Travel behavior of immigrants: An analysis of the 2001 National Household Transportation Survey

Tal, Gil; Handy, Susan

doi:10.1016/j.tranpol.2009.11.003

Cited by 125 publications

(94 citation statements)

References 13 publications

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“…Blumenberg and Shiki [55] proposed that carpooling may be an expedient way for immigrants to tap social capital, but that once they could afford a car, they would become assimilated to auto-mobility. However, this assimilation process may vary across different ethnic and cultural groups [5,55]. Nevertheless, Chatman and Klein [56] found no trend toward assimilation among immigrants living in ethnic neighborhoods in New Jersey.…”

Section: The Travel Behavior Of Residents Of Immigrant Neighborhoodsmentioning

confidence: 99%

“…The literature on the travel behavior of immigrants is growing, because transportation This article is part of Topical Collection on Transport poverty, equity and environmental justice scholars and policymakers are interested in how demographic changes related to immigration should influence future transportation planning [4,5]. Additionally, understanding the transportation needs and barriers encountered by immigrants is important to help them access employment, education, healthcare, and other opportunities and thus achieve social inclusion [6,7].…”

Section: Introductionmentioning

confidence: 99%

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Restrained mobility in a high-accessible and migrant-rich area in downtown Beijing

Zhao

2017

Eur. Transp. Res. Rev.

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Purpose Immigrant travel has become an emerging research field in transportation planning. A handful of scholars have studied the travel behavior of residents in immigrant enclaves in North America. However, thus far, there has been no analysis of the travel behavior of residents living in migrant-rich neighborhoods in China. Additionally, previous studies rarely explored whether these (im)migrants could benefit from resources outside the neighborhoods, and the determinants of their travel to destinations outside the neighborhoods. This study aims to fill these research gaps in the literature. We used a migrant-rich area in downtown Beijing as a case study to understand the daily mobility and the determinants, and strategies to enhance mobility of neighborhood residents. Method To answer the above questions, in-depth interview in Dashilar was used in this study. Eighteen migrant workers were recruited by using snowball sampling, and six local residents were recruited as Bobservers^to view the mobility of migrant workers from another perspective. The interviews were digitally recorded, transcribed and coded. Results The research results show that the interviewees had restrained mobility, limited to the area within Dashilar. Their work location was near residence, and they seldom made recreation and social trips. One of the major reasons for this was that their social ties were highly restricted to people from the same hometown. Additionally, time and financial poverty further limited their mobility. Institutional barriers also segregated migrant workers with local people in job market, urban welfare and daily life. In order to improve physical mobility, migrant workers used electric bicycle as their daily travel facility. The use of mobile phone also improved their virtual mobility by facilitating information flow and extending social networks. Moreover, community initiatives such as community activities and volunteers helped to improve their mobility. Conclusions Dashilar is an area with abundant transport resources and activity destination choices, but migrant workers living there still restrained their daily travel within the neighborhood. Although resources within the neighborhood facilitated daily necessities of migrant workers living in Dashilar, they seldom benefited from the resources outside the neighborhood, which played a larger role in promoting their social and cultural assimilation in the city. Their limited local social ties, individual time and money constraints, and institutional factors all contributed to their limited destination motivations and aspirations. To cope with these challenges, migrant workers and communities both adopted several strategies. These strategies could address the above challenges to some extent, but their limitations also fixed mobility of migrant workers. Combination of Internet of mobile phone and community initiatives was a feasible way to link migrant workers and local people, and help them to improve enlarge mobility space.

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Section: The Travel Behavior Of Residents Of Immigrant Neighborhoodsmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Restrained mobility in a high-accessible and migrant-rich area in downtown Beijing

Zhao

2017

Eur. Transp. Res. Rev.

View full text Add to dashboard Cite

show abstract

“…Most of the previous studies reveal that immigrants are more inclined toward the use of alternative modes, i.e., carpooling, ride sharing, public transit, walking, and biking, than US-born individuals [12,14,[16][17][18][19].…”

Section: Immigrant Travel Behaviormentioning

confidence: 99%

“…In comparison to the US-born population, immigrants generally live in neighborhoods with higher residential and employment densities where destinations are reachable by shorter walking or biking trips [14,16,17], or in dense urban neighborhoods with extensive transit service [19]. In general, immigrants reside in metropolitan areas at a rate of twice than the US-born [12].…”

Section: Immigrant Travel Behaviormentioning

confidence: 99%

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Understanding Immigrants' Travel Behavior in Florida: Neighborhood Effects and Behavioral Assimilation

Zaman¹

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Understanding Job-Housing Relationship from Cell Phone Data Based on Hadoop

Tang

et al. 2017

Advances in Geographic Information Science

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Travel behavior of immigrants: An analysis of the 2001 National Household Transportation Survey

Cited by 125 publications

References 13 publications

Restrained mobility in a high-accessible and migrant-rich area in downtown Beijing

Restrained mobility in a high-accessible and migrant-rich area in downtown Beijing

Understanding Immigrants' Travel Behavior in Florida: Neighborhood Effects and Behavioral Assimilation

Understanding Job-Housing Relationship from Cell Phone Data Based on Hadoop

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