Bus bunching along a corridor served by two lines JD Schmöcker, W Sun, A Fonzone, R Liu Transportation Research Part B: Methodological 93, 300-317, 2016 | 93 | 2016 |
Considering passenger choices and overtaking in the bus bunching problem W Sun, JD Schmöcker Transportmetrica B: Transport Dynamics 6 (2), 151-168, 2018 | 32 | 2018 |
Restrictive and stimulative impacts of COVID-19 policies on activity trends: A case study of Kyoto W Sun, JD Schmöcker, S Nakao Transportation Research Interdisciplinary Perspectives 13, 100551, 2022 | 13 | 2022 |
Estimating the route-level passenger demand profile from bus dwell times W Sun, JD Schmöcker, K Fukuda Transportation Research Part C: Emerging Technologies 130, 103273, 2021 | 12 | 2021 |
On the tradeoff between sensitivity and specificity in bus bunching prediction W Sun, JD Schmöcker, T Nakamura Journal of Intelligent Transportation Systems 25 (4), 384-400, 2021 | 11 | 2021 |
Exploring the profitability of using electric bus fleets for transport and power grid services F Fei, W Sun, R Iacobucci, JD Schmöcker Transportation Research Part C: Emerging Technologies 149, 104060, 2023 | 9 | 2023 |
Explaining a century of Swiss regional development by deep learning and SHAP values Y Lai, W Sun, JD Schmöcker, K Fukuda, KW Axhausen Environment and Planning B: Urban Analytics and City Science 50 (8), 2238-2253, 2023 | 8 | 2023 |
Explaining and predicting station demand patterns using google popular times data T Vongvanich, W Sun, JD Schmöcker Data Science for Transportation 5 (2), 10, 2023 | 7 | 2023 |
Calibration of sightseeing tour choices considering multiple decision criteria with diminishing reward K Shen, JD Schmöcker, W Sun, AG Qureshi Transportation 50 (5), 1897-1921, 2023 | 5 | 2023 |
Frozen city: Analysing the disruption and resilience of urban activities during a heavy snowfall event using Google Popular Times E Santiago-Iglesias, J Carpio-Pinedo, W Sun, JC García-Palomares Urban Climate 51, 101644, 2023 | 4 | 2023 |
Demand estimation for public transport network planning W Sun, JD Schmöcker The Routledge Handbook of Public Transport, 289-305, 2021 | 4 | 2021 |
Traffic resilience quantification based on macroscopic fundamental diagrams and analysis using topological attributes QL Lu, W Sun, J Dai, JD Schmöcker, C Antoniou Reliability Engineering & System Safety 247, 110095, 2024 | 3 | 2024 |
Bus bunching prediction and transit route demand estimation using automatic vehicle location data W Sun Kyoto University, 2020 | 3 | 2020 |
Demonstrating the feasibility of using Wi-Fi sensors for dynamic bus-stop queue length estimation H Jee, W Sun, JD Schmöcker, T Nakamura Public Transport, 1-18, 2023 | 2 | 2023 |
Generating and Calibrating a Microscopic Traffic Flow Simulation Network of Kyoto: First Insights from Simulating Private and Public Transport A Keler, W Sun, JD Schmöcker SUMO Conference Proceedings 4, 189-195, 2023 | 2 | 2023 |
On the Relationship Between Crowdsourced Sentiments and Mobility Trends During COVID-19: A Case Study of Kyoto W Sun, H Kobayashi, S Nakao, JD Schmöcker Data Science for Transportation 5 (3), 17, 2023 | 1 | 2023 |
The Impact of COVID-19 Policies on Nightlife in Kyoto K Nozawa, W Sun, JD Schmoecker, S Nakao Findings, 2024 | | 2024 |
Unravelling route choices of large trucks using trajectory clustering and conditional Logit models Y Ma, JD Schmöcker, W Sun, S Nakao International Journal of Transportation Science and Technology, 2024 | | 2024 |
Analyzing demand reduction and recovery of major rail stations in Japan during COVID-19 using mobile spatial statistics J Dai, JD Schmöcker, W Sun Asian Transport Studies 10, 100120, 2024 | | 2024 |
Activity reduction as resilience indicator: evidence with Filomena data E Santiago-Iglesias, JD Schmöcker, J Carpio Pinedo, ... | | 2023 |