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Beverungen, “Designing taxi ridesharing systems with shared pick-up and drop-off locations: Insights from a computational study,” <i>Transportation Research Part A: Policy and Practice</i>, 2024.","chicago":"Stumpe, Miriam, Peter Dieter, Guido Schryen, Oliver Müller, and Daniel Beverungen. “Designing Taxi Ridesharing Systems with Shared Pick-up and Drop-off Locations: Insights from a Computational Study.” <i>Transportation Research Part A: Policy and Practice</i>, 2024.","mla":"Stumpe, Miriam, et al. “Designing Taxi Ridesharing Systems with Shared Pick-up and Drop-off Locations: Insights from a Computational Study.” <i>Transportation Research Part A: Policy and Practice</i>, 2024.","bibtex":"@article{Stumpe_Dieter_Schryen_Müller_Beverungen_2024, title={Designing taxi ridesharing systems with shared pick-up and drop-off locations: Insights from a computational study}, journal={Transportation Research Part A: Policy and Practice}, author={Stumpe, Miriam and Dieter, Peter and Schryen, Guido and Müller, Oliver and Beverungen, Daniel}, year={2024} }","short":"M. Stumpe, P. Dieter, G. Schryen, O. Müller, D. Beverungen, Transportation Research Part A: Policy and Practice (2024).","apa":"Stumpe, M., Dieter, P., Schryen, G., Müller, O., &#38; Beverungen, D. (2024). Designing taxi ridesharing systems with shared pick-up and drop-off locations: Insights from a computational study. <i>Transportation Research Part A: Policy and Practice</i>."},"year":"2024","has_accepted_license":"1","title":"Designing taxi ridesharing systems with shared pick-up and drop-off locations: Insights from a computational study","date_created":"2024-04-02T12:10:56Z","author":[{"first_name":"Miriam","id":"64135","full_name":"Stumpe, Miriam","last_name":"Stumpe"},{"first_name":"Peter","id":"88592","full_name":"Dieter, Peter","last_name":"Dieter"},{"first_name":"Guido","id":"72850","full_name":"Schryen, Guido","last_name":"Schryen"},{"last_name":"Müller","full_name":"Müller, Oliver","id":"72849","first_name":"Oliver"},{"first_name":"Daniel","last_name":"Beverungen","id":"59677","full_name":"Beverungen, Daniel"}],"date_updated":"2024-04-02T12:29:47Z","oa":"1","file":[{"content_type":"application/pdf","relation":"main_file","creator":"mateskam","date_created":"2024-04-02T12:10:18Z","date_updated":"2024-04-02T12:10:18Z","access_level":"open_access","file_name":"Designing_TRS-systems_Final.pdf","file_id":"53131","file_size":835032}],"status":"public","type":"journal_article","publication":"Transportation Research Part A: Policy and Practice","language":[{"iso":"eng"}],"file_date_updated":"2024-04-02T12:10:18Z","ddc":["000"],"user_id":"51811","department":[{"_id":"277"},{"_id":"526"},{"_id":"196"}],"_id":"53130"},{"language":[{"iso":"eng"}],"department":[{"_id":"277"}],"user_id":"88592","_id":"57208","status":"public","abstract":[{"lang":"eng","text":"<jats:p> Home delivery failures, traffic congestion, and relatively large handling times have a negative impact on the profitability of last-mile logistics. A potential solution is the delivery to parcel lockers or parcel shops, denoted by out-of-home (OOH) delivery. In the academic literature, models for OOH delivery are so far limited to static settings, contrasting with the sequential nature of the problem. We model the sequential decision-making problem of which OOH location to offer against what incentive for each incoming customer, taking into account future customer arrivals and choices. We propose dynamic selection and pricing of OOH (DSPO), an algorithmic pipeline that uses a novel spatial-temporal state encoding as input to a convolutional neural network. We demonstrate the performance of our method by benchmarking it against two state-of-the-art approaches. Our extensive numerical study, guided by real-world data, reveals that DSPO can save 19.9 percentage points (%pt) in costs compared with a situation without OOH locations, 7%pt compared with a static selection and pricing policy, and 3.8%pt compared with a state-of-the-art demand management benchmark. We provide comprehensive insights into the complex interplay between OOH delivery dynamics and customer behavior influenced by pricing strategies. The implications of our findings suggest that practitioners adopt dynamic selection and pricing policies. </jats:p><jats:p> History: This paper has been accepted for the Transportation Science special issue on TSL Conference 2023. </jats:p><jats:p> Funding: This work was supported by TKI DINALOG. </jats:p>"}],"publication":"Transportation Science","type":"journal_article","doi":"10.1287/trsc.2023.0434","title":"Learning Dynamic Selection and Pricing of Out-of-Home Deliveries","date_created":"2024-11-18T18:40:55Z","author":[{"last_name":"Akkerman","full_name":"Akkerman, Fabian","first_name":"Fabian"},{"full_name":"Dieter, Peter","id":"88592","last_name":"Dieter","first_name":"Peter"},{"first_name":"Martijn","full_name":"Mes, Martijn","last_name":"Mes"}],"publisher":"Institute for Operations Research and the Management Sciences (INFORMS)","date_updated":"2024-11-19T18:59:24Z","citation":{"mla":"Akkerman, Fabian, et al. “Learning Dynamic Selection and Pricing of Out-of-Home Deliveries.” <i>Transportation Science</i>, Institute for Operations Research and the Management Sciences (INFORMS), 2024, doi:<a href=\"https://doi.org/10.1287/trsc.2023.0434\">10.1287/trsc.2023.0434</a>.","short":"F. Akkerman, P. Dieter, M. Mes, Transportation Science (2024).","bibtex":"@article{Akkerman_Dieter_Mes_2024, title={Learning Dynamic Selection and Pricing of Out-of-Home Deliveries}, DOI={<a href=\"https://doi.org/10.1287/trsc.2023.0434\">10.1287/trsc.2023.0434</a>}, journal={Transportation Science}, publisher={Institute for Operations Research and the Management Sciences (INFORMS)}, author={Akkerman, Fabian and Dieter, Peter and Mes, Martijn}, year={2024} }","apa":"Akkerman, F., Dieter, P., &#38; Mes, M. (2024). Learning Dynamic Selection and Pricing of Out-of-Home Deliveries. <i>Transportation Science</i>. <a href=\"https://doi.org/10.1287/trsc.2023.0434\">https://doi.org/10.1287/trsc.2023.0434</a>","chicago":"Akkerman, Fabian, Peter Dieter, and Martijn Mes. “Learning Dynamic Selection and Pricing of Out-of-Home Deliveries.” <i>Transportation Science</i>, 2024. <a href=\"https://doi.org/10.1287/trsc.2023.0434\">https://doi.org/10.1287/trsc.2023.0434</a>.","ieee":"F. Akkerman, P. Dieter, and M. Mes, “Learning Dynamic Selection and Pricing of Out-of-Home Deliveries,” <i>Transportation Science</i>, 2024, doi: <a href=\"https://doi.org/10.1287/trsc.2023.0434\">10.1287/trsc.2023.0434</a>.","ama":"Akkerman F, Dieter P, Mes M. Learning Dynamic Selection and Pricing of Out-of-Home Deliveries. <i>Transportation Science</i>. Published online 2024. doi:<a href=\"https://doi.org/10.1287/trsc.2023.0434\">10.1287/trsc.2023.0434</a>"},"year":"2024","publication_identifier":{"issn":["0041-1655","1526-5447"]},"publication_status":"published"},{"title":"The On-Demand Delivery Problem: Assignment of Orders to Warehouses and Couriers","main_file_link":[{"url":"https://ris.uni-paderborn.de/download/57481/57482.pdf","open_access":"1"}],"doi":"10.2139/ssrn.5039888","oa":"1","date_updated":"2024-12-03T08:19:00Z","date_created":"2024-11-28T12:28:37Z","author":[{"full_name":"Dieter, Peter","id":"88592","last_name":"Dieter","first_name":"Peter"},{"first_name":"Philipp","id":"81294","full_name":"Speckenmeyer, Philipp","last_name":"Speckenmeyer"},{"first_name":"Guido","last_name":"Schryen","id":"72850","full_name":"Schryen, Guido"}],"year":"2024","citation":{"ieee":"P. Dieter, P. Speckenmeyer, and G. Schryen, <i>The On-Demand Delivery Problem: Assignment of Orders to Warehouses and Couriers</i>. 2024.","chicago":"Dieter, Peter, Philipp Speckenmeyer, and Guido Schryen. <i>The On-Demand Delivery Problem: Assignment of Orders to Warehouses and Couriers</i>, 2024. <a href=\"https://doi.org/10.2139/ssrn.5039888\">https://doi.org/10.2139/ssrn.5039888</a>.","ama":"Dieter P, Speckenmeyer P, Schryen G. <i>The On-Demand Delivery Problem: Assignment of Orders to Warehouses and Couriers</i>.; 2024. doi:<a href=\"https://doi.org/10.2139/ssrn.5039888\">10.2139/ssrn.5039888</a>","mla":"Dieter, Peter, et al. <i>The On-Demand Delivery Problem: Assignment of Orders to Warehouses and Couriers</i>. 2024, doi:<a href=\"https://doi.org/10.2139/ssrn.5039888\">10.2139/ssrn.5039888</a>.","short":"P. Dieter, P. Speckenmeyer, G. Schryen, The On-Demand Delivery Problem: Assignment of Orders to Warehouses and Couriers, 2024.","bibtex":"@book{Dieter_Speckenmeyer_Schryen_2024, title={The On-Demand Delivery Problem: Assignment of Orders to Warehouses and Couriers}, DOI={<a href=\"https://doi.org/10.2139/ssrn.5039888\">10.2139/ssrn.5039888</a>}, author={Dieter, Peter and Speckenmeyer, Philipp and Schryen, Guido}, year={2024} }","apa":"Dieter, P., Speckenmeyer, P., &#38; Schryen, G. (2024). <i>The On-Demand Delivery Problem: Assignment of Orders to Warehouses and Couriers</i>. <a href=\"https://doi.org/10.2139/ssrn.5039888\">https://doi.org/10.2139/ssrn.5039888</a>"},"has_accepted_license":"1","ddc":["000"],"language":[{"iso":"eng"}],"file_date_updated":"2024-11-28T12:19:43Z","_id":"57481","user_id":"88592","department":[{"_id":"277"}],"file":[{"date_updated":"2024-11-28T12:19:43Z","date_created":"2024-11-28T12:19:43Z","creator":"peterd","file_size":7398212,"file_id":"57482","file_name":"manuscript.pdf","access_level":"closed","content_type":"application/pdf","success":1,"relation":"main_file"}],"status":"public","type":"working_paper"},{"ddc":["000"],"language":[{"iso":"eng"}],"publication":"European Journal of Operational Research (EJOR)","file":[{"date_created":"2023-05-03T08:48:57Z","creator":"mateskam","date_updated":"2023-05-03T22:01:15Z","access_level":"open_access","file_name":"Driver_Behavior_in_last_mile_delivery_EJOR_Final.pdf","file_id":"44388","file_size":1162912,"content_type":"application/pdf","relation":"main_file"}],"date_created":"2023-05-03T08:55:42Z","title":"Integrating driver behavior into last-mile delivery routing: Combining machine learning and optimization in a hybrid decision support framework","issue":"1","year":"2023","_id":"44383","department":[{"_id":"277"}],"user_id":"72850","file_date_updated":"2023-05-03T22:01:15Z","type":"journal_article","status":"public","oa":"1","date_updated":"2023-06-20T07:00:58Z","volume":311,"author":[{"full_name":"Dieter, Peter","id":"88592","last_name":"Dieter","first_name":"Peter"},{"first_name":"Matthew","id":"60721","full_name":"Caron, Matthew","last_name":"Caron"},{"first_name":"Guido","last_name":"Schryen","full_name":"Schryen, Guido","id":"72850"}],"doi":"https://doi.org/10.1016/j.ejor.2023.04.043","has_accepted_license":"1","intvolume":"       311","page":"283-300","citation":{"chicago":"Dieter, Peter, Matthew Caron, and Guido Schryen. “Integrating Driver Behavior into Last-Mile Delivery Routing: Combining Machine Learning and Optimization in a Hybrid Decision Support Framework.” <i>European Journal of Operational Research (EJOR)</i> 311, no. 1 (2023): 283–300. <a href=\"https://doi.org/10.1016/j.ejor.2023.04.043\">https://doi.org/10.1016/j.ejor.2023.04.043</a>.","ieee":"P. Dieter, M. Caron, and G. Schryen, “Integrating driver behavior into last-mile delivery routing: Combining machine learning and optimization in a hybrid decision support framework,” <i>European Journal of Operational Research (EJOR)</i>, vol. 311, no. 1, pp. 283–300, 2023, doi: <a href=\"https://doi.org/10.1016/j.ejor.2023.04.043\">https://doi.org/10.1016/j.ejor.2023.04.043</a>.","mla":"Dieter, Peter, et al. “Integrating Driver Behavior into Last-Mile Delivery Routing: Combining Machine Learning and Optimization in a Hybrid Decision Support Framework.” <i>European Journal of Operational Research (EJOR)</i>, vol. 311, no. 1, 2023, pp. 283–300, doi:<a href=\"https://doi.org/10.1016/j.ejor.2023.04.043\">https://doi.org/10.1016/j.ejor.2023.04.043</a>.","short":"P. Dieter, M. Caron, G. Schryen, European Journal of Operational Research (EJOR) 311 (2023) 283–300.","bibtex":"@article{Dieter_Caron_Schryen_2023, title={Integrating driver behavior into last-mile delivery routing: Combining machine learning and optimization in a hybrid decision support framework}, volume={311}, DOI={<a href=\"https://doi.org/10.1016/j.ejor.2023.04.043\">https://doi.org/10.1016/j.ejor.2023.04.043</a>}, number={1}, journal={European Journal of Operational Research (EJOR)}, author={Dieter, Peter and Caron, Matthew and Schryen, Guido}, year={2023}, pages={283–300} }","apa":"Dieter, P., Caron, M., &#38; Schryen, G. (2023). Integrating driver behavior into last-mile delivery routing: Combining machine learning and optimization in a hybrid decision support framework. <i>European Journal of Operational Research (EJOR)</i>, <i>311</i>(1), 283–300. <a href=\"https://doi.org/10.1016/j.ejor.2023.04.043\">https://doi.org/10.1016/j.ejor.2023.04.043</a>","ama":"Dieter P, Caron M, Schryen G. Integrating driver behavior into last-mile delivery routing: Combining machine learning and optimization in a hybrid decision support framework. <i>European Journal of Operational Research (EJOR)</i>. 2023;311(1):283-300. doi:<a href=\"https://doi.org/10.1016/j.ejor.2023.04.043\">https://doi.org/10.1016/j.ejor.2023.04.043</a>"}},{"oa":"1","date_updated":"2023-07-13T19:24:01Z","date_created":"2023-06-30T09:40:40Z","author":[{"first_name":"Peter","last_name":"Dieter","full_name":"Dieter, Peter","id":"88592"},{"id":"64135","full_name":"Stumpe, Miriam","last_name":"Stumpe","first_name":"Miriam"},{"first_name":"Marlin Wolf","full_name":"Ulmer, Marlin Wolf","last_name":"Ulmer"},{"full_name":"Schryen, Guido","id":"72850","last_name":"Schryen","first_name":"Guido"}],"volume":121,"title":"Anticipatory Assignment of Passengers to Meeting Points for Taxi-Ridesharing","has_accepted_license":"1","year":"2023","citation":{"apa":"Dieter, P., Stumpe, M., Ulmer, M. W., &#38; Schryen, G. (2023). Anticipatory Assignment of Passengers to Meeting Points for Taxi-Ridesharing. <i>Transportation Research Part D</i>, <i>121</i>, Article 103832.","mla":"Dieter, Peter, et al. “Anticipatory Assignment of Passengers to Meeting Points for Taxi-Ridesharing.” <i>Transportation Research Part D</i>, vol. 121, 103832, 2023.","bibtex":"@article{Dieter_Stumpe_Ulmer_Schryen_2023, title={Anticipatory Assignment of Passengers to Meeting Points for Taxi-Ridesharing}, volume={121}, number={103832}, journal={Transportation Research Part D}, author={Dieter, Peter and Stumpe, Miriam and Ulmer, Marlin Wolf and Schryen, Guido}, year={2023} }","short":"P. Dieter, M. Stumpe, M.W. Ulmer, G. Schryen, Transportation Research Part D 121 (2023).","ama":"Dieter P, Stumpe M, Ulmer MW, Schryen G. Anticipatory Assignment of Passengers to Meeting Points for Taxi-Ridesharing. <i>Transportation Research Part D</i>. 2023;121.","ieee":"P. Dieter, M. Stumpe, M. W. Ulmer, and G. 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A Regret Policy for the Dynamic Vehicle Routing Problem with Time Windows. In: <i>Lecture Notes in Computer Science</i>. Springer Nature Switzerland; 2023. doi:<a href=\"https://doi.org/10.1007/978-3-031-43612-3_14\">10.1007/978-3-031-43612-3_14</a>","ieee":"P. Dieter, “A Regret Policy for the Dynamic Vehicle Routing Problem with Time Windows,” in <i>Lecture Notes in Computer Science</i>, Cham: Springer Nature Switzerland, 2023.","chicago":"Dieter, Peter. “A Regret Policy for the Dynamic Vehicle Routing Problem with Time Windows.” In <i>Lecture Notes in Computer Science</i>. Cham: Springer Nature Switzerland, 2023. <a href=\"https://doi.org/10.1007/978-3-031-43612-3_14\">https://doi.org/10.1007/978-3-031-43612-3_14</a>.","bibtex":"@inbook{Dieter_2023, place={Cham}, title={A Regret Policy for the Dynamic Vehicle Routing Problem with Time Windows}, DOI={<a href=\"https://doi.org/10.1007/978-3-031-43612-3_14\">10.1007/978-3-031-43612-3_14</a>}, booktitle={Lecture Notes in Computer Science}, publisher={Springer Nature Switzerland}, author={Dieter, Peter}, year={2023} }","short":"P. Dieter, in: Lecture Notes in Computer Science, Springer Nature Switzerland, Cham, 2023.","mla":"Dieter, Peter. “A Regret Policy for the Dynamic Vehicle Routing Problem with Time Windows.” <i>Lecture Notes in Computer Science</i>, Springer Nature Switzerland, 2023, doi:<a href=\"https://doi.org/10.1007/978-3-031-43612-3_14\">10.1007/978-3-031-43612-3_14</a>.","apa":"Dieter, P. (2023). A Regret Policy for the Dynamic Vehicle Routing Problem with Time Windows. 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