Dataset on commuting patterns and mode-switching behavior under prospective policy scenarios for public transport

• Main Authors: Cristian Toşa, Tomio Miwa, Takayuki Morikawa
• Format: Article
• Language: English
• Published: Elsevier 2019-12-01
• Series: Data in Brief
• Online Access: http://www.sciencedirect.com/science/article/pii/S2352340919310583

This paper covers a broadly used methodology used in travel behavior research aiming at determining individual and alternative-specific variables that influence the choice of the transportation mode for commuting trips. Data used in the analysis were obtained in July 2015 by means of a computer-assisted telephonic interview survey conducted in Cluj Metropolitan Area, Romania. The survey collected a wide range of day-by-day travel patterns, socioeconomic data, and attitudes and perceptions toward urban transportation services. Given the lack of studies from emerging, post-socialist countries, the survey assigned a section dedicated to an alternative ticketing policy for public transport services in order to evaluate the willingness of commuters to switch to a more sustainable transportation through non-coercive interventions. A revealed preference – stated preference modelling methodology was adopted in order to reveal the role of socioeconomic characteristics, along with features of transport supply and built environment in explaining commuting patterns and forecast sustainable modal splits. Both the survey and the methodology are scalable and flexible to be used, adapted, and applied in a wide range of transport policies regarding modal shifting strategies. Keywords: Travel behavior, Experimental design, RP/SP mode choice model, Transport policy