After identifying and extracting the primary data, the research questions have been answered.
Question 1: Comprehensive definition of micro-mobility
Although various definitions of micromobility have been presented, the focus of most articles is based on the definition of The International Transport Forum (ITF) (2020), which also defined micromobility based on the kinetic energy of vehicles as follows: "vehicles with a mass of no more than 350 kg (771 lb) and a design speed no higher than 45 km/h". This definition limits the kinetic energy of the micro mobility vehicle to 27 kJ, which is one hundredth of the kinetic energy of a compact car at maximum speed (The International Transport Forum (ITF), 2020). In other definitions, either the type of driving force of these devices, including electric or human power, has been discussed (Sanjaya et al., 2020) or it has been described qualitatively (Bozzi and Aguilera (2021); Fonseca-Cabrera et al. (2021)) or the type of device in it is specified (O'Hern and Estgfaeller (2022); Shaheen et al. (2020)). The table below shows the different definitions of micro-mobility. Although there are many similarities between the definitions, there is no inclusive and exclusive definition among these definitions that can clearly define micro-mobility.
Table 2. Definitions of Micromobility
No.
|
Definition
|
Reference
|
1
|
vehicles with a mass of no more than 350 kg (771 lb) and a design speed no higher than 45 km/h
|
The International Transport Forum (ITF) (2020)
|
2
|
Micromobility is defined as a small means of transportation that fully or partially uses human power, such as shared bicycles with and without stations (including e-bikes) and shared scooters
|
National Association of City Transportation Officials (NACTO) (2019)
|
3
|
Micromobility refers to small and light modes of transportation (less than 500 kg) with a speed of less than 25 km/h, most of which are used individually, such as using a bicycle, and in a standing position, such as a scooter.
|
Şengül and Mostofi (2021)
|
4
|
Micromobility is defined as a human-powered or electric vehicle with a maximum speed of 25 km/h and a weight of less than 500 kg. Hospital trolleys for delivering medical supplies are one of the examples of micromobility
|
Sanjaya et al. (2020)
|
5
|
Micromobility refers to vehicles that are low speed, small, lightweight and usually used for short trips
|
Institute for Transportation and Development Policy (ITDP) (2021)
|
6
|
Micromobility includes all vehicles that are easy to carry or ride and increase pedestrian traffic.
|
Fonseca-Cabrera et al. (2021)
|
7
|
Micromobility refers to trips made by a wide range of small vehicles. Micro-vehicles include traditional and emerging types of light vehicles, from conventional bicycles and mopeds to e-bikes and e-scooters, e-skateboards and hoverboards.
|
O’Hern and Estgfaeller (2022)
|
8
|
The word micro can refer to both the type of vehicle (light, with a small footprint) and the distance traveled (usually short). The term micromobility covers a range of personal, light and low-speed vehicles
|
Bozzi and Aguilera (2021)
|
9
|
Using bicycles, scooters or small vehicles for usually short urban trips
|
Shaheen et al. (2020)
|
10
|
Micromobility is small transportation devices designed for human-scale movement
|
Bao & Lim (2022)
|
Question 2: Micro-mobility determination criteria
The review of articles shows that just as there is no comprehensive definition and barrier for micro-mobility, there is no agreement on the criteria for determining micromobility and its amount, and even some criteria are dependent on other factors. While the International Transport Forum (ITF) (2020) emphasizes the amount of kinetic energy, weight, speed and driving force, in the classification of The Society of Automotive Engineers (SAE), there are four criteria for classifying micro-mobility vehicles: Weight up to 227 kg, maximum width of 1.5 meters, maximum speed of 48 km/h and electric or combustion engine power source. Using a four-factor classification, the American Society of Automotive Engineers distinguishes six types of electric micro-mobility: electric bicycles, electric stand-up scooters, electric sit-down scooters, electric self-balancing boards, electric non-self-balancing boards, and electric skates (The Society of Automotive Engineers (SAE), 2018). Other studies have also considered the criteria of distance, place of use and type of device while paying attention to the above criteria (Shaheen et al. (2020)). There is no consensus on the value of these criteria and various factors that affect it. For example, the type of vehicle is related to the distance. In this context, Schwinger et al. (2022) and Şengül and Mostofi (2021) and Vetturi et al. (2023) state that e-bike trips are significantly longer than e-scooters. E-scooters are mainly used for trips shorter than 2 km and e-bikes are often used for trips of 4 km. Moinse (2022) estimated the distance from the home or workplace to the public transportation station, i.e., the distance that is suitable for using micro-mobility, to be 3 to 4 kilometers and states that proper planning of the transportation network is necessary to achieve and maintain this distance and the existence of suitable parking for micro-mobility. Şengül and Mostofi (2021) state that micro-mobility should be used for all trips with different travel purposes that are less than 8 km, which accounts for 50-60% of all trips in China, the EU and the United States. Therefore, it can be assumed that micro-mobility may replace the majority of car trips, since it is known that most car trips are made for a distance of less than 8 km. They also state that a review of micro-mobility regulations and restrictions shows that various countries are seeking to legalize the use of this device by limiting age and speed. Regarding speed regulations for these vehicles, the limit in Poland is 25 km/h. The speed limit in Chicago and Oregon is approximately 24 km/h, with the exception that in Oregon there is a contradiction, as micromobility vehicles must not travel slower than traffic speed (approximately 40 km/h) (Şengül and Mostofi., 2021). Kazemzadeh & Sprei (2022) state that the type of vehicle is effective in determining the speed and the speed varies from 15 to 45 km/h depending on the vehicle. It should also be said that technology and the use of electric propulsion has changed the value of the criteria. For example, the increase in distance and speed has been due to the increase in the level of technology and the emergence and expansion of the use of electronic devices (Schwinger et al. (2022)). As it is clear from Table 3, 8 criteria have been specified for determining micro-mobility, but based on different definitions, the amount of these criteria is different and there is no consensus in this field.
Table 3. Micromobility Determination Criteria
No.
|
Criteria
|
Value
|
Reference
|
1
|
The amount of kinetic energy
|
Less than 27 KJ
|
The International Transport Forum (ITF) (2020)
|
2
|
Weight
|
<227 Kg
|
The Society of Automotive Engineers (SAE) (2018)
|
<350 Kg (771 lbs.)
|
The International Transport Forum (ITF) (2020)
|
<500 Kg
|
Sanjaya et al. (2020), Şengül and Mostofi (2021)
|
3
|
Width
|
<1.5 Meters
|
The Society of Automotive Engineers (SAE) (2018)
|
4
|
Speed
|
<48 Km/h
|
The Society of Automotive Engineers (SAE) (2018)
|
<45 Km/h
|
The International Transport Forum (ITF) (2020), Zhang & Kamargianni (2022)
|
<25 Km/h
|
Sanjaya et al. (2020), Bozzi and Aguilera (2021), Şengül and Mostofi (2021)
|
5
|
Distance
|
3 Km up to 15 Km
|
Shaheen et al. (2020), Zhang & Kamargianni (2022), Şengül and Mostofi (2021), Fan and Harper (2022), Abduljabbar et al. (2021), Liao and Correi (2022), Moinse (2022), Vetturi et al. (2023)
|
6
|
Place of Use
|
City/ Urban
|
Shaheen et al. (2020)
|
7
|
Vehicle Type
|
Bicycles and scooters
|
Shaheen et al. (2020)
|
8
|
Power
|
Human or electrically powered
|
The International Transport Forum (ITF) (2020), Sanjaya et al. (2020)
|
Internal Combustion or electric
|
The Society of Automotive Engineers (SAE) (2018)
|
Question 3: Types of micro-mobility
In order to identify the types of micro-mobility based on the identified definitions and criteria, it can be said that in most studies, the articles have focused on a specific type of micro-mobility, especially shared systems and on bicycles and scooters. While micro-mobility devices can be classified based on different types, as shown in Table 4.
Table 4. Diversity of Micromobility
No.
|
Diversity in/ Based on
|
Description
|
Examples
|
1
|
Propulsion Type
|
Human Powered
|
one-wheeled balancing boards, pedal bikes, kick scooters, skateboards, wheelchairs.
|
Electrically Powered
|
E-unicycles, e-bikes, e-scooters, hoverboards, small electric four-wheeled vehicles.
|
2
|
Ownership
|
Private
|
Variety of Vehicles and Devices
|
Shared
|
3
|
Docking/Station
|
Docked (Station-Based (
|
Dock-Less
|
4
|
Historical perspective
|
Traditional Vehicles
|
Ordinary bicycles and two-wheeled motorbikes
|
New and Emerging Devices
|
Electric bicycles, electronic scooters and electric skateboards and hoverboards
|
5
|
Seated/standing
|
Seated (having a chair to sit on)
|
Sitting scooter, bicycle
|
Standing
|
Standing scooter, boards and...
|
6
|
Self-Balancing capability
|
Having a self-balancing board
|
Electric self-balancing board, hoverboard, electric caster board
|
Not having a self-balancing board
|
Non-self-balancing electric board, electric skateboard
|
7
|
Vehicle type based on wheel configuration
|
Unicycle
|
Single wheel balance boards, electronic unicycle
|
Two-wheeler
|
Bicycles (e-bikes and pedal bikes), scooters (e-scooters and kick scooters), skateboards
|
Other
|
Four-wheel small electric cars, wheelchairs, hospital trolleys, roller skates, Segway, tricycles, quadracycles, etc.
|
Schomakers et al. (2022) state that Ducktrains, which are autonomous light electric vehicles for delivering cargo in the city, are a type of micro-mobility.
Question 4: Reasons for and applications of using micro-mobility
Micro-mobility has two main applications, entertainment and need based (to reach entertainment centers, workplaces and schools, public transportation and to meet personal needs and make purchases). These needs are mostly personal and few studies have been done on its application to businesses and organizations. Ducktrains et al. (2022) mentioned crowdshipping through micromobility. They state that due to the growth of e-commerce, new options for delivery of goods (such as mass transit) and small electric transportation or micromobility (e-bikes and e-scooters) have been expanded which causes sustainable transportation, replacing personal cars with micromobility while delivering goods in a short time. An important factor affecting the use of micromobility is the level of infrastructure safety by ensuring the existence of bicycle lanes that are either physically or temporarily separated. They also refer to generating income through mass transportation by micromobility. The reasons for using micromobility in the subject literature are presented in Table 5.
Table 5. Main applications of Micromobility
Reasons or Applications
|
Name of authors (year of publication)
|
For entertainment and to reach entertainment centers
|
Štefancová et al. (2022), Caspi et al. (2020), Şengül and Mostofi (2021), Chang et al. (2019), Hardt and Bogenberger (2019), Li et al. (2020), Pimentel and Lowry (2020), Leger et al. (2018), Dibaj et al. (2021), Li et al. (2021), Tokey, Shioma, & Jamal (2022), Carracedo & Mostofi (2022), Almannaa et al. (2021), Qian, Jaller, & Circella (2023)
|
Reaching public transportation (bus, subway, and train stations)
|
Štefancová et al. (2022), Leger et al. (2018), Dias and Ribeiro (2021), Oeschger, Carroll, and Caulfield (2020), Liao and Correi (2022), Aman and Smith-Colin (2021), Moinse (2022), Ignaccolo et al. (2022), Orozco-Fontalvo et al. (2022), Nigro et al. (2022), Zhang & Kamargianni (2022), Chicco & Diana (2022), Li et al. (2022), Yang et al. (2020), Liu & Miller (2022), Diallo, Gloriot, & Manout (2023), MacKenzie (2020), Latinopoulos, Patrier, & Sivakumar (2021), Latinopoulos, Patrier, & Sivakumar (2021), Akova, Hulagu, & Celikoglu (2022), Cheng et al. (2023), Tokey, Shioma, & Jamal (2022), Luo et al. (2021), Baek et al. (2021), Zhang, Guo, & Feng (2022), Truden et al. (2022), Abduljabbar, Liyanage, & Dia (2022), Bai & Jiao (2020)
|
To meet personal and shopping needs
|
Štefancová et al. (2022), Hardt and Bogenberger (2019), Leger et al. (2018), Li et al. (2021), Tokey, Shioma, & Jamal (2022), Carracedo & Mostofi (2022), Qian, Jaller, & Circella (2023)
|
Going to work and school
|
Štefancová et al. (2022), Aman and Smith-Colin (2021), Şengül and Mostofi (2021), Chang et al. (2019), Hardt and Bogenberger (2019), Li et al. (2020), Nigro et al. (2022), Li et al. (2021), Tokey, Shioma, & Jamal (2022), Carracedo & Mostofi (2022), Qian, Jaller, & Circella (2023), Almannaa et al. (2021), Bai & Jiao (2020)
|
Transporting goods (Cargo) in the form of crowdshipping (urban logistics)
|
Castiglione et al. (2022), He et al. (2021), Carracedo & Mostofi (2022), Schomakers et al. (2022)
|
As it is clear from Figure 5, the use of micromobility to reach public transportation such as bus, taxi, subway and train is the most frequent among the micromobility applications mentioned in the literature.
Question 5: Advantages and disadvantages of micromobility
The review of the literature showed that the benefits of micromobility can be divided into two categories: direct and indirect benefits. Direct benefits are benefits that affect transportation, such as easier access to public transportation, less use of private vehicles, and sustainable transportation. Indirect benefits are benefits that result from the effects of using this type of transportation on citizens, such as increasing access to services and opportunities in the city, reducing travel time and cost, reducing energy and fuel consumption, and improving health.
It should be noted that there are conflicting opinions in the articles regarding the benefits of micromobility. Some studies have pointed out the effects of micromobility on reducing pollution and improving health. For example, Oeschger, Carroll, and Caulfield (2020) state that the combination of micromobility and public transportation; Along with the current benefits of public transportation results in increased access, speed and convenience, and provides “Door to Door” that will significantly enhance accessibility. Also, Liao and Correi (2022) state that micromobility has positive effects on transportation and the environment (such as reducing car use, car ownership and greenhouse gas emissions). Dias and Ribeiro (2021) state that micromobility in cities has been strongly associated with environmental, social and economic benefits. Its use is mostly to connect to public transport to promote first and last miles of the trips. Their results show increased health and time saving. Martínez et al. (2019) have estimated the total value of socio-economic effects (impact on the economy and health benefits) for each euro invested in shared bike programs between 1.37 and 1.72 euros. Peng et al. (2022) state that shared micromobility systems are new and more convenient travel options while reducing transportation-related greenhouse gas emissions. Their results show that these systems have positive environmental effects and have the potential to facilitate the decarbonization of urban transportation. The results of Sun et al. (2021) shows that shared micromobility can reduce energy consumption by 1% at the national level and 2.6% at the city level, therefore micromobility is known as the biggest factor in energy consumption reduction. On the other hand, Sun and Ertz (2022) state that unlike previous studies, micromobility including types of free-floating bike-sharing (FFBS), free-floating e-bike sharing (FFEBS), and free-floating e-scooter sharing (FFESS) except station-based bike-sharing (SBBS) have not achieved the desired benefits of reducing greenhouse gas emissions, which is due to excessive commercialization and low usage. In addition, regional differences in mode choice, operational efficiency, fleet scale and market potential of shared micromobility and related greenhouse gas emission impacts vary widely. Therefore, the authorities should formulate appropriate shared micromobility programs based on the current conditions and objectives of the region. The results of Bozzi and Aguilera (2021) showed that electronic scooters are often associated with a high perception of risk by people and an increase in the occurrence of road accidents. Regarding the environmental effect of these devices, there are conflicting opinions so that although these devices reduce air pollution, they are polluting in terms of production and materials, especially battery charging related pollutions (Echeverría-Su et al., 2023). Integrating shared e-scooters into existing transportation systems requires policy changes, both at the local and national levels, including traffic regulations, safety laws, and physical infrastructure. They determined health and hygiene effects in three domains of injury (loss of balance or falls, upper extremity and head injury), perceived safety, and physical activity (reduced activity compared to walking). In addition, they stated that physical injuries were caused by the lack of helmet-related laws, but even in countries where the use of helmets is mandatory, e-scooter riders rarely use protective equipment, and risky behavior is especially harmful in young men. In relation to the perceived safety, there is a need for the existence of infrastructure and the separation of the paths of these devices from other devices and pedestrians, as well as the maneuverability of the devices, including the amount of their braking power. In summary, it can be said that the main potential of micromobility in the urban context is in solving the problem of First- and Last-Mile and access to public transportation. In Table 6, the advantages of micromobility are presented in an integrated manner.
Table 6. Advantages of micromobility
No.
|
Type
|
Advantages
|
Name of authors (year of publication)
|
1
|
Direct
|
Convenience, flexibility and access to public transportation
|
Esztergár-Kiss and Lopez Lizarraga (2021), Abduljabbar et al. (2021), Şengül and Mostofi (2021), Nigro et al. (2022), Bretones and Marquet (2022), Fazio et al. (2021), Chicco & Diana (2022), Li et al. (2022), Yang et al. (2020), Liu & Miller (2022), Diallo, Gloriot, & Manout (2023), MacKenzie (2020), Latinopoulos, Patrier, & Sivakumar (2021), Abouelela, Al Haddad, & Antoniou (2021), Tokey, Shioma, & Jamal (2022), Kazemzadeh & Sprei (2022), Sanders, Branion-Calles, & Nelson (2020), Carracedo & Mostofi (2022), Zhang, Guo, & Feng (2022), Bergantino, Intini, & Tangari (2021), Truden et al. (2022), Abduljabbar, Liyanage, & Dia (2022), Qian, Jaller, & Circella (2023), Bai & Jiao (2020)
|
2
|
Helping to change mobility patterns and behaviors, including less use of car-based urban mobility systems and moving towards mobility as a service instead of vehicle ownership
|
Esztergár-Kiss and Lopez Lizarraga (2021), Abduljabbar et al. (2021), Şengül and Mostofi (2021), Bretones and Marquet (2022), Aman and Smith-Colin (2021), Oeschger, Carroll, and Caulfield (2020), Dias and Ribeiro (2021), Cardell & Moller (2020), Fan and Harper (2022), Orozco-Fontalvo et al. (2022), Zhang & Kamargianni (2022), Castiglione et al. (2022), Fazio et al. (2021),
Reck, Martin, & Axhausen (2022), Comi, Polimeni, and Nuzzolo (2022), Eccarius & Lu (2020), MacKenzie (2020), Kazemzadeh & Sprei (2022), Carracedo & Mostofi (2022), Krauss, Reck, & Axhausen (2023), Turoń & Kubik (2022), Bai & Jiao (2020)
|
3
|
Sustainable transportation
|
Esztergár-Kiss and Lopez Lizarraga (2021), Abduljabbar et al. (2021), Bretones and Marquet (2022), Eccarius & Lu (2020), Ecer et al. (2023), Fistola, Gallo, & La Rocca (2022), Choi, Kim, & Seo (2023), Kazemzadeh, Haghani, & Sprei (2023), Diallo, Gloriot, & Manout (2023), Savastano et al. (2023), Abduljabbar, Liyanage, & Dia (2022), Luo et al. (2021), Deveci et al. (2022)
|
4
|
Indirect
|
Increasing access to services and opportunities
|
Oeschger, Carroll, and Caulfield (2020), Esztergár-Kiss and Lopez Lizarraga (2021), Abduljabbar et al. (2021), Bretones and Marquet (2022), Hamari et al. (2015), Reck & Axhausen (2021)
|
5
|
Reduce travel time and cost
|
Esztergár-Kiss and Lopez Lizarraga (2021), Abduljabbar et al. (2021), Bretones and Marquet (2022), Dias and Ribeiro (2021), Castiglione et al. (2022), MacKenzie (2020), Carracedo & Mostofi (2022), Hamari et al. (2015), Bullock et al. (2017), Qiu & He (2018), Gao et al. (2021), Liu & Miller (2022), Adjei, Cimador, & Severengiz (2022), Öztaş Karlı, Karlı, & Çelikyay (2022), Peters & MacKenzie (2019), Bergantino, Intini, & Tangari (2021)
|
6
|
Reducing energy and fuel consumption
|
Fan and Harper (2022), Zhang & Kamargianni (2022), Castiglione et al. (2022), Reck, Martin, & Axhausen (2022), Carracedo & Mostofi (2022), Bergantino, Intini, & Tangari (2021), Esztergár-Kiss and Lopez Lizarraga (2021), Abduljabbar et al. (2021), Bretones and Marquet (2022), Peng et al. (2022), de Bortoli (2021), Sun et al. (2021), Li et al. (2022), Dozza et al. (2023), Echeverría-Su (2023), Reis, Baptista, & Moura (2023), Mitra & Hess (2021), Coretti Sanchez, Alonso Pastor, & Larson (2022), Wilkinson & Badwan (2021), Zhang, Guo, & Feng (2022), Truden et al. (2022), Abduljabbar, Liyanage, & Dia (2022)
|
7
|
Improving health
|
Dias and Ribeiro (2021), Fan and Harper (2022), Orozco-Fontalvo et al. (2022), Zhang & Kamargianni (2022), Castiglione et al. (2022), Carracedo & Mostofi (2022), Bergantino, Intini, & Tangari (2021), Esztergár-Kiss and Lopez Lizarraga (2021), Abduljabbar et al. (2021), Bretones and Marquet (2022), Peng et al. (2022), de Bortoli (2021), Mitra & Hess (2021), Martinez et al. (2019), Sareen, Remme and Haarstad (2021), Sanders, Branion-Calles, & Nelson (2020), Posirisuk, Baker, & Ghajari (2022)
|
The factors that hinder the wider acceptance of micromobility, or in other words, the disadvantages of micromobility, can also be classified into two categories: infrastructural barriers and social-natural barriers. Infrastructural barriers mean lack of suitable infrastructure (Mayhew and Bergin, 2019) (Gössling, 2020) (Zhang et al., 2021), lack of sufficient number of devices at the right time and place (geographical and temporal distribution), non-separation of the usage path and parking place (Gehrke, Sadeghinasr, Wang, & Reardon, 2021). For example, bicycle infrastructure factors such as good road quality and separate bicycle lanes play an important role in accelerating public bicycle adoption (Abolhassani, Afghari, & Borzadaran, 2019) (Hess & Schubert, 2019). Yang et al. (2022) state that sections with sidewalks, dedicated bicycle facilities, lower speed limits, street lights, and more trees have higher trip volumes. Second category barriers include privacy concerns (Aguilera-García et al., 2020), safety concerns and perceived difficulty or inconvenience of use for example; The need for helmets and the increase in accidents (Fishman et al., 2014; Fishman et al., 2015; Serra et al., 2021; Fonseca-Cabrera et al. (2021)) and lack of rules. To reduce these obstacles, especially in the field of accidents and security, solutions such as the establishment of related laws, the separation of micromobility paths from riders and pedestrians have been proposed (Fonseca-Cabrera et al. (2021); Pazzini et al. (2022)). In addition, people who are more concerned about the environment are more likely to use shared bicycles or shared electric scooters (Aguilera-García et al., 2020; Eccarius & Lu, 2020). Also, the environment and climate play a stronger role in influencing a person's intention to use micromobility. This argument is not surprising given the characteristics of most micromobility devices, such as lower speed (20 mph or less), shorter distance (1.5-2.9 km) and no canopy, and therefore proximity to shared bicycles is an important factor (Abolhassani, Afghari, & Borzadaran, 2019; de Chardon et al., 2017; Fishman et al., 2015). Temperature, weather and air quality factors also have a great impact on people's intention to use micromobility. For example, precipitation, wind and heat, and poor air quality are factors that prevent greater adoption of shared bicycles (Campbell et al., 2016; de Chardon et al., 2017). Hosseinzadeh et al. (2021) have investigated the effect of factors such as weather, day of the week, holidays and special events on the travel frequency of electronic scooters and shared bicycles. According to their study, rain reduced trips for shared bikes by 17% and shared e-scooters by 16%. Table 7 lists the disadvantages or concerns related to micromobility that have been emphasized in the literature.
Table 7. Disadvantages of micromobility
No.
|
Type
|
Disadvantages
|
Name of authors (year of publication)
|
1
|
Infrastructural
|
Demanding proper infrastructure
|
Zhang & Kamargianni (2022), Castiglione et al. (2022), Fazio et al. (2021), Carracedo & Mostofi (2022), Deveci et al. (2022), Esztergár-Kiss and Lopez Lizarraga (2021), Dozza et al. (2023), Moinse (2022), Şengül and Mostofi (2021), Nigro et al. (2022), Abolhassani, Afghari & Borzadaran (2019), Hess & Schubert (2019), Karpinski, Bayles & Sanders (2022), Zakhem and Smith-Colin (2020), Lanza, Burford, and Ann Ganzar (2022), Mayhew and Bergin (2019), Gössling (2020), Zhang et al. (2021), Bozzi and Aguilera (2021), Dozza, Violin, and Rasch (2022), Vetturi et al. (2023), Jiao, Lee, & Choi (2022), Kutela et al. (2022), Cheng et al. (2023), Yang et al. (2022), Abdelfattah, Deponte, & Fossa (2022), Useche et al. (2022)
|
2
|
Parking spaces and parking concerns
|
Zhang & Kamargianni (2022), Esztergár-Kiss and Lopez Lizarraga (2021), Moinse (2022), Şengül and Mostofi (2021), Zakhem and Smith-Colin (2020), Tice (2019), Medina-Molina et al. (2022), Abouelela, Al Haddad, & Antoniou (2021)
|
3
|
The need for the availability of vehicles (the existence of service providers, the variety of vehicles and geographical coverage, the issue of lack of vehicles and dissatisfaction)
|
Zhang & Kamargianni (2022), Krauss, Reck, & Axhausen (2023), Gao et al. (2021), Liu & Miller (2022), Adjei, Cimador, & Severengiz (2022), Peters & MacKenzie (2019), Esztergár-Kiss and Lopez Lizarraga (2021), Cheng et al. (2023), Tice (2019), Medina-Molina et al. (2022), Sun and Ertz (2022), Ignaccolo et al. (2022), Zhao et al. (2021), Sunio, Laperal, & Mateo-Babiano (2020), Frias-Martinez, Sloate, Manglunia, & Wu (2021), Loudon et al. (2023), Akova, Hulagu, & Celikoglu
(2022), Gehrke, Sadeghinasr, Wang, & Reardon (2021), Qian, Jaller, and Niemeier (2020), D’Andreagiovanni, Nardin, & Carrese (2022)
|
4
|
The path of movement and the possibility of conflict with pedestrians or cars
|
Castiglione et al. (2022), Kazemzadeh, Haghani, & Sprei (2023),
Deveci et al. (2022), Esztergár-Kiss and Lopez Lizarraga (2021), Moinse (2022), Abolhassani, Afghari & Borzadaran (2019), Hess & Schubert (2019), Karpinski, Bayles & Sanders (2022), Zhang et al. (2023), Dozza, Violin, and Rasch (2022), Cubells, Miralles-Guasch, Marquet (2023), Fitt and Curl (2020), Latinopoulos, Patrier, & Sivakumar (2021), Kutela & Mwekh'iga (2023), Tuncer et al. (2020), Boglietti et al. (2022)
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5
|
Social-natural
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Security issues (theft, etc.) and safety (increasing accidents, etc.) and the need for appropriate regulations
|
Dias and Ribeiro (2021), Zhang & Kamargianni (2022), Castiglione et al. (2022), Carracedo & Mostofi (2022), Kazemzadeh, Haghani, & Sprei (2023), Deveci et al. (2022), Esztergár-Kiss and Lopez Lizarraga (2021), Dozza et al. (2023), Mitra & Hess (2021), Truden et al. (2022), Sanders, Branion-Calles, & Nelson (2020), Posirisuk, Baker, & Ghajari (2022), Şengül and Mostofi (2021), Karpinski, Bayles & Sanders (2022), Lanza, Burford, and Ann Ganzar (2022), Mayhew and Bergin (2019), Gössling (2020), Zhang et al. (2021), Zhang et al. (2023), Bozzi and Aguilera (2021), Dozza, Violin, and Rasch (2022), Vetturi et al. (2023), Yang et al. (2020), Useche et al. (2022), Tice (2019), Abouelela, Al Haddad, & Antoniou (2021), Ignaccolo et al. (2022), ), D’Andreagiovanni, Nardin, & Carrese (2022), Fitt and Curl (2020), Kutela & Mwekh'iga (2023), Tuncer et al. (2020), Boglietti et al. (2022), Aman and Smith-Colin (2021), Aguilera-García, Gomez & Sobrino (2020), Serra et al. (2021), Pazzini et al. (2022), Fearnley (2020), Martin (2022), He et al. (2021), Ferreira Serra et al. (2022), Ma et al. (2021), López-Dóriga et al. (2022), Mehdizadeh, Nordfjaern, & Klöckner (2023), Zhu et al. (2020), Haworth, Schramm, & Twisk (2021), Ma, Yang, Ma (2021), Wang et al. (2021), Almannaa et al. (2021)
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6
|
Issues in bad weather conditions
|
Zhang & Kamargianni (2022), Sanders, Branion-Calles, & Nelson (2020), Zhu et al. (2020), Noland (2021)
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7
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Cultural-social Issues
|
Eccarius & Lu (2020), Carracedo & Mostofi (2022), Esztergár-Kiss and Lopez Lizarraga (2021), Dozza, Violin, and Rasch (2022), Fitt and Curl (2020), Tokey, Shioma, & Jamal (2022), Alharthi et al. (2021)
|
Figure 6 shows the frequency distribution of advantages and disadvantages of micromobility. In the literature, more attention is paid to the advantage of replacing use of personal cars with micromobility and increasing the use of public transportation and, as a result, reducing energy consumption and pollution. Safety issues caused by shared paths with other transportation and pedestrians and the lack of proper infrastructure are among the most important disadvantages.
Question 6: The main role of micromobility in relation to other modes of urban transportation
Regarding the main role of micromobility in relation to other modes of urban transport such as public and personal transport; More studies have studied its complementary role. For example, Oeschger, Carroll, and Caulfield (2020) state that micromobility is a means of accessing public transportation that has the potential to replace private cars if this integration is established. Liao and Correi (2022) state that the impact of each shared e-transportation mode is expected to be influenced by other e-sharing modes due to their complementarity. Schwinger et al. (2022) showed that micromobility services are especially used in situations where public transport is not a good substitute, so they often complement public transport. This ambivalent relationship between micromobility and public transport emphasizes the need for appropriate regulations and policies to ensure the sustainability of micromobility services. They state that micromobility infrastructure usually should be near public transport stations. For example, for e-bikes and e-scooters, the nearest public transport station is often no more than 350 meters from the origin or destination of micromobility trips. Luo et al. (2021) state that in the city center about 27% of e-scooter trips can potentially compete with the bus system, while outside the city center where bus coverage is low, e-scooters can complement the bus in about 29%. In other words, changing the position of electronic scooters in areas with limited bus services can better promote the synergistic connection between these two systems. However, based on the various applications of micromobility, it can be said that micromobility is a complement to public transportation. Although it can be used independently for entertainment and doing personal and business affairs. Fan and Harper (2022) state that micromobility represents a significant opportunity to replace short trips with personal vehicles (0-3 miles) and reduce pollution in the transportation sector. They estimate that up to 18% of short car trips could be replaced by micromobility. Micromobility can reduce traffic on congested roads, and large-scale bikeway deployments can maximize traffic benefits, but their impacts on energy consumption and emissions are disproportionately small. Sanders and Karpinski (2023) investigate the interactions and potential effects between autonomous vehicles and micromobility and state that these two can complement and replace the current personal cars. Table 8 shows the different roles of micromobility.
Table 8. Roles of Micromobility
No.
|
Role
|
Name of authors (year of publication)
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1
|
Complementary to and or replacing public transportation
|
Oeschger, Carroll, and Caulfield (2020), Dias and Ribeiro (2021), Zhang & Kamargianni (2022), MacKenzie (2019), MacKenzie (2020), Kazemzadeh & Sprei (2022), Bai & Jiao (2020), Ecer et al. (2023), Diallo, Gloriot, & Manout (2023), Luo et al. (2021), Liu & Miller (2022), Li et al. (2022), Coretti Sanchez, Alonso Pastor, & Larson (2022), Zhang, Guo, & Feng (2022), Truden et al. (2022), Abduljabbar, Liyanage, & Dia (2022), Moinse (2022), Nigro et al. (2022), Jiao, Lee, & Choi (2022), Yang et al. (2022), Ignaccolo et al. (2022), Qian, Jaller, and Niemeier (2020), Latinopoulos, Patrier, & Sivakumar (2021), Aman and Smith-Colin (2021), Ma et al. (2022), Baek et al. (2021), Liao and Correi (2022), Chicco & Diana (2022)
|
2
|
Alternative to personal vehicle
|
Dias and Ribeiro (2021), Cardell & Moller (2020), Fan and Harper (2022), Orozco-Fontalvo et al. (2022), Zhang & Kamargianni (2022), Castiglione et al. (2022), Reck, Martin, & Axhausen (2022), Comi, Polimeni, and Nuzzolo (2022), MacKenzie (2020), Kazemzadeh & Sprei (2022), Carracedo & Mostofi (2022), Krauss, Reck, & Axhausen (2023), Turoń & Kubik (2022), Bai & Jiao (2020), Diallo, Gloriot, & Manout (2023), Mitra & Hess (2021), Coretti Sanchez, Alonso Pastor, & Larson (2022), Şengül and Mostofi (2021), Kutela & Mwekh'iga (2023), Aman and Smith-Colin (2021), Hardt and Bogenberger (2019), Sanders and Karpinski (2023), Van Den Heuvel, Kao, & Matyas (2020)
|
3
|
Independently as a means of private or public (shared) transportation
|
Štefancová et al. (2022), Almannaa et al. (2021),
|
4
|
As a means of crowdshipping
|
Castiglione et al. (2022), He et al. (2021), Carracedo & Mostofi (2022), Schomakers et al. (2022)
|
In Figure 7, it is clear that the biggest role of micromobility in cities is as a supplement to public transportation and then as a substitute for public transportation or by car.
In explaining the position of micromobility in future cities, 4 types of cities are mentioned in the studies, which are: livable city, sustainable and environmentally friendly city, economic and competent city and smart and innovative city. According to Figure 8, micromobility have been mostly associated with livable city, a city that provides comfort and flexibility for humans and their movement with the least pollution. On the other hand, less studies have paid attention to the technological dimension and smartness of micromobilities.
Question 7: Current market trend and its future forecast
In relation to the current market trend and its future forecast, although most of the articles have used the reports of various organizations such as The National Association of City Transportation Officials (NACTO), Precedence Research based in Canada and India, Allied Market Research, etc. but some articles such as Oeschger, Carroll, and Caulfield (2020) and Huo et al. (2021) state that micromobility has exponential growth in urban mobility. Galatoulas et al. (2020) showed that Bicycle Sharing Systems in the world have increased from 17 programs in 2005 to more than 2900 programs in 2019. Since the emergence of the term micromobility, the trend of these programs is exponential. According to chart 9 and based on the report of The National Association of City Transportation Officials (NACTO), the number of scooter and bicycle sharing trips in the United States grew by 286% between 2018 and 2019. In 2018, people took 84 million shared micromobility trips in the United States, more than double the number of trips taken in 2017. According to Figure 10, most of the growth in micromobility has been due to the growth in the use of shared scooters that started in 2018 (Report The National Association of City Transportation Officials (NACTO), 2018).
Analyzing the use of micromobility by days of the week and hours of the day shows that annual subscription holders are more likely to use micromobility during busy hours, which indicates that they use this system for business trips (commuting). People who bought one-day or one-day tickets, as well as scooter riders, use this device more in the middle of the day and on weekends and for a longer period of time, which indicates social use, shopping use and recreational purposes (Figure 11). Hosseinzadeh et al. (2021) state in their study that Mondays, Thursdays, Fridays, and Saturdays increased the use of e-scooters and bike sharing, although Tuesdays and Wednesdays only saw a significant increase in bike sharing.
The micromobility market forecast shows that the largest market for this device is the Asia Pacific market and the fastest growing market is North America (precedenceresearch site). According to chart 12, the compound annual growth rate of this market is projected to be 17% until 2030.
According to the forecast, bicycles will have the largest market share and young people aged 15 to 34 will be the most users of micromobility (Figure 13).
To summarize, as the results of Choi, Kim, & Seo (2023) showed, the use of micromobility has had a relatively stable travel pattern despite the Covid-19 pandemic, which indicates the possibility of micromobility being accepted as the future urban transportation.