Exploring the association between teleworking, mobility, and residential patterns

The rise in teleworking in recent years posed important questions about its impact on mobility and land uses. Several studies examined the association between teleworking, mobility, and residential patterns. However, most conceptualise teleworking as a uniform practice, overlooking differences in its intensity.

This research addresses this gap by analysing the association between different teleworking intensities, modal choices, and residential decisions in the Madrid Region. Based on the results of a survey with more than 15,000 responses, this research combines descriptive analyses, bivariate association models, and multivariate logistic regression models for analysing changes in modal choices and residential decisions regarding teleworking intensity. The results show that different teleworking intensities are associated with different behavioural changes. The combination of working from the office and from home is associated with minor changes in modal choices, while higher teleworking intensities are associated with more significant changes in modal choices and residential decisions. Socioeconomic characteristics are also associated with these changes, particularly gender, age, household structure, transport options, and residential characteristics. Overall, the results highlight the importance of including teleworking intensity into analyses of mobility and urban dynamics, contributing to a more nuanced understanding of the association between teleworking, mobility, and residential patterns.

Supporting evidence

Based on a large-scale survey conducted in the Madrid Region, comprising more than 15,000 responses, the authors employ three analytical approaches: descriptive analysis, bivariate association models, and multivariate logistic regression models. Descriptive analysis helps characterise patterns in respondents’ behaviour, while bivariate models examine associations between variables. Multivariate logistic regression allows the researchers to investigate mobility and residential outcomes while accounting for relevant characteristics. Together, these methods provide a structured quantitative approach to investigating the research questions.

Key findings

One key finding is that teleworking intensity is associated with changes in transport choices. Individuals combining office-based work with working from home tend to experience relatively minor changes in their modal choices. By contrast, higher levels of teleworking are associated with more substantial changes in how people travel. This suggests that the frequency of working remotely matters when examining the relationship between employment arrangements and mobility.

A second important finding concerns residential relocation. The authors’ highlights distinguish between moderate- and high-intensity teleworking. The association between high-intensity teleworking and changes in mobility patterns indicates that extensive remote working may be linked not only to changes in daily travel but also to decisions about where people live. The paper further highlights that relocation patterns vary spatially, suggesting that the relationship between teleworking and residential change differs across locations.

Third, socioeconomic and household characteristics are associated with mobility and residential decisions. The research specifically identifies gender, age, household structure, transport options, and residential characteristics as relevant factors. Consequently, the effects associated with teleworking intensity should be understood alongside individual circumstances, household needs, and access to transport.

Overall, the study emphasises the importance of distinguishing between different levels of teleworking when analysing urban mobility and residential patterns. Its findings offer a more nuanced perspective on how remote-working arrangements relate to travel behaviour and residential decisions. This research identified associations between teleworking intensity, mobility choices, and residential decisions. However, its multidimensional nature gives rise to complex causal relationships that are difficult to determine. The findings are particularly relevant to transport planning and urban policy because they indicate that mobility and residential responses may differ according to both teleworking intensity and socioeconomic circumstances.