We studied individual distance travelled for woodland leisure trips in Wallonia.

Variables describing the individual-, residential- and destination-level characteristics were analysed.

Cross-classified multilevel regression models were built.

Walking, cycling and car-borne trip distance responded differently to variables at different levels.

Our study could provide new methodological insights for trip distance estimation in woodland recreation demand models.