Linking Mode Choice with Travel Behavior by Using Logit Model Based on Utility Function

Al-Salih, Wissam Qassim; Esztergár-Kiss, Domokos

doi:10.3390/su13084332

Cited by 38 publications

(23 citation statements)

References 26 publications

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“…To assess the goodness-of-fit model, the pseudo R-square has been examined. R-square briefs the proportion of variance in the dependent variable associated with independent variables ( Al-Salih and Esztergár-Kiss, 2021 ).…”

Section: Resultsmentioning

confidence: 99%

Impact of COVID-19 on mode choice behavior: A case study for Dhaka, Bangladesh

Paul

Chakraborty

Ratri

et al. 2022

Transportation Research Interdisciplinary Perspectives

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Section: Resultsmentioning

confidence: 99%

Impact of COVID-19 on mode choice behavior: A case study for Dhaka, Bangladesh

Paul

Chakraborty

Ratri

et al. 2022

Transportation Research Interdisciplinary Perspectives

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“…In the same vein, Al-Salh and Esztergar-Kiss (2021) applied a combination of multinomial logit model and logit model to estimate the modal split in Budapest, Hungary. The study found that private transport is the most dominant choice for intra-urban trips, and is followed by public transport and walking.…”

Section: Literature Reviewmentioning

confidence: 99%

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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“…Haase and Mueller [35] used the MNL model to depict customers' choice behavior and incorporated customers' choice into the location planning of preventive health facilities. Al-Salih and Esztergár-Kiss [36] used the MNL model to describe residents' travel mode choice. The MNL model is also used to describe consumers' choice of cancer detection facilities [37,38].…”

Section: Consumer Choice Behaviormentioning

confidence: 99%

“…Constraints (34) and (35) represent the carrying capacity constraint of vehicles k 1 and k 2 . Constraint (36) ensures that if vehicle k 2 enters a node, it also exits from the node. Constraint (37) ensures that each physical store has only one vehicle k 2 to serve it.…”

Section: Objective Functionmentioning

confidence: 99%

Location Optimization of Offline Physical Stores Based on MNL Model under BOPS Omnichannel

Wan

Zhang

Liu

et al. 2022

JTAER

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With the continuous upgrading of consumer demand and retail modes, more and more retailers are switching to an omnichannel retail mode. In order to study the location problem of offline physical stores of online retail enterprises that plan to implement the BOPS (Buy Online and Pickup in Store) omnichannel retail model, this paper considers consumers’ choice behavior under the omnichannel retail model; uses the MNL (Multinomial Logit) model to depict customers’ choice behavior between the online channel, BOPS channel, and offline physical channel; and constructs a location optimization model of offline physical stores with the goal of minimizing the enterprise’s cost. According to the characteristics of the model, an improved genetic algorithm was designed; the algorithm was improved on chromosome selection mode, crossover, and mutation rules. Finally, an example is calculated, and the physical store location scheme of a retail enterprise and the vehicle routing optimization scheme under the two-level distribution network are obtained, which verifies the effectiveness of the model and algorithm and provides a scientific reference for the physical store location decision of online retail enterprises planning to implement the BOPS omnichannel retail model. The impact of freight, return rate, and service level of physical stores on the location of offline physical stores is analyzed. The results show that in the process of expanding offline physical stores to implement the BOPS omnichannel retail model, online retail enterprises can reduce enterprise costs by improving the freight level and service level of the physical store. The higher the return rate of the online channel, the more necessary it is to expand offline physical stores, and the lower the enterprise cost. At the same time, management suggestions are put forward for the enterprise operation under the BOPS omnichannel retail mode.

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Linking Mode Choice with Travel Behavior by Using Logit Model Based on Utility Function

Cited by 38 publications

References 26 publications

Impact of COVID-19 on mode choice behavior: A case study for Dhaka, Bangladesh

Impact of COVID-19 on mode choice behavior: A case study for Dhaka, Bangladesh

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

Location Optimization of Offline Physical Stores Based on MNL Model under BOPS Omnichannel

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