Do motorcycle-based ride-hailing apps threaten bus ridership? A hybrid choice modeling approach with latent variables

Irawan, Muhammad Zudhy; Belgiawan, Prawira Fajarindra; Joewono, Tri Basuki; Simanjuntak, Nurvita Insani

doi:10.1007/s12469-019-00217-w

Cited by 43 publications

(28 citation statements)

References 62 publications

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“…There is now some literature on the modal shift to car-based TNC services in the US (e.g. Clewlow and Mishra 2017;Henao and Marshall 2019), yet such evidence is almost non-existent for motorcycle e-hailing services: only Phun et al (2019) suggest that motorcycle taxis are used as feeder services to the mass transport system in Bangkok while Irawan et al (2020) investigate the factors affecting the attractiveness of bus services over motorcycle e-hailing in Yogyakarta. Modelling the effects on modal shift is a vital future avenue of research -not only in Dhaka and Bangladesh, but in other cities and countries where motorcycle e-hailing services operate.…”

Section: Discussionmentioning

confidence: 99%

The effects of e-ridehailing on motorcycle ownership in an emerging-country megacity

Wadud

2020

Transportation Research Part A: Policy and Practice

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Elsevier has created a COVID-19 resource centre with free information in English and Mandarin on the novel coronavirus COVID-19. The COVID-19 resource centre is hosted on Elsevier Connect, the company's public news and information website. Elsevier hereby grants permission to make all its COVID-19-related research that is available on the COVID-19 resource centre-including this research content-immediately available in PubMed Central and other publicly funded repositories, such as the WHO COVID database with rights for unrestricted research re-use and analyses in any form or by any means with acknowledgement of the original source. These permissions are granted for free by Elsevier for as long as the COVID-19 resource centre remains active.

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Section: Discussionmentioning

confidence: 99%

The effects of e-ridehailing on motorcycle ownership in an emerging-country megacity

Wadud

2020

Transportation Research Part A: Policy and Practice

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“…Many studies have considered the effects of e-commerce and ICT on behavioral changes in activity and associated travel (or activity-travel behavior changes), particularly the potential for replacing out-of-home activities with virtual-based tasks, such as e-learning, telework, and online shopping (Cao 2009 ; Chakrabarti 2018 ; Sener and Reeder 2012 ). The use of ICT in the transportation sector, such as ride-hailing, has successfully changed travel behaviors and sustainability (Irawan et al 2020a ; Tarabay and Abou-Zeid 2020 ; Tirachini 2020 ).…”

Section: Introductionmentioning

confidence: 99%

Exploring activity-travel behavior changes during the beginning of COVID-19 pandemic in Indonesia

et al. 2021

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This study examines the change in activities and associated travel during the beginning of COVID-19 pandemic in Indonesia. This study is particularly interested in analyzing the role of attitudes, descriptive norms, protective behaviors toward COVID-19, travel frequency before the pandemic, and spatial and individual characteristics on activity-travel behavior changes in relation to information and communication technology (ICT) use. Data were obtained from 1062 respondents using a web-based questionnaire survey. Structural equation modeling was used to examine the complex relationships among variables. This study found that descriptive norms positively affected the frequency of travel during the COVID-19 pandemic. Teleworking and e-learning and attitudes toward COVID-19 directly affected activity-travel behavior changes. On the contrary, teleshopping did not contribute to reducing out-of-home activities during the COVID-19 pandemic. Experience of ICT influenced a decline in travel frequency and ride-hailing use. Furthermore, although personal attributes insignificantly influenced activity-travel behavior change, these attributes directly affected ICT use. Meanwhile, people living outside of Java Island had a higher travel frequency during the beginning of COVID-19 pandemic than their counterparts. Based on our findings, this study recommends that the very initial step in an emergency caused by a disaster be to massively socialize or educate people about the risk of the pandemic and to continue with a policy to minimize travel by encouraging teleworking and e-learning. Empowering ICT to support activities from home will beneficially minimize the spread of the pandemic.

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“…Currently, ride-sourcing serves more than 50 cities in Indonesia. With its popularity and its effect on the existing transport ecosystem, many researchers from various backgrounds are investigating the effect of ride-sourcing in Indonesia [9,10,[56][57][58][59].…”

Section: The Ride Sourcing Studies In Indonesiamentioning

confidence: 99%

The Effects of On- and Before- Journey Advantages Using Ride-Sourcing in Indonesia

et al. 2021

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This paper explores the effects of on-journey (i.e., waiting and travel time reliability, driver quality), before-journey (i.e., service coverage, application quality, fare, etc.), and multi-tasking advantages when using ride-sourcing, the perceived usefulness of ride-sourcing and, in turn, the frequency of usage. Assuming a structural form without any reciprocal effects, the modified Structural Equation Model is used. This study collected data from 497 ride-sourcing users in Bandung city in 2018. As expected, ride-sourcing users who appreciate the usefulness of ride-sourcing services correlate with a higher frequency of use. This study found that situational variables or variables related to travel and built environment conditions (e.g., on-journey advantages, built environment, and travel characteristics) play a role in keeping travellers using the services. This study confirms that multi-tasking is not a reason for ride-sourcing users to use the services more often. Moreover, those who previously used motorcycles and car-based ride-sourcing (CBRS) are more loyal travellers than car, public transport users, and motorcycle-based-ride-sourcing (MBRS) users, respectively.

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Do motorcycle-based ride-hailing apps threaten bus ridership? A hybrid choice modeling approach with latent variables

Cited by 43 publications

References 62 publications

The effects of e-ridehailing on motorcycle ownership in an emerging-country megacity

The effects of e-ridehailing on motorcycle ownership in an emerging-country megacity

Exploring activity-travel behavior changes during the beginning of COVID-19 pandemic in Indonesia

The Effects of On- and Before- Journey Advantages Using Ride-Sourcing in Indonesia

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