| 摘要: |
| 在全球城市化加速的背景下，高密
度城市作为人口与经济活动的核心载体，普
遍面临土地资源稀缺性与复合交通需求激增
的结构性矛盾。文章旨在基于公共交通导向
发展（TOD）理论，以澳门新城A区为例，
系统构建高密度街区交通优化方案，以提升
交通系统运行效率与规划合理性。研究综合
运用交通需求预测与模拟分析技术，评估关
键路网饱和度及公共交通系统适应性等核心
指标。针对评估结果，研究提出多层次交通
系统优化策略，涵盖道路网络层级优化、对
外交通衔接整合、公共交通服务效能提升、
慢行交通网络完善及静态交通设施配置等专
项。文章通过理论与实践相结合，显著提升
了片区交通系统的高效性与合理性，并对类
似超高密度城市街区的交通规划优化提供理
论支持与技术路径。 |
| 关键词: 高密度街区系统 澳门城市规划 交通分析模拟 道路饱和度分析 公共交通
优化 |
| DOI：10.13791/j.cnki.hsfwest.20250819006 |
| 分类号: |
| 基金项目: |
|
| The research and practice of urban area traffic system optimization in Macau based onmultimodal traffic simulation |
|
MA Chicheng
|
| Abstract: |
| Urban transportation, as the lifeline connecting urban functions and supporting
socioeconomic operations, fundamentally determines the quality and sustainability of urban
development. Conducting forward-looking and systematic planning for transportation systems
represents an imperative response to national strategies and a critical undertaking for promoting highquality
urban development. Against the backdrop of accelerating global urbanization, high-density
cities, which serve as primary hubs for population and economic activities, universally confront a
structural contradiction between land resource scarcity and a surge in composite transportation
demands. Although Transit-Oriented Development (TOD) theory and advanced technologies have
matured, a significant gap persists in their practical application within the planning of specific highdensity
urban districts. Grounded in the theory of Transit-Oriented Development (TOD), this study
aims to construct a systematic transportation optimization scheme for high-density urban districts,
using Macau’s New District Zone A as a case study, with the objective of enhancing the operational
efficiency and planning rationality of the transportation system. This article uses the transportation
system optimization of Macau’s New District Zone A as a case study. Located between the Macau
Peninsula and the Hong Kong-Zhuhai-Macau Bridge’s Macau Port artificial island, Zone A is the
largest among the six new reclamation areas in Macau, with a total area of approximately 1.7 square
kilometers. The Macau Master Plan designates Zone A primarily for residential functions, with a
planned population of approximately 96,000 residents. This transportation system plan forms part of
the “Detailed Plan for the Eastern District-2 Planning Zone”, and the corresponding administrative
regulation was officially published in the government gazette on March 18, 2024 (Regulation No. 8/
2024). The research comprehensively employs transportation demand forecasting and simulation
analysis techniques to evaluate core indicators, including the saturation levels of key road networks
and the adaptability of the public transportation system. The traffic volume forecast for the study area
is conducted using the conventional “Four-Step” model. The research on traffic flow analysis is
conducted through a four-stage methodology. The first stage involves Trip Generation Prediction.
Based on an analysis of the socio-economic and transportation development status within the
project’s influence area, future socio-economic trends are analyzed to forecast the future travel
demand. The second stage entails Trip Distribution Prediction. Based on the current distribution
pattern, the Growth Factor Method is applied to predict the distribution for the target year. The third
stage involves Mode Split. Utilizing recent statistical data on travel structure, the target year’s travel
structure will be determined by calculating the diversion rates of various transportation modes to the
newly built rail line, followed by adjustments based on travel modes. The fourth stage consists of
Traffic Assignment. This step initially involves forecasting the load factors for various vehicle types
and converting them into Passenger Car Units. In terms of the assignment sequence, freight traffic
volume, through passenger traffic volume, and the traffic volume generated after the project's
completion are allocated successively. The through-traffic freight volume was assigned utilizing theUser Equilibrium model, while the freight volume within Zone A, through-passenger traffic, and the traffic generated by the development of Zone A were
assigned using the Stochastic User Equilibrium model, thereby deriving the traffic volume for each road in the project. The assignment methodology employed
the “Bureau of Public Roads (BPR)” model within TransCAD 6.0 software. Considering that travel choices for through-freight traffic may be influenced by
regulations or policy guidance, the User Equilibrium model was applied; whereas the Stochastic User Equilibrium model was used for assigning Zone A freight,
through-passenger traffic, and car trips originating from Zone A. Professional traffic simulation software VISSIM was utilized to model and analyze the
northern section of the outer ring road and its intersections, evaluating its operational performance. The analysis of public transport adaptability referenced the
operational context of Macau’s currently active Taipa Line.Based on the evaluation results, the study proposes a multi-level transportation system optimization
strategy. This encompasses specialized components, including road network hierarchy optimization, integration of external transportation linkages,
enhancement of public transport service efficiency, improvement of the slow-traffic (pedestrian and cycling) network, and configuration of static transportation
(parking) facilities. The core strategies include: 1) Optimizing the road network system by increasing the density of branch roads on the basis of the skeleton
road network determined by the upper-level plan, forming a road system characterized by narrow streets and a dense network. 2) Optimizing road cross-section
designs to improve traffic capacity. 3) For TOD-oriented projects, organizing public transport and slow-traffic systems by constructing an integrated “rail
transit, public transport, slow traffic” triple-network system, achieving seamless transfers through three-dimensional interchange hubs. 4) Conducting an overall
planning layout optimization of the transportation system. While optimizing the road network layout, and considering the current status of public transport, the
strategy involves building a three-dimensional, composite, all-day slow-traffic system.By integrating theory with practice, this study significantly enhances the
efficiency and rationality of the district’s transportation system, providing theoretical support and a technical pathway for transportation planning optimization
in similar ultra-high-density urban districts. |
| Key words: high-density block system Macao urban planning transportation analysis simulation road saturation analysis public transportation optimization |
