The Impact of Urban Built Environment Complexity on Taxi Drivers' Route Choice Behavior: An Empirical Study in Beijing, China

Khái niệm cốt lõi

Taxi drivers in Beijing, China tend to choose routes with shorter travel time and fewer traversal intersections, while also preferring routes that pass through areas with better road connectivity, higher building density, and more diverse land uses.

Tóm tắt

The study examines the impact of complexity in the urban built environment on taxi drivers' route choice behavior in Beijing, China. The researchers propose an anchor-to-road route choice model that incorporates factors related to route characteristics, road network characteristics, and building characteristics.
The key findings are:

The proposed model incorporating the anchor effect and built environment complexity factors performs 12% better than a conventional shortest-path route choice model.

Taxi drivers prefer routes with shorter travel time and fewer traversal intersections. Counterintuitively, they often choose longer routes via ring roads and expressways.

Drivers are attracted to areas with better road connectivity (higher degree, closeness, and betweenness), higher building density, and more diverse land uses. They tend to avoid areas with high-rise, compact buildings.

The impact of built environment complexity on route choice varies across different time periods and travel distances. During commute hours and for longer trips, drivers value travel time more and prefer routes via major roads.

Taxi drivers exhibit different route choice behaviors when searching for passengers versus when delivering passengers. During cruising, they prioritize accessibility and connectivity over travel time.

These findings provide insights for transportation management and urban planning to implement more targeted interventions.

Thống kê

The length of each road segment is positively correlated with route choice.
The travel time on each road segment is negatively correlated with route choice.
The penalty value of intersections based on turn direction is negatively correlated with route choice.

Trích dẫn

"Taxi drivers frequently travel on Ring Roads instead of the shortest path in the road network."
"During commute hours, drivers value travel time as the most important influencing factor and thus prefer to travel along ring roads and expressways that are longer but takes less time to go through."
"Drivers often choose to travel through areas within which the building density is high while the floor area ratio is low. Particularly, areas with a high diversity of land use functionalities are often attractive to drivers."

Thông tin chi tiết chính được chắt lọc từ

The impact of complexity in the built environment on vehicular routing behavior: Insights from an empirical study of taxi mobility in Beijing, China

by Chaogui Kang... lúc arxiv.org 04-25-2024

https://arxiv.org/pdf/2404.15589.pdf

Yêu cầu sâu hơn

How can the insights from this study be applied to optimize route guidance systems for private vehicles beyond taxis

The insights from this study can be valuable in optimizing route guidance systems for private vehicles beyond taxis by incorporating factors that influence vehicular route choice behavior. By considering the impact of complexity in the built environment on drivers' route preferences, route guidance systems can be enhanced to provide more personalized and efficient route recommendations. For example, the system can take into account road characteristics such as road length, connectivity, and building density to suggest routes that align with drivers' preferences and priorities. Additionally, by understanding the temporal variations in route choice behavior, the system can adapt its recommendations based on the time of day to better meet the needs of drivers. Overall, integrating these insights into route guidance systems can lead to more tailored and effective navigation solutions for private vehicle users.

What are the potential unintended consequences of transportation policies that encourage drivers to use ring roads and expressways over more direct routes

Transportation policies that encourage drivers to use ring roads and expressways over more direct routes may have several unintended consequences. One potential consequence is increased congestion and traffic on these major roadways, leading to higher levels of pollution and environmental impact. Additionally, prioritizing ring roads and expressways may divert traffic away from local roads and neighborhoods, potentially disrupting the local community and increasing noise and air pollution in those areas. Moreover, overreliance on ring roads and expressways could lead to a lack of accessibility to certain areas, limiting connectivity and mobility for residents and businesses. It is essential for transportation policies to strike a balance between promoting efficient travel routes and considering the broader impacts on the overall transportation network and community well-being.

How might the findings on the impact of built environment complexity on route choice behavior inform the design of future urban environments to better support sustainable transportation modes like walking and cycling

The findings on the impact of built environment complexity on route choice behavior can inform the design of future urban environments to better support sustainable transportation modes like walking and cycling. By understanding how drivers interact with the built environment when making route choices, urban planners can create environments that prioritize pedestrian and cyclist safety and accessibility. For example, designing well-connected and visually appealing walking and cycling paths can encourage more people to choose these sustainable modes of transportation. Additionally, incorporating features such as green spaces, mixed land uses, and pedestrian-friendly infrastructure can enhance the attractiveness of walking and cycling routes. By considering the factors that influence route choice behavior, urban environments can be designed to promote sustainable transportation options and create healthier and more livable cities.