Learning from the real practices of users of a smart carpooling app

Autor: Corinne Dionisio, Sonia Adelé
Přispěvatelé: Génie des Réseaux de Transport Terrestres et Informatique Avancée (COSYS-GRETTIA ), Université Gustave Eiffel
Jazyk: angličtina
Rok vydání: 2020
Předmět:
[SPI.OTHER]Engineering Sciences [physics]/Other
Smart carpooling
Matching (statistics)
Service (systems architecture)
Relation (database)
Computer science
USAGE DATA
Application
media_common.quotation_subject
Internet privacy
User practices
Transportation
02 engineering and technology
Usage data
Carpool
Practical
Interviews
Perception
11. Sustainability
0502 economics and business
0202 electrical engineering
electronic engineering
information engineering
media_common
050210 logistics & transportation
[INFO.INFO-DB]Computer Science [cs]/Databases [cs.DB]
business.industry
Mechanical Engineering
05 social sciences
lcsh:TA1001-1280
020207 software engineering
lcsh:HE1-9990
INTERVIEW
Automotive Engineering
USER PRACTICE
TRIPS architecture
lcsh:Transportation engineering
lcsh:Transportation and communications
business
Psychosocial
Zdroj: European Transport Research Review, Vol 12, Iss 1, Pp 1-14 (2020)
European Transport Research Review (ETRR)
European Transport Research Review (ETRR), 2020, 12, 14p. ⟨10.1186/s12544-020-00429-3⟩
ISSN: 1866-8887
1867-0717
DOI: 10.1186/s12544-020-00429-3
Popis: Aim This paper explores the real practices of users of a smart carpooling application that learns their mobility habits and predicts their future trips to propose relevant matches. Method A combination of usage data and interviews analysis allows us to explore the commuter experience from registration to the first and the next shared rides. Findings The results highlight the shortcomings associated with human factors in carpooling and with human-smart system interactions. They show that perceptions of practical constraints and poor counterparts are the major reasons for difficulty in incorporating carpooling into daily mobility. Psychosocial barriers take different forms at different steps of the carpooling experience (search for information or guarantees about other users, the necessity of conversing with others, much uncertainty about how to behave). The fact that the service is smart amplifies these problems and reduces the desire to carpool again because it creates new misunderstandings (i.e., the user does not understand what the system vs. the other users do) and discomfort in relation to other riders (no answer, too many refusals, necessity of refusing, negative carpool experience, or concern over proposing a bad carpool). Despite these difficulties, the users perceive carpooling as a good solution and a positive human experience when the matching is accurate. We propose some recommendations to overcome the identified difficulties.
Databáze: OpenAIRE
Externí odkaz:
Nepřihlášeným uživatelům se plný text nezobrazuje