Route choice modeling: past, present and future research directions

Prato, Carlo Giacomo

doi:10.1016/s1755-5345(13)70005-8

Cited by 373 publications

(209 citation statements)

References 82 publications

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“…In transportation models, modelling route choice behaviour is essential to forecast travellers' behaviour under hypothetical scenarios, to predict future traffic conditions on transportation networks and to understand travellers' reaction and adaptation to sources of information (Prato, 2009). An important limitation in both traditional four-step and present-day activity-based models is the fact that current route choice models have been developed largely in the absence of objective empirical evidence of actual route choices.…”

Section: Introductionmentioning

confidence: 99%

Modelling Route Choice Decisions of Car Travellers Using Combined GPS and Diary Data

et al. 2013

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The aim of this research is to identify the relationship between activity patterns and route choice decisions. The focus is twofold: on the one hand, the relationship between the purpose of a trip and the road categories used for the relocation is investigated; on the other hand, the relationship between the purpose of a trip and the deviation from the shortest path is studied. The data for this study were collected in 2006 and 2007 in Flanders, the Dutch speaking and northern part of Belgium. To estimate the relationship between the primary road category travelled on and the corresponding activity-travel behaviour a multinomial logit model is developed. To estimate the relationship between the deviation from the shortest path and the corresponding activity-travel behaviour a Tobit model is developed. The results of the first model point out that route choice is a function of multiple factors, not just travel time or distance. Crucial for modelling route choices or in general for traffic assignment procedures is the conclusion that activity patterns have a clear influence on the road category primarily driven on. Particularly, it was shown that the likelihood of taking primarily through roads is highest for work trips and lowest for leisure trips. The second model shows a significant relationship between the deviation from the shortest path and the purpose of the trip. Furthermore, next to trip-related attributes (trip distance), also socio-demographic variables and geographical differences play an important role. These results certainly suggest that traffic assignment procedures should be developed that explicitly take into account an activity-based segmentation. In addition, it was shown that route choices were similar during peak and off-peak periods. This is an indication that car drivers are not necessarily utility maximizers, or that classical utility functions in the context of route choices are omitting important explanatory variables.

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Section: Introductionmentioning

confidence: 99%

Modelling Route Choice Decisions of Car Travellers Using Combined GPS and Diary Data

et al. 2013

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“…For example, multiple routes available for a car trip, a PT trip, or a multimodal trip generally have a degree of overlap. This problem was discussed in the context of route choice (Prato 2009), but needs to be further developed for the proposed family of measures. A simple method could be that the overlap in travel options is corrected by adding a factor expressing the extent to which options are unique.…”

Section: Travel Optionsmentioning

confidence: 99%

Accessibility measures for robustness of the transport system

Liao

Wee

2016

Transportation

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Accessibility is a key concept in transport and land use policies, and infrastructure-based measures are one important category of accessibility measures. Recently, there has been a significant increase in the attention paid in both academic literature and policy documents to the robustness of the transport system. However, there is not a mature body of literature on the infrastructure-based accessibility measures expressing this concept. This paper proposes a family of accessibility measures to express the robustness of the transport system. These have in common that they express the number of travel options between a given origin and destination, or to conduct activities. The family of measures is conceptualized by using the multi-state supernetwork approach. With respect to the travel options, we discuss (1) the overlap of travel routes, and (2) the choices of travel modes (e.g. car versus train; multimodal). With respect to the activities, we discuss (1) the choice of OD pairs as opposed to activity-travel patterns, and (2) fixed versus flexible activity locations and fixed versus flexible order of activities. We illustrate the travel options and robustness in a multi-modal transport system between the city centers of the HagueRotterdam-Dordrecht corridor (The Netherlands).

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“…Advanced methods are proposed to address this issue, such as Path Size Logit (PSL) [1], CNL [2], mixed Logit (also called error component) [3],etc. Prato [4] provided a literature review on the most frequently used methodologies in route choice modelling. Recently, Fosgerau et al [5] proposed a recursive Logit model that does not require the enumeration of paths.…”

Section: Literature Reviewmentioning

confidence: 99%

“…Therefore, empirical approximation is often required. However, with a loss in behavioural interpretation [4]. The proposed subpath-based CNL model aims at capturing route choice behaviours by considering the travellers' conceptual correlation of routes.…”

Section: Motivation and Paper Structurementioning

confidence: 99%