What's Your Value of Travel Time? Collecting Traveler-Centered Mobility Data via Crowdsourcing

Consonni, Cristian; Basile, Silvia; Manca, M.; Boratto, Ludovico; Freitas, André Luís Policani; Kovacikova, Tatiana; Pourhashem, Ghadir; Cornet, Yannick

doi:10.1609/icwsm.v15i1.18119

Cited by 3 publications

(2 citation statements)

References 22 publications

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“…This type of model can keep improving the accuracy of the computation of user preferences. Consonni et al [45] collect travel-centered mobility data via crowdsourcing. The time spent on the travel is analyzed from a traveler's perspective: the user is asked which activities they have performed during the trip, and which factors have influenced their trip positively or negatively.…”

Section: Travelers' Preferencesmentioning

confidence: 99%

THOR: A Hybrid Recommender System for the Personalized Travel Experience

Sabet

Shekari

Guan

et al. 2022

BDCC

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One of the travelers’ main challenges is that they have to spend a great effort to find and choose the most desired travel offer(s) among a vast list of non-categorized and non-personalized items. Recommendation systems provide an effective way to solve the problem of information overload. In this work, we design and implement “The Hybrid Offer Ranker” (THOR), a hybrid, personalized recommender system for the transportation domain. THOR assigns every traveler a unique contextual preference model built using solely their personal data, which makes the model sensitive to the user’s choices. This model is used to rank travel offers presented to each user according to their personal preferences. We reduce the recommendation problem to one of binary classification that predicts the probability with which the traveler will buy each available travel offer. Travel offers are ranked according to the computed probabilities, hence to the user’s personal preference model. Moreover, to tackle the cold start problem for new users, we apply clustering algorithms to identify groups of travelers with similar profiles and build a preference model for each group. To test the system’s performance, we generate a dataset according to some carefully designed rules. The results of the experiments show that the THOR tool is capable of learning the contextual preferences of each traveler and ranks offers starting from those that have the higher probability of being selected.

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Section: Travelers' Preferencesmentioning

confidence: 99%

THOR: A Hybrid Recommender System for the Personalized Travel Experience

Sabet

Shekari

Guan

et al. 2022

BDCC

View full text Add to dashboard Cite

show abstract

“…Socio-demographic information, such as age, gender, residence, education, marital status, occupation, years of residence and number of household persons were also requested. For more information about the dataset composition, see [44]. Weather data were also gathered through the Application Programming Interface (API) of the OpenWeatherMap online service for the time periods of 09:00, 12:00, and 18:00 for each day in a set of 66 cities in eight campaign countries during the course of MoTiV data collection.…”

Section: Data Collection and Sample Descriptionmentioning

confidence: 99%

Gender Difference in Perception of Value of Travel Time and Travel Mode Choice Behavior in Eight European Countries

Pourhashem

Malichová

Piscová³

et al. 2022

Sustainability

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Women and men often do not experience equal mobility opportunities in their societies. Increasingly, gender is being recognized to play a significant role in transport planning, particularly for addressing individual mobility needs in urban and rural areas. By understanding the link between male and female travelers’ preferences, perceived values, and travel behavior, as well as experienced barriers, transport systems could be better tailored to women’s activities and mobility needs by putting the women’s perspective on center stage. Therefore, the objective of this paper is twofold: (1) to perform an in-depth analysis of women’s and men’s travel behavior to scrutinize the difference in perception of the value of travel time derived from travel experience using various transport modes and (2) to identify the significant factors influencing men and women’s travel behavior in terms of transport mode choice. The empirical analysis is based on a multinomial regression model of 1406 female travelers and 1486 male travelers in eight European countries. In regard to the subjective values associated with users’ perception of travel time worthwhileness, this research implies that the perception of enjoyable travel time and the perceived mood from the travel experience would increase the tendency of ridesharing and using private motorized modes of transport as a passenger among women. Results also demonstrate that women have a higher perception of the worthwhileness of travel time for walking compared to men using bicycle and micro-mobility systems and private motorized vehicles as a driver. Regarding public transport, a significant difference in the perceived worthwhileness of travel time between female and male users of public transport in the European urban areas was also discovered.

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Worthwhile travel time: a conceptual framework of the perceived value of enjoyment, productivity and fitness while travelling

et al. 2021

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By tradition, transport appraisal relies primarily on travel time savings and monetary values. Assessment tools rarely factor in the perspective of travellers in terms of their subjective travel experience while on the move. Worthwhile travel time introduces the idea that travel can be pleasant, meaningful or worthwhile and not exclusively associated with the economic utility of the activity at the destination of the trip and the work-related productivity during the trip. This paper explores how the "worthwhile use of travel time" can be conceptualised and unpacked, so that it can be adequately captured and integrated into transport appraisal practice. We reviewed the literature on worthwhile travel time and perceived travel experience in psychology, economics, public health and travel behaviour research and we formulated the conceptual framework of worthwhile travel time that is grounded on the traveller's perception of three forms of value emerging from existing literature: enjoyment, productivity, and health. Our conceptual framework of worthwhile travel time suggests that experience factors (i.e. travel conditions as experienced by the traveller) can enable travel activities (i.e. the trip itself or activities on-themove), which in turn unlock the values of enjoyment, productivity and fitness that influence the perceived worthwhileness of a trip to a different degree each. Additional (explanatory) factors such as the door-to-door trip characteristics, the traveller's personal characteristics and attitude, and the spatial and temporal conditions can also influence the perceived worthwhileness of a trip. On a policy level, the integration of the worthwhile travel time concept into transport appraisal practice could allow future transport investments to offer a better balance between reduced travel times and improved quality and experience of a trip for the traveller.

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What's Your Value of Travel Time? Collecting Traveler-Centered Mobility Data via Crowdsourcing

Cited by 3 publications

References 22 publications

THOR: A Hybrid Recommender System for the Personalized Travel Experience

THOR: A Hybrid Recommender System for the Personalized Travel Experience

Gender Difference in Perception of Value of Travel Time and Travel Mode Choice Behavior in Eight European Countries

Worthwhile travel time: a conceptual framework of the perceived value of enjoyment, productivity and fitness while travelling

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