8:00 12:01 4:01 94,3
135 8:00 13:03 5:03 111,5
136 8:00 12:31 4:31 89,7
137 8:00 12:45 4:45 74,2
Sum 34:21 743,7
Region 24 ((before optimization)
241 10:00 17:45 7:45 294,5
242 10:00 17:11 7:11 251,2
243 10:00 17:15 7:15 155,7
244 10:00 17:11 7:11 151,3
245 10:00 16:55 6:55 104,3
Sum 36:17 957,00
Region 24 (after optimization)
241 10:00 16:12 6:12 167,1
242 10:00 16:02 6:02 156,0
243 10:00 14:46 4:46 122,2
244 10:00 14:44 4:44 111,3
245 10:00 14:20 4:20 101,2
246 10:00 14:34 4:34 93,3
247 10:00 14:16 4:16 91,1
Sum 34:56 842,2
Source: Own study based [30].
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