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Investigating day-to-day variability of transit usage on a multimonth scale with smart card data. A case study in Lyon. (2020). Bonnel, Patrick ; Egu, Oscar.
In: Post-Print.
RePEc:hal:journl:halshs-03148937.

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Cited: 6

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Cites: 27

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Cocites: 26

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Coauthors: 0

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Citations

Citations received by this document

  1. Evaluation and determinants of metro users regularity: Insights from transit one-card data. (2024). Jin, Zejin ; Ma, Xinwei ; Tian, Xiaolin ; Cheng, Long ; Cui, Hongjun.
    In: Journal of Transport Geography.
    RePEc:eee:jotrge:v:118:y:2024:i:c:s096669232400142x.

    Full description at Econpapers || Download paper

  2. Travel behavior changes due to life events: Longitudinal evidence from Dutch couple households. (2023). Helbich, Marco ; Ettema, Dick ; Gao, Jie.
    In: Transportation Research Part A: Policy and Practice.
    RePEc:eee:transa:v:175:y:2023:i:c:s0965856423001854.

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  3. Examining regularity in vehicular traffic through Bluetooth scanner data: Is the daily commuter the regular road user?. (2023). Abewickrema, Wanuji ; Zahnow, Renee.
    In: Journal of Transport Geography.
    RePEc:eee:jotrge:v:109:y:2023:i:c:s0966692323000509.

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  4. Is “Attending Nearby School” Near? An Analysis of Travel-to-School Distances of Primary Students in Beijing Using Smart Card Data. (2022). Dai, Teqi ; Liao, Cong.
    In: Sustainability.
    RePEc:gam:jsusta:v:14:y:2022:i:7:p:4344-:d:787888.

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  5. Examining public transport usage by older adults with smart card data: A longitudinal study in Japan. (2021). Nakamura, Toshiyuki ; Yao, Enjian ; Yamamoto, Toshiyuki ; Liu, Shasha.
    In: Journal of Transport Geography.
    RePEc:eee:jotrge:v:93:y:2021:i:c:s0966692321000995.

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References

References cited by this document

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Cocites

Documents in RePEc which have cited the same bibliography

  1. Evaluation and determinants of metro users regularity: Insights from transit one-card data. (2024). Jin, Zejin ; Ma, Xinwei ; Tian, Xiaolin ; Cheng, Long ; Cui, Hongjun.
    In: Journal of Transport Geography.
    RePEc:eee:jotrge:v:118:y:2024:i:c:s096669232400142x.

    Full description at Econpapers || Download paper

  2. Social inequality and the changing patterns of travel in the pandemic and post-pandemic era. (2024). Baudains, Peter ; Manley, ED ; Choudhury, Charisma F ; Kalatian, Arash.
    In: Journal of Transport Geography.
    RePEc:eee:jotrge:v:118:y:2024:i:c:s0966692324001327.

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  3. A metro smart card data-based analysis of group travel behaviour in Shanghai, China. (2024). Martens, Karel ; Manley, ED ; Zhang, Yongping ; Batty, Michael.
    In: Journal of Transport Geography.
    RePEc:eee:jotrge:v:114:y:2024:i:c:s0966692323002363.

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  4. A clustering-based approach to quantifying socio-demographic impacts on urban mobility patterns. (2023). Samaranayake, Samitha ; Yang, Yang ; Dogan, Timur.
    In: Environment and Planning B.
    RePEc:sae:envirb:v:50:y:2023:i:9:p:2452-2469.

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  5. Exploring temporal variability in travel patterns on public transit using big smart card data. (2023). Levinson, David ; Cui, Mengying ; Zhao, Xia.
    In: Environment and Planning B.
    RePEc:sae:envirb:v:50:y:2023:i:1:p:198-217.

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  6. Immobility in a weekly mobility routine: studying the links between mobile and immobile days for employees and retirees. (2023). Bonin, Olivier ; Fen-Chong, Julie ; Motte-Baumvol, Benjamin.
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  7. Investigating occasional travel patterns based on smartcard transactions. (2023). Benenson, Itzhak ; Marinov, Maria ; Fulman, Nir.
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  9. A holistic data-driven framework for developing a complete profile of bus passengers. (2023). Liu, Xin ; Chen, Siyuan ; Tang, Tianli ; Vlacic, Ljubo ; Lyu, Cheng.
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  11. Investigating spatio-temporal mobility patterns and changes in metro usage under the impact of COVID-19 using Taipei Metro smart card data. (2022). Scheiner, Joachim ; Mutzel, Christian Martin.
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  21. Investigating day-to-day variability of transit usage on a multimonth scale with smart card data. A case study in Lyon. (2020). Bonnel, Patrick ; Egu, Oscar.
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