Research on the Impact of the Built Environment on the Characteristics of Metropolis Rail Transit School Commuting—Take Wuhan as an Example
Abstract
:1. Introduction
1.1. Factors Influencing the Behavior of School Commuting
1.2. The Influence of the Built Environment on School Commuting Behavior
2. Materials and Methods
2.1. Study Area and Data Sources
2.1.1. Study Area
2.1.2. Scope Definition of the Area around the Rail Transit Station
2.1.3. Data Sources and Pre-Processing
2.2. Research Methods
2.2.1. Technology Route
2.2.2. Variable Settings
2.2.3. Model Selection
- Stepwise Regression Mode
- Geographically Weighted Regression Model
3. Results and Discussion
3.1. Spatial and Temporal Characteristics of Wuhan’s School Commuting Behavior
3.1.1. School Commuting Patterns
3.1.2. Travel Frequency
3.1.3. Travel Time
3.1.4. Travel Distance
3.1.5. Travel Direction
3.2. The Influence of Built Environment Factors on the School Commuting Flow
3.2.1. Analysis of Factors Influencing the Built Environment on School Commuting Flow
3.2.2. Analysis of the Spatial Heterogeneity of Factors That Have a Significant Effect on School Commuting Flow
3.3. The Influence of Built Environment Factors on the School Commuting Distance
3.3.1. Analysis of Factors Influencing the Built Environment on School Commuting Distance
3.3.2. Analysis of the Spatial Heterogeneity of Factors That Have a Significant Effect on School Commuting Distance
4. Conclusions
Author Contributions
Funding
Institutional Review Board Statement
Informed Consent Statement
Conflicts of Interest
References
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Card Number | Time | Line | Station | Swipe Type | Card Type |
---|---|---|---|---|---|
80271112xxxxxxxx | 11 March 2019 06:38:39 | 1 | 126 | 28 | 1112 |
80271112xxxxxxxx | 11 March 2019 06:57:18 | 1 | 119 | 29 | 1112 |
Variable Category | Variable Name | Calculation, Assignment and Interpretation of Indicators |
---|---|---|
Dependent variable | School commuting flow | Number of students at each station. |
School commuting distance | Average distance to school at each station. | |
Travel behavior | Travel time | Time of travel. |
Travel frequency | Number of trips during the day. | |
Location conditions | Location of residence area | Within the 1st Ring Road = 1; Between the 1st and 2nd Ring Road = 2; |
Location of school | Between the 2nd and 3rd Ring Road = 2. | |
Build environment | Population density | Ratio of the number of people in the range to the total area. |
Floor area ratio | Floor area ratio in the range. | |
Bus stop density | Ratio of the number of bus stops in the range to the total area. | |
Road density | Ratio of the road length in the range to the total area. | |
Road intersection density | Ratio of the number of road intersections in the range to the total area. | |
Mixed degree of land use | S is the entropy value of the mixed degree of land use, n is the number of divisions of land use types, and pi is the proportion of the land area in category i, . | |
Facilities density | Ratio of the number of facilities in the range to the total area. |
School Commuting Regional | Place of Residence | Place of Study | Percentage of |
---|---|---|---|
Huangpu area | Danshuichi, Houhu Boulevard, Dazhi Road, Erqi Road, Tazihu, Xingye Road, Xudong, Zhaojiatiao, Zhuyeshan, Xinrong, Zhongyi Road | Huangpu Road | 12.43% |
Zhongjiacun area | Maying Road, Hanyang Railway Station, Shilipu, Yulong Road, Qilimiao, Qianjincun, Jiangang | Zhongjiacun, Lanjiang Road | 9.96% |
Chongren area | Gutianerlu, Gutiansanlu, Gutiansilu, Hanxiyilu, Zongguan, Taipingyang | Chongren Road | 8.61% |
Zhongnan area | Jiyuqiao, Fuxing Road, Shouyi Road, Baotong Temple, Chuhehanjie, Dongting, Qingyuzui, Tieji Road | Zhongnan Road | 7.90% |
Changgang Road area | Changqing Huayuan, Jinyintan, Wangjiadun East, Xunlimen, Zhongshan Park | Changgang Road, Fanhu | 5.10% |
Variables | Unstandardized Coefficients | p-Value | |
---|---|---|---|
B | Standard Error | ||
Constant | −4.251 | 22.338 | 0.849 |
Whether it is a transfer station | 79.237 | 25.649 | 0.002 * |
Bus stop density | 5.185 | 2.357 | 0.030 * |
Floor area ratio | 40.998 | 19.631 | 0.039 * |
Variables | Unstandardized Coefficients | p-Value | |
---|---|---|---|
B | Standard Error | ||
Constant | 14220.659 | 1386.504 | 0.000 |
Whether station is a departure station | 6237.326 | 1884.667 | 0.001 ** |
Road density | −4513.889 | 2015.087 | 0.027 * |
Mixed degree of land use | −0.350 | 0.097 | 0.001 ** |
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Peng, J.; Qi, J.; Cui, C.; Yan, J.; Dai, Q.; Yang, H. Research on the Impact of the Built Environment on the Characteristics of Metropolis Rail Transit School Commuting—Take Wuhan as an Example. Int. J. Environ. Res. Public Health 2021, 18, 9885. https://doi.org/10.3390/ijerph18189885
Peng J, Qi J, Cui C, Yan J, Dai Q, Yang H. Research on the Impact of the Built Environment on the Characteristics of Metropolis Rail Transit School Commuting—Take Wuhan as an Example. International Journal of Environmental Research and Public Health. 2021; 18(18):9885. https://doi.org/10.3390/ijerph18189885
Chicago/Turabian StylePeng, Jiandong, Jiajie Qi, Changwei Cui, Jinming Yan, Qi Dai, and Hong Yang. 2021. "Research on the Impact of the Built Environment on the Characteristics of Metropolis Rail Transit School Commuting—Take Wuhan as an Example" International Journal of Environmental Research and Public Health 18, no. 18: 9885. https://doi.org/10.3390/ijerph18189885