Modelling Mode Choice at Sharjah University City, United Arab Emirates

Obaid, Lubna; Hamad, Khaled

doi:10.1051/matecconf/202030802004

Cited by 6 publications

(6 citation statements)

References 20 publications

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“…Also, it is an indication that public transport holds great potentials in providing a sustainable transport system in the city. However, the outcome of this result differs from the existing studies (Al-Salh & Esztergas-Kiss, 2021; Drliciak et al, 2020; Guerra & Li, 2021; Novačko et al, 2020; Obaid & Hamad, 2020) found the USA,, Europe, and Middle east which indicate that private transport was the most preferred mode for intra urban trips.…”

Section: Discussioncontrasting

confidence: 88%

“…Moreover, Hu et al (2022) used nested logit model, a type of discrete choice models, to estimate commuter mode choice in dual-earner household in a small Chinese city. The outcome of this study is not completely consistent with the output from multinomial logit models (Drliciak et al, 2020; Novačko et al, 2020; Obaid & Hamad, 2020; Rasaizadi & Askari, 2020). The study found that the mode choice for female commuters consist of e-bike (63.4%), car (23.2%), walk (4.3%), shuttle bus (3.3%), transit bus (2.9%), motorcycle (1.5%), and bike (1.4%).…”

Section: Literature Reviewcontrasting

confidence: 62%

“…This is a confirmation that modal split can differ among cities because of the peculiarity of determinant factors (such as religion in Enugu city). The outcome of this study is competitive in accuracy with the discrete choice models (Al-Salh & Esztergas-Kiss, 2021; Drliciak et al, 2020; Novačko et al, 2020; Obaid & Hamad, 2020; Rasaizadi & Askari, 2020). This supports the discussions in the theory and methodology sections of this study, which indicate that the discriminant analysis (a probabilistic model) is a robust model for estimating the modal split of intra urban trips.…”

Section: Discussionmentioning

confidence: 69%

“…Meanwhile, the work of Obaid and Hamad (2020) which used multinomial logit model to analyze the mode choice of travelers at Shanjali University City [SUC], United Arab Emirates disagrees with Chen et al (2015) and Shukla (2019). This is because, unlike the aforementioned studies, which suggest the preference of active transport, the result indicates that car (passive transport) is the most preferred mode for the University City commuters.…”

Section: Literature Reviewmentioning

confidence: 99%

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Analysis of Modal Split of Intra-urban Trips in a Centenary City: A Case Study of Enugu, Nigeria

et al. 2023

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The mode choice of commuters is an important element in the formulation and design of transportation policy. It gives policymakers a better understanding of the dynamics of intra urban trips. However, most of the studies on the modal split of intra urban trips found in the literature focused on Europe, America, and Southeast Asia with little emphasis on Africa. The lacuna this trend creates motivates this study to present evidence from Nigeria using the centenary city of Enugu as a case study. This study is critical for knowledge production that drives explicit outline strategies for the development of a sustainable urban transportation system in Nigeria. Data on modal split and determinant factors were collected from primary source through the use of a questionnaire. Discriminant analysis was used to classify the modal split of intra urban trips in Enugu into two groups’ namely public and private transport. Although public transport modes are the most used for intra urban trips, the mode share indicates that private transport mode (car) is the most used single mode for intra urban trips. More than three-quarters of commuters that use private transport for intra urban trips prefer the mode, whereas a little less than one-fifth of commuters will switch to public transport modes. On the other hand, most of the commuters that use public transport for intra urban trips prefer the modes and very few others will switch to private transport. Car ownership has the strongest influence on the modal split. The study identifies the need for policy interventions that reflects better understating of the dynamics of intra urban trips.

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Section: Discussioncontrasting

confidence: 88%

Section: Literature Reviewcontrasting

confidence: 62%

Section: Discussionmentioning

confidence: 69%

Section: Literature Reviewmentioning

confidence: 99%

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Analysis of Modal Split of Intra-urban Trips in a Centenary City: A Case Study of Enugu, Nigeria

et al. 2023

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“…Obaid and Hamad, (2019), developed a multinomial logit model to predict the mode choice for the University City of Sharjah in the United Arab Emirates. The results of the research showed that travel time and trip maker characteristics are the most important factors that affect the choice (Obaid & Hamad, 2020). Jonii, (2015, tried to develop a model to understand the behavior of trip makers and try to convert them to public transportation using the logarithm model and SPSS statistical package.…”

Section: Introductionmentioning

confidence: 99%

Developing a Modal Split Model Using Fuzzy Inference System in Ramadi City

Yousif¹,

Abed²,

Awad³

2022

IJCE

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Several different deterministic and probabilistic mathematical approaches have been used to develop modal split models. The data collected by a questionnaire survey approach is frequently associated with subjectivity, imprecision, and ambiguity. additionally, several linguistic terms are used to express some of the transportation planning variables. This can be solved by modeling mode choosing behavior with artificial intelligence techniques such as fuzzy logic. In this research, Ramadi city in Iraq has been selected as a study area. For the purpose of obtaining data, the study area was divided into traffic analysis zones (TAZ). The total number of traffic zones was set as 28 traffic zones, 22 were internal traffic zones and 6 external traffic zones. Field surveys and questionnaires are used to collect data on traffic, land use, and socioeconomic characteristics factors (age, gender, vehicle ownership, family income, trip purpose, trip origin and destination, trip time, waiting duration, duration inside mode, trip origin and destination, trip cost, and type of mode used for transport). The results showed that the modal split models based on the fuzzy inference system can deal with linguistic variables as well as address uncertainty and subjectivity and they gave very good prediction accuracy for future prediction. Fuzzy inference system proved that all factors affected the mode choice with a very strong correlation coefficient (R) equal to 93.1 for general trips but when the results were compared with multiple linear regression model found that the correlation coefficient (R) equal to 28.9 for general trips and the most influential factors on the mode choice are car ownership, age and trip cost. Thus, it can be concluded that fuzzy logic models were more capable of capturing and integrating human knowledge in mode selection behavior. In addition, this study will help decision-makers to plan transportation policies for Ramadi city.

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