Searched for: author%3A%22Van+Lint%2C+J.W.C.%22
(1 - 20 of 20)
document
de Ruijter, A.J.F. (author), Cats, O. (author), van Lint, J.W.C. (author)
Limited available market share data seems to suggest that ridesourcing platforms benefit from, even thrive on, socio-economic inequality. We suspect that this is associated with high levels of socio-economic inequality allowing for cheap labour as well as increasing the share of travellers with a considerably above-average willingness to pay...
journal article 2024
document
de Ruijter, A.J.F. (author), Cats, O. (author), Kucharski, R.M. (author), van Lint, J.W.C. (author)
Contrary to traditional transit services, supply in ridesourcing systems emerges from individual labour decisions of gig workers. The effect of decentralisation in supply on the evolution of on-demand transit services is largely unknown. To this end, we propose a dynamic model comprising of the subsequent supply-side processes: (i) initial...
journal article 2022
document
Shelat, S. (author), Cats, O. (author), van Oort, N. (author), van Lint, J.W.C. (author)
Unreliable waiting times may cause frustration and anxiety amongst public transport travellers. Although the effect of travel time reliability has been studied extensively, most studies have used stated preferences which have disadvantages, such as an inherent hypothetical bias, or have analysed revealed preferences for road traffic. Here, we...
journal article 2022
document
Shelat, S. (author), Van De Wiel, Thijs (author), Molin, E.J.E. (author), van Lint, J.W.C. (author), Cats, O. (author)
Introduction Unlike previous pandemics, COVID-19 has sustained over a relatively longer period with cyclical infection waves and numerous variants. Public transport ridership has been hit particularly hard. To restore travellers' confidence it is critical to assess their risk determinants and trade-offs. Methods To this end, we survey train...
journal article 2022
document
Shelat, S. (author), Cats, O. (author), van Lint, J.W.C. (author)
Although waiting times are inherently uncertain in public transport networks, previous research has primarily studied route choice behaviour under risk. Since understanding such behaviour is important to correctly model network flows and gain better understanding of traveller satisfaction, we propose a method to assess travellers’ route...
journal article 2021
document
Krishnakumari, P.K. (author), Cats, O. (author), van Lint, J.W.C. (author)
The biggest challenge of analysing network traffic dynamics of large-scale networks is its complexity and pattern interpretability. In this work, we present a new computationally efficient method, inspired by human vision, to reduce the dimensions of a large-scale network and describe the traffic conditions with a compact, scalable and...
journal article 2020
document
Krishnakumari, P.K. (author), Cats, O. (author), van Lint, J.W.C. (author)
Smart card data enables the estimation of passenger delays throughout the public transit network. However, this delay is measured per passenger trajectory and not per network component. The implication is that it is currently not possible to identify the contribution of individual system components – stations and track segments – to overall...
journal article 2020
document
Cats, O. (author), Vermeulen, A.A.J. (author), Warnier, Martijn (author), van Lint, J.W.C. (author)
The development of metropolitan public transport networks often involves choosing between investing in extending radial lines or constructing ring connections. While the former enlarges network coverage the latter enhances network connectivity and reduces the need to perform detours. Moreover, investments might be better directed at...
journal article 2020
document
Krishnakumari, P.K. (author), van Lint, J.W.C. (author), Djukic, T. (author), Cats, O. (author)
The fundamental challenge of the origin-destination (OD) matrix estimation problem is that it is severely under-determined. In this paper we propose a new data driven OD estimation method for cases where a supply pattern in the form of speeds and flows is available. We show that with these input data, we do not require an iterative dynamic...
journal article 2020
document
Shelat, S. (author), Cats, O. (author), van Oort, N. (author), van Lint, J.W.C. (author)
Identifying the set of alternatives from which travellers choose their routes is a crucial step in estimation and application of route choice models. These models are necessary for the prediction of network flows that are vital for the planning of public transport networks. However, choice set identification is typically difficult because...
conference paper 2019
document
Krishnakumari, P.K. (author), Cats, O. (author), van Lint, J.W.C. (author)
Graphs at different scales are essential tools for many transportation applications. Notwithstanding their relevance, these graphs are created and maintained manually for most applications, in both research and practice. In this paper, we develop a heuristic method for automatically generating multiscale graph representations without...
journal article 2019
document
Luo, D. (author), Cats, O. (author), van Lint, J.W.C. (author)
We present a pioneering investigation into the relation between passenger flow distribution and network properties in public transport systems. The methodology is designed in a reverse engineering fashion by utilizing passively measured passenger flow dynamics over the entire network. We quantify the properties of public transport networks using...
journal article 2019
document
Luo, D. (author), Cats, O. (author), van Lint, J.W.C. (author), Currie, Graham (author)
Network science offers powerful concepts and methods for studying complex systems, such as public transport networks. However, many existing studies on complex network analysis of public transport networks were primarily motivated to test network science concepts using real-life networks. Consequently, important properties related to public...
journal article 2019
document
Luo, D. (author), Cats, O. (author), van Lint, J.W.C. (author)
It has been rarely investigated in the field of public transport whether passenger ow can be explained by network topology. Based on the rich data sets from The Hague, The Netherlands, we conduct this study try- ing to shed light upon this question. The relation between passenger ow and topological measures in different public transport network...
conference paper 2018
document
Luo, D. (author), Bonnetain, L. (author), Cats, O. (author), van Lint, J.W.C. (author)
Obtaining load profiles of transit vehicles has remained as a difficult task for transit operators because of technical and financial constraints. Although a significant advance in transit demand and supply data collection has been achieved over the past decade, information related to load profiles at the vehicular level is either impossible...
journal article 2018
document
Krishnakumari, P.K. (author), Perotti, Alan (author), Pinto, Viviana (author), Cats, O. (author), van Lint, J.W.C. (author)
Large-scale network traffic analysis is crucial for many transport applications, ranging from estimation and prediction to control and planning. One of the key issues is how to integrate spatial and temporal analyses efficiently. Deep Learning is gaining momentum as a go-to approach for artificial vision, and transfer learning approaches allow...
conference paper 2018
document
Luo, D. (author), Cats, O. (author), van Lint, J.W.C. (author)
Transit networks are complex systems in which the passenger flow dynamics are difficult to capture and understand. While there is a growing ability to monitor and record travelers' behavior in the past decade, knowledge on network-wide passenger flows, which are essentially high-dimensional multivariate data, is still limited. This paper...
conference paper 2017
document
Luo, D. (author), Cats, O. (author), van Lint, J.W.C. (author)
So-called tap-in–tap-off smart card data have become increasingly available and popular as a result of the deployment of automatic fare collection systems on transit systems in many cities and areas worldwide. An opportunity to obtain much more accurate transit demand data than before has thus been opened to both researchers and practitioners....
journal article 2017
document
de Regt, K.L. (author), Cats, O. (author), van Oort, N. (author), van Lint, J.W.C. (author)
The public transport industry faces challenges in catering to the variety of mobility patterns and corresponding needs and preferences of passengers. Travel habit surveys provide information on overall travel demand as well as its spatial variation. However, that information often does not include information on temporal variations. By applying...
journal article 2017
document
Papacharalampous, A.E. (author), Cats, O. (author), Lankhaar, Jan-Willem (author), Daamen, W. (author), van Lint, J.W.C. (author)
Many of the transportation problems prevalent in urban areas culminate in large-scale events. Such events generate large multimodal flows that arrive and depart within short time intervals to constrained areas. Monitoring and managing big events pose a challenge for transport planners, operators, event organizers, and city officials. In this...
journal article 2016
Searched for: author%3A%22Van+Lint%2C+J.W.C.%22
(1 - 20 of 20)