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

Rizki, Muhamad; Joewono, Tri Basuki; Dharmowijoyo, Dimas Bayu Endrayana; Prasetyanto, Dwi

doi:10.3390/su131911117

Cited by 11 publications

(9 citation statements)

References 69 publications

(174 reference statements)

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“…Previous studies Human mobility is, still, the sole focus of studies on the factors that influence ridesharing. The variables of educational attainment, income, occupation, household characteristics, lifestyle, and behaviour, as well as geographical variables, were used in these studies for respondents who belonged to the millennial generation (Gen X) [5], [9]- [15], [33] and have not discussed how it affected the movement of goods. Ride sourcing-based goods movements have been the subject of a few studies in developed nations [1], [6], [16]- [19]and China [20] which also known as crowdsourcing delivery or crowd-shipping.…”

Section: 7mentioning

confidence: 99%

Patterns of ride sourcing adoption among age groups in three metropolitan cities of Indonesia

Khaitami,

Nurlaela,

Dharmowijoyo

2024

IOP Conf. Ser.: Earth Environ. Sci.

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This paper aims to investigate the pattern of ride sourcing adoption among different age groups in Indonesia, represented by the three metropolitan regions. Using descriptive analysis and multivariate analysis (Principal Component Analysis), two distinct models were segmented according to age (under 25-year-old and over 25-year-old) and their characteristics that influence ride sourcing adoption were explored. The paper found some interesting patterns. Firstly, the average users of ride sourcing-based goods movement services are women under 25 years old, are college students, live in rented/boarding houses, have a high school degree or equivalent level of education, have 3 to 4 family members, on average have 2 cars and 1 motorcycle per family, have better access to shopping center facilities, educational facilities, restaurant, pharmacies or drug stores, main roads, medical facilities, pedestrian and cyclist facilities, and green open spaces, have a high time allocation for online activities or work/study, and have a high frequency of use of services for the food category before the pandemic. Secondly, comparing both age groups, 4 (four) types of ride sourcing services were formed among the groups in different ways, i.e., parcels; medicine and groceries; non-food; inner-city package and food service grouping were formed among the “under 25 years age” users; while the “above 25 years age” were grouping into users of medicines, groceries, non-food; inner-city parcels and out of the city packages; big parcels and out of the city letters; and foods. Thirdly, in both age group, the services of ride sourcing adoption were significantly correlated with socio-demographic factors like gender, employment status, income level, and ownership of a vehicle. Fourth, in both age group, the services were also positively and significantly impacted by increased time allocated for work and study, outside socializing, and online shopping. In contrast, a greater allocation of out-of-home maintenance had a negative effect. Fifth, in both age group, the services were significantly correlated with the different characteristics of the built environment. However, there were different pattern as well among the two groups such as for those over the age of 25, an increase in income will also result in an increase in service usage across all the services and the usage were in line with the high intensity of work/study from home. On the other hand, the under 25 age group tended to use all services more frequently if they spend more time for work or study.

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Section: 7mentioning

confidence: 99%

Patterns of ride sourcing adoption among age groups in three metropolitan cities of Indonesia

Khaitami,

Nurlaela,

Dharmowijoyo

2024

IOP Conf. Ser.: Earth Environ. Sci.

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“…On attitude toward and negative experience during online learning, the study refers to studies by Saade et al [66], Dray et al [62], and Ng [67]. Meanwhile, in relation to the factor of the residential built environment, the study refers to studies by Ewing and Cervero [68] and Rizki et al [69]. Figure 1 describes the framework of the analysis.…”

Section: Research Frameworkmentioning

confidence: 99%

Online Learning Participation Intention after COVID-19 Pandemic in Indonesia: Do Students Still Make Trips for Online Class?

2022

Self Cite

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In response to the COVID-19 pandemic, educational institutions worldwide have made online learning their primary channel. While the various benefits of e-learning have influenced governments to extend the use of this platform after the pandemic, there is the question of the intention of students toward online learning (i.e., participation and location) after the pandemic. This research aims to examine the intention of undergraduate students to do online learning post-COVID-19 pandemic and explore the factors that affect them in Indonesia. To that end, this study distributed an online questionnaire to 906 undergraduate students in mid-2021 in Bandung, Indonesia, and used the Discriminant Analysis (DA) and Multinomial Logistics Regression (MNL) model to explore the factors that influence the intention for e-learning after the pandemic. Teaching quality and time management benefits were found to influence students’ intention to spend more days on e-learning. Lower frequency of e-learning is associated with communication problems, internet problems, and unfavorable conditions at home. While the substitution effect is found in e-learning for students who are able to focus during online class, the neutral effect is found for students who experience internet problems and have a lower monthly allowance. E-learning also modifies trips for students who have higher monthly allowances and experience dizziness from long screen time. Students who reside in well-developed neighborhoods tend to prefer to attend online classes from home.

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“…Moreover, prior studies also indicates the role of attitude towards mode choice [16], [18], [21], [38], [39]. Several studies have used attitude to evaluate whether passengers would like to use ride-sourcing [40], [41].…”

Section: A Substitution Effect Of Ride-sourcingmentioning

confidence: 99%

“…Moreover, most travel behavior studies have shifted from only integrating variables concerning trip characteristics (e.g., distance, travel time, and costs) and personal characteristics (e.g., age, income, and occupation) to also accommodating multi-dimensional variables, such as attitude and satisfaction [4], [7], [16]- [18]. This is because a user's particular attitude and satisfaction with a particular mode influence their travel behavior, such as the mode choice [19]- [21].…”

Section: Introductionmentioning

confidence: 99%

Exploring the Substitution Effect of Ride-Sourcing in Commuting and Transport Stations Trips: Learning from Evidence in Bandung City, Indonesia

Maulana¹,

Rizki²,

Purwanti³

et al. 2022

Int. J. Adv. Sci. Eng. Inf. Technol.

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Ample evidence shows that ride-sourcing can substitute the existing transport system (i.e., public transport or private transport). However, the effect of the type of trip (i.e., commuting or transport station trips) on this substitution is still not fully understood. Therefore, this study aims to investigate the substitution effect of ride-sourcing based on the type of trip, i.e., commuting trips as well as trips to transport stations (e.g., the airport, terminal, rail station), conducted by private vehicles and public transport services. The effects of socio-demographics, spatial characteristics, and attitude were integrated into the discriminant model to explore this further. For this purpose, this study collected data from a questionnaire distributed to ride-sourcing users in Bandung in 2020. Discriminant and multivariate analyses are used to investigate the substitution effect of ride-hailing. It is found that the substitution of private transportation occurs for high-income online transport users and longer trips. Moreover, people who previously used public transportation are associated with users who experience increased productivity. Ride-sourcing vehicles, such as online taxis, provide more space for activities. In addition, a lack of access to other transportation tends to be associated with public transport users rather than private vehicle owners. Public transport users can experience increased productivity because the travel time is significantly reduced when ride-sourcing is used. The improvement of public transport, specifically for people who are carrying more belongings and have more intense and widespread activity participation, is then suggested by this study.

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

Cited by 11 publications

References 69 publications

Patterns of ride sourcing adoption among age groups in three metropolitan cities of Indonesia

Patterns of ride sourcing adoption among age groups in three metropolitan cities of Indonesia

Online Learning Participation Intention after COVID-19 Pandemic in Indonesia: Do Students Still Make Trips for Online Class?

Exploring the Substitution Effect of Ride-Sourcing in Commuting and Transport Stations Trips: Learning from Evidence in Bandung City, Indonesia

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