Travel Characteristics of Urban Residents Based on Taxi Trajectories in China: Beijing, Shanghai, Shenzhen, and Wuhan
Abstract
:1. Introduction
2. Materials and Methods
2.1. Study Area
2.2. Data
2.3. OLS
2.4. GWR
2.5. Model Evaluation Metric
3. Results
3.1. Temporal Trajectory Characteristics
3.2. Spatial Trajectory Characteristics
3.3. Trajectory and Urban Morphology Model Analysis
3.4. Comparison between the OLS and GWR Models
4. Discussion
5. Conclusions
- Temporal Characteristics: Shenzhen had the highest average daily travel volume, with Beijing and Wuhan following. Beijing and Shenzhen experienced more significant travel fluctuations compared to Shanghai and Wuhan.
- Spatial Characteristics: In all four cities, high interaction zones in vehicle boarding and deboarding were mostly found in commercial areas and near external transportation facilities, reflecting movement patterns between these locations.
- Travel Characteristics and Urban Morphology: The GWR model showed a better fit than the OLS model. The most significant influences on travel patterns were external transportation services and financial services, followed by medical care and catering services.
Author Contributions
Funding
Institutional Review Board Statement
Informed Consent Statement
Data Availability Statement
Conflicts of Interest
References
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CS | FI | MS | ET | ||
---|---|---|---|---|---|
Beijing | Coefficient | 2.114 | 10.937 | 5.895 | 11.399 |
t test statistic (t-Stat) | 28.709 | 32.645 | 28.874 | 38.650 | |
VIF | 1.438 | 1.445 | 1.225 | 1.005 | |
Adjusted R2 value | 0.593 | ||||
Shanghai | Coefficient | 2.254 | 9.578 | 4.009 | 9.515 |
t test statistic (t-Stat) | 25.609 | 12.5774 | 13.288 | 8.443 | |
VIF | 1.892 | 1.898 | 1.138 | 1.002 | |
Adjusted R2 value | 0.706 | ||||
Shenzhen | Coefficient | 4.467 | 29.153 | 15.951 | 163.060 |
t test statistic (t-Stat) | 14.225 | 18.969 | 12.743 | 36.050 | |
VIF | 2.223 | 1.716 | 1.868 | 1.006 | |
Adjusted R2 value | 0.734 | ||||
Wuhan | Coefficient | 2.226 | 13.464 | 7.513 | 21.155 |
t test statistic (t-Stat) | 27.524 | 20.170 | 23.391 | 28.524 | |
VIF | 1.761 | 1.607 | 1.564 | 1.001 | |
Adjusted R2 value | 0.618 |
Beijing | Shanghai | Shenzhen | Wuhan | |||||
---|---|---|---|---|---|---|---|---|
OLS | GWR | OLS | GWR | OLS | GWR | OLS | GWR | |
R2 | 0.593 | 0.916 | 0.707 | 0.884 | 0.734 | 0.974 | 0.618 | 0.920 |
Adjusted R2 | 0.593 | 0.888 | 0.706 | 0.861 | 0.734 | 0.957 | 0.618 | 0.881 |
AICc | 9010.855 | 6051.826 | 2105.353 | 1400.552 | 2479.490 | 852.302 | 7794.457 | 5301.455 |
Bandwidth | - | 605.210 | - | 917.480 | - | 427.260 | - | 468.330 |
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Chang, X.; Chen, H.; Li, J.; Fei, X.; Xu, H.; Xiao, R. Travel Characteristics of Urban Residents Based on Taxi Trajectories in China: Beijing, Shanghai, Shenzhen, and Wuhan. Sustainability 2024, 16, 2694. https://doi.org/10.3390/su16072694
Chang X, Chen H, Li J, Fei X, Xu H, Xiao R. Travel Characteristics of Urban Residents Based on Taxi Trajectories in China: Beijing, Shanghai, Shenzhen, and Wuhan. Sustainability. 2024; 16(7):2694. https://doi.org/10.3390/su16072694
Chicago/Turabian StyleChang, Xueli, Haiyang Chen, Jianzhong Li, Xufeng Fei, Haitao Xu, and Rui Xiao. 2024. "Travel Characteristics of Urban Residents Based on Taxi Trajectories in China: Beijing, Shanghai, Shenzhen, and Wuhan" Sustainability 16, no. 7: 2694. https://doi.org/10.3390/su16072694