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Understanding parking decisions with structural equation modeling

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  • Zong, Fang
  • Yu, Ping
  • Tang, Jinjun
  • Sun, Xiao

Abstract

Analysis of parking behavior and the mechanism of parking decisions is essential for balancing the spatial–temporal distribution of parking and formulating parking management policies. Using parking information from Beijing China, in 2014, a structural equation model was established to analyze the impacts of travelers’ personal/family attributes, the trip purpose and parking rates on parking decisions. The one-way and two-way relationships between three parking decisions, namely, the parking period, parking location, and parking duration were examined. The results indicate that there is a two-way relationship between on-street parking and parking duration. The reason for this relationship is that the layout of free and legal on-street parking spaces does not combine the surrounding land use properties and trip purpose, resulting in an uneven spatial and temporal distribution of parking options. The results also show that the increase of parking fees will promote shortening the parking duration; travelers with the purpose of work will have longer parking duration; and the greater the number of passengers, the higher the probability of on-street parking will be. These findings can be used to help developing measures to regulate parking behavior by controlling relevant factors. By applying a structural equation model, this study also makes a methodological contribution to testing the correlation among related parking decisions and graphically visualizing the parking decision-making process.

Suggested Citation

  • Zong, Fang & Yu, Ping & Tang, Jinjun & Sun, Xiao, 2019. "Understanding parking decisions with structural equation modeling," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 523(C), pages 408-417.
    • Handle: RePEc:eee:phsmap:v:523:y:2019:i:c:p:408-417
    DOI: 10.1016/j.physa.2019.02.038
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