TY - GEN
T1 - Simulating the Social Influence in Transport Mode Choices
AU - Salazar-Serna, Kathleen
AU - Xian Ng, Lynnette Hui
AU - Carley, Kathleen
AU - Cadavid, Lorena
AU - Franco, Carlos Jaime
N1 - Publisher Copyright:
© 2023 IEEE.
PY - 2023/12/10
Y1 - 2023/12/10
N2 - Agent-based simulations have been used in modeling transportation systems for traffic management and passenger flows. In this work, we hope to shed light on the complex factors that influence transportation mode decisions within developing countries, using Colombia as a case study. We model an ecosystem of human agents that decide at each time step on the mode of transportation they would take to work. Their decision is based on a combination of their personal satisfaction with the journey they had just taken, which is evaluated across a personal vector of needs, the information they crowdsource from their prevailing social network, and their personal uncertainty about the experience of trying a new transport solution. We simulate different network structures to analyze the social influence for different decision-makers. We find that in low/medium connected groups inquisitive people actively change modes cyclically over the years while imitators cluster rapidly and change less frequently.
AB - Agent-based simulations have been used in modeling transportation systems for traffic management and passenger flows. In this work, we hope to shed light on the complex factors that influence transportation mode decisions within developing countries, using Colombia as a case study. We model an ecosystem of human agents that decide at each time step on the mode of transportation they would take to work. Their decision is based on a combination of their personal satisfaction with the journey they had just taken, which is evaluated across a personal vector of needs, the information they crowdsource from their prevailing social network, and their personal uncertainty about the experience of trying a new transport solution. We simulate different network structures to analyze the social influence for different decision-makers. We find that in low/medium connected groups inquisitive people actively change modes cyclically over the years while imitators cluster rapidly and change less frequently.
KW - simulation
KW - social influence
KW - Motorcycles
KW - Agent-based modelling (ABM)
KW - Network analysis
UR - http://www.scopus.com/inward/record.url?scp=85185378103&partnerID=8YFLogxK
U2 - 10.1109/WSC60868.2023.10408063
DO - 10.1109/WSC60868.2023.10408063
M3 - Conference contribution
T3 - Proceedings - Winter Simulation Conference
SP - 3154
EP - 3165
BT - 2023 Winter Simulation Conference, WSC 2023
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 2023 Winter Simulation Conference, WSC 2023
Y2 - 10 December 2023 through 13 December 2023
ER -