Effects of Individual Characteristics on Travel Behavior: An Application of the Multinomial Logit Model on the Travellers Behaviour in Budapest City

Author(s):  
Wissam Qassim Al-Salih ◽  
Domokos Esztergar-Kiss
Author(s):  
Najma R. Sharif

This paper examines how the employment profile of newcomers to Canada differs from that of the native-born, controlling for human capital and other individual characteristics, and whether that profile converges to that of the native-born as the length of residence in Canada increases. These questions are important for understanding whether (and the extent to which) foreign workers adjust to Canadian labour markets. They also have significant policy relevance, given that demographic trends in the country suggest that immigration will likely be an even more significant contributor to labour force growth in the years ahead. The econometric tool we employ is the multinomial logit model, which is estimated using data from the 2001 Census of Canada. Employment status, which is a categorical variable with several dimensions, is explained in terms of human capital, demographic and other individual characteristics, with additional controls for immigration status and variables intended to capture the impact of the length of residence of foreign workers in Canada. Since foreign workers are themselves a disparate group, entering Canada with very different socio-economic characteristics, with the potential for very different paths of subsequent adjustment to host country labour markets, we consider several foreign-born groups. This is important for capturing differences that reflect the shift in immigration away from traditional sources (e.g. the U.K) to non-traditional sources (e.g. Asia), and the implications for labour market activity and outcomes.


2021 ◽  
Vol 13 (8) ◽  
pp. 4332
Author(s):  
Wissam Qassim Al-Salih ◽  
Domokos Esztergár-Kiss

The currently available transport modeling tools are used to evaluate the effects of behavior change. The aim of this study is to analyze the interaction between the transport mode choice and travel behavior of an individual—more specifically, to identify which of the variables has the greatest effect on mode choice. This is realized by using a multinomial logit model (MNL) and a nested logit model (NL) based on a utility function. The utility function contains activity characteristics, trip characteristics including travel cost, travel time, the distance between activity place, and the individual characteristics to calculate the maximum utility of the mode choice. The variables in the proposed model are tested by using real observations in Budapest, Hungary as a case study. When analyzing the results, it was found that “Trip distance” variable was the most significant, followed by “Travel time” and “Activity purpose”. These parameters have to be mainly considered when elaborating urban traffic models and travel plans. The advantage of using the proposed logit models and utility function is the ability to identify the relationship among the travel behavior of an individual and the mode choice. With the results, it is possible to estimate the influence of the various variables on mode choice and identify the best mode based on the utility function.


2014 ◽  
Vol 23 (11) ◽  
pp. 2023-2039 ◽  
Author(s):  
Paat Rusmevichientong ◽  
David Shmoys ◽  
Chaoxu Tong ◽  
Huseyin Topaloglu

2008 ◽  
Vol 27 (3) ◽  
pp. 319-331 ◽  
Author(s):  
Leslie S. Stratton ◽  
Dennis M. O’Toole ◽  
James N. Wetzel

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