Model of Truck Travel Timeliness Based on Driver Environment Psychology and Technical Factor: A Warp.PLS-SEM Approach

Abstract

Abstract The importance of knowing the factors that influence coal transportation travel time based on driver behavior through work motivation. This research to assess the effect of presents inferential statistical data that determined the impact of environmental psychology and technical factors such as operational operational, social, health conditions, road quality, truck conditions, and weather on the travel timeliness with intervening work motivation. The data collected from 116 coal drivers using coal haul private roads in South Kalimantan, Indonesia. The research method uses qualitative and quantitative with structured drivers demographic and behavior questionnaires distributed to drivers. Structural equation modeling (SEM) using the Warp. PLS version 6 package to display the primary data results. Result-based research analysis on the hypothesis shows the more significant the road quality of coal haul drivers will increase work motivation and travel timeliness via work motivation. The higher the work motivation of coal haul drivers will increase travel timeliness performance. Based on the research equation that increasing operational working conditions, social conditions, road quality, truck conditions, weather conditions, and work motivation tend to increase travel timeliness. However, for health conditions negatively affect travel timeliness through work motivation, so the better health conditions will reduce travel timeliness.

Cite this work

No public copy is stored for this record, so only the metadata is cited.

Stored only when both papers are in the corpus — 2 citations exist upstream.

Papers that cite the same references — the relational fallback while embeddings are still backfilling.