How much does the method matter? An empirical comparison of ways to quantify the influence of residential self-selection

Herick, David van; Mokhtarian, Patricia L.

doi:10.1016/j.tbs.2019.09.002

Cited by 23 publications

(6 citation statements)

References 36 publications

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“…Lund (2003) found comparable results for the frequency of walking trips. Conversely, Schwanen and Mokhtarian (2005), Bohte (2010), Naess (2009), Ewing et al (2016) and Van Herick and Mokhtarian (2020), did find significant influences of the built environment on car use when attitudes and mismatches were controlled for. For more extensive insight, we refer to Mokhtarian and Cao (2008), Bohte et al (2009), Gim, (2013) and Heinen et al (2018).…”

Section: Introductionmentioning

confidence: 87%

Causes and effects between attitudes, the built environment and car kilometres: A longitudinal analysis

Coevering

Maat

Wee

2021

Journal of Transport Geography

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Travel-related attitudes are believed to affect the connections between the built environment and travel behaviour. Previous studies found supporting evidence for the residential self-selection hypothesis which suggests that the impact of the built environment on travel behaviour could be overestimated when attitudes are not accounted for. However, this hypothesis is under scrutiny as the reverse causality hypothesis, which implies a reverse direction of influence from the built environment towards attitudes, is receiving increased attention in recent research. This study tests both directions of influence by means of cross-sectional and longitudinal structural equation models. GPS tracking is used to assess changes in travel behaviour in terms of car kilometres travelled. The outcomes show stronger reverse causality effects than residential self-selection effects and that land-use policies significantly reduce car kilometres travelled. Moreover, the longitudinal models show that the built environment characteristics provide a better explanation for changes in car kilometres travelled than the travel-related attitudes. This contradicts the cross-sectional analysis where associations between car kilometres travelled and travel-related attitudes were stronger. This highlights the need for more longitudinal studies in this field.

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Section: Introductionmentioning

confidence: 87%

Causes and effects between attitudes, the built environment and car kilometres: A longitudinal analysis

Coevering

Maat

Wee

2021

Journal of Transport Geography

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“…Indeed, these positive health outcomes of the various built environments have also been criticized potentially due to the impacts of self-selection and the MAUP ( 8 , 9 ). For instance, certain studies use cross-sectional data to examine the built environment—physical activity relationship would fail to account for neighborhood self-selection effect ( 10 ), which becomes one of the major limitations of evidence ( 11 ).…”

Section: Introductionmentioning

confidence: 99%

Role of Built Environments on Physical Activity and Health Promotion: A Review and Policy Insights

Zhong

Liu

Niu

et al. 2022

Front. Public Health

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As urbanization and motorization continue worldwide, various health issues have emerged as a burden between individuals, families and governments at all levels. Under the prevalence of chronic disease, this review synthesizes research on the impact of the various built environments on the multiple health outcomes from a methodological and mechanistic perspective. Besides, it attempts to provide useful planning and policy implications to promote physical activity and health benefits. The finds show that: (1) Current literature has used a variety of dataset, methods, and models to examine the built environment–health benefit connections from the perspective of physical activity; (2) The prevalence of chronic diseases is inextricably linked to the built environment, and policy interventions related to physical activity and physical and mental wellbeing of urban residents should be emphasized; (3) The impact of the built environment on health is manifested in the way various elements of the physical environment guide the lifestyle of residents, thereby influencing physical activity and travel; (4) Given the changes that have occurred in the built environment during the current urban expansion, the link between urban planning and the public health sector should be strengthened in the future, and the relevant authorities should actively pursue policies that promote urban public health in order to improve the health of residents. Finally, it proposes potential policy insights for urban planning and development toward a healthier city and society.

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“…A third debate focuses on the magnitude of the importance of RSS for travel behavior in general, as well as relative to the stand-alone impact of the BE on travel behavior (Mokhtarian and van Herick, 2016). Some studies find only few impacts, whereas other studies find the impact of RSS to strongly downplay the (independent) role of the BE (van Herick and Mokhtarian, 2020). In particular, they conclude, based on a review of 39 studies (and including 56 models) published before 2016, that of the total influence of the BE in these models 36-100% can be attributed to the BE itself.…”

Section: Empirical Findingsmentioning

confidence: 99%

“…Because of uncertainty about the contribution of RSS in explaining the impact of the BE on travel behavior, as well as about the potential implications for policy, it is of paramount importance for both researchers and practitioners to better understand the phenomenon of RSS. The uncertainty mainly relates to the varying quantitative effects of BE variables on travel behavior indicators, such as mode choice and vehicle miles traveled (van Herick and Mokhtarian, 2020), and also on residential choice. Changes in travel behavior and residential choice do influence the environment and accessibility levels, and because of the uncertainties in residential choice and travel behavior, these influences are also uncertain.…”

Section: Introductionmentioning

confidence: 99%

Residential self-selection in the relationship between the built environment and travel behavior: A literature review and research agenda

Wee

Cao

2022

Advances in Transport Policy and Planning

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This chapter gives an overview of the current debates on residential self-selection and presents a related research agenda. Here, we define residential self-selection as "the tendency of people to choose residential locations based on their travel abilities, needs and preferences." Debates relate to theory/causalities (including the role of attitudes), research methods, empirical findings (including the magnitude of the importance of residential self-selection for the influence of the built environment on travel behavior and the dominance of OECD (Organization for Economic Co-operation and Development) countries), and the implications for planning. The main contribution is Advances in Transport Policy and Planning # 2020 Elsevier Inc.

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How much does the method matter? An empirical comparison of ways to quantify the influence of residential self-selection

Cited by 23 publications

References 36 publications

Causes and effects between attitudes, the built environment and car kilometres: A longitudinal analysis

Causes and effects between attitudes, the built environment and car kilometres: A longitudinal analysis

Role of Built Environments on Physical Activity and Health Promotion: A Review and Policy Insights

Residential self-selection in the relationship between the built environment and travel behavior: A literature review and research agenda

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