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Leveraging Big Data for the Development of Transport Sustainability Indicators

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  • Caitlin D. Cottrill
  • Sybil Derrible

Abstract

While increasing transportation sustainability is an ongoing effort, measuring the results of these efforts is not a trivial task. Not only is indicator selection challenging, but efforts made to design useful indicators are often hampered by the presence of erroneous or incomplete data. Nevertheless, in this era of Big Data, the significant penetration of new technologies such as smartphones and smart infrastructure could hold the key to developing more relevant and comprehensive indicators. Here, we recall commonly used indicators and discuss the limitations of the data upon which they are built. We then describe several new technologies that hold promise for collection of more pertinent and accurate data sets for indicator development. Finally, we illustrate potential benefits and concerns of these approaches via discussion of possible indicator development from a one-day GPS trace. While the first and obvious application of new technologies will be to improve much needed accuracy, successfully combining different sources together could hold much potential from model calibration to real-time operations.

Suggested Citation

  • Caitlin D. Cottrill & Sybil Derrible, 2015. "Leveraging Big Data for the Development of Transport Sustainability Indicators," Journal of Urban Technology, Taylor & Francis Journals, vol. 22(1), pages 45-64, January.
  • Handle: RePEc:taf:cjutxx:v:22:y:2015:i:1:p:45-64
    DOI: 10.1080/10630732.2014.942094
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    Citations

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    Cited by:

    1. Steven C Bourassa & Martin Hoesli & Louis Merlin & John Renne, 2021. "Big data, accessibility and urban house prices," Urban Studies, Urban Studies Journal Limited, vol. 58(15), pages 3176-3195, November.
    2. Viacheslav Morozov & Vladimir Shepelev & Viktor Kostyrchenko, 2022. "Modeling the Operation of Signal-Controlled Intersections with Different Lane Occupancy," Mathematics, MDPI, vol. 10(24), pages 1-24, December.
    3. Wang, Xiangrong & Koç, Yakup & Derrible, Sybil & Ahmad, Sk Nasir & Pino, Willem J.A. & Kooij, Robert E., 2017. "Multi-criteria robustness analysis of metro networks," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 474(C), pages 19-31.
    4. Chung, Sai-Ho, 2021. "Applications of smart technologies in logistics and transport: A review," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 153(C).
    5. Cottrill, Caitlin D., 2020. "MaaS surveillance: Privacy considerations in mobility as a service," Transportation Research Part A: Policy and Practice, Elsevier, vol. 131(C), pages 50-57.
    6. Danaf, Mazen & Atasoy, Bilge & de Azevedo, Carlos Lima & Ding-Mastera, Jing & Abou-Zeid, Maya & Cox, Nathaniel & Zhao, Fang & Ben-Akiva, Moshe, 2019. "Context-aware stated preferences with smartphone-based travel surveys," Journal of choice modelling, Elsevier, vol. 31(C), pages 35-50.
    7. Meisam Akbarzadeh & Soroush Memarmontazerin & Sybil Derrible & Sayed Farzin Salehi Reihani, 2019. "The role of travel demand and network centrality on the connectivity and resilience of an urban street system," Transportation, Springer, vol. 46(4), pages 1127-1141, August.
    8. Breno Tostes de Gomes Garcia & Diana Mery Messias Lopes & Ilton Curty Leal Junior & José Carlos Cesar Amorim & Marcelino Aurélio Vieira da Silva & Vanessa de Almeida Guimarães, 2019. "Analysis of the Performance of Transporting Soybeans from Mato Grosso for Export: A Case Study of the Tapajós-Teles Pires Waterway," Sustainability, MDPI, vol. 11(21), pages 1-26, November.
    9. Kumar, Aalok & Anbanandam, Ramesh, 2022. "Assessment of environmental and social sustainability performance of the freight transportation industry: An index-based approach," Transport Policy, Elsevier, vol. 124(C), pages 43-60.
    10. Nasrin, Sharmin & Bunker, Jonathan, 2021. "Analyzing significant variables for choosing different modes by female travelers," Transport Policy, Elsevier, vol. 114(C), pages 312-329.
    11. Dmitrii Zakharov & Alexey Fadyushin & Denis Chainikov, 2020. "Changes in the Environmental Sustainability of the Urban Transport System when Introducing Paid Parking for Private Vehicles," Resources, MDPI, vol. 9(9), pages 1-18, August.
    12. Viacheslav Morozov & Sergei Iarkov, 2021. "Formation of the Traffic Flow Rate under the Influence of Traffic Flow Concentration in Time at Controlled Intersections in Tyumen, Russian Federation," Sustainability, MDPI, vol. 13(15), pages 1-21, July.
    13. Amirhassan Kermanshah & Sybil Derrible, 2017. "Robustness of road systems to extreme flooding: using elements of GIS, travel demand, and network science," Natural Hazards: Journal of the International Society for the Prevention and Mitigation of Natural Hazards, Springer;International Society for the Prevention and Mitigation of Natural Hazards, vol. 86(1), pages 151-164, March.
    14. Shereen Wael & Abeer Elshater & Samy Afifi, 2022. "Mapping User Experiences around Transit Stops Using Computer Vision Technology: Action Priorities from Cairo," Sustainability, MDPI, vol. 14(17), pages 1-20, September.
    15. Dmitriy Zakharov & Elena Magaril & Elena Cristina Rada, 2018. "Sustainability of the Urban Transport System under Changes in Weather and Road Conditions Affecting Vehicle Operation," Sustainability, MDPI, vol. 10(6), pages 1-17, June.

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