| 摘要: |
| 在共享出行、绿色出行、智能网联等新
技术、新理念、新模式加速发展的背景下，未来
城市交通规划需要从以下三个方面探索全新交通
体系的构建与设施空间转变：第一，将共享出行
融入城市交通，探索全新交通体系安排。通过多
元共享出行服务的引入、建立共享出行设施标
准、微枢纽转换衔接的创新，塑造共享出行引领
的全新交通设施体系（以100 m共享骑行、200 m
社区公交、300 m共享汽车、500 m私人小汽车的
标准配置各类站点、停车设施）。第二，降低小
汽车依赖，实现低碳健康导向的设施空间转变。
在低碳健康的未来城市理念下，通过降低小汽车
的依赖，实现道路空间的转变，将70%道路空间
资源回归慢行，从服务车的出行到促进人的交
往。第三，使智慧化手段融入交通服务，提升人
性友好的出行体验。通过建立MaaS 平台，用信
息技术整合新城内外的多元交通系统，实现按需
公交配置、全程出行服务。 最后以海南生态智慧
新城的案例，介绍了上述理念在实际中的应用，
海生态智慧新城以共享出行、停车变革和智慧公
交为三大支柱。通过100 m精度的共享设施配置，
将交通覆盖率提升至60%；通过“5321”停车策
略，减少42%的泊位和25%的碳排放；并引入自
动驾驶微公交，实现“车等人”的按需服务。这
一系列举措共同构建了一个低碳、高效、以人为
本的智慧交通体系，为未来城市发展提供了创新
蓝图。 |
| 关键词: 共享出行 低碳健康 未来城市 智慧
化手段 智能网联 |
| DOI：10.13791/j.cnki.hsfwest.20250402008 |
| 分类号: |
| 基金项目: |
|
| Planning methods for the spatial transformation of future urban transportation infrastructurefrom a low-carbon perspective |
|
ZHAO Yixin,FU Lingfeng,LIU Hongru
|
| Abstract: |
| Against the backdrop of the accelerated development of cutting-edge technologies,
innovative concepts, and transformative models such as shared mobility networks, green
transportation infrastructure, and intelligent connected systems, the landscape of future urban
transportation planning is undergoing a profound revolution. Its core mission extends beyond
incremental adjustments, seeking to fundamentally reimagine and construct a brand-new
transportation ecosystem that synergizes with radical transformations in urban facility spaces.
This paradigm shift unfolds systematically through three interlocking dimensions, each
addressing critical challenges and opportunities in the modern urban mobility landscape. First,
the integration of shared mobility into urban transportation demands a reengineered system
architecture that transcends traditional silos. This process involves the meticulous geographic
allocation of shared docking stations, electric vehicle fleets, and smart parking berths within
every urban functional unit—from commercial districts to mixed-use residential neighborhoods.
By doing so, it shapes a hierarchical new transportation facility system where shared mobility
acts as the central nervous system. The system adheres to precise service radius benchmarks:
“100 meters for shared electric bicycles, 200 meters for autonomous community shuttle buses,
300 meters for shared electric cars, and 500 meters for private vehicle pick-up zones.” This
systematic configuration ensures that residents in every urban microdistrict can access efficient
public transportation networks within comfortable walking distances, effectively eliminating the
“last mile” connectivity gap and fostering a pedestrian-oriented urban fabric. For instance, in
mixed-use developments, shared bike stations are strategically positioned at subway exit hubs,
while autonomous shuttles operate on fixed loops through residential clusters, creating seamless
multimodal transfer points.Second, under the overarching concept of a low-carbon and healthcentric
future city, urban planning must adopt a proactive “responding to motion through
stillness” strategy from the infrastructure design phase. This approach employs dual strategies:
innovating parking construction models through shared parking garages with dynamic pricing
systems, and strategically reducing overall parking space supply to curtail private car ownership.
The ultimate goal is to reclaim urban arterial roads—once dominated by vehicular traffic—for
civic life and social interaction. By reallocating up to 70% of road space resources to slowmobility
systems (such as protected bike lanes, pedestrian plazas, and green corridors) and
public activities (outdoor markets, pop-up cultural spaces), cities can achieve a fundamental
value shift from “optimizing vehicle throughput” to “nurturing human connection and
community vitality”. Case studies have shown that converting one lane of a four-lane road into a
protected bike corridor can increase pedestrian activity by 40% while reducing vehicular
congestion through modal shift. Finally, the realization of this new transportation ecosystem
hinges on the comprehensive empowerment of intelligent technologies, with the primary
objective of enhancing humanized and inclusive travel experiences. At the core of this effort is
the establishment of a robust “Mobility as a Service” (MaaS) platform, which leverages
advanced information technology, real-time big data analytics, and machine learning algorithmsto integrate diverse transportation systems—both traditional (buses, subways) and innovative (shared e-bikes, autonomous shuttles) —into a unified digital
ecosystem. This integration enables citizens to access end-to-end seamless services, from AI-driven trip planning that suggests optimal multimodal routes
considering real-time traffic, weather, and crowding data, to contactless payment systems that consolidate fares across different modes, and adaptive navigation
that dynamically adjusts routes based on live conditions. The pinnacle of this innovation is the on-demand dispatch of autonomous micro-buses, which uses
predictive analytics to anticipate passenger flows and position vehicles proactively. For example, in dense urban centers, the system can deploy shuttles to highdemand
zones 15 minutes before peak periods, transforming the traditional “passenger waits for bus” model into a revolutionary “bus anticipates passenger”
paradigm, reducing average wait times to under three minutes.The planning practice of Hainan Ecological Wisdom New City exemplifies this vision through
three strategic pillars that bridge theory with tangible implementation. By strictly enforcing a 100-meter-precision shared facility deployment standard, the new
city has achieved a remarkable surge in transportation service coverage—from a mere 10% under traditional planning models to 60%—effectively eradicating
transit deserts and ensuring that 90% of residents live within a five-minute walk of a shared mobility hub. The innovative “5321” parking strategy—allocating
50% of spaces for shared vehicles, 30% for electric vehicles with charging infrastructure, 20% for short-term visitor parking, and 10% for commercial loading
zones—has resulted in a 42% reduction in total parking berths. This not only curbs private car dependency but also drives a 25% reduction in transportationrelated
carbon emissions, aligning with global climate action goals. As a pioneer in autonomous micro-bus operations in Hainan, the city’s AI-driven dispatch
system has achieved operational efficiency milestones, with vehicles achieving an average passenger occupancy rate of 75% and response times of under five
minutes during peak hours, significantly enhancing both travel efficiency and resident quality of life.By interweaving these concepts into a cohesive framework,
Hainan Ecological Wisdom New City has constructed a low-carbon, high-efficiency, and people-centric intelligent transportation ecosystem. This model not
only addresses immediate urban mobility challenges—such as congestion, pollution, and accessibility—but also sets a globally scalable benchmark for
sustainable urban development in the era of smart cities. Its success lies in the holistic integration of technological innovation, spatial planning, and behavioral
science, offering a blueprint for how cities worldwide can navigate the dual imperatives of climate resilience and inclusive growth through transformative
transportation solutions. |
| Key words: shared mobility low-carbon health future city intelligent method intelligent networking |
