Abstract

<div>Without a better understanding of travel behaviour by diverse immigrant groups, the nuances of immigrant mobility needs may go unmet. Statutory transportation planning requirements focus on mobility “needs”. But social understandings of what travel is “needed” for daily life changes over time varies between different population groups. In many major immigrant settlement areas, immigration has become the primary, if not sole, reason for</div><div>population growth (Thomas, 2013). Evidence continues to emerge indicating that immigrants use non-auto modes significantly more than non-immigrants but slowly assimilate in becoming more auto-oriented (Chatman, 2013). Likewise, mobility differences between ethnic groups persist</div><div>(Hu et al., 2020). In the absence of an understanding of the travel behaviour of specific immigrant groups and changes over time, there is a distinct possibility for a significant</div><div>disconnect between understandings of what transportation services are provided and what services are needed (Blumenberg, 2009; Chatman & Klein, 2009). Towards bridging this gap, this study explores auto ownership and daily vehicle travel among self-identified immigrants and</div><div>non-immigrants of either self-identified Asian or European descent in the Greater Toronto and Hamilton area.</div><div><div>Using data from a 2018 travel survey of residents of the Greater Toronto and Hamilton Area, this study explores travel behaviour in relation to immigrant status and the length of</div><div>residence in Canada and several mobility measures, including vehicle travel and auto ownership.</div><div>This study begins by using the survey data to present descriptive statistics related to differences between immigrant groups, based on length of residence in Canada and based on auto ownership and vehicle-kilometers traveled (VKT). Next, inferential models were estimated to formally test</div><div>the links between travel behaviour outcomes and immigrant status. Logistic regression models of household vehicle ownership were estimated before Tobit regression models of daily VKT were estimated.</div><div><br></div><div>Descriptive study findings support the expectation of significant differences between immigrant status (based on length of stay) and self-identified ethnicity (Asian or European) and both vehicle ownership and VKT. However, inferential models show a more complex story. Models of household vehicle ownership (yes/no) indicate that being a recent immigrant to Canada is associated with lower vehicle ownership rates, but that effects attenuate rapidly – implying rapid assimilation. Tobit models from this study of daily VKT suggest that these lower rates of auto ownership translate weakly into VKT reductions. Evidence is suggestive of a VKT</div><div>rebound among Asian populations – wherein some immigrants exceed VKT expectations of non-immigrant groups. These findings beg to question why Asian immigrants use their vehicles so intensely and how mobility gaps are overcome so quickly.</div><div>Key Words</div><div>Asian immigrants, European immigrants, travel behaviour, assimilation, Toronto, Hamilton</div></div>

Highlights

  • Transportation planning is conventionally based on empirical estimates of typical travel behaviour among residents in a region

  • By developing a better understanding of immigrant travel behaviour in the GTHA, immigrants from Asian origins, this study proposes to bridge the imperative to plan for immigrants and the deficiency in data and information on immigrant travel used in current transportation planning practice

  • This study helps fill the gap on immigrant travel behaviour in terms of vehicle-kilometers traveled (VKT) and vehicle ownership within the GTHA

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Summary

Introduction

Transportation planning is conventionally based on empirical estimates of typical travel behaviour among residents in a region. Research in other contexts suggests that new immigrants travel less than longer-residing immigrants or than locally-born populations (Blumenberg 2008 & 2011; Giuliano, 2004). While immigrants represent a significant new population and travel market, their different travel needs (notably lower rates of mobility) lead current transportation planning and travel demand forecasting practices to be less aligned towards immigrants, instead prioritizing highly mobile sectors of society. By developing a better understanding of immigrant travel behaviour in the GTHA, immigrants from Asian origins, this study proposes to bridge the imperative to plan for immigrants and the deficiency in data and information on immigrant travel used in current transportation planning practice

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