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Train-feeder modes in Italy. Is there a role for active mobility?

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  • Giansoldati, Marco
  • Danielis, Romeo
  • Rotaris, Lucia

Abstract

The transport mode used to reach a train station is an important determinant of the urban traffic and rail transport attractiveness. In this paper, we have investigated train-feeder mode choice on the basis of 185 interviews with Italian train users living in cities of different size. We analyzed their current choice and their stated choices under hypothetical scenarios using various discrete choice model specifications. Their current train-feeder mode choice is mainly car-based: 63.2% of the respondents use the car, as either drivers or passengers. The active modes cycling and walking are chosen by 18.4% and 9.7% of the respondents, respectively; the remaining using either the bus or the scooter. Our estimates confirm that travel time and travel cost play a relevant role with two covariates, commuter and gender, explaining the large heterogeneity of the active mobility travel time variable. However, the performed scenario analysis suggests that, in many instances, it is extremely difficult to alter the existing train-feeder mode choice in favor of the active modes and that promoting active mobility in Italy requires a coordinated effort at many levels, including territorial planning, infrastructural investment and traffic regulations.

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  • Giansoldati, Marco & Danielis, Romeo & Rotaris, Lucia, 2021. "Train-feeder modes in Italy. Is there a role for active mobility?," Research in Transportation Economics, Elsevier, vol. 86(C).
    • Handle: RePEc:eee:retrec:v:86:y:2021:i:c:s0739885920301888
    DOI: 10.1016/j.retrec.2020.100990
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    1. Yang, Xing-Qi & Huang, Hai-Jun, 2022. "Effects of HSR station location on urban spatial structure: A spatial equilibrium analysis for a two-city system," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 166(C).

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    More about this item

    Keywords

    Active mobility; Walking; Cycling; Train feeder modes; Commuters; Gender; Revealed preferences; Stated preferences;
    All these keywords.

    JEL classification:

    • R41 - Urban, Rural, Regional, Real Estate, and Transportation Economics - - Transportation Economics - - - Transportation: Demand, Supply, and Congestion; Travel Time; Safety and Accidents; Transportation Noise
    • R42 - Urban, Rural, Regional, Real Estate, and Transportation Economics - - Transportation Economics - - - Government and Private Investment Analysis; Road Maintenance; Transportation Planning
    • R48 - Urban, Rural, Regional, Real Estate, and Transportation Economics - - Transportation Economics - - - Government Pricing and Policy

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