交通運輸係以支持人類生活需求之旅行行為為目的，藉能源技術、專業化生產、資通訊科技等技術革新，逐步推進發展。其中，自動駕駛(autonomous driving)以人工智慧與資通訊科技應用，成為移動需求變化下的創新交通運輸模式。有鑑於城市系統中，土地利用為城市活動之空間反映，交通運輸為滿足多活動間移動需求之服務項目，且以可及性循環影響土地利用分布，而達動態均衡互動關係。是以自動駕駛作為交通運輸的一項重要革新，於該互動關係將產生何種影響特性，是謂本領域研究重要議題。
自動駕駛於交通運輸之應用，存在對私人、主動、公共、共享運輸引入的彈性時空分擔方案，而於相關研究中顯示，將基於車距縮減、車速限制、取代傳統汽柴油車輛、交通基礎設施釋出等特性，改善氣候變遷、交通壅塞、土地使用效率等城市發展課題。然自動駕駛若應用於私人運輸並採跨區域性移動，將因服務範圍擴大、旅行成本降低等，對大眾運輸產生替代性效果，並降低土地利用與交通運輸系統效率。是以，相關研究指出，自動駕駛採共享、配合公共運輸之運輸模式具可行性，並且以交通公平為考量的政策框架具有必要性。然既有研究多偏重採變數指標，探討私人與共享運輸應用間旅行行為與特定土地利用之異質性，而缺乏探討自動駕駛於共享運輸之差異性應用，對宏觀空間尺度土地利用的影響效果，以及該交通政策方案的公平性評估。
是以，本研究以2050年嘉義縣為研究範圍，研擬自動駕駛於共享運輸應用之兩政策方案：共享無縫支援既有大眾運輸之再生智能城市情境(The Regenerative City)、共享出租取代既有大眾運輸之之高移動性城市情境(The hypermobile city)，並採用結合細胞自動機(Cellular Automata, CA)、馬可夫鏈(Markov Chain)與多層感知(Multilayer Perceptron, MLP)之土地利用變遷模型(Land use Change Model, LCM)，進行土利用模擬，並進一步採用結合基尼指數(Gini Index)與洛倫茲曲線(Lorenz curve)之社會相關可及性影響評估法(SRAI)，以基本可及性為觀點之空間公平分析，進行政策適用性評估。
結果表明，兩情境之土地利用損益變化與轉換類型相近，然分布型態及分布區位存在異質性，分別反映高移動性城市基於聚集經濟、住宅選擇，屬長距離旅次之分散式分布特性，再生智能城市則受限於服務空間範圍，而屬於短距離旅次下，以節點為核心的轉變特性。空間公平性評估結果則表明，兩政策於使用者之於基本服務的空間公平存在明顯提升效果，且以高移動性城市為高，然若以都市規劃觀點論之，該政策因尚存在土地碎化、建城區範圍擴增、基礎設施供給效率等疑義，是以再生智能城市應在家戶之於基本服務的機會可及性屬高度公平，且各類基本服務間的公平性較高移動性為高的特性下，具有適用性，然鑑於部分基本服務間的公平性相較基年有降低的情形，是以建議應探討土地使用管制相關政策於政策實施之引導效果。

The transportation department aims to support the travel behavior and develop through technological innovations. With the application of artificial and ICTs, autonomous driving becomes an innovative transportation mode under the changing movement demand. Considering land use reflects urban spatial activities, and transportation services the needs of movement demand among multiple activities, they achieve dynamic equilibrium with accessibility. Taking autonomous driving as an important innovation in transportation, how it impacts to the interaction is an important issue.
The flexible time-space collaborative relationship of transportation in autonomous is comprised of private, active, public, and sharing transportation in the application of autonomous driving. According to relevant research, it can solve urban issues such as climate change, traffic congestion and land use efficiency with the reduction of vehicle distance, speed limit, replacement of traditional vehicles, and transportation infrastructure. However, it may also reduce the efficiency of land use and transportation systems with the alternative effect on public transportation. Therefore, relevant studies suggest that sharing autonomous driving and the traffic equality policy evaluation framework is necessary in autonomous driving era. However, existing studies mostly use variable indicators to analyze the travel behavior and specific land use in autonomous driving scenario, but lack of analyzing the impact on macro-spatial scale of land use and traffic equality among different proposal of sharing autonomous driving policy.
This study takes Chiayi County in 2050 as study aera, set two kinds of autonomous vehicle policy: the Regenerative City, sharing seamless autonomous vehicle supporting the existing public transportation, and The Hypermobile City, sharing rental autonomous vehicle system replacing the existing public transportation. In order to analyze the macro-spatial scale of land use and traffic equality, this study do an empirical analysis through the use of LCM model based on the combination of CA-Markov and MLP, and SRAI method based on the combination of Gini Index and Lorenz curve.
The result of land use simulation shows that the profit and loss changes, net changes and conversion types in the two scenarios are similar, but there is heterogeneity in the spatial distribution pattern. In addition, the result also reflects the distribution characteristics of different sharing autonomous driving policy. To the Hypermobile City, the scattered distribution of land use reflects the long-distance travel characteristic based on agglomeration economy and housing selection. To the Regenerative City, land use change with the node-centered distribution reflects the limitation of service space.
The equality evaluation results from the viewpoint of access to opportunity show that the use of seamless transportation as a support for existing public transportation, or replacement by rental systems, both improve the access to basic services, especially in the later one. However, concerning the existent problems in later scenario such as land fragmentation, expansion of the urban area, low infrastructure supply efficiency and basic service equality, therefore, the former scenario should be applicable under the high equality of households to basic services and higher equality among various basic services.

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