大連理工大學(xué)首頁English
活動講座
當(dāng)前位置: 首頁 >> 活動講座 >> 活動講座 >> 正文
活動講座

Choice-Driven Multi-Period Service Design for Advanced Air Mobility

2025年12月02日 20:24  

報(bào)告題目:Choice-Driven Multi-Period Service Design for Advanced Air Mobility

報(bào)告人:Dr. Yu Jiang

邀請人:鐘紹鵬 教授

報(bào)告時(shí)間及地點(diǎn):2025年12月9日 經(jīng)濟(jì)管理學(xué)院B305 14:00-16:00

報(bào)告人簡況:

Dr Yu Jiang is an associate professor at Lancaster University Management School, United Kingdom and an associate professor at the Technical University of Denmark (Part Time). Prior to this, he worked at Oxford University and received his PhD from the Hong Kong University. According to Web of Science, he is a top author worldwide in the field of “transit assignment,” focusing on predicting public transport passenger route choices using mathematical models, and is listed among the World's Top 2% Scientists by Stanford University/Elsevier. He is a reviewer for leading international journals and has been invited to review grant applications by prestigious funding councils. His work has been funded by the European Union, Danmarks Frie Forskningsfond, the Otto M?nsted Foundation, the EuroTech Alliance and the Royal Society of the United Kingdom.

報(bào)告內(nèi)容摘要:

Advanced Air Mobility is poised to become a novel and competitive alternative for urban and regional travel, and service network planning is key to ensuring its economic viability for operators. To this end, we propose a framework for AAM Service Design that jointly optimises vertiport locations, vertiport capacity, service frequency, and pricing strategies, while capturing the interdependence between passenger travel choices and service design, with the goal of maximising overall profitability over a multi-period time horizon. To overcome the computational challenges of integrating a choice model into the problem, we devise an exact approach that transforms the Mixed-Integer Nonlinear Programming model into an Integer Linear Programming model. Our approach substantially outperforms traditional linearisation approaches in terms of computational efficiency and solution quality. We employ the proposed model with experiments based on the existing UK railway network, covering 30 cities. Our results reveal a strong interdependence between vertiport and electric vertical takeoff and landing aircraft investments, highlighting that coordinated allocation is essential to maximise overall profitability. As expected, the benefits of AAM are most pronounced for city pairs where ground transport involves longer travel times. Furthermore, our sensitivity analysis demonstrates that the optimal service network is highly dependent on the utility coefficients in the choice model, underscoring the necessity of incorporating the choice model and the need for accurate parameter estimation in the choice-driven service design.

上一條:Dynamic Pricing and Quality Using Consumer Review–Driven Learning

下一條:政策如何影響大宗商品市場:來自 NLP 敘事新聞的視角

關(guān)閉

金华市| 沂源县| 昭苏县| 湖南省| 栖霞市| 陕西省| 亚东县| 灵璧县| 车致| 镇原县| 建始县| 二连浩特市| 五莲县| 五原县| 海原县| 额敏县| 通化县| 涟源市| 赞皇县| 武平县| 钟山县| 永靖县| 特克斯县| 长丰县| 六枝特区| 南雄市| 鄯善县| 民乐县| 阿荣旗| 岢岚县| 马龙县| 陈巴尔虎旗| 苗栗市| 乌鲁木齐县| 隆安县| 商水县| 玉田县| 手游| 武冈市| 玛纳斯县| 始兴县|