# Dr. Yu Jiang: published content index

> Dr. Yu Jiang is an Associate Professor at Lancaster University specialising in public transport optimization, transit assignment, and multimodal mobility.

Generated from the site's published content at build time. Visit each page for full text, sources, and current context.

## Research projects

- [CultureRoad: Ensuring Equitable Deployment of Automated Mobility Contexts](https://dryujiang.uk/projects/cultureroad-ensuring-equitable-deployment-of-automated-mobility-contexts) (2026-01-12): Developing innovative methodologies to ensure the equitable deployment of Cooperative, Connected, and Automated Mobility (CCAM) services across diverse cultural contexts.
- [HASTODO: Harnessing Multisource Data for Public Transport](https://dryujiang.uk/projects/hastodo-harnessing-multisource-data-for-public-transport) (2026-01-11): A holistic methodology to diagnose public transport problems and develop stochastic optimisation models using heterogeneous big data.
- [SmoothTrip: A Holistic Methodology for Integrated Urban Transit Optimisation](https://dryujiang.uk/projects/smooth-trip) (2026-01-10): Developing an integrated model to optimise the urban public transport system as a whole, facilitating cooperation between operators.
- [CoMobility: Integrating Passenger & Freight Transport](https://dryujiang.uk/projects/comobility-integrating-passenger-freight-transport) (2024-05-01): Optimizing urban mobility by integrating passenger and goods transport using demand-responsive vehicles, drones, and crowdshipping strategies.
- [NEMESYS: Dynamic Pricing and Tradable Credits for Urban Emission Management](https://dryujiang.uk/projects/nemesys-dynamic-pricing-and-tradable-credits-for-urban-emission-management) (2023-12-31): Addressing urban traffic congestion through dynamic pricing and tradable credit schemes (TCS) as equitable, revenue-neutral alternatives to traditional congestion pricing.
- [CaaS: Crowdsourced Delivery for Sustainable Cities](https://dryujiang.uk/projects/caas-crowdsourced-delivery-for-sustainable-cities) (2023-10-01): Establishing limits and incentives for crowdsourced delivery as a secondary activity in daily trip chains to reduce urban traffic.
- [LINC - Transforming Urban Planning Providing Autonomous Collective mobility](https://dryujiang.uk/projects/linc-transforming-urban-planning-providing-autonomous-collective-mobility) (2021-11-01): Exploring how autonomous shuttle buses can contribute to transparent, sustainable, and shared mobility in suburban municipalities through real-world testing and smart sensing.
- [IPTOP: Integrated Public Transport Optimisation and Planning](https://dryujiang.uk/projects/iptop-integrated-public-transport-optimisation-and-planning) (2015-01-01): Developing quantitative methods and tools to enable a breakthrough in large-scale support for public transport planning and operations.

## News and announcements

- [Continuing Recognition among the World's Top 2% Scientists in 2026](https://dryujiang.uk/news/top-2-percent-scientists-2026) (2026-10-08): Recognition in the 2026 Stanford/Elsevier World's Top 2% Scientists list for single-year impact.
- [Chairing the Assessment Committee for Xiaoyi Wu's PhD at DTU](https://dryujiang.uk/news/xiaoyi-wu-phd-viva-dtu) (2026-10-06): A pleasure to chair the assessment committee for Xiaoyi Wu's PhD at DTU and celebrate a well-deserved achievement in future mobility systems.
- [Postdoctoral Fellowships in Transport at Lancaster University](https://dryujiang.uk/news/postdoctoral-fellowship-opportunities-lancaster) (2026-09-17): Develop an MSCA or Newton postdoctoral fellowship application in transport, logistics or operations research with Dr Yu Jiang at Lancaster University.
- [Dr Yu Jiang Invited to Transportmetrica B: Transport Dynamics Editorial Board](https://dryujiang.uk/news/transportmetrica-b-editorial-board-invitation-2026) (2026-08-28): Dr Yu Jiang has been invited to join the Editorial Board of Transportmetrica B: Transport Dynamics and welcomes distinctive transport research submissions.
- [Dr Yu Jiang Invited to Transportmetrica A: Transport Science Editorial Board](https://dryujiang.uk/news/transportmetrica-a-editorial-board-invitation-2026) (2026-08-24): Dr Yu Jiang has been invited to join the Editorial Board of Transportmetrica A: Transport Science, supporting rigorous peer review and high-quality transport research.
- [2026–27英国CSC访问学者名额 Available｜公共交通优化与运营](https://dryujiang.uk/news/csc-visiting-scholar-public-transport-optimisation-2026) (2026-08-12): 2026–27英国CSC访问学者名额：在兰卡斯特大学与姜宇博士开展公共交通优化合作研究，方向包括公交网络设计、公交分配、时刻表优化和客货邮融合。查看申请条件、访学期限、材料及联系方式。
- [Funding Opportunity: LUMS Visiting Scholar Scheme 2026–27](https://dryujiang.uk/news/lums-visiting-scholar-scheme-2026) (2026-08-05): Lancaster University Management School Visiting Scholar Scheme 2026–27: up to £3,000 to support a one- to two-week collaborative research visit. Internal deadline: 16 September 2026.
- [Accepted: Active Learning-Enhanced Traffic Signal Control in TRC](https://dryujiang.uk/news/active-learning-traffic-signal-control-trc-2026) (2026-08-04): New Transportation Research Part C paper on active learning-enhanced constrained multi-objective Bayesian optimisation for multi-modal traffic signal control. Paper: Active learning-enhanced constrained Bayesian optimization for multi-modal and multi-objective traffic signal control; DOI: https://doi.org/10.1016/j.trc.2026.105872
- [Yuhan Jiang to Present on Advanced Air Mobility Service Design at IFORS 2026](https://dryujiang.uk/news/yuhan-jiang-to-present-on-advanced-air-mobility-service-design-at-ifors-2026) (2026-07-14): Yuhan Jiang will present our research on multi-period Advanced Air Mobility (AAM) service design at the IFORS 2026 conference in Vienna, Austria. Session FA-51.
- [Attending UTSG 2026 Annual Conference at the University of Surrey](https://dryujiang.uk/news/attending-utsg-2026-annual-conference-at-the-university-of-surrey) (2026-07-11): Dr. Yu Jiang, Associate Professor at Lancaster University, will attend the UTSG 2026 Annual Conference at the University of Surrey, Guildford, UK, 13–15 July 2026. Research interests include public transport optimisation, choice-based transit planning, and AI for sustainable mobility.
- [New Book: Harnessing Multi-Source Heterogeneous Data for Public Transit](https://dryujiang.uk/news/book-harnessing-multi-source-data-public-transit) (2026-06-23): Harnessing Multi-Source Heterogeneous Data for Public Transit: Problem Diagnosis and Stochastic Optimization — a new Springer monograph by Shaopeng Zhong and Yu Jiang, published in the International Series in Operations Research & Management Science. Covers Bayesian networks, multi-objective optimisation, cluster analysis, transit assignment, and data mining for public transit planning.
- [Published: Routing and Scheduling in Home Health Care with Time Slot Selection (TRE 2026)](https://dryujiang.uk/news/published-routing-and-scheduling-in-home-health-care-with-time-slot-selection-tre-2026) (2026-06-01): New research paper in Transportation Research Part E on home healthcare routing and scheduling with online time slot selection. Bi-level model, Stackelberg game, ALNS metaheuristic. By Dr. Yu Jiang, Lancaster University.
- [Accepted: A choice-based optimization framework for crowdsourced last-mile delivery](https://dryujiang.uk/news/accepted-a-choice-based-optimization-framework-for-crowdsourced-last-mile-delivery) (2026-04-08): New research paper accepted in TRE on crowdsourced last-mile delivery optimization. Collaborative work by Mina Akbarpour and colleagues.
- [Launch Announcement: Patience and Iteration — Craft Your AI into a Second Mind for Science](https://dryujiang.uk/news/book-patience-iteration) (2026-03-19): Patience and Iteration by Dr. Yu Jiang — a practical stage-by-stage guide for PhD students, postdocs, and principal investigators to transform AI into a high-performance research partner and build an AI Second Mind for science. Available on Amazon UK.
- [Accepted: Optimisation of Bus Timetables: An ALNS-based Matheuristic with a Novel Operator Weight](https://dryujiang.uk/news/accepted-optimisation-of-bus-timetables-an-alns-based-matheuristic-with-a-novel-operator-weight) (2026-01-26): New research paper accepted in EJOR on bus timetable optimization using ALNS-based matheuristic. Part of the SmoothTrip project by Dr. Yu Jiang.
- [Funding Opportunity: Royal Society International Exchanges 2026](https://dryujiang.uk/news/funding-opportunity-royal-society-international-exchanges-2026) (2026-01-20): Seeking international partners for Royal Society International Exchanges 2026. Joint research on User-centric transit planning and AI with Dr. Yu Jiang.
- [Accepted: Pareto optimal regulatory strategies for coupled ridesourcing and taxi markets](https://dryujiang.uk/news/accepted-pareto-optimal-regulatory-strategies-for-coupled-ridesourcing-and-taxi-markets) (2026-01-19): New research paper accepted in Transportation Research Part E discussing Pareto optimal regulatory strategies for coupled ridesourcing and taxi markets. By Dr. Yu Jiang.
- [Funding Opportunity: British Academy International Fellowships 2026](https://dryujiang.uk/news/funding-opportunity-british-academy-international-fellowships-2026) (2026-01-15): Apply for the British Academy International Fellowships 2026 with Dr. Yu Jiang. Research topics: AI in transit, choice-based planning, and passenger-freight integration.
- [Travel & Activity Agenda 2026](https://dryujiang.uk/news/travel-activity-agenda-2026) (2026-01-08): Stay updated on Dr. Yu Jiang's 2026 schedule, including international conferences, guest lectures, and a teaching residency at LUC@BJTU in Weihai, China.

## Blog and commentary

- [Commentary: Paris Protests, Metro Station Closures and Lost Connections](https://dryujiang.uk/blog/paris-protests-metro-station-closures-2026) (2026-10-22): How the October 2026 Paris protests and Metro station closures affected interchange access, and what they reveal about public transport resilience.
- [Commentary: Faster, More Reliable Buses Are a Matter of Access](https://dryujiang.uk/blog/london-bus-speed-reliability-commentary-2026) (2026-09-23): Commentary on London bus speeds, reliability and the equity implications of declining performance, with a focus on bus priority and better coordination of roadworks.
- [Commentary: Lancashire’s £1 Evening and Sunday Bus Fare Extension](https://dryujiang.uk/blog/lancashire-one-pound-fare-extension-commentary-2026) (2026-09-17): A commentary on Lancashire’s £1 evening and Sunday bus fare extension: welcome affordability support, financial sustainability concerns, and the case for mathematical modelling.
- [Active Learning-Enhanced Constrained Bayesian Optimization for Multi-Modal and Multi-Objective Traffic Signal Control](https://dryujiang.uk/blog/active-learning-constrained-bayesian-traffic-signal-control) (2026-08-04): New research combining active learning, fully Bayesian Gaussian processes, and constrained multi-objective Bayesian optimization for traffic signal control across private cars, buses, and bicycles. Paper: Active learning-enhanced constrained Bayesian optimization for multi-modal and multi-objective traffic signal control; DOI: https://doi.org/10.1016/j.trc.2026.105872
- [Andy Burnham’s public transport record, 2017–2026](https://dryujiang.uk/blog/andy-burnham-public-transport-record) (2026-07-22): A source-based record of major public-transport governance, planning, service, fare, safety, fleet and infrastructure actions during Andy Burnham’s period as Mayor of Greater Manchester.
- [Buses as Backbone: Franchising, Fleet Renewal, and the Case for Seamless Public Transport in Wales](https://dryujiang.uk/blog/buses-as-backbone-franchising-fleet-renewal-and-the-case-for-seamless-public-transport-in-wales) (2026-07-01): Wales's new Plaid Cymru government prioritises bus franchising and fleet renewal. Commentary on the optimisation challenges by Dr. Yu Jiang.
- [Disruption at the Gate: Call for Network Resilience and Bus Bridging](https://dryujiang.uk/blog/gatwick-sinkhole-disruption) (2026-06-17): A sudden infrastructure failure near Purley stranded thousands of Gatwick travelers, presenting a classic real-time network resilience and bus bridging challenge.
- [Routing and Scheduling in Home Health Care: The Power of Online Time Slot Selection](https://dryujiang.uk/blog/routing-scheduling-home-healthcare-time-slot-selection) (2026-06-01): Optimising home healthcare routing and scheduling with online time slot selection under patient discrete choice behaviour. Bi-level Stackelberg model solved by tailored ALNS. Dr. Yu Jiang, Transportation Research Part E, 2026. DOI: https://doi.org/10.1016/j.tre.2026.103108
- [Who Wins When Uber and Taxis Compete? The Case for Pareto-Optimal Regulation](https://dryujiang.uk/blog/ridesourcing-taxi-pareto-regulation) (2026-04-01): Pareto-optimal regulatory strategies for coupled ridesourcing and taxi markets with impatient passengers. Dr. Yu Jiang, Transportation Research Part E, Vol. 208, 2026. Multi-objective bi-level programming, Bayesian optimisation, platform commission regulation, taxi licence quota. DOI: https://doi.org/10.1016/j.tre.2026.104677
- [OptimalTransit Hub: An End-to-End Analytics and Optimisation Platform](https://dryujiang.uk/blog/optimal-transit-hub-platform) (2026-02-22): Fusing multisource transit data into a unified data pipeline that diagnoses service problems and prescribes evidence-based improvements. Developed by Dr. Yu Jiang.
- [AI-Enhanced Carbon Management: A Strategic Leap Beyond Compliance](https://dryujiang.uk/blog/ai-enhanced-carbon-management) (2026-02-09): Transforming carbon reporting into a prospective strategic asset using Large Language Models and Stochastic Optimization. Research summary by Dr. Yu Jiang.
- [Beyond the Savings: How Scotland's Youth Bus Fares Shape Travel Behavior](https://dryujiang.uk/blog/scottish-youth-bus-savings) (2026-02-04): How Scotland's youth bus fare policy shapes long-term travel behavior and sustainable mobility choices. A behavioral economics perspective by Dr. Yu Jiang.
- [The Inverse-Square Rule: Smarter Algorithms, Better Buses](https://dryujiang.uk/blog/inverse-square-rule-smarter-algorithms) (2026-01-26): Introducing the Inverse-Square Rule: a mathematical breakthrough that transforms bus timetable optimization, achieving 36-45% cost reductions. Research by Dr. Yu Jiang.
- [Fares, Funding, and Future: A Passenger-Centric Perspective on Rail Subsidy](https://dryujiang.uk/blog/fares-funding-future-rail-subsidy) (2026-01-21): Rising rail revenue vs government subsidy: Why understanding passenger behavior and demand elasticity is key to financial equilibrium. Insights from Dr. Yu Jiang.
- [Passengers Matter: Why Transit Assignment is the Key to TfL’s Route Changes](https://dryujiang.uk/blog/hidden-complexity-london-bus-cuts) (2026-01-08): Why TfL's bus route cuts reveal a critical gap in network science. Analyzing the London bus network through Bi-level Programming. Commentary by Dr. Yu Jiang.
- [The '13-Amp' Bottleneck: Overcoming Power Grid Limitations in Bus Electrification](https://dryujiang.uk/blog/the-13-amp-bottleneck-overcoming-power-grid-limitations-in-bus-electrification) (2026-01-04): Addressing the power grid bottleneck in London's electric bus transition through Integrated Bus and Charging Schedule Optimization. Expert commentary by Dr. Yu Jiang.
- [Expert Review: Redesigning City Bus Networks - Frequency vs. Coverage](https://dryujiang.uk/blog/expert-review-redesigning-city-bus-networks-frequency-vs-coverage) (2026-01-04): A deep dive into recent public transport overhauls and the optimization challenges behind frequency vs coverage trade-offs. Analysis by Dr. Yu Jiang.
- [Evaluating Manchester’s Bee Network: Data-Driven Insights and Optimization Opportunities](https://dryujiang.uk/blog/data-driven-insights-into-manchesters-bee-network) (2025-10-03): Data-driven insights into the Manchester Bee Network. Evaluating patronage, service distribution, and future optimization opportunities. By Dr. Yu Jiang.

## Presentations

- [Mathematical Modelling of Travel Behavior: Theory and Advanced Applications](https://dryujiang.uk/presentations/travel-behavior-theory) (2026-01-15): A comprehensive seminar on the mathematical foundations of travel behavior modeling, covering user equilibrium theory, stochastic models, bilevel programming for network design, and advanced solution algorithms including ALNS and machine learning approaches.
- [Choice-Driven Optimization and Integrated Transit Operations: Research Overview](https://dryujiang.uk/presentations/central-workshop) (2025-01-06): Research overview covering choice-driven optimization and integrated transit operations, including urban air mobility network design, behavioral modeling, bilevel programming, and integration of transit services with automated mobility.
- [Optimisation of Bus Timetables using Adaptive Large Neighborhood Search (ALNS)](https://dryujiang.uk/presentations/bus-timetables-alns) (2024-11-20): Novel matheuristic approach combining Adaptive Large Neighborhood Search (ALNS) with mixed-integer programming to solve large-scale bus schedule optimization. Introduces the Inverse-Square Rule for efficient operator selection in ALNS with heterogeneous computation times.