Influencing factors for potential bike-sharing users: an empirical analysis during the COVID-19 pandemic

被引:91
作者
Bergantino, Angela Stefania [1 ]
Intini, Mario [1 ]
Tangari, Luca [1 ]
机构
[1] Univ Bari Aldo Moro, Dept Econ Management & Business Law, Largo Abbazia S Scolastica 53, Bari, Italy
关键词
Bike-sharing; Influencing factors; Urban sustainable mobility; COVID-19; Active travel; Health; ROUTE CHOICE; BICYCLE; MOBILITY; TRANSPORT; ADOPTION; LESSONS; CITIES; USAGE; IF;
D O I
10.1016/j.retrec.2020.101028
中图分类号
F [经济];
学科分类号
02 ;
摘要
Climate change awareness is becoming widespread. The consequences of pollution are increasingly evident, and transport, being one of the main sources of congestion and pollution, is cited as the major culprit. In this context and as one of the few positive externalities of the COVID-19 pandemic, micro-mobility and, more generally, environmentally friendly and co-managed mobility, are gaining ground. In particular, bike-sharing has seen double-digit growth rates of diffusion and use in its various forms. It is a fast and efficient solution, with zero emissions, convenience, speed of movement for short distances and beneficial effects on users' health. However, its use is still rather limited in Italian cities. Through an online survey conducted at the national level in 2020, we shed light on the elements that determine the adoption of bike-sharing among potential users. Through factor analysis, ordered logit and probit regressions, we have identified the factors that facilitate the extensive adoption of this service. In addition, we have seen how consumers' habits have changed, comparing them in the pre- and post-COVID-19 lockdown periods and highlighting the health benefits for both potential and current users. The results and policy implications could be useful for local regulators and bike-sharing scheme operators.
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页数:11
相关论文
共 73 条
[1]   Enabling intermodal urban transport through complementary services: From Flexible Mobility Services to the Shared Use Mobility Agency Workshop 4. Developing inter-modal transport systems [J].
Ambrosino, Giorgio ;
Nelson, John D. ;
Boero, Marco ;
Pettinelli, Irene .
RESEARCH IN TRANSPORTATION ECONOMICS, 2016, 59 :179-184
[2]  
Attard M., 2015, SUSTAINABLE URBAN TR, P14
[3]  
Autorit`a di Regolazione dei Trasporti (ART), 2020, IND SULL MOB CITT AZ IND SULL MOB CITT AZ
[4]   Better Understanding of Factors Influencing Likelihood of Using Shared Bicycle Systems and Frequency of Use [J].
Bachand-Marleau, Julie ;
Lee, Brian H. Y. ;
El-Geneidy, Ahmed M. .
TRANSPORTATION RESEARCH RECORD, 2012, (2314) :66-71
[5]  
Barajas J. M., 2020, ARE CYCLING WALKING
[6]  
Bergantino A. S., 2019, GREEN WORKING PAPER
[7]  
Bergantino A. S., 2020, MOBILITA SVILUPPO TU MOBILITA SVILUPPO TU
[8]  
Bergantino AS, 2016, INT J TRANSP ECON, V43, P341
[9]  
Beria P, 2020, PRESENCE MOBILITY PO
[10]   Introducing non-normality of latent psychological constructs in choice modeling with an application to bicyclist route choice [J].
Bhat, Chandra R. ;
Dubey, Subodh K. ;
Nagel, Kai .
TRANSPORTATION RESEARCH PART B-METHODOLOGICAL, 2015, 78 :341-363