Nonlinear Relationships between Vehicle Ownership and Household Travel Characteristics and Built Environment Attributes in the US Using the XGBT Algorithm

被引:8
|
作者
Ma, Te [1 ]
Aghaabbasi, Mahdi [2 ]
Ali, Mujahid [3 ]
Zainol, Rosilawati [2 ]
Jan, Amin [4 ]
Mohamed, Abdeliazim Mustafa [5 ,6 ]
Mohamed, Abdullah [7 ]
机构
[1] Dalian Univ, Sch Tourism, Dalian 116000, Peoples R China
[2] Univ Malaya, Fac Built Environm, Dept Urban & Reg Planning, Ctr Sustainable Urban Planning & Real Estate SUPR, Kuala Lumpur 50603, Malaysia
[3] Univ Teknol Petronas, Dept Civil & Environm Engn, Seri Iskandar 32610, Perak, Malaysia
[4] Univ Malaysia Kelantan, Fac Hospitality Tourism & Wellness, City Campus, Pengkalan Chepa 16100, Malaysia
[5] Prince Sattam Bin Abdulaziz Univ, Coll Engn, Dept Civil Engn, Alkharj 16273, Saudi Arabia
[6] Bayan Coll Sci & Technol, Bldg & Construct Technol Dept, Khartoum 210, Sudan
[7] Future Univ Egypt, Res Ctr, New Cairo 11745, Egypt
关键词
sustainable vehicle ownership; nonlinear relationships; built environment; XGBT; CAR OWNERSHIP; SIGNALIZED INTERSECTIONS; AUTOMOBILE OWNERSHIP; SOCIO-DEMOGRAPHICS; FLOW-RATE; URBAN; IMPACT; NEIGHBORHOOD; INEQUALITIES; MOBILITY;
D O I
10.3390/su14063395
中图分类号
X [环境科学、安全科学];
学科分类号
08 ; 0830 ;
摘要
In the United States, several studies have looked at the association between automobile ownership and sociodemographic factors and built environment qualities, but few have looked at household travel characteristics. Their interactions and nonlinear linkages are frequently overlooked in existing studies. Utilizing the 2017 US National Household Travel Survey, the authors employed an extreme gradient boosting tree model to evaluate the nonlinear and interaction impacts of household travel characteristics and built environment factors on vehicle ownership in three states of the United States (California, Missouri, and Kansas) that are different in population size. To develop these models, three main XGBT parameters, including the number of trees, maximal depth, and minimum rows, were optimized using a grid search technique. In California, the predictability of vehicle ownership was driven by household travel characteristics (cumulative importance: 0.62). Predictions for vehicle ownership in Missouri and Kansas were dominantly influenced by sociodemographic factors (cumulative importance: 0.53 and 0.55, respectively). In all states, the authors found that the number of drivers in a household plays a vital role in the vehicle ownership decisions of households. Regarding the built environment attributes, deficiencies in cycling infrastructure were the most prominent attribute in predicting household vehicle ownership in California. This variable, however, has threshold connections with vehicle ownership, but the magnitude of these relationships is small. The outcomes imply that improving the condition of cycling infrastructure will help reduce the number of vehicles. In addition, incentives that encourage the households' drivers not to buy new vehicles are helpful. The outcomes of this study might aid policymakers in developing policies that encourage sustainable vehicle ownership in the United States.
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页数:18
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