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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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    References listed on IDEAS

    as
    1. Kevin J Krizek & Susan L Handy & Ann Forsyth, 2009. "Explaining Changes in Walking and Bicycling Behavior: Challenges for Transportation Research," Environment and Planning B, , vol. 36(4), pages 725-740, August.
    2. Xiaolu Zhou, 2015. "Understanding Spatiotemporal Patterns of Biking Behavior by Analyzing Massive Bike Sharing Data in Chicago," PLOS ONE, Public Library of Science, vol. 10(10), pages 1-20, October.
    3. Pucher, John & Komanoff, Charles & Schimek, Paul, 1999. "Bicycling renaissance in North America?: Recent trends and alternative policies to promote bicycling," Transportation Research Part A: Policy and Practice, Elsevier, vol. 33(7-8), pages 625-654.
    4. Crane, Randall, 1998. "Travel By Design?," University of California Transportation Center, Working Papers qt3pc4v6jj, University of California Transportation Center.
    5. Corcoran, Jonathan & Li, Tiebei & Rohde, David & Charles-Edwards, Elin & Mateo-Babiano, Derlie, 2014. "Spatio-temporal patterns of a Public Bicycle Sharing Program: the effect of weather and calendar events," Journal of Transport Geography, Elsevier, vol. 41(C), pages 292-305.
    6. Faghih-Imani, Ahmadreza & Eluru, Naveen & El-Geneidy, Ahmed M. & Rabbat, Michael & Haq, Usama, 2014. "How land-use and urban form impact bicycle flows: evidence from the bicycle-sharing system (BIXI) in Montreal," Journal of Transport Geography, Elsevier, vol. 41(C), pages 306-314.
    7. Ann Forsyth & Mary Hearst & J. Michael Oakes & Kathryn H. Schmitz, 2008. "Design and Destinations: Factors Influencing Walking and Total Physical Activity," Urban Studies, Urban Studies Journal Limited, vol. 45(9), pages 1973-1996, August.
    8. Greg Rybarczyk & Changshan Wu, 2014. "Examining the Impact of Urban Morphology on Bicycle Mode Choice," Environment and Planning B, , vol. 41(2), pages 272-288, April.
    9. McKenzie, Grant, 2019. "Spatiotemporal comparative analysis of scooter-share and bike-share usage patterns in Washington, D.C," Journal of Transport Geography, Elsevier, vol. 78(C), pages 19-28.
    10. Emma M Bill & Graham Baker & Neil S Ferguson & David Drinkwater & Nanette Mutrie, 2015. "Representing Active Travel: A Formative Evaluation of a Computer Visualisation Tool Demonstrating a New Walking and Cycling Route," Environment and Planning B, , vol. 42(3), pages 450-467, June.
    11. Meghan Winters & Michael Brauer & Eleanor M Setton & Kay Teschke, 2013. "Mapping Bikeability: A Spatial Tool to Support Sustainable Travel," Environment and Planning B, , vol. 40(5), pages 865-883, October.
    12. Alderighi, Marco & Cento, Alessandro & Nijkamp, Peter & Rietveld, Piet, 2005. "Network competition—the coexistence of hub-and-spoke and point-to-point systems," Journal of Air Transport Management, Elsevier, vol. 11(5), pages 328-334.
    13. Pucher, J. & Buehler, R. & Merom, D. & Bauman, A., 2011. "Walking and cycling in the United States, 2001-2009: Evidence from the National Household Travel Surveys," American Journal of Public Health, American Public Health Association, vol. 101(SUPPL. 1), pages 310-317.
    14. Crane, Randall & Crepeau, Richard, 1998. "Does Neighborhood Design Influence Travel?: Behavioral Analysis of Travel Diary and GIS Data," University of California Transportation Center, Working Papers qt4pj4s7t8, University of California Transportation Center.
    15. Bagler, Ganesh, 2008. "Analysis of the airport network of India as a complex weighted network," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 387(12), pages 2972-2980.
    16. Advait Sarkar & Neal Lathia & Cecilia Mascolo, 2015. "Comparing cities’ cycling patterns using online shared bicycle maps," Transportation, Springer, vol. 42(4), pages 541-559, July.
    17. Pikora, Terri & Giles-Corti, Billie & Bull, Fiona & Jamrozik, Konrad & Donovan, Rob, 2003. "Developing a framework for assessment of the environmental determinants of walking and cycling," Social Science & Medicine, Elsevier, vol. 56(8), pages 1693-1703, April.
    18. O’Brien, Oliver & Cheshire, James & Batty, Michael, 2014. "Mining bicycle sharing data for generating insights into sustainable transport systems," Journal of Transport Geography, Elsevier, vol. 34(C), pages 262-273.
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    1. Wei Lu & Yuechen Li & Rongkun Zhao & Bo He & Zihua Qian, 2022. "Spatial Pattern and Fairness Measurement of Educational Resources in Primary and Middle Schools: A Case Study of Chengdu–Chongqing Economic Circle," IJERPH, MDPI, vol. 19(17), pages 1-23, August.
    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.
    4. Hui Bi & Zhirui Ye & He Zhu, 2024. "Mining bike sharing trip record data: a closer examination of the operating performance at station level," Transportation, Springer, vol. 51(3), pages 1015-1041, June.

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