Modeling Tourist Transportation Mode Choice and Trip Chains Through Key Influencing Factors

To understand tourist behavior and the factors influencing it, a thorough analysis of transportation mode choice and trip chain is required, especially from the tourists' perspective. Therefore, this study aims to model transportation mode choice and trip chain in the Bira Peninsula, Bulukumba Regency, South Sulawesi. To achieve this, a quantitative method was employed with a sample size of 500 tourists. The study results show that independent variables significantly impact dependent variables, such as individual characteristics, movement characteristics, destination attributes, mode choice attributes, and trip chains. Several indicators showed a significant influence for transportation mode choice with a confidence level of over 85%. These indicators include age, income, origin location, destination location, number of visits, group size, flexibility, facilities, ease of access, activity type, cost, distance, time, and safety. Similarly, the analysis identified several key indicators affecting the trip chain, with a significance level above 85%. These indicators include age, income, origin, destination location, estimated arrival time, number of visits, flexibility, and destination attraction. Other indicators include facilities, ease of access, trip purpose, activity type, travel time, distance from the city center to the tourist destination, cost, distance, time, and safety. Two significant indicators found as differentiators from previous research are flexibility and type of activity. The study demonstrated high accuracy for the mode choice model and the trip chain model, with validity rates of 98.40% and 97.65%, respectively. The findings indicate that the model accurately captures the factors influencing transportation mode choice and trip chains, making it a valuable reference for future explorations to improve transportation systems' efficiency and comfort. Doi: 10.28991/CEJ-2025-011-02-017 Full Text: PDF

Authors

Institutions

Publication Details

Journal
Civil Engineering Journal
Published
2025-02-01
DOI
https://doi.org/10.28991/cej-2025-011-02-017
Citations
1
Primary Topic
Urban and Freight Transport Logistics
Type
article
Field-Weighted Citation Impact
1.01
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Modeling Tourist Transportation Mode Choice and Trip Chains Through Key Influencing Factors

M. Isran Ramli, Muralia Hustim, Indriaty Wulansari, Sumarni Hamid Aly
1 citations
Civil Engineering Journal
Urban and Freight Transport Logistics
1.01
article

Modeling Tourist Transportation Mode Choice and Trip Chains Through Key Influencing Factors

M. Isran Ramli, Muralia Hustim, Indriaty Wulansari, Sumarni Hamid Aly
article en
1 citations

Abstract

To understand tourist behavior and the factors influencing it, a thorough analysis of transportation mode choice and trip chain is required, especially from the tourists' perspective. Therefore, this study aims to model transportation mode choice and trip chain in the Bira Peninsula, Bulukumba Regency, South Sulawesi. To achieve this, a quantitative method was employed with a sample size of 500 tourists. The study results show that independent variables significantly impact dependent variables, such as individual characteristics, movement characteristics, destination attributes, mode choice attributes, and trip chains. Several indicators showed a significant influence for transportation mode choice with a confidence level of over 85%. These indicators include age, income, origin location, destination location, number of visits, group size, flexibility, facilities, ease of access, activity type, cost, distance, time, and safety. Similarly, the analysis identified several key indicators affecting the trip chain, with a significance level above 85%. These indicators include age, income, origin, destination location, estimated arrival time, number of visits, flexibility, and destination attraction. Other indicators include facilities, ease of access, trip purpose, activity type, travel time, distance from the city center to the tourist destination, cost, distance, time, and safety. Two significant indicators found as differentiators from previous research are flexibility and type of activity. The study demonstrated high accuracy for the mode choice model and the trip chain model, with validity rates of 98.40% and 97.65%, respectively. The findings indicate that the model accurately captures the factors influencing transportation mode choice and trip chains, making it a valuable reference for future explorations to improve transportation systems' efficiency and comfort. Doi: 10.28991/CEJ-2025-011-02-017 Full Text: PDF

Civil Engineering JournalVol. 11(2)
Hasanuddin University (ID)
Openalex Percentile: Top 28%
Urban and Freight Transport Logistics
1.01
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.