Development of a multifactorial prediction model for commute mode choice in 10 983 Finnish public sector employees: a cross-sectional study.

ABSTRACT:

Objective

The objective of this study is to examine the feasibility of using survey data to identify factors that predict commute mode choice.

Design

The study design is cross-sectional.

Setting

Survey data from the Finnish Public Sector study (2020) were used.

Participants

42 574 public sector employees, of whom 10 983 were selected for the final sample. These included employees with 5 km or less commuting distances and those working full-time onsite or partly remotely. The mean age was 46 (SD 11) years, and 84% were women.

Primary outcomes

Commute by (1) bike or foot (an active mode) during summer and winter weather and (2) by car (a passive mode) during summer and winter weather.

Methods

Using logistic Lasso (least-absolute-shrinkage-and-select

SUBMITTER: Makkonen A 

PROVIDER: S-EPMC11487787 | biostudies-literature | 2024 Oct

REPOSITORIES: biostudies-literature