Passengers preferences for using emerging modes as first/last mile transport to and from a multimodal hub case study Delft Campus railway station

Kachousangi, Fatemeh Torabi; Araghi, Yashar; Oort, Niels van; Hoogendoorn, Serge P.

doi:10.1016/j.cstp.2021.12.011

Cited by 34 publications

(11 citation statements)

References 48 publications

Supporting

Mentioning

Contrasting

Unclassified

Order By: Relevance

“…Compared to other forms of mobility, relatively little is known about the mode choice factors, travel patterns, perceptions and attitudes, and the potential modal shift associated with shared micromobility use. To comprehend the potential impact of this emerging service, it is essential to explore the varied usage patterns across different cities through user surveys and field data collection (Hong et al, 2023;Torabi K et al, 2022). Collecting survey data involves distributing a questionnaire within a designated service area.…”

Section: Literature Reviewmentioning

confidence: 99%

Exploration of Shared E-Scooter Adoption Determinants and Latent Factors ‎in Urban Settings Using Machine Learning

Jafarzadehfadaki,

Sisiopiku

2024

Preprint

View full text Add to dashboard Cite

E-scooters are a micromobility transportation option for completing short trips. In recent years, many ‎cities welcomed shared e-scooters in an effort to offer more mode choices, increase travelers' ‎convenience, and reduce automobile use in their service areas. However, a knowledge gap still remains ‎regarding the acceptability of shared e-scooters as a transportation option, which motivates additional ‎research on user and non-user preferences and attitudes toward e-scooter use. This study investigates ‎latent variables impacting the adoption of shared e-scooters in urban areas, focusing on mode choice ‎factors and attitudes towards e-scooter use and car use. The study utilizes machine learning (ML) ‎techniques and SHAP analysis to analyze survey data (N=1196) collected from travelers in Washington, ‎D.C., Miami, FL, and Los Angeles, CA, in 2021 and 2022. A comparative analysis is performed to develop ‎comprehensive demographic profiles of e-scooter users. The analysis reveals gender (male), age (25-39 ‎years age group), higher income, and educational background as the most relevant factors toward e-‎scooter use. Attitudinal variations among e-scooter users and non-users underscore the complexity of ‎perceptions toward e-scooter use, with significant differences in mode choice factors and attitudes ‎toward the use of e-scooters and private vehicles. Notably, educational background ranked as a significant ‎factor in Washington, D.C., and Miami, while Factor 3, derived from factor analysis and encompassing car ‎use attitudes and the utilization of technology, emerged as influential in Los Angeles. This research ‎contributes fresh insights into factors shaping e-scooter adoption, offering a foundation for informed ‎urban transportation planning and policymaking. The holistic approach showcased in this study enhances ‎understanding of shared micromobility and its implications for urban mobility.

show abstract

Section: Literature Reviewmentioning

confidence: 99%

Exploration of Shared E-Scooter Adoption Determinants and Latent Factors ‎in Urban Settings Using Machine Learning

Jafarzadehfadaki,

Sisiopiku

2024

Preprint

View full text Add to dashboard Cite

show abstract

“…Transportasi merupakan suatu kegiatan pemindahan penumpang dan barang dari suatu tempat ke tempat lain, dimana di dalamnya terdapat unsur pergerakan atau movement (Araghi et al, 2022). Di bidang urbanisasi, hub dijelaskan sebagai sebuah jaringan koridor perkotaan yang menghubungkan dan melintas di dalam dan di sekitar kota atau dalam kota (Elshater & Ibraheem, 2014).…”

Section: Pendahuluanunclassified

“…Di bidang urbanisasi, hub dijelaskan sebagai sebuah jaringan koridor perkotaan yang menghubungkan dan melintas di dalam dan di sekitar kota atau dalam kota (Elshater & Ibraheem, 2014). Dengan demikian, dalam penulisan ini dapat diartikan transport hub merupakan sebuah pusat pertukaran penumpang dari satu moda transportasi ke moda transportasi lainnya (Bertolini, 2008;Torabi K et al, 2022;Ustadi & Shopi, 2016). Keberadaan transport hub di kota besar diperlukan untuk mempersingkat waktu tempuh para pengguna transit agar efisien dan teratur dalam berpindah moda transportasi.…”

Section: Pendahuluanunclassified

Karakteristik Spasial Area Transfer pada Bangunan Transport Hub

Dwitya,

Purnomo,

Madina

2023

RUAS

View full text Add to dashboard Cite

The transport hub building's main function is to exchange passengers from one mode to another. The transfer area is the main area of passenger transfer activities in this building. Each transport hub building certainly has different transfer area characteristics from one another. Several factors shape the spatial characteristics of this area. The purpose of this study is to determine the spatial characteristics of the transfer area and, as a theoretical study, to see how the transfer area is an adequate passenger exchange area in case studies of transport hub buildings in the world. The method used to analyze the data is descriptive qualitative. The analysis was carried out by comparing the observed data with existing theoretical variables. The results of this research then conclude in the form of several dominant factors that make the spatial character of the transfer area in transport hub buildings in the world. From the analysis that has been done, it can be concluded that there are characteristics of space-forming elements which are dominated by transparent planes, maximize incoming natural light, have an orientation to the outside of the building, have a broad shape, are dominant and are located in the center of the building.

show abstract

“…The diverse range of challenges and the potential benefits of widespread use of scooters identified in the pertinent literature render the need for further investigating their actual use in different urban contexts. While there is a growing body of literature on the topic, see for example (Nigro et al, 2022;Kachousangi et al, 2022;Ziedan et al, 2021;Abouelela et al, 2021a;Luo et al, 2021;Reck and Axhausen, 2021;Nikiforiadis et al, 2021), most studies conducted evaluate scooter's use characteristics for limited periods of time (for example: Liu et al, 2019 used three months of data; McKenzie, 2019 used four months of data, and Noland 2019 who used six months of data), ranging from five weeks to four months or utilizing experiences from just one pilot case, or they do not differentiate or compare between pilot/early-stage use and regular use after service adoption and users constructing service-familiarity (Liu et al, 2019;Zou et al, 2020;McKenzie, 2019). At the same time, most studies focus on the use of data from just one city, with a few exceptions (see for example Bai and Jiao, 2020).…”

Section: Introductionmentioning

confidence: 99%

Understanding the landscape of shared-e-scooters in North America; Spatiotemporal analysis and policy insights

Abouelela

Chaniotakis

Antoniou

2023

Transportation Research Part A: Policy and Practice

View full text Add to dashboard Cite

Passengers preferences for using emerging modes as first/last mile transport to and from a multimodal hub case study Delft Campus railway station

Cited by 34 publications

References 48 publications

Exploration of Shared E-Scooter Adoption Determinants and Latent Factors ‎in Urban Settings Using Machine Learning

Exploration of Shared E-Scooter Adoption Determinants and Latent Factors ‎in Urban Settings Using Machine Learning

Karakteristik Spasial Area Transfer pada Bangunan Transport Hub

Understanding the landscape of shared-e-scooters in North America; Spatiotemporal analysis and policy insights

Contact Info

Product

Resources

About