Passengers receptivity of a new public transport mode: case of a BRT project in Lebanon

Al-Shaar, Walid; Nehme, Nabil; Bonin, Olivier; Adjizian-Gérard, Jocelyne; Al-Shaar, Mohamad

doi:10.1007/s43762-022-00053-y

Cited by 6 publications

(2 citation statements)

References 17 publications

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“…The choice of variables utilized in this survey was based on earlier research with a comparable scope ( 24 , 28 , 54 ). Questions were asked to respondents on their socioeconomic characteristics as well as characteristics of their travel habits.…”

Section: Methodsmentioning

confidence: 99%

Auto-Oriented Communities in Developing Countries: Bus Rapid Transit Implementation Prospects

Mujalli

Alawadi

Al-Kasasbeh

et al. 2023

Transportation Research Record: Journal of the Transportation R

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Public transportation services often face challenges in middle- and low-income nations from both public acceptance and economic constraints. Jordan is classified as a middle-income country with a population of over 10 million, 4 million of whom live in Amman, the capital. The development and operation of a bus rapid transit (BRT) system in Amman city was recently proposed. The BRT project is anticipated to offer a solution to the city’s escalating congestion problem. This study’s objective is to conduct a “before” analysis to identify the variables that affect the willingness of people to use the Amman BRT system. The socioeconomic characteristics and travel habits of individuals were used to model the willingness to use BRT. An online survey was distributed to Amman residents and 238 valid responses were returned. Two popular techniques were utilized: binary logistic regression and Bayesian networks. Ten models were developed: one binary logistic model and nine Bayesian network models. The results of these models were compared based on accuracy, sensitivity, specificity, area under the Receiver Operating Characteristic (ROC) curve, complexity, and number of selected variables. It was found that Bayesian networks were more effective in modeling willingness to use BRT. Willingness to use BRT was shown to be higher among households without cars, youths, females, and university students, and if there were fewer transfers along the route. It became clear that introducing a new public transportation system is well appreciated, particularly in areas with low income, insufficient existing public transportation services, and where driving a car is the norm.

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Section: Methodsmentioning

confidence: 99%

Auto-Oriented Communities in Developing Countries: Bus Rapid Transit Implementation Prospects

Mujalli

Alawadi

Al-Kasasbeh

et al. 2023

Transportation Research Record: Journal of the Transportation R

View full text Add to dashboard Cite

show abstract

“…The findings highlighted the difficulties the implementing agency faced, which led to a switch from BRT to a regular bus. According to the information gathered from a questionnaire-based survey, Al-Shaar et al ( 2022 ) created mode choice models to investigate how much knowledge of a new public transportation option in Lebanon would influence mode choice. This study demonstrated the importance of taking into account people's perceptions of new modes of transportation as well as their level of familiarity with older ones when conducting feasibility assessments for any transportation projects in developing nations.…”

Section: Literature Reviewmentioning

confidence: 99%

An integrated fuzzy MCDM model for prioritizing strategies for successful implementation and operation of the bus rapid transit system

Bouraima

Tengecha²,

Stević

et al. 2023

Ann Oper Res

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The selection and prioritization of suitable strategies to address the challenges to the successful operation and implementation of the bus rapid transit (BRT) system is a common problem faced by practitioners and decision-makers. Recent research has widely discussed the issue, but such assessments have remained limited in the city of Dar es Salaam, Tanzania context, where there are mobility difficulties. The present study addresses this research gap and identifies the most critical challenges to BRT implementation and operation, and recommends the most appropriate strategy for overcoming them. Seven strategies are defined. To prioritize these strategies, five criteria are determined. An integrated multi-criteria decision-making model is introduced. Improved Fuzzy Step-Wise Weight Assessment Ratio Analysis based on the Bonferroni operator was used to determine the importance of the criteria. Measurement of alternatives and ranking according to compromise solution was applied to assess and rank the strategies. The results indicate that “frequent flooding at the Jangwani bridge bus terminal” and “long waiting time at bus stops” are the most critical challenges while the fourth alternative “strengthening the operation and management” is the appropriate strategy to be implemented for successful operation and implementation of the BRT system. After that, a five-phase sensitivity analysis is performed to observe the robustness of the proposed approach. The results indicate the flexibility and applicability of the proposed approach can address real-life problems. The proposed methodology in this work can be instrumental in assisting mass transit operators with the successful implementation and operation of the BRT system.

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Evaluating the performance of implementing regionally coordinating bus priority signals under different control schemes

Al-Hyasat,

Alhadidi

2024

Comput.Urban Sci.

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Bus Rapid Transit (BRT) proves its effectiveness in alleviating traffic congestion, especially in urban areas. The implementation of Transit Signal Priority (TSP) for BRT has shown a significant reduction in delays. However, in densely populated urban areas, this priority can inadvertently cause additional delays for other modes of transportation. In this paper, we propose a control strategy for Regionally Coordinating Bus Priority Signals Control (RCBPSC) at urban intersections. The aim is not only to reduce bus delays but also to consider minimizing delays for pedestrians and other vehicles. To achieve this, we modeled two consecutive intersections along the Amman BRT. Essentially, we evaluated three different control scenarios in addition to the current base scenario. These scenarios include adaptive traffic signal control, RCBPSC with no signal timing optimization, and RCBPSC with signal optimization. Simulation results indicate that the adaptive traffic signal timing has the worst operational performance in terms of average delay and Level of Service (LOS) compared to the base scenario. Additionally, the results show that BRT delays significantly decrease at both intersections when we implement RCBPSC scenarios. When implementing RCBPSC with optimization scenarios, the results show an average reduction of more than 60% in intersection delay, a decrease in emissions of more than 50%, and an improved LOS for system users compared to the base scenario. The findings of this work can help agencies improve the current operational condition of BRT when implementing RCBPSC.

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Passengers receptivity of a new public transport mode: case of a BRT project in Lebanon

Cited by 6 publications

References 17 publications

Auto-Oriented Communities in Developing Countries: Bus Rapid Transit Implementation Prospects

Auto-Oriented Communities in Developing Countries: Bus Rapid Transit Implementation Prospects

An integrated fuzzy MCDM model for prioritizing strategies for successful implementation and operation of the bus rapid transit system

Evaluating the performance of implementing regionally coordinating bus priority signals under different control schemes

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