The Impact of Built Environment on School Run Traffic Congestion: A Case Study of Beijing, China

핵심 개념

School runs significantly exacerbate traffic congestion, particularly in areas with specific built environment characteristics like multiple schools, bus stops, and business-related scenescapes.

초록

• Bibliographic Information: Kang, C., Wu, X., Shi, J., & Yang, C. (2024). Association between built environment characteristics and school run traffic congestion in Beijing, China. arXiv preprint arXiv:2411.11390v1.
• Research Objective: To investigate the impact of school runs on traffic congestion and identify the built environment characteristics associated with increased congestion around schools in Beijing, China.
• Methodology: The study utilizes multi-source geospatial data, including real-time traffic indices, road network data, points of interest (POIs), land use data, building footprints, and street view imagery (SVI). The authors employ a generalized ordered logit model to analyze traffic congestion differences between school days, non-school days, and exam days. Additionally, a multiple linear regression model, coupled with Shapley value explanations, is used to identify the built environment factors contributing to school-run traffic congestion.
• Key Findings:
  • School runs significantly worsen traffic congestion around schools, reducing the likelihood of free-flowing traffic by 8.34%.
  • Areas with multiple schools, bus stops, and scenescapes related to business and financial functions experience more severe school-run traffic congestion.
  • Factors like distance to the city center, presence of express roads, and specific scenescapes dominated by well-organized urban environments are associated with lower congestion probabilities.
• Main Conclusions: The study highlights the significant impact of school runs on traffic congestion and emphasizes the role of built environment characteristics in exacerbating or mitigating this congestion. The findings provide valuable insights for urban planning and school site selection to alleviate traffic issues.
• Significance: This research contributes to the understanding of the complex interplay between school runs, built environment, and traffic congestion, offering practical implications for urban planning and transportation management in rapidly growing cities.
• Limitations and Future Research: The study focuses on Beijing, China, and further research is needed to explore the generalizability of the findings to other contexts. Future studies could also investigate the impact of specific traffic management strategies and policies on school-run traffic congestion.

통계

School-escorted trips account for an increasing proportion of total trips during commute hours.
In Beijing, about 30% of primary school students lived 10 kilometers or more from their schools.
The proportion of school-escorted trips taken by private cars reached nearly 50% for certain primary schools in Beijing.
The study analyzed traffic congestion data for 846 primary and secondary schools in Beijing.
The study found that school runs reduce the probability of "smooth" traffic by 8.34%.
The presence of multiple schools within a 500-meter radius increases the average congestion probability by 0.349%.
A 1-unit increase in the average betweenness centrality of roads surrounding a school increases the average congestion probability by 0.735%.
Schools located closer to the city center have a higher likelihood of experiencing traffic congestion.

인용구

"School run traffic congestion has become prominent in cities as school-escorted trips account for an increasing proportion of the total trips during commute hours."
"Due to the higher utilization of private cars for student pick-up and drop-off, traffic congestion on roads in the school vicinity has remarkably undermined the efficiency of urban transport system and the comfort of school life."
"Our findings reveal that: (1) School runs significantly exacerbate traffic congestion around schools, reducing the likelihood of free-flow by 8.34% during school run times; (2) School-run traffic congestion is more severe in areas with multiple schools, bus stops, and scenescapes related to business and financial functions."

핵심 통찰 요약

Association between built environment characteristics and school run traffic congestion in Beijing, China

by Chaogui Kang... 게시일 arxiv.org 11-19-2024

https://arxiv.org/pdf/2411.11390.pdf

더 깊은 질문

How can urban planning strategies be adapted to mitigate the impact of school runs on traffic congestion in both existing and developing urban areas?

Urban planning strategies play a crucial role in mitigating the impact of school runs on traffic congestion. Here's how these strategies can be adapted for both existing and developing urban areas:
Existing Urban Areas:

Traffic Management around Schools:

School Streets: Implement temporary closures of streets adjacent to schools during pick-up and drop-off times, prioritizing pedestrian and cyclist safety.
Optimized Traffic Signals: Adjust signal timing near schools to prioritize traffic flow away from school zones during peak hours.
Designated Drop-off/Pick-up Zones: Create clearly marked, efficient zones within school grounds or on nearby streets to reduce congestion caused by haphazard parking.

Encouraging Sustainable Transportation:

Safe Walking and Cycling Routes: Develop infrastructure like sidewalks, crosswalks, and bike lanes that provide safe and convenient routes for students to walk or cycle to school.
School Bus Optimization: Improve the efficiency and coverage of school bus routes, making them a more attractive alternative to private vehicles.
Public Transportation Integration: Ensure convenient access to public transportation for students, potentially through subsidized fares or dedicated school routes.

Urban Design Modifications:

Mixed-Use Development: Encourage mixed-use development that reduces the distance between homes, schools, and workplaces, making walking and cycling more feasible.
Traffic Dispersion: Design street networks that disperse traffic flow and prevent concentration around schools.
Developing Urban Areas:

Integrated School Site Planning:

Location: Choose school locations that are easily accessible by public transportation and have the potential for safe walking and cycling routes.
School Size and Distribution: Plan for a distribution of schools that reduces the need for long-distance travel and prevents overwhelming traffic concentration in certain areas.

Prioritizing Public and Active Transportation:

Public Transportation Investment: Invest heavily in robust and affordable public transportation systems that connect residential areas with schools.
Pedestrian and Cycling Infrastructure: Incorporate dedicated lanes for pedestrians and cyclists in the initial design of road networks.

Discouraging Private Vehicle Use:

Parking Restrictions: Implement parking restrictions around schools to discourage private vehicle use and promote alternative transportation modes.
Congestion Pricing: Consider congestion pricing mechanisms that charge vehicles entering congested areas during peak hours, including school zones.
Key Considerations for All Areas:

Community Engagement: Involve parents, residents, schools, and local authorities in the planning process to ensure solutions are tailored to specific needs and concerns.
Data-Driven Decision Making: Utilize traffic data, school location information, and demographic data to inform planning decisions and measure the effectiveness of implemented strategies.
Enforcement and Education: Enforce traffic regulations around schools and educate communities about the benefits of sustainable transportation options.

Could the study's findings be biased by focusing solely on car traffic, and would incorporating public transportation data significantly alter the conclusions?

Yes, the study's findings could be biased by focusing solely on car traffic. Here's why:

Overestimation of School Run Impact: Focusing only on car traffic might overestimate the impact of school runs on overall traffic congestion. If a significant portion of students use public transportation, cycling, or walking, the study wouldn't capture their contribution to congestion or lack thereof.
Incomplete Picture of Transportation Modes: Without considering public transportation data, the study provides an incomplete picture of transportation modes used for school runs. This limits the ability to assess the effectiveness of existing public transportation options or identify areas where improvements are needed.
Limited Policy Recommendations: The study's policy recommendations might be skewed towards car-centric solutions. Incorporating public transportation data could lead to more balanced recommendations that promote sustainable transportation options.
Incorporating public transportation data would likely alter the conclusions by:

Providing a More Accurate Assessment: It would allow for a more accurate assessment of the actual contribution of school runs to overall traffic congestion.
Revealing Modal Shifts: It could reveal potential modal shifts from private vehicles to public transportation during school run hours, indicating the effectiveness of existing public transportation options.
Identifying Areas for Improvement: It could highlight areas with inadequate public transportation infrastructure or service, guiding targeted investments to improve accessibility and reduce reliance on private vehicles.
To obtain a more comprehensive understanding of school run traffic congestion, future studies should:

Integrate Multimodal Data: Collect and analyze data on car traffic, public transportation usage (e.g., bus ridership, train passenger numbers), cycling patterns, and pedestrian volumes.
Assess Accessibility and Connectivity: Evaluate the accessibility and connectivity of schools by different transportation modes, considering factors like distance, travel time, frequency of service, and safety.
Model Modal Choice: Develop models that predict the likelihood of individuals choosing different transportation modes for school runs based on factors like distance, socioeconomic status, and availability of alternatives.

What role can technology, such as real-time traffic information systems and ride-sharing platforms, play in alleviating school run traffic congestion and promoting sustainable transportation choices?

Technology can play a significant role in alleviating school run traffic congestion and promoting sustainable transportation choices:
Real-time Traffic Information Systems:

Dynamic Routing: Provide real-time traffic updates and suggest alternative routes for parents driving their children to school, helping them avoid congested areas and reduce travel times.
Predictive Analytics: Use historical and real-time data to predict traffic congestion patterns around schools, allowing parents to plan their trips in advance and opt for off-peak hours or alternative transportation modes.
Smart Traffic Management: Integrate with traffic management systems to dynamically adjust traffic signal timing near schools, optimizing traffic flow and minimizing congestion during peak hours.
Ride-Sharing Platforms:

School-Specific Carpools: Facilitate the creation of school-specific carpools by connecting parents traveling on similar routes, reducing the number of vehicles on the road.
Safe and Reliable Rides: Offer a safe and reliable alternative to driving alone, particularly for families who live further away from school or lack access to other transportation options.
Incentivize Sustainable Choices: Integrate with reward programs or offer discounted fares for shared rides during school run hours, incentivizing parents to choose more sustainable transportation options.
Other Technological Solutions:

Mobile Applications: Develop mobile applications that provide parents with real-time information on school bus locations, estimated arrival times, and alternative transportation options.
Smart School Zones: Implement smart school zone technologies that use sensors and cameras to monitor traffic flow, enforce parking restrictions, and enhance pedestrian safety.
Gamification and Incentives: Utilize gamification techniques and incentive programs to encourage students and parents to choose sustainable transportation modes, rewarding them for walking, cycling, or using public transportation.
Key Considerations for Technology Implementation:

Data Privacy and Security: Ensure the responsible collection, storage, and use of personal data, addressing privacy concerns related to location tracking and ride-sharing platforms.
Equity and Accessibility: Design technology solutions that are accessible to all families, regardless of their socioeconomic status or technological literacy.
Integration and Interoperability: Promote the integration of different technology platforms and data sources to create a seamless and user-friendly experience for parents and students.
By leveraging technology effectively, cities can create smarter and more sustainable transportation systems that reduce school run traffic congestion, improve safety, and promote environmentally friendly transportation choices.