Residential dissonance and mode choice

Kamruzzaman, Md.; Baker, Douglas; Washington, Simon; Turrell, Gavin

doi:10.1016/j.jtrangeo.2013.09.004

Cited by 83 publications

(52 citation statements)

References 84 publications

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“…Policy interventions aimed at reducing the transport/land use impacts on the environment can be classified into push (e.g., travel behavioral changes by reducing the attractiveness of the car through higher taxes) and pull (e.g., travel behavioral changes by improving the attractiveness of public transport services by lowering fares and designing walkable roads) measures (Cools et al 2009;Kamruzzaman et al 2013). These measures can again be classified as soft or psychological (e.g., campaign, individualized travel planning, teleworking and car pooling) and hard/structural (i.e., modification in infrastructure or legislation) interventions (Department for Transport 2009; Graham-Rowe et al 2011).…”

Section: Methodsmentioning

confidence: 99%

Investigating the interplay between transport, land use and the environment: a review of the literature

Yiğitcanlar

Kamruzzaman

2014

Int. J. Environ. Sci. Technol.

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Integration of land use and transport decisions to achieve sustainable travel behavior has been considered an integral element for sustainable urban development. However, before the popularity of urban sustainability concept, land use and transport interaction had been scrutinized as strictly separate entities in the urban planning and development domains. Fortunately, today the concept of sustainability has been pushed to the forefront of policy-making and politics as the world wakes up to the impacts of climate change and the effects of the rapid urbanization and modern urban lifestyles. The paper therefore aims to highlight the importance of the interplay between transport, land use and the environment. This review paper provides evidence from the literature including the Transport, Land Use and the Environment Special Issue contributions and global best practice cases to showcase new empirical approaches and investigations from different parts of the world that contribute to the wealth of knowledge in exploring the interplay between transport, land use and the environment thoroughly.

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Section: Methodsmentioning

confidence: 99%

Investigating the interplay between transport, land use and the environment: a review of the literature

Yiğitcanlar

Kamruzzaman

2014

Int. J. Environ. Sci. Technol.

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“…The big difference in mode share between TOD and TAD (e.g. auto mode shares in TAD and TOD are 68% and 25%, respectively) is observed in other studies (Renne, 2009;Renne and Ewing, 2013), sometimes less dramatically-approximately 70% (TOD) vs. 85% (non-TOD) (Kamruzzaman et al, 2013;Jeihani et al, 2013).…”

Section: Resultsmentioning

confidence: 55%

How Does Transportation Affordability Vary Among TODs, TADs, and Other Areas

Scheer¹,

Ewing²,

Park³

et al. 2017

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Type of Report and Period CoveredFinal Report 14. Sponsoring Agency Code Supplementary Notes AbstractTransit-oriented development (TOD) has gained popularity worldwide as a sustainable form of urbanism; it concentrates development near a transit station so as to reduce auto-dependency and increase ridership. Existing travel behavior studies in the context of TOD, however, are limited in terms of small sample size, inconsistent TOD classification methods, and failure to control for residential self-selection. Thus, this study has three research questions. First, how can we distinguish between Transit-oriented development (TOD) and Transit-adjacent development (TAD)? Second, how do travel behaviors vary between TODs and TADs? Third, how does transportation affordability vary between TODs and TADs? This study utilizes cluster analysis to classify station area types and propensity score matching to control residential self-selection. From cluster analysis with built-environment factors-density, diversity, and walkability-in a half-mile buffer, this study classifies existing station areas as TOD, TAD or Hybrid types. After controlling for residential self-selection, it shows that a TOD motivates its residents to walk more and take transit more while using personal vehicles less. The significant difference between TOD and TAD in both VMT and the number of auto trips demonstrates that TODs make the personal vehicle trips shorter and fewer. Travel behavior in the Hybrid type demonstrates the possibility of gradual and practical change. Finally, the percentage of household income spent on transportation is lower in TOD households than TAD households. This shows that a TOD household is likely to save enough money on vehicle ownership and use that, while it likely spends more on transit, the final result is a significantly lower financial burden from transportation.17.

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“…However, it is difficult to monitor changes in behaviour over time using this type of dataset because they are not collected from the same individuals over the periods. Consequently, panel surveys reflect the preferred option for modelling the dynamics of behaviour at the individual level (Kamruzzaman et al 2013). However, panel data are rarely available in transport research (Bhat and Guo 2007); and when and where they exist, their spatial and temporal coverage is often quite limited (Dargay 2007).…”

Section: Datamentioning

confidence: 99%

“…reduced income, loss of jobs, driving cessation, poorer health) have been identified as significant predictors of travel behaviour change. For example, Kamruzzaman et al (2013) have shown that individuals with better health are more likely to make a modal shift to AT. Life events (e.g.…”

Section: Introductionmentioning

confidence: 99%

Australian baby boomers switched to more environment friendly modes of transport during the global financial crisis

Kamruzzaman

Yiğitcanlar

Washington

et al. 2014

Int. J. Environ. Sci. Technol.

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The global financial crisis (GFC) in 2008 rocked economies around the world. Several intermediate outcomes of the GFC included loss of jobs and reduced income. Relatively little research has, however, examined the impacts of the GFC on individual level travel behaviour change. To address this shortcoming, HABITAT panel data were employed to estimate a multinomial logit model to examine mode switching behaviour between 2007 and 2009 of a baby boomers cohort in Brisbane, Australia-a city within a developed country that has been on many metrics the least affected by the GFC. In addition, a Poisson regression model was estimated to model the number of trips made by individuals in 2007, 2008, and 2009. The South East Queensland travel survey datasets were used to develop this model. Four linear regression models were estimated to assess the effects of the GFC on time allocated to travel during a day: one for each of the three travel modes including public transport, active transport, less environmentally friendly transport; and an overall travel time model irrespective of mode. The results reveal that the baby boomers switched to more environmentally friendly travel modes during the GFC.

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Residential dissonance and mode choice

Cited by 83 publications

References 84 publications

Investigating the interplay between transport, land use and the environment: a review of the literature

Investigating the interplay between transport, land use and the environment: a review of the literature

How Does Transportation Affordability Vary Among TODs, TADs, and Other Areas

Australian baby boomers switched to more environment friendly modes of transport during the global financial crisis

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