TY - JOUR
T1 - Commuting to the future
T2 - Assessing the relationship between individuals’ usage of information and communications technology, personal attitudes, characteristics and mode choice
AU - van Lierop, Dea
AU - Bahamonde-Birke, Francisco J.
N1 - Publisher Copyright:
© 2021, The Author(s).
PY - 2021
Y1 - 2021
N2 - Innovations in transportation and communications technologies influence the development of cities and how people move through them. Since the widespread adoption of smartphones, mobility and information and communication technology (ICT) have become increasingly interconnected, and there may be a possibility for mobile technologies to nudge, or influence, individuals to travel using sustainable, and collective modes. It remains unclear whether social, financial, or ICT incentives would be effective to nudge the use of sustainable modes. The objective of the study is to understand the reasons affecting modal choices and how the use of ICTs and personal opinions and attitudes influence the decision-making process. A discrete choice model is used to consider five transportation alternatives including three single modes, namely bicycle, transit, and car, and two multimodal possibilities, bicycle and transit as well as park and ride (car and transit). The target population for this study are Utrecht University employees, who travel to a large university campus located in Utrecht, the Netherlands. The results of the person-based mode-choice model demonstrate that strong correlations exist between the kinds of mobile applications individuals use, their attitudes towards travel, their personal characteristics and their transportation mode. No mobile application seems to favor the use of active modes, which cast doubts upon the use of ICT to promote sustainable transportation. However, social incentives may play an important role for certain groups as individuals who are influenced by their friends, family, and colleagues, are less likely to travel by car or to use park & ride facilities.
AB - Innovations in transportation and communications technologies influence the development of cities and how people move through them. Since the widespread adoption of smartphones, mobility and information and communication technology (ICT) have become increasingly interconnected, and there may be a possibility for mobile technologies to nudge, or influence, individuals to travel using sustainable, and collective modes. It remains unclear whether social, financial, or ICT incentives would be effective to nudge the use of sustainable modes. The objective of the study is to understand the reasons affecting modal choices and how the use of ICTs and personal opinions and attitudes influence the decision-making process. A discrete choice model is used to consider five transportation alternatives including three single modes, namely bicycle, transit, and car, and two multimodal possibilities, bicycle and transit as well as park and ride (car and transit). The target population for this study are Utrecht University employees, who travel to a large university campus located in Utrecht, the Netherlands. The results of the person-based mode-choice model demonstrate that strong correlations exist between the kinds of mobile applications individuals use, their attitudes towards travel, their personal characteristics and their transportation mode. No mobile application seems to favor the use of active modes, which cast doubts upon the use of ICT to promote sustainable transportation. However, social incentives may play an important role for certain groups as individuals who are influenced by their friends, family, and colleagues, are less likely to travel by car or to use park & ride facilities.
KW - Attitudes
KW - Information and communications technology
KW - Mode choice
KW - Sustainable travel
UR - http://www.scopus.com/inward/record.url?scp=85108658988&partnerID=8YFLogxK
U2 - 10.1007/s11067-021-09534-9
DO - 10.1007/s11067-021-09534-9
M3 - Article
AN - SCOPUS:85108658988
SN - 1566-113X
JO - Networks and Spatial Economics
JF - Networks and Spatial Economics
ER -