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Mobility Behaviour of Immigrants in Canada: Analyzing Mode Choice Using GPS Panel Data and Mixed Logit Models

Tareq Alsaleh, Bilal Farooq, Zachary Patterson

arXiv 16 Apr 2026 · Econometrics

arXiv:2604.15564 · PDF · DOI · OpenAlex · Extracted main text

Abstract

We examine these relationships using a panel dataset of more than 80,000 trip observations from 100 participants through a custom-built mobile application. A joint revealed preference (RP) and stated preference (SP) framework is used to estimate multinomial logit (MNL) and mixed logit (MXL) models. The level of integration is represented through a composite index capturing economic, social, civic, and health dimensions of integration. Results indicate two distinct patterns. First, the estimated models suggest that new immigrants in the sample exhibit lower sensitivity to in-vehicle travel time than Canadian-born respondents. The mixed logit specification suggests that the value of travel time for the sampled immigrants is approximately 66% lower than that of Canadian-born residents, with a immigrant-to-Canadian-born ratio of 0.34 that is consistent across both MXL specifications. Second, higher levels of integration are associated with reduced transit use and greater car reliance. A one standard deviation increase in the integration index decreases the probability of choosing public transit by approximately five percentage points. The joint RP-SP specification allows the inclusion of emerging e-mobility alternatives not yet observed in revealed behaviour; these face no inherent preference penalty, competing purely on their level-of-service attributes. Out-of-sample validation using five-fold cross-validation produces a mean prediction accuracy between 80% and 82% across model specifications. The findings suggest that transit policies in immigrant-receiving cities could prioritize service quality improvements, particularly reductions in access time, which are approximately three times more effective than fare reductions in shifting immigrants toward transit use.

Citation extraction

45
references
95
in-text mentions
45
distinct cited
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15,437
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Most heavily cited references

The works this paper leans on most, across its whole bibliography — not restricted to papers in our corpus. Ranked by composite intensity, which combines how often a work is mentioned, how many sections mention it, and how much of that falls in the main text rather than the appendix.

ReferenceIntensityMentionsSectionsMain text
1Asgari, Hamidreza and Zaman, Naieem and Jin, Xia (2017) Understanding immigrants' mode choice behavior in Florida: Analysis of neighborhood effects and cultural assimilation0.87462100%
2Train, Kenneth E (2009) Discrete Choice Methods with Simulation0.87452100%
3Chatman, Daniel G and Klein, Nicholas (2009) Immigrants and travel demand in the United States: Implications for transportation policy and future research0.81142100%
4Monteiro, Mayara Moraes and de Abreu e Silva, João and Haustein, Son… (2021) Urban travel behaviour adaptation of temporary transnational residents0.81142100%
5Welsch, Janina and Conrad, Kerstin and Wittowsky, Dirk (2018) Exploring immigrants' travel behaviour: Empirical findings from Offenbach am Main, Germany0.81142100%
6Welsch, Janina and Mattioli, Giulio (2025) The impact of migration background and ethnicity on car, bus and bicycle use in England0.81142100%
7Xu, Dafeng (2018) Transportation assimilation revisited: New evidence from repeated cross-sectional survey data0.81142100%
8Azoulay, Ben and Patterson, Zachary (2024) Towards the standardization of reporting in smartphone travel surveys: the development and application of the Smartphone Survey… self0.73732100%
9Delbosc, Alexa and Shafi, Rahman (2023) What do we know about immigrants' travel behaviour? A systematic literature review and proposed conceptual framework0.73732100%
10Harding, Christopher and Faghih Imani, Ahmadreza and Srikukenthiran,… (2021) Are we there yet? Assessing smartphone apps as full-fledged tools for activity-travel surveys0.73732100%

Showing the top 10 of 45 scored citations.