Identifying Vehicle Preferences and System Requirements of
Potential Users of Shared Mobility Systems (SMS)
Maryna Pobudzei
a
, Katharina Wegner
b
and Silja Hoffmann
c
Institute of Transportation and Spatial Planning, Professorship for Intelligent, Multimodal Transportation Systems,
Munich University of the Federal Armed Forces, Werner-Heisenberg-Weg 39, 85577 Neubiberg, Germany
Keywords: Shared Mobility, Shared Mobility System, Shared Mobility Platform, Shared Vehicles, Sharing, Car-sharing,
Bike-sharing, Cargo Bike-sharing, Scooter-sharing, User Requirements.
Abstract: Shared mobility systems (SMS) enable short-term on-demand access to mobility without the costs and
responsibilities that come with vehicle ownership. A careful investigation of the motivation, values, and
barriers that different socio-demographic groups have towards SMS may shed light on the gaps that mobility
providers may still need to fill in order to attract broader population groups. The objective of this paper is an
investigation of the conditions under which potential users would adopt sharing services and which vehicles
they would prefer in the context of SMS. We explore (i) the willingness of individuals to use SMS, (ii) the
preferences of potential users regarding types of vehicles in SMS, and (iii) requirements towards the features
and design of SMS. We study the characteristics of potential users and non-users of SMS. Furthermore, we
associate socio-demographic and travel behavior attributes of potential users to their SMS preferences and
requirements. These effects might be a valuable source of knowledge for tailored system designs and setups
for SMS providers. By working with audience segmentation, SMS communicators may develop persuasive
messages customized for each group.
1 INTRODUCTION
Shared mobility systems (SMS) enable users to have
short-term access to transportation modes on an as-
needed basis (Karbaumer & Metz, 2021; Shaheen et
al., 2017; Tangerine, 2021). In recent years, free-
floating services, where a vehicle can be parked after
usage within a given service area, have spread
internationally and are steadily gaining momentum
(Abouelela et al., 2021; Ramos et al., 2020). Several
environmental, social, and transportation-related
impacts have been attributed to SMS (Shaheen &
Cohen, 2018). Commonly reported benefits are the
reduction of private vehicle ownership and the
extension of public transport catchment areas (Jochem
et al., 2020; Shaheen & Cohen, 2018; Tangerine,
2021). In addition, cost savings, increased economic
activities near multi-modal hubs, opportunities for trips
not previously possible via public transportation, and
an increase of active travel such as walking and cycling
are also among the expected effects (Ma et al., 2020;
Shaheen & Cohen, 2018).
a
https://orcid.org/0000-0002-3219-9144
b
https://orcid.org/0000-0001-6087-2482
c
https://orcid.org/0000-0002-0499-0342
The existing literature covers the characteristics of
users and non-users of SMS. Investigations of users
reported that SMS customers are generally well-
educated, younger adults between 21 45 years old,
with middle and upper income, no children, living in
urban built environments with limited access to
private cars (Bieliński & Ważna, 2020; Hinkeldein et
al., 2015; Khamissi & Pfleging, 2019; Nobis &
Kuhnimhof, 2019). Younger adults may be attracted
by SMS as they tend to be less car-oriented than
previous generations, keen on new technology, and
open towards alternative transportation means
(Winter et al., 2020). Considering that the current
users of SMS show specific socio-demographic
characteristics, such as young age and life in an urban
environment, it is evident that a large group of the
population has not been attracted to SMS yet. Other
populations, such as families, people taking care of
minor-aged children, those living in rural areas, or the
older population show according to research a
different mobility pattern and may thus have different
mobility requirements (Ramos et al., 2020;
226
Pobudzei, M., Wegner, K. and Hoffmann, S.
Identifying Vehicle Preferences and System Requirements of Potential Users of Shared Mobility Systems (SMS).
DOI: 10.5220/0011011600003191
In Proceedings of the 8th International Conference on Vehicle Technology and Intelligent Transport Systems (VEHITS 2022), pages 226-238
ISBN: 978-989-758-573-9; ISSN: 2184-495X
Copyright
c
2022 by SCITEPRESS Science and Technology Publications, Lda. All rights reserved
Romanowska et al., 2019). Therefore, a careful
investigation of motives and values that different
socio-demographic groups have towards SMS may
shed light on the gaps that mobility providers may
still need to fill to attract a wider population range.
Various motives and barriers underly the choice of
transport modes (Pripfl et al., 2009; Romanowska et
al., 2019). Pripfl and colleagues (2009) categorized
these factors into the two main groups: “purpose-
rational” and “social-emotional”. The purpose-rational
motives included user-friendliness, time, cost, comfort
(convenience, possibilities, and weather resistance
while traveling), availability, accessibility, and
reliability. The social-emotional factors were indepen-
dence, status, pleasure, privacy, absence of stress,
security, and environmental awareness. Ramos and
colleagues (2020) determined the motives to use SMS.
The researchers distinguished the accessibility of pick-
up locations of sharing vehicles near the workplace or
home, expenses reduction, sustainable traveling,
comfort when traveling, the convenience of having
access to the sharing vehicle in case of need, and
avoiding responsibilities with maintenance and repair
for the own vehicle. They identified several mobility
styles of users and non-users based on environmental
concerns, personal norms, and transport behavior. The
convenience of having a car only when needed and
avoiding private vehicle maintenance were among the
most selected motives among all mobility styles.
It is important to bear in mind the motives and
barriers of travel choice while designing SMS
features. The system should offer an easy, quick, and
user-friendly experience. In the past, billing,
retrieving access to the vehicle, and recording the trip
information were paperwork time-consuming
processes (Pawłowska, 2021). The recent shift
towards digital technologies enabled the widespread
adoption of SMS offers (Phillips, 2017). To utilize the
service, a person needs to hold a smartphone, a digital
payment account, a credit or debit card. These
prerequisites guarantee seamless reservations and
cashless payments (Mireia & Ribas, 2019). Damage,
cleanliness issues reporting, and driving license
validations also shifted to a smartphone app. This
functionality allows the user and provider to avoid
paperwork and offers spontaneous digital access to
sharing vehicles around the clock (Phillips, 2017).
Therefore, management of the online platform, its
optimization, and promotion are among the key
activities of SMS operators (Mireia & Ribas, 2019).
It is essential that the SMS platform is clear,
stable, and reliable (Stopka, 2014). Phillips (2017)
noted that if it takes more than 30 seconds to book a
vehicle, there is an increased possibility that the user
will terminate the booking process and abandon the
service. Thus, ease of use, personalization, user
effort, and performance can be identified as important
criteria to provide a good user experience (Wannow
et al., 2021). Though, the users of car-, bike-, or
scooter-sharing often need to become customers of
more than one service to cover all their transport
needs, as few providers offer multiple SMS from a
single platform (Mireia & Ribas, 2019). A user has to
be familiar with the multitude of applications which
could be time-consuming and incomprehensible.
Integrating a range of various vehicle types into one
platform could make the users aware of the available
alternatives and save time for the registration in
several applications (Mireia & Ribas, 2019).
The availability and reliability of sharing are
important to overcome the barriers to service
acceptance. Sanders and colleagues (2020) showed
that some people worry that the sharing equipment will
break or malfunction, the battery of the electric
vehicles will not be charged, or the vehicle will not be
available when needed. Barriers such as a vehicle
being hard to find when needed or sometimes broken
were more likely to be addressed by those who have
frequently used SMS (Sanders et al., 2020). To provide
a positive customer experience, the service provider
should maintain the fleet clean, charged, and function-
ing. Customer support is essential to resolve emerging
questions and issues (Pawłowska, 2021). When neces-
sary, the transportation means should be relocated to
maintain adequate availability (Sanders et al., 2020).
Perceived high fees are among the main barriers
for people that never used SMS (Bieliński & Ważna,
2020; Wannow et al., 2021). A further psychological
barrier is a lack of trust. For example, the COVID-19
pandemic significantly affected the safety perception
of the most (Nikiforiadis et al., 2020). More people
avoid using items that have been previously used by
others and do not believe, that SMS operators take the
necessary precaution measures (e.g. vehicle
disinfection) (Nikiforiadis et al., 2020). To improve
the image of SMS in the post-pandemic world, the
operators need to convince people that their vehicles
are safe to use. The use of self-cleaning materials to
cover the vehicles’ contact points, installing hand
sanitizer or disposable glove dispensers, optimizing
the frequency of equipment cleaning, or developing
innovative marketing campaigns to improve hygiene
practices could be among the strategies towards the
acceptance of SMS after COVID-19 (Awad-Núñez et
al., 2021; Gauquelin, 2020).
Motivation, values, and barriers towards SMS
were found in the literature. However, few studies
have investigated how users’ attributes are associated
Identifying Vehicle Preferences and System Requirements of Potential Users of Shared Mobility Systems (SMS)
227
with requirements towards SMS. We believe that
fulfilling the key requirements towards sharing is a
crucial factor to motivate individuals to use SMS.
Therefore, the objective of this paper is an
investigation of the conditions under which potential
users would adopt sharing services and which
vehicles they would prefer in the context of SMS. In
the following sections, we explore the preferences
and requirements towards vehicle types and features
of SMS, as well as their relationship with socio-
demographic and travel behavior. In this way, we aim
to contribute to research by characterizing potential
users and non-users of SMS, describe the preferences
for certain sharing vehicles, and explain requirements
towards SMS. With these insights, mobility providers
could improve their service and marketing strategies
to customize the business to various groups.
2 METHODOLOGY
2.1 Survey and Variables
To better understand the potential user preferences
and requirements for SMS, the data retrieved from a
broader online survey in Munich was used. The
questionnaire was distributed to respondents online
for one month starting February 2021 using SoSci
Survey (SoSci Survey, 2021). The participants had
access to the questionnaire in German through a web
link. The target population was the students and
personnel of Munich University of the Federal Armed
Forces (UniBw, 2021) between 18 and 68 years.
The broader survey was designed to understand
the daily transport choices, willingness to reduce car
use and choose alternative transport modes. The
questionnaire consisted of eight parts. On average, it
took 10 to 15 minutes to complete the questionnaire
which included questions on the (1) criteria for the
vehicle purchase, (2) frequencies, (3) reasons, and (4)
purposes of vehicle use, (5) attitudes towards
accessibility and connectivity via public and private
transport, (6) attitudes towards sharing and (7)
autonomous vehicles. (8) Socio-demographic
included data on age, gender, income, household size,
availability of children of minor age in a household,
higher level of education achieved, and occupation.
In the present study, the data on travel behavior and
socio-demographic were utilized (Table 1). Travel
behavior was described by the access to a car, access
to a bike, ownership of a seasonal public transport
ticket, and frequency of heavy items transportation.
Gender, age, minor-aged children in a household, and
income were selected as socio-demographic
descriptors. For each variable, the categories “I prefer
not to answer”, “No answer”, or “Not applicable”
were treated as missing values which affected the
number of valid cases for a particular indicator.
2.2 SMS Attitudes
Information about the general willingness to use SMS,
the preferences towards specific sharing vehicles, and
requirements towards SMS was collected.
Respondents were asked if they could imagine using
SMS in the future. They could select between the
options “I want to use sharing services in the future”
and “I don’t want to use sharing services in the future”.
Yet the question on the willingness to use SMS did not
specify the mode of service, as the goal was to find out
if the respondents are generally open to using SMS.
Subsequently, to find out which particular vehicles
people would use in the context of the SMS platform
(e.g. a smartphone app), the participants were asked to
select among several options: cars, bikes, cargo bikes,
and scooters. Multiple choices were possible. Finally,
the respondents were invited to state their comments,
preferences, and recommendations regarding the
design, features, and functions of SMS in free text
fields. The data was further processed to form
meaningful categories (Table 2). Depending on the free
text context, the expressions were assigned to the
categories of motives and barriers underlying mode
choices (Pripfl et al., 2009; Ramos et al., 2020). These
categories were user-friendliness, availability, price,
reliability and security, comfort and quality, and
environmental friendliness. Further categories were
formed based on the explicitly mentioned requirements
such as flexible pick-up and drop-off for sharing
vehicles, a wide operation radius of SMS, and a wide
range of vehicles in the sharing platform. The category
needed to be mentioned in at least 1 % of comments,
in order to be further investigated. Some respondents
mentioned multiple requirements, which were further
reflected in the dataset. If the expression indicated one
of the categories, the category was marked with “1”,
otherwise “0”. Some inputs, such as “Practical” or
“Functional”, were considered too vague to assign to
any category, therefore excluded from the further
analysis.
2.3 Statistical Analysis
2.3.1 Sample
To investigate the sample’s representativeness, the
characteristics were benchmarked against the latest
Munich Census for gender, age, and household size
VEHITS 2022 - 8th International Conference on Vehicle Technology and Intelligent Transport Systems
228
(Statistische Ämter des Bundes und der Länder,
2020), and income in Munich according to Kistler and
colleagues (2017) (Table 3).
2.3.2 Relationships
To explore the relationship between personal
characteristics, the willingness to use, and
requirements towards a sharing system, we computed
Table 1: Travel behavior and socio-demographic variables.
Type Variable Level Measure
Travel behavior
Public Transport
Season Ticket
1 – Don't own; 2 – Own Ordinal
Access to Car 1 – Never; 2 – Seldom; 3 – Often; 4 – Always Ordinal
Access to Bike 1 – Never; 2 – Seldom; 3 – Often; 4 – Always Ordinal
Transport of Heavy
Items
1 – Never; 2 – Seldom; 3 – Often; 4 – Always Ordinal
Socio-demographic
Gender
1 – Female
2
Male
Nominal
Age 1 – Younger than 20; 2 – 20 – 34; 3 – 35 – 49; 4 – 50 – 64; 5 – older than 65 Ordinal
Children of Minor
Age in Househol
d
1 – No; 2 – Yes Ordinal
Income
1 – less than 1000 €; 2 – 1000 € – 2000 €; 3 – 2000 € – 3000 €; 4 – 3000 €
4000 €; 5
4000 €
5000 €; 6
more than 5000 €
Ordinal
Table 2: Requirement categories and typical expressions of potential users of SMS.
Category Typical expressions
User-Friendliness
"Uncomplicated", "Flexible", "Easy to use", "Uncomplicated to use", "Easy to book",
"Easy to operate", "Easy to lend and return", "Simple billing", "Simple registration",
"Non-bureaucratic", "User-friendly mobile app", "Online reservation", etc.
Availability
"Availability", "Sufficiently available", "Quickly available", "Easily accessible",
"Available around the clock", "Always available", "Sufficiently number of available
vehicles", etc.
Price
"Cost-efficient", "Inexpensive", "Low cost", "Reasonable price", "Fair price", "Good
price", "Good price-quality value", "Not too expensive", "Affordable", etc.
Flexible Pick-up and Drop-off
"Drop-off at destination possible", "Drop-off and pick-up locations should be flexible",
"A sufficient number of pick-up and drop-off locations", "Flexible parking facilities",
"Free-floating use", "Decentralized pick-up and drop-off", etc.
Wide Operation Radius
"Important connections should be accessible", "Connection to public transit stops",
"Parking in rural areas", "Reasonable operation range", "Possible to use for recreation
(e.g. trip outside the city)", "Sufficiently large operation radius", etc.
Reliability & Security
"Reliable vehicles", "Possible to reserve a vehicle in advance", "Secure", "Insured
vehicles", "Resistant", etc.
Comfort & Quality
"Comfortable vehicle", "Comfort", "Possible to adjust the seat", "Cleanliness", "Clean",
“Disinfected”, “COVID-19 disinfection”, "Well-maintained vehicles", "Appropriate
quality of vehicles", "Good condition of vehicles", "Regular vehicle maintenance",
"Weatherproof, etc.
Range of Vehicles
"Large and varied offer of vehicles", "Vehicles for different use-cases (e.g. cargo bike,
bike, scooter)", "Vehicles, which I don't have myself, should be offered", "Diverse
choice", "Wide choice of vehicles", etc.
Environment-Friendliness
"Electric environmentally-friendly vehicles", "Environmentally friendly", "Sustainable",
etc.
Identifying Vehicle Preferences and System Requirements of Potential Users of Shared Mobility Systems (SMS)
229
the strength and direction of the association using
bivariate correlations. Depending on the
measurement of the variables (nominal or ordinal),
we used Spearman’s rank-order correlation (r
S
) for
pairs of ordinal variables and the point-biserial
correlation (r
pb
) for pairs of nominal and ordinal
variables. The software used was IBM SPSS Statistic
(IBM, 2021). For data exploration, we chose a
significance level of alpha less or equal to 5 %.
3 RESULTS
3.1 Sample
The collected data led to 877 responses. The
respondents were military (44.6 %) and civil (4 %)
students, military personnel (5.9 %), academic (22.8
%) and non-academic (14.8 %) employees, and
professors (7.9 %) of Munich University of the
Federal Armed Forces. A percentage of 45.2 % of
survey participants lived in accommodations on the
campus territory, of which 91.2 % were students. All
military students in our sample were paid for military
service. The sample demographics are presented in
Table 3. The median age group was between 20 and
34; the median income was 2000 3000 . On
average, the sample household consisted of 2 people.
The majority (62.1 %) of respondents were men.
Entries that fell into the categories “I prefer not to
answer” or “No answer” were marked as missing and
excluded from the valid percentage. The dataset
reflects some limitations in representativeness
compared to Munich inhabitants. More than half of
the respondents were active military members.
Females, individuals under 20 and over 65 were
underrepresented. The respondents reflected a much
higher percentage of individuals between 20 and 34
years with net income 2000 – 3000 €. These socio-
demographic characteristics, however, correspond to
the attributes of typical SMS users (Liao & Correia,
2020).
3.2 Willingness to Use SMS
A total of 805 respondents gave a valid response
about their future intent to use sharing. A percentage
of 78 % was rather open towards SMS in the future.
A percentage of 22 % did not plan to try it.
Correlations were run to determine the relationship
between the willingness to use SMS, travel behaviour
(ownership of a season ticket for public transport,
having access to a car, having access to a bike, need
to transport heavy items), and socio-demographic
(gender, age, minor-aged children in household,
income) (Figure 2). There was a statistically
significant positive correlation between willingness
to use SMS in the future and ownership of a season
ticket for public transport (r
S
= 0.105, n = 771, p =
0.004). Furthermore, having access to a car (r
S
= -
0.166, n = 770, p < 0.001), the need to transport heavy
items (r
S
= -0.101, n = 769, p = 0.005), and age (r
S
=
-0.091, n = 770, p = 0.012) negatively correlated with
the willingness to use SMS, which was statistically
significant. In contrast, there was no significant
relationship between the willingness to use SMS in
the future, bike access (r
S
= 0.033, n = 764, p = 0.361),
gender (r
pb
= -0.007, n = 765, p = 0.909), children of
minor age in a household (r
S
= -0.084, n = 429, p =
0.081), and income (r
S
= -0.019, n = 717, p = 0.616).
3.3 Vehicles for SMS
To investigate preferences towards SMS vehicles and
requirements towards SMS as described in the
following two sections, the dataset was narrowed to
those respondents who reported willingness to use
SMS. This led to 630 valid responses. The
respondents were asked which types of vehicles they
would use in the context of the SMS platform (e.g.
comprehensive smartphone app). The participants
could select multiple options among cars, bikes, cargo
bikes, and scooters. The majority selected cars (62 %)
and bikes (54 %), followed by scooters (46 %). Cargo
bikes were selected by 24 percent (Figure 1). A
correlation was applied to assess relationships
between vehicle preferences and characteristics of
individuals willing to use SMS (Figure 2). There was
a statistically significant positive correlation between
gender (r
pb
= 0.118, n = 603, p = 0.004) and car as a
preferred SMS option, meaning that men were more
likely to choose car-sharing compared to women. The
lower the income, the more people tended to opt for
cars in SMS (r
S
= -0.113, n = 571, p = 0.007). People
having access to a bike (r
S
= -0.082, n = 604, p =
0.045) did not tend to choose bikes as SMS option.
However, sharing cargo bikes were preferred by those
having access to a bike (r
S
= 0.116, n = 604, p = 0.004)
and households’ members with minor-aged children
(r
S
= 0.178, n = 338, p = 0.001). Statistically
significant negative correlations were found between
the choice of scooter-sharing, ownership of public
transport seasonal ticket (r
S
= -0.156, n = 607, p <
0.001), and age (r
S
= -0.102, n = 607, p = 0.012).
VEHITS 2022 - 8th International Conference on Vehicle Technology and Intelligent Transport Systems
230
Table 3: Sample demographic compared to Munich Census and Kistler et al. (2017).
N = 877 Participants Valid percent Benchmark Valid percent
vs. Benchmark
Gender Female
Male
Other
Invalid answe
r
221 (25.2 %)
545 (62.1 %)
3 (0.3 %)
108 (12.3 %)
28.7 %
70.9 %
0.4 %
-
48.3 %
51.7 %
-
-
- 20 %
+ 19 %
+ 0.4 %
-
Age Younger than 20
20 – 34
35 – 49
50 – 64
65 or Older
Invalid answe
r
17 (1.9 %)
516 (58.8 %)
126 (14.4 %)
102 (11.6 %)
10 (1.1 %)
106 (12.1 %)
2.2 %
66.9 %
16.3 %
13.2 %
1.3 %
-
18 %
25 %
22 %
18 %
17 %
-
- 16 %
+ 42 %
- 6 %
- 5 %
- 16 %
-
Household size 1
2
3
4
5+
Invali
d
answe
r
90 (10.3 %)
173 (19.7 %)
68 (7.8 %)
79 (9.0 %)
21 (2.4 %)
446
(
50.9 %
)
20.9 %
40.1 %
15.8 %
18.3 %
4.9 %
-
50 %
29 %
11 %
7 %
3 %
-
- 29 %
+ 11 %
+ 5 %
+ 11 %
+ 2 %
-
Monthly net
income
Up to 1000 €
1000 € – 2000 €
2000 € – 3000 €
More than 3000 €
Invali
d
answe
r
11 (1.3 %)
104 (11.9 %)
443 (50.5 %)
160 (18.2 %)
159 (18.1 %)
2 %
14 %
62 %
22 %
-
7.9 %
30.8 %
26.8 %
34.6 %
-
- 6 %
- 17 %
+ 35 %
- 13 %
-
Figure 1: Preferred vehicles and requirements towards SMS.
Identifying Vehicle Preferences and System Requirements of Potential Users of Shared Mobility Systems (SMS)
231
Figure 2: Statistical significance and correlation coefficients.
VEHITS 2022 - 8th International Conference on Vehicle Technology and Intelligent Transport Systems
232
Significant positive correlation was between those
who have an access to a car and scooter-sharing
choice (r
S
= 0.176, n = 607, p < 0.001). This could be
interpreted that public transport users and older
people were unlikely, and private car users were
likely to choose scooters in the context of SMS. In
addition, there was a significant negative correlation
between gender (r
pb
= -0.098, n = 603, p = 0.016) and
the choice of bike-sharing, implicating that women
were more likely to choose sharing bikes than men.
3.4 Expectations and Requirements
towards SMS
The free-text requirements towards SMS were
interpreted and decomposed into several categories
(Table 2). The most frequently mentioned
requirements towards SMS were user-friendliness,
availability, and reasonable price (Figure 1).
Requirements such as wide operation radius of the
mobility system, flexible pick-up and drop-off
locations for the sharing vehicles, reliability, and
security of the system and vehicles were mentioned
by roughly 7 %. The respondents stated that sharing
vehicles should be well-maintained, clean, and
comfortable. For further analysis, these expressions
were coded as “Comfort & Quality”. 3 % of potential
users mentioned that they would benefit from a
combination of various vehicles in the sharing system.
Environmental friendliness was also among the factors
which motivate some people (2 %) to use SMS.
Travel behavior and socio-demographic were
correlated with the categories of requirements towards
SMS (Figure 2). The correlation revealed that those
who did not need to transport heavy items were likely
to state that SMS should feature flexible vehicle pick-
up and drop-off areas (r
S
= -0.082, n = 606, p = 0.044).
The significant negative correlation depicted that
women were more concerned about the reliability and
security of the system than men (r
pb
= -0.100, n = 603,
p = 0.014). The statement that sharing systems should
have a wide operation radius positively correlated with
the age of respondents (r
S
= 0.142, n = 607, p < 0.001).
Respondents who live in households with minor-aged
children pointed out that SMS should include various
types of sharing vehicles (r
S
= 0.130, n = 338, p =
0.017). The lower-income population seemed to be
more concerned about the comfort and good quality of
the vehicles in the sharing system (r
S
= -0.110, n = 571,
p = 0.008) than higher-income individuals. No
significant relationships with travel behavior and
socio-demographic were found for requirements such
as user-friendliness, availability, price, and
environment-friendliness.
4 DISCUSSION
This study explored the willingness to use SMS, the
preferences of potential users regarding types of
vehicles in SMS, and requirements towards SMS. The
data was collected via a stated preference survey in
Munich where SMS is widely available and various
sharing vehicles are already present on the
streetscape. The survey respondents formed a sample
drawn from the Munich University of the Federal
Armed Forces, namely military and civil students,
military personnel, academic and non-academic
employees, and professors. Regarding the willingness
to use SMS, about two out of three respondents were
eager to use these mobility options. This relatively
high percentage corresponds to a German-wide
affinity for sharing in the mobility sector (Fischlein,
2019). Furthermore, we analyzed how travel behavior
and socio-demographic correlated with the eagerness
to use SMS. The results show that the possession of a
season ticket for public transport, car accessibility,
the need to transport heavy items, and age had
significant effects on the intention to use SMS. In our
study, younger people were more eager towards SMS
than older ones. This complies with the findings that
SMS users are young individuals of 21 45 years
(Bieliński & Ważna, 2020; Ramos et al., 2020). As
we found a positive correlation between the
ownership of season tickets for public transport and
willingness to use SMS, we assume that people who
regularly use public transport are potential SMS
users. Previous studies also stated that compared to
the general population, users of SMS are relatively
heavy users of public transport (Franckx & Mayeres,
2016; Torrisi et al., 2021). These findings depict the
association of public transport and SMS user groups.
People having access to a car and the need to
transport heavy items tended to be less willing to use
SMS. This corresponds to previous findings that a
great part of SMS users live in carless households
(Bieliński & Ważna, 2020; Zolfaghari et al., 2014).
Previous research has shown that those who own or
regularly have access to a car may also have strong
emotional bonds with their cars and that the
associated self-identity may prevent people from
using SMS (Coleman, 2015; Sheller, 2004). The
survey by Khamissi & Pfleging (2019) indicated that
the concept of SMS lacks the perception of individual
freedom. Possible waiting times and restricted vehicle
availability affect the feeling of one’s flexibility
(Khamissi & Pfleging, 2019). We assume that these
factors could play a role in the decision-making of
those who need to transport heavy items. These
people may rely on private or company vehicles for
Identifying Vehicle Preferences and System Requirements of Potential Users of Shared Mobility Systems (SMS)
233
transport. These findings imply that it might be
challenging for a sharing provider to convince those
who depend on private cars to use SMS.
To study which vehicle types are preferred in the
context of SMS, we analyzed the responses of people
willing to use SMS in the future. Men and lower-
income individuals tended to choose cars as a part of
a sharing system. Previous studies also revealed that
car-sharing services are mostly used by men
(Kawgan-Kagan & Popp, 2018). The tendency that
people with lower income opted for cars to be a part
of SMS could be associated with lower car access and
ownership rates among this group (Karen et al.,
2019). We assume that these individuals might have
unfulfilled mobility needs which are associate with
car use. In this case, car-sharing could be a suitable
mobility solution offering access to a car without the
costs for vehicle purchase, insurance, and
maintenance.
Bikes for SMS were likely to be chosen by
women rather than by men. Previous studies,
however, identified the gender gap in bike usage
(Gorrini et al., 2021; Hosford & Winters, 2019;
Prang, 2017). Gorrini and colleagues (2021) showed
that women use bike-sharing services less than men.
We assume, biking and bike-sharing services already
gained an essential positive image and acceptance
among women in Munich. In similar environments,
women are potential bike-sharing users. Consistent
with previous studies (Winters et al., 2019), people
having access to a bike did not associate with the
potential bike-sharing users.
Cargo bikes as a part of SMS were selected in 24
% of the cases, which is way less comparing to the
choices of cars, bikes, and scooters. Cargo bike-
sharing is not yet widely established in Munich and a
few people have experience using cargo bikes. In our
study, the potential users of cargo bikes were people
who have access to a bike and households with minor-
aged children. Becker and Rudolf (2018) reported a
high percentage of experienced cyclists and
households having children under 18 years among the
power users of cargo bike-sharing. In Europe, cargo
bikes are gaining popularity and becoming an
attractive alternative for families with children
(Behrensen & Sumer, 2020). SMS providers may
consider including cargo bikes in their fleets to make
their services more attractive to households with
children.
Older adults were unlikely to choose scooters in
the context of SMS. Consistent with the previous
findings (Abouelela et al., 2021; Bieliński & Ważna,
2020; Sanders et al., 2020), potential scooter-sharing
users are rather young. The scooter-sharing operators
have attracted the car-less population who either walk
or take public transport to go to their destination
(SFMTA, 2019). However, in our study, public
transport users were unlikely and those who had
access to a car were likely to choose scooters to be
included in SMS. This might be due to the
contradictory image of scooters and recent debates
about their usefulness and environment-friendliness
(Carter, 2021).
We also identified the user requirements towards
sharing and associated attributes of potential SMS
users. This kind of segmentation is a valuable source
of knowledge for marketing strategies for SMS
providers tailored to attract more users. By working
with audience segmentation, SMS providers may
develop framings that increase the salience of the
message for each group and, therefore, be more
persuasive. The SMS requirements that were
prominent in the present study were user-friendliness,
availability, reasonable price, flexible pick-up and
drop-off for vehicles, wide operation radius,
reliability, security, comfort, good quality, a wide
range of vehicles in SMS, and environment-
friendliness. In this study, no significant relationships
were found between requirements such as user-
friendliness, availability, price, and environment-
friendliness, and potential SMS user attributes.
Concerning significant correlations, women
emphasized the importance of the reliability and
security of SMS more often than men. Gorrini and
colleagues (2021) studied women’s needs and
expectations as users of bike-sharing services. Results
showed that women were more concerned about
safety, security, and factors influencing the
perception of danger while cycling and using the
current bicycle infrastructures. In our case, the factor
of reliability and security were extracted from the
free-text comments including aspects such as the
possibility to reserve the vehicles in advance and
trouble-free functioning of the system. The
complexity of the terms complicates the comparison
with the previous studies. Respondents who live in
households with minor-aged children pointed out that
SMS should include various types of sharing
vehicles. We associated this with the increased
diversity of mobility needs related to parenting
(McFarland, 2017). Therefore, people who manage
complex family transportation may benefit from the
consolidated overview of diverse vehicle types under
one clear SMS platform.
In the present study, we found a significant
correlation between age and a requirement of a wide
operation radius. The younger the age, the more likely
people were to indicate this requirement towards a
VEHITS 2022 - 8th International Conference on Vehicle Technology and Intelligent Transport Systems
234
sharing system. It should be noted, that age correlated
with the place of living and, therefore, the distance
between home and work or study location. In our
sample, young respondents were students of which
the majority lived on campus (91.20 %). We believe
that the distance between the place of living, work,
and education is more likely to explain the tendency
to indicate a wide operation radius as a requirement
rather than age. In previous studies, people tended to
use SMS if there were vehicles available in
immediate proximity to their homes or workplaces
(Macioszek et al., 2020). In our sample, the people
who did not live on campus explicitly stated the
requirement of a wide operation radius. Furthermore,
there was a significant relationship between income
and the reported requirement of quality and comfort.
This also should be interpreted with caution. In our
sample, lower-income individuals were associated
with the group of students. However, 78 % of students
in our sample own a car which exceeds the percentage
of student car owners in the Munich sample. Having
constant access to a car has usually been motivated by
comfort (Belgiawan et al., 2011). The relationship
between income and comfort may thus be a
consequence of this sample.
The methodological design of this study has
several limitations. First, the data was collected in the
context of a university environment with a high
percentage of active military members. This might
imply deferring behavior patterns and habits
comparing to other populations. Another limitation
concerning the sample was the underrepresentation of
several population groups, namely people with lower
income, women, and the elderly. Without a diverse
group of individuals participating in the research, we
could not claim that the results may be applied to all
people equally. Furthermore, the data was extracted
from a broader survey, which did not explicitly target
shared mobility, and, therefore, included the
questions from other domains. This might affect the
response rates and engagement levels. Lastly, the
generalization of the present results may be limited
by the influence of the current local sharing offer.
Regarding the choice of vehicles for SMS and
requirements towards SMS, the respondents might
have been biased by previous SMS experience and
may have tended to choose vehicles that were already
well-established in Munich (car-, bike, and scooter-
sharing). In future studies, the preferences towards a
broader palette of vehicles could be explored (e.g.
motor rollers, electric and non-electric vehicles).
In this study, the preferences of people who stated
being willing to use SMS were analyzed. It might be
of interest to explore the demands and suggestions of
SMS non-users to study which barriers and
impediments they might have towards using SMS.
The comparison with the potential users might give
insights about SMS strategies towards inclusivity of
broader populations. In our analysis, we focused on
stated preferences rather than observed SMS use. In
the future, empirical data might be used to compare
the stated preference and revealed SMS use as
individuals’ stated choices may not correspond
closely to their actual preferences.
5 CONCLUSIONS
In the last decade, the functions and features of shared
mobility systems (SMS) have evolved from
complicated paperwork to easy and user-friendly
digital applications. Various SMS around the world
offer short-term on-demand access to mobility
without the costs and responsibilities of vehicle
ownership. The potential users of these services have
various motivations and values. They associate with
socio-demographic backgrounds, previous
experiences, and habits. The investigation of
conditions under which people would adopt sharing
services and which vehicles they prefer in the context
of SMS might be useful to mobility providers. With
this information, they could expand their services and
establish a business customized to various groups.
In this study, we explored several SMS aspects:
the willingness to use SMS, the preferences of
potential users regarding types of vehicles in SMS,
and requirements towards the design of SMS. We
used the data collected in Munich in the context of a
university environment with a high percentage of
active military members. The analysis of socio-
demographic and travel behavior showed that the
possession of season tickets for public transport, car
accessibility, need to transport heavy items, and age
had significant effects on the intention to use SMS.
Younger people and public transport users were keen
on SMS. People having access to a car and the need
to transport heavy items tended to be less willing to
use SMS.
We associated the people stating the willingness
to use sharing with the potential users of SMS and
targeted their responses for preferences and
requirements towards SMS. Cars, bikes, cargo bikes,
and scooters could be selected for the SMS platform.
Men and lower-income individuals tended to choose
cars as a part of a sharing system. Bikes for SMS were
likely to be chosen rather by women than men. We
assume that in environments where the positive image
of cycling and appropriate infrastructure is well-
Identifying Vehicle Preferences and System Requirements of Potential Users of Shared Mobility Systems (SMS)
235
established, bike-sharing gains broader acceptance
and popularity among women. The potential users of
cargo bikes were people who have access to a bike
and households with minor-aged children. SMS
providers may consider cargo bikes in their fleets to
make the service more inclusive and attractive to
households with children. Scooters were likely to be
chosen by younger adults and those who have access
to a car and avoided by public transport users.
We segmented free-text inputs into the
requirements towards SMS. The most mentioned
entries were user-friendliness, availability, and
reasonable price. Requirements such as wide
operation radius of SMS, flexible pick-up and drop-
off locations for the vehicles, reliability, security,
comfort, and quality of the vehicles, and the whole
system, combination of various vehicles in SMS, and
environmental friendliness were among the motives
to use SMS. Women emphasized the importance of
the reliability and security of SMS. This included
aspects such as the possibility to reserve the vehicles
in advance and trouble-free functioning of the system.
Households with minor-aged children may benefit
from the consolidated SMS platform while managing
transportation tailored to the multitude of locations
and needs. We also found a significant correlation
between age and the requirement of a wide operation
radius; income and the value of comfort and quality.
These findings, though, should be interpreted with
caution due to sample characteristics.
We believe that fulfilling the key requirements
towards sharing is a crucial factor to motivate
individuals to use SMS. Therefore, we investigated
the conditions under which potential users would
adopt sharing services and which vehicles they would
prefer in the context of SMS. Associating potential
user attributes to SMS preferences and requirements
might be a valuable source of knowledge for tailored
system designs and setups for SMS providers. By
working with audience segmentation, SMS
communicators may develop persuasive marketing
messages customized for each group. In future
studies, the demands of SMS non-users and the
preferences towards a broader vehicle palette might
be studied, and the stated preferences could be
compared with the actual use of SMS.
ACKNOWLEDGEMENTS
We express our gratitude to the research group (Ilona
Wichmann and Vivien Kunze), who designed and
conducted the survey used for this analysis. We are
thankful to the members of Munich University of the
Federal Armed Forces who provided the data for the
survey.
REFERENCES
Abouelela, M., Al Haddad, C., & Antoniou, C. (2021). Are
young users willing to shift from carsharing to scooter–
sharing? Transportation Research Part D: Transport and
Environment, 95, 102821. https://doi.org/10.1016/
j.trd.2021.102821
Awad-Núñez, S., Julio, R., Gomez, J., Moya-Gómez, B., &
González, J. S. (2021). Post-COVID-19 travel
behaviour patterns: Impact on the willingness to pay of
users of public transport and shared mobility services in
Spain. European Transport Research Review, 13(1), 20.
https://doi.org/10.1186/s12544-021-00476-4
Becker, S., & Rudolf, C. (2018). Exploring the potential of
free cargo bike-sharing for sustainable mobility. GAIA
- Ecological Perspectives for Science and Society,
27(1), 156–164. https://doi.org/10.14512/gaia.27.1.11
Behrensen, A., & Sumer, A. (2020). European cargo bike
industry survey. cargobike.jetzt. http://www.cycle
logistics.eu/market-size
Belgiawan, P. F., Schmöcker, J. D., & Fujii, S. (2011).
Psychological determinants for car ownership
decisions. The 16th International Conference of Hong
Kong Society for Transportation Studies (HKSTS).
Bieliński, T., & Ważna, A. (2020). Electric scooter sharing
and bike sharing user behaviour and characteristics.
Sustainability, 12. https://doi.org/10.3390/su12229640
Carter, A. (2021). More than 500 e-scooters lying on the
bottom of the Rhine in Cologne. IamExpat.
https://www.iamexpat.de/expat-info/german-expat-
news/more-500-e-scooters-lying-bottom-rhine-cologne
Coleman, K. A. (2015). Bicycles as objects: Identity,
attachment, and membership categorization devices.
University of Alberta.
Fischlein, M. (2019). Kaufst Du noch oder teilst Du schon?
- Zukunfts-Trend Sharing Economy. YouGov: What
the world thinks. //yougov.de/news/2019/10/14/kaufst-
du-noch-oder-teilst-du-schon-zukunfts-trend/
Franckx, L., & Mayeres, I. (2016). Future trends in
mobility: Challenges for transport planning tools and
related decisionmaking on mobility product and service
development. 55.
Gauquelin, A. (2020). Shared micromobility, rebooted.
Shared Micromobility. https://shared-micro
mobility.com/shared-micromobility-rebooted/
Gorrini, A., Choubassi, R., Messa, F., Saleh, W., Ababio-
Donkor, A., Leva, M. C., D’Arcy, L., Fabbri, F.,
Laniado, D., & Aragón, P. (2021). Unveiling women’s
needs and expectations as users of bike sharing
services: The H2020 DIAMOND Project.
Sustainability, 13(9), 5241.
https://doi.org/10.3390/su13095241
Hinkeldein, D., Schoenduwe, R., Graff, A., & Hoffmann,
C. (2015). Who would use integrated sustainable
mobility services And why? In Sustainable Urban
VEHITS 2022 - 8th International Conference on Vehicle Technology and Intelligent Transport Systems
236
Transport (Vol. 7, pp. 177–203). Emerald Group
Publishing Limited. https://doi.org/10.1108/S2044-
994120150000007019
Hosford, K., & Winters, M. (2019). Quantifying the bicycle
share gender gap. Findings, 10802.
https://doi.org/10.32866/10802
IBM. (2021). IBM SPSS Statistics.
https://www.ibm.com/products/spss-statistics
Jochem, P., Frankenhauser, D., Ewald, L., Ensslen, A., &
Fromm, H. (2020). Does free-floating carsharing
reduce private vehicle ownership? The case of SHARE
NOW in European cities. Transportation Research Part
A: Policy and Practice, 141, 373–395.
https://doi.org/10.1016/j.tra.2020.09.016
Karbaumer, R., & Metz, F. (2021). A planner’s guide to the
shared mobility galaxy. SNKI.
Karen, L., Stokes, G., Bastiaanssen, J., & Burkinshaw, J.
(2019). Inequalities in mobility and access in the UK
transport system.
Kawgan-Kagan, I., & Popp, M. (2018). Sustainability and
gender: A mixed-method analysis of urban women’s
mode choice with particular consideration of e-
carsharing. Transportation Research Procedia, 31, 146–
159. https://doi.org/10.1016/j.trpro.2018.09.052
Khamissi, S. A. A., & Pfleging, B. (2019). User
expectations and implications for designing the user
experience of shared vehicles. Proceedings of the 11th
International Conference on Automotive User
Interfaces and Interactive Vehicular Applications:
Adjunct Proceedings, 130–134.
https://doi.org/10.1145/3349263.3351913
Kistler, E., Holler, M., Wiegel, C., Schiller, O., Jovcic, V.,
& Faik, J. (2017). Verteilung, Armut und Reichtum in
München—Expertise III zum Münchner Armutsbericht
2017. 76.
Liao, F., & Correia, G. (2020). Electric carsharing and
micromobility: A literature review on their usage
pattern, demand, and potential impacts. International
Journal of Sustainable Transportation, 1–30.
https://doi.org/10.1080/15568318.2020.1861394
Ma, X., Yuan, Y., Van Oort, N., & Hoogendoorn, S. (2020).
Bike-sharing systems’ impact on modal shift: A case
study in Delft, the Netherlands—ScienceDirect.
https://www.sciencedirect.com/science/article/pii/S095
9652620308933
Macioszek, E., Świerk, P., & Kurek, A. (2020). The bike-
sharing system as an element of enhancing sustainable
mobility—A case study based on a city in Poland.
Sustainability, 12(8), 3285. https://doi.org/10.3390/
su12083285
McFarland, J. (2017). Family transportation: A part-time
job. HopSkipDrive. https://www.hopskipdrive.com/
blog/child-transportation-logistics/
Mireia, G., & Ribas, I. (2019). Synergies between app-
based car-related shared mobility services for the
development of more profitable business models.
Journal of Industrial Engineering and Management, 12,
405. https://doi.org/10.3926/jiem.2930
Nikiforiadis, A., Ayfantopoulou, G., & Stamelou, A.
(2020). Assessing the impact of COVID-19 on bike-
sharing usage: The case of Thessaloniki, Greece.
Sustainability, 12(19), 8215. https://doi.org/
10.3390/su12198215
Nobis, C., & Kuhnimhof, T. (2019). Mobilität in
Deutschland—MID Ergebnissbericht.
Pawłowska, J. (2021). Customer service effectiveness
in shared mobility systems using artificial intelligence
algorithms. Springerprofessional.De.
https://www.springerprofessional.de/en/customer-
service-effectiveness-in-shared-mobility-systems-
using-/19110856
Phillips, S. (2017). The shared mobility user experience:
From the physical to the digital.
https://aqtr.com/association/actualites/shared-mobility-
user-experience-physical-digital
Prang, A. (2017). Five things you might not know about
Citi Bike. The Bridge. https://thebridgebk.com/five-
things-about-citi-bike/
Pripfl, J., Aigner-Breuss, E., Fürdös, A., & Wiesauer, L.
(2009). Emotionale und kognitive Mobilitätsbarrieren
und deren beseitigung mittels multimodalen
Verkehrsinformationssystemen.
Ramos, É. M. S., Bergstad, C. J., Chicco, A., & Diana, M.
(2020). Mobility styles and car sharing use in Europe:
Attitudes, behaviours, motives and sustainability.
European Transport Research Review, 12(1), 13.
https://doi.org/10.1186/s12544-020-0402-4
Romanowska, A., Okraszewska, R., & Jamroz, K. (2019).
A study of transport behaviour of academic
communities. Sustainability, 11(13), 3519.
https://doi.org/10.3390/su11133519
Sanders, R., Branion-Calles, M., & Nelson, T. (2020). 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, 139, 217–227.
https://doi.org/10.1016/j.tra.2020.07.009
SFMTA. (2019). Powered Scooter Share Mid-Pilot
Evaluation.
Shaheen, S., & Cohen, A. (2018). Impacts of shared
mobility. ITS Berkeley Policy Briefs, 2018(02).
https://doi.org/10.7922/G20K26QT
Shaheen, S., Cohen, A., & Zohdy, I. (2017). Shared
mobility resources: Helping to understand emerging
shifts in transportation. Policy Briefs, 2017(18).
https://doi.org/10.7922/G2X63JT8
Sheller, M. (2004). Automotive emotions: Feeling the car.
Theory Culture & Society - THEOR CULT SOC, 21,
221–242. https://doi.org/10.1177/0263276404046068
SoSci Survey. (2021). https://www.soscisurvey.de/
Statistische Ämter des Bundes und der Länder. (2020).
ZENSUS2011—Bevölkerungs- und Wohnungszählung
2011. https://www.zensus2011.de/
Stopka, U. (2014). Identification of user requirements for
mobile applications to support door-to-door mobility in
public transport. Human-Computer Interaction.
Applications and Services (Vol. 8512, pp. 513–524).
Springer International Publishing. https://doi.org/
10.1007/978-3-319-07227-2_49
Identifying Vehicle Preferences and System Requirements of Potential Users of Shared Mobility Systems (SMS)
237
Tangerine. (2021, March 24). Shared mobility and it’s
benefits. Fleet Management. https://tangerine.ai/blog/
safe-and-effective-fleet-management/
Torrisi, V., Ignaccolo, M., Inturri, G., Tesoriere, G., &
Campisi, T. (2021). Exploring the factors affecting
bike-sharing demand: Evidence from student
perceptions, usage patterns and adoption barriers.
https://doi.org/10.1016/J.TRPRO.2021.01.068
UniBw. (2021). Universität der Bundeswehr München.
https://www.unibw.de/
Wannow, S., Haupt, M., & Schleuter, D. (2021). Customer
value of shared mobility services Comparing the main
value drivers across two different sharing models and
public transport. Technische Hochschule Mittelhessen,
THM-Hochschulschriften Band 19, 50.
Winter, K., Cats, O., Martens, K., & van Arem, B. (2020).
Identifying user classes for shared and automated
mobility services. European Transport Research
Review, 12(1), 36. https://doi.org/10.1186/s12544-020-
00420-y
Winters, M., Hosford, K., & Javaheri, S. (2019). Who are
the ‘super-users’ of public bike share? An analysis of
public bike share members in Vancouver, BC.
Preventive Medicine Reports, 15. https://doi.org/
10.1016/j.pmedr.2019.100946
Zolfaghari, A., Polak, J., & Le Vine, S. (2014). Carsharing:
evolution, challenges and opportunities. 22th ACEA
Scientific Advisory Group Report.
VEHITS 2022 - 8th International Conference on Vehicle Technology and Intelligent Transport Systems
238