Loyalty of Paratransit Users in the Era of Competition with Ride Sourcing

Joewono, Tri Basuki; Matthew, Ariel; Rizki, Muhamad

doi:10.3390/su132212719

Cited by 7 publications

(6 citation statements)

References 77 publications

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“…Chicago L, a rapid transit system, operates inside the city of Chicago. The number of L stations in the AM peak period has negative impact on TNC fare, highlighting possible competition between Chicago L and TNC ( 50 ). Interestingly, higher employment density at the origin is negatively associated with TNC fare, possibly reflecting the presence of infrastructure for non-motorized modes and improved land use ( 51 , 52 ).…”

Section: Model Estimation Resultsmentioning

confidence: 99%

“…From this broad set of alternatives, destination choice models are developed employing a random sample of 30 alternatives (inclusive of the chosen alternative). A similar random sampling process has been adopted in earlier literature for destination choice models (see Joewono et al, Ryan and Frank, Seong et al, and Dey et al for details) ( 50 – 53 ).…”

Section: Data Preparationmentioning

confidence: 99%

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Joint Econometric Model Framework for Transportation Network Company Users’ Trip Fare and Destination Choice Analysis

Parvez

Tirtha

Bhowmik

et al. 2023

Transportation Research Record: Journal of the Transportation R

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In this study, we examine the factors affecting Chicago, U.S., transportation network companies (TNCs) users’ trip fare and destination choice behavior. While trip fare has been examined from various perspectives, earlier fare models have not considered an exhaustive set of independent variables. Further, trip fare decisions are significantly influenced by trip destination. Therefore, in our study a joint model of trip fare and destination choice is proposed. The joint model system—linear regression for fare and multinomial logit model for destination—is developed based on Chicago TNC weekday trip data from January 2019 to December 2019. A wide range of origin- and destination-specific land use and built environment factors, transportation infrastructure attributes, and weather attributes were found to be significant in the model system. Based on log-likelihood and Bayesian information criterion measures, the model performance of the proposed joint model is found to be superior compared with independent fare and destination models. The applicability of our proposed fare and destination choice model is illustrated through fare prediction and destination elasticity analysis. The framework can potentially be employed to generate TNC fare for inclusion in level of service measures for TNC models in the mode choice model.

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Section: Model Estimation Resultsmentioning

confidence: 99%

Section: Data Preparationmentioning

confidence: 99%

Joint Econometric Model Framework for Transportation Network Company Users’ Trip Fare and Destination Choice Analysis

Parvez

Tirtha

Bhowmik

et al. 2023

Transportation Research Record: Journal of the Transportation R

View full text Add to dashboard Cite

show abstract

“…Moreover, from other authors' research on the loyalty of paratransit users, it can be concluded that loyalty is positively influenced by satisfaction [38]. Satisfaction with paratransit's image and unique attributes sustains passengers' future loyalty intentions, depending on passengers' current personal characteristics (i.e., age, income, occupation) and trip characteristics (e.g., fare, vehicle ownership).…”

Section: Lee At Al [14]mentioning

confidence: 93%

Assessment of Factors Determining Airline Consumer Loyalty: Case Study in Lithuania

Batarlienė

Slavinskaitė

2023

Sustainability

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The aviation sector is constantly expanding and it is strongly influenced by external factors, which gives rise to significant competition between airlines. One of the most effective ways for an airline to gain a competitive advantage is to keep its customers as loyal users of the provided services, able to provide airlines with a stable revenue for the services they sell. The purpose of this paper was to identify the factors that have the greatest impact on airline passengers’ loyalty. This study analyzed the data from passengers of two classes: prestige (business) and economy. Prestige (business) passengers pay more attention to service quality (beverage and food selection, service and quality, especially accessibility, etc.), privacy, individual attention, and airline reliability, while economy class passengers focus on price and basic perception of service quality. Data were collected from 409 passengers who travelled from Lithuania airports (Vilnius, Kaunas, Palanga) to other countries. The results suggest that there are different factors of in-flight service quality that are important according to the customer seat class. The results indicate that 71% of passenger loyalty is explained by image and image is explained by satisfaction. In addition, service quality and price are found to have positive effects on satisfaction. Compared with price, service quality is found to be a stronger determinant of satisfaction.

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“…Public transit users showed more interest in cycling than private vehicle users and, motorbike users were least interested in considering cycling as a transportation mode (43%), confirming that "NMT promotion can be tricky in a context with motorbikes and Paratransit in practice." [38]…”

Section: Interest In Bicycle Use As a Transportation Modementioning

confidence: 99%

Determinants, Motivators and Barriers for Utilitarian Cycling in Starter Cities: Case of Battaramulla, Sri Lanka

Rodrigo,

De Silva,

Wattage

2024

J. S. Asian Logistics Transport

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In the 1960s, a counter-cultural movement promoting utilitarian bicycle usage emerged in Europe and North America, challenging the dominance of cars, and advocating for sustainable urban mobility. despite the emergence of this movement, many developing cities have low cycling modal share and encounter obstacles in promoting utilitarian cycling. This study delves into workers attitudes toward using bicycles as an alternative mode of transportation. Employing a Binary logistic regression model and incorporating the Relative Importance Index (RII), the research identifies key determinants of utilitarian cycling. The findings highlight significant community willingness (71%) to bike to work, despite perceived barriers. Safety concerns (RII - 0.88) and environmental factors (RII = 0.60), such as rain and heat, emerge as prominent deterrents. Societal perceptions linking cycling to lower social status (vanity) (RII = 0.35), bicycle affordability (RII = 0.35), and work-related factors (RII = 0.48), such as non-cycle-friendly work attire and insufficient office parking safety, play relatively minor roles in discouraging bicycle use. Using the logistic regression model, the study predicts factors influencing the willingness to use bicycles for utilitarian transportation, revealing negative impacts from the absence of cycling infrastructure, motor traffic, rainy weather, and a lack of a cycling community.

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Loyalty of Paratransit Users in the Era of Competition with Ride Sourcing

Cited by 7 publications

References 77 publications

Joint Econometric Model Framework for Transportation Network Company Users’ Trip Fare and Destination Choice Analysis

Joint Econometric Model Framework for Transportation Network Company Users’ Trip Fare and Destination Choice Analysis

Assessment of Factors Determining Airline Consumer Loyalty: Case Study in Lithuania

Determinants, Motivators and Barriers for Utilitarian Cycling in Starter Cities: Case of Battaramulla, Sri Lanka

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