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Sustainability Assessment of Urban Public Transport for SDG Using Geospatial Big Data

Author

Listed:
  • Qinghua Zhang

    (School of Geography and Tourism, Xinjiang Normal University, Urumqi 830054, China)

  • Chuansheng Liu

    (Key Laboratory of Digital Earth Science, Aerospace Information Research Institute, Chinese Academy of Sciences, Beijing 100094, China
    International Research Center of Big Data for Sustainable Development Goals, Beijing 100094, China)

  • Linlin Lu

    (Key Laboratory of Digital Earth Science, Aerospace Information Research Institute, Chinese Academy of Sciences, Beijing 100094, China
    International Research Center of Big Data for Sustainable Development Goals, Beijing 100094, China)

  • Jangling Hu

    (School of Geography and Tourism, Xinjiang Normal University, Urumqi 830054, China)

  • Yu Chen

    (Key Laboratory of Digital Earth Science, Aerospace Information Research Institute, Chinese Academy of Sciences, Beijing 100094, China
    International Research Center of Big Data for Sustainable Development Goals, Beijing 100094, China)

Abstract

Rapid urbanization has resulted in various challenges, including a decline in environmental quality, traffic congestion, housing tensions, and employment difficulties. To address these issues, the United Nations introduced the “2030 Agenda for Sustainable Development”. One of the specific targets, 11.2.1, aims to tackle transportation problems. This study focuses on Guilin City, which is designated as an innovation demonstration zone for the national sustainable development agenda. The research conducted in this study examines the state of public transportation in six urban areas of Guilin City from 2015 to 2021, utilizing the United Nations Sustainable Development Goals (SDGs) indicator system, evaluation method, geospatial analysis, and entropy value method. The findings reveal that the coverage area of public transportation in the six urban areas of Guilin City expanded from 147.98 km 2 in 2015 to 259.18 km 2 in 2021. The percentage of the population with access to public transportation increased from 69.06% in 2015 to 71.63% in 2018 and further to 75.60% in 2021. While the accessibility of public transportation in the other four districts exceeds 90%, Lingui District and Yanshan District have lower accessibility, but it is gradually improving. The center of gravity for public transportation is also shifting towards the southwest, with Lingui District and Yanshan District experiencing gradual development. The evaluation score for sustainable development increased from 64.30 to 74.48, indicating a transition from a low sustainable development level to medium sustainable development level. Significant progress has been made in the indicators of the share of new energy buses, the rate of bus sharing, the coverage rate of bus stops, and the number of public transportation vehicles per 10,000 people. However, the indicators for the average distance between bus stops, the average speed of public transportation, and the density of public transportation routes are growing at a slower pace. The development of urban public transportation continues to improve, and the overall trend is positive. The sustainable development evaluation framework and positioning method proposed in this study serve as a reference for the sustainable development of Guilin City. Additionally, it provides insights for evaluating the sustainable development goals of public transportation in tourist cities like Guilin in China and worldwide.

Suggested Citation

  • Qinghua Zhang & Chuansheng Liu & Linlin Lu & Jangling Hu & Yu Chen, 2024. "Sustainability Assessment of Urban Public Transport for SDG Using Geospatial Big Data," Sustainability, MDPI, vol. 16(11), pages 1-20, May.
    • Handle: RePEc:gam:jsusta:v:16:y:2024:i:11:p:4542-:d:1402945
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    References listed on IDEAS

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