From Travel Time and Cost Savings to Value of Mobility

Kovacikova, Tatiana; Lugano, Giuseppe; Pourhashem, Ghadir

doi:10.1007/978-3-319-74454-4_3

Cited by 17 publications

(10 citation statements)

References 15 publications

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“…Value of travel time is highly variable, including a small portion of travel with very high time values, to a significant portion of travel with little or no cost, since travellers enjoy the experience and would pay nothing to reduce it (Kováčiková et. al.…”

Section: Resultsmentioning

confidence: 99%

Gender and Generation effects on Perception of Value of Travel Time and Mode Choice

Pourhashem¹,

Lugano²

2020

Preprint

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Women and men often do not experience equal mobility opportunities in their societies. Increasingly gender is being recognised to play a significant role in transport planning, particularly for addressing individual mobility needs in urban and rural areas. Recent advances in studying mobility behaviours (e.g., data collection through smartphone apps) also allow capturing data on activities done while travelling, as well as factors enhancing or degrading the people's travel experience. By understanding the link between female travellers' preferences, perceived values and behaviour, as well as experienced barriers, transport systems could be better tailored to women activity and mobility needs by putting the women perspective in centre stage. The objective of this paper is to present how the "Mobility and Time Value" (MoTiV) H2020 project addresses mobility value preposition differences across genders and generations in connection with cultural and social contexts in 8 EU countries.

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Section: Resultsmentioning

confidence: 99%

Gender and Generation effects on Perception of Value of Travel Time and Mode Choice

Pourhashem¹,

Lugano²

2020

Preprint

Self Cite

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“…The delay time is the most important parameter in terms of traffic quality. Travel time is one of the largest categories of transport costs, and saving time is often considered to be the largest benefit in transport projects such as road improvements and public transport [57]. Therefore, in the following section, we focus on the analysis of time loss.…”

Section: Traffic Parametersmentioning

confidence: 99%

The Effect of the COVID-19 Pandemic on Traffic Flow Characteristics, Emissions Production and Fuel Consumption at a Selected Intersection in Slovakia

et al. 2022

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The surveyof traffic intensity is used to obtain information on the number of vehicles on roads during the day. Subsequently, it is possible to derive from this the daily, weekly, and other road traffic intensity information. This survey represents the basis for the calculation of the annual average daily traffic volume and the basic characteristics of traffic flow. The COVID-19 pandemic has caused extensive economic and social damage around the world. These damages have also affected traffic. Changes in traffic behavior have mainly affected the reduction in traffic intensity on road networks. Thanks to the reduction in the demand for transport, there has also been a significant reduction in traffic delays, fuel consumption and emissions. An examination of changes in traffic intensity took place at a selected intersection in 2019, 2020 and 2021. This paper describes the effects of reducing the traffic intensity, fuel consumption and emissions obtained by microsimulation. The results obtained confirmed the reduction in traffic, which also contributed to a significant reduction in vehicle delays.

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“…The value of time includes costs to consumers of personal unpaid time spent on travel and costs to businesses of paid employee time spent while traveling [27]. In MoTiV, the value of travel time is analyzed from a traveler's perspective, assuming that time and cost savings are not always the main criteria influencing route and mode choice [24,26]. Depending on the traveler's transport attitude and context, other criteria such as environmental impact, comfort, or even weather conditions may influence the perceived value of a trip.…”

Section: Views On Value Of Travel Timementioning

confidence: 99%

Matching User Preferences and Behavior for Mobility

Basile¹,

Consonni

Manca

et al. 2020

Proceedings of the 31st ACM Conference on Hypertext and Social Media

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Understanding user mobility is central to develop better transport systems that answer users' needs. Users usually plan their travel according to their needs and preferences; however, different factors can influence their choices when traveling. In this work, we model users' preferences, and we match their actual transport use. We use data coming from a mobility platform developed for mobile devices, whose aim is to understand the value of users' travel time. Our first goal is to characterize the perception that users have of their mobility by analyzing their general preferences expressed before their travel time. Our approach combines dimensionality reduction and clustering techniques to provide interpretable profiles of users. Then, we perform the same task after monitoring users' travels by doing a matching between users' preferences and their actual behavior. Our results show that there are substantial differences between users' perception of their mobility and their actual behavior: users overestimate their preferences for specific mobility modes, that in general, yield a lower return in terms of the worthwhileness of their trip.

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From Travel Time and Cost Savings to Value of Mobility

Cited by 17 publications

References 15 publications

Gender and Generation effects on Perception of Value of Travel Time and Mode Choice

Gender and Generation effects on Perception of Value of Travel Time and Mode Choice

The Effect of the COVID-19 Pandemic on Traffic Flow Characteristics, Emissions Production and Fuel Consumption at a Selected Intersection in Slovakia

Matching User Preferences and Behavior for Mobility

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