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Impact of the mixed degree of urban functions on the taxi travel demand

Author

Listed:
  • Changwei Yuan
  • Yaxin Duan
  • Xinhua Mao
  • Ningyuan Ma
  • Jiannan Zhao

Abstract

As an important service industry in cities, taxis provide people with an all-weather travel mode. And its demand is greatly affected by the internal functions of the city. It is very important to understand the relationship between the mixed degree of urban internal functions and the residents’ taxi travel demand to alleviate traffic congestion and formulate corresponding urban traffic strategies. This paper combined two heterogeneous data in the main urban area of Xi’an, urban points of interest (POIs) and taxi GPS. Firstly, a spatial information entropy model was constructed to quantitatively evaluate the mixed degree of functions in different spaces within the city. Secondly, the kernel density estimation method was used to analyze the spatial distribution evolution characteristics of residents’ taxi travel demand. A geographically weighted regression (GWR) model was further used to study the spatial and temporal influences of the mixed degree of urban internal functions on taxi travel demand. Results indicate that there is an obvious spatiotemporal pattern in the impact of the mixed degree of urban functions on taxi travel demand. And the GWR model is used to study the impact is superior to the ordinary least squares (OLS). In more developed areas, improving the mixed degree of urban functions will be more attractive than backward areas. It is also found that although the single function of the city has an impact on the taxi travel demand, the result of the single function is not ideal. This study can provide a reference for the optimal combination of basic units of urban space in urban planning, promote the balance of supply and demand of urban taxis, rationalize urban taxis’ operation and allocation, and solve the problems of urban transportation systems.

Suggested Citation

  • Changwei Yuan & Yaxin Duan & Xinhua Mao & Ningyuan Ma & Jiannan Zhao, 2021. "Impact of the mixed degree of urban functions on the taxi travel demand," PLOS ONE, Public Library of Science, vol. 16(3), pages 1-21, March.
  • Handle: RePEc:plo:pone00:0247431
    DOI: 10.1371/journal.pone.0247431
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    References listed on IDEAS

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    1. Dong, Xianlei & Zhang, Min & Zhang, Shuang & Shen, Xinyi & Hu, Beibei, 2019. "The analysis of urban taxi operation efficiency based on GPS trajectory big data," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 528(C).
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    Cited by:

    1. Jing Cheng & Pei Yin, 2022. "Analysis of the Complex Network of the Urban Function under the Lockdown of COVID-19: Evidence from Shenzhen in China," Mathematics, MDPI, vol. 10(14), pages 1-20, July.
    2. Jing Cheng & Xiaowei Luo, 2023. "Analyzing the Direction of Urban Function Renewal Based on the Complex Network," Sustainability, MDPI, vol. 15(22), pages 1-22, November.
    3. He Yang & Dongqian Xue & Hailing Li & Xinmeng Cai & Yanyan Ma & Yongyong Song, 2023. "Interaction between the Cultural and Entertainment Industry and Urban Development in Xi’an: A Case Study," Land, MDPI, vol. 12(7), pages 1-21, July.
    4. Guiwen Liu & Cheng Li & Taozhi Zhuang & Yuhan Zheng & Hongjuan Wu & Jian Tang, 2022. "Determining the Spatial Distribution Characteristics of Urban Regeneration Projects in China on the City Scale: The Case of Shenzhen," Land, MDPI, vol. 11(8), pages 1-27, July.

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