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Comparing bicycling and pedestrian mobility: Patterns of non-motorized human mobility in Greater Boston

Author

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  • Bongiorno, Christian
  • Santucci, Daniele
  • Kon, Fabio
  • Santi, Paolo
  • Ratti, Carlo

Abstract

During the past 100 years, many large cities around the world prioritized individual transportation in cars over more sustainable and healthier modes of transportation. As a result, traffic jams, air pollution, and fatal accidents are a daily reality in most metropolis, in both developed and developing countries. On the other hand, walking and bicycling are effective means of transportation for short to medium distances that offer advantages to both the city environment and the health of its citizens. While there is a large body of research in modeling and analysis of urban mobility based on motorized vehicles, there is much less research focusing on non-motorized vehicles, and almost no research on comparing pedestrian and cyclist behavior. In this paper, we present a detailed quantitative analysis of two datasets, for the same period and location, covering pedestrian and bike sharing mobility. We contrast the mobility patterns in the two modes and discuss their implications. We show how pedestrian and bike mobility are affected by temperature, precipitation and time of day. We also analyze the spatial distribution of non-motorized trips in Greater Boston and characterize the associated network of mobility flows with respect to multiple metrics. This work contributes to a better understanding of the characteristics of non-motorized urban mobility with respect to distance, duration, time of day, spatial distribution, as well as sensitivity to the weather.

Suggested Citation

  • Bongiorno, Christian & Santucci, Daniele & Kon, Fabio & Santi, Paolo & Ratti, Carlo, 2019. "Comparing bicycling and pedestrian mobility: Patterns of non-motorized human mobility in Greater Boston," Journal of Transport Geography, Elsevier, vol. 80(C).
    • Handle: RePEc:eee:jotrge:v:80:y:2019:i:c:s0966692319300870
    DOI: 10.1016/j.jtrangeo.2019.102501
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    2. Choi, Seung Jun & Jiao, Junfeng & Lee, Hye Kyung & Farahi, Arya, 2023. "Combatting the mismatch: Modeling bike-sharing rental and return machine learning classification forecast in Seoul, South Korea," Journal of Transport Geography, Elsevier, vol. 109(C).
    3. Avital Angel & Achituv Cohen & Sagi Dalyot & Pnina Plaut, 2023. "Impact of COVID-19 policies on pedestrian traffic and walking patterns," Environment and Planning B, , vol. 50(5), pages 1178-1193, June.

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