Public Transport-Based Crowd-Shipping with Backup Transfers

Published Online:https://doi.org/10.1287/trsc.2022.1157

References

  • Alumur S, Kara BY (2008) Network hub location problems: The state of the art. Eur. J. Oper. Res. 190(1):1–21.CrossrefGoogle Scholar
  • Alumur SA, Kara BY, Karasan OE (2009) The design of single allocation incomplete hub networks. Transportation Res. Part B: Methodological 43(10):936–951.CrossrefGoogle Scholar
  • Alumur SA, Campbell JF, Contreras I, Kara BY, Marianov V, O’Kelly ME (2021) Perspectives on modeling hub location problems. Eur. J. Oper. Res. 291(1):1–17.CrossrefGoogle Scholar
  • Archetti C, Savelsbergh M, Speranza MG (2016) The vehicle routing problem with occasional drivers. Eur. J. Oper. Res. 254(2):472–480.CrossrefGoogle Scholar
  • Arslan AM, Agatz N, Kroon L, Zuidwijk R (2019) Crowdsourced delivery—A dynamic pickup and delivery problem with ad hoc drivers. Transportation Sci. 53(1):222–235.LinkGoogle Scholar
  • Azcuy I, Agatz N, Giesen R (2021) Designing integrated urban delivery systems using public transport. Transportation Res., Part E Logist. Transportation Rev. 156:102525.CrossrefGoogle Scholar
  • Barnhart C, Hane CA, Vance PH (2000) Using branch-and-price-and-cut to solve origin-destination integer multicommodity flow problems. Oper. Res. 48(2):318–326.LinkGoogle Scholar
  • Barnhart C, Johnson EL, Nemhauser GL, Savelsbergh MW, Vance PH (1998) Branch-and-price: Column generation for solving huge integer programs. Oper. Res. 46(3):316–329.LinkGoogle Scholar
  • Bayram V, Yıldız B, Farham MS (2022) Hub Network Design Problem with Capacity, Congestion and Stochastic Demand Considerations (Optimization Online).Google Scholar
  • Brunekreef B, Holgate ST (2002) Air pollution and health. Lancet 360(9341):1233–1242.CrossrefGoogle Scholar
  • Cardenas ID, Dewulf W, Beckers J, Smet C, Vanelslander T (2017) The e-commerce parcel delivery market and the implications of home b2c deliveries vs pick-up points. Internat. J. Transport Econom. 44(2):235–256.Google Scholar
  • Contreras I, Cordeau JF, Laporte G (2011) Stochastic uncapacitated hub location. Eur. J. Oper. Res. 212(3):518–528.CrossrefGoogle Scholar
  • Coulombel N, Dablanc L, Gardrat M, Koning M (2018) The environmental social cost of urban road freight: Evidence from the paris region. Transportation Res. Part D Transportation Environ. 63:514–532.CrossrefGoogle Scholar
  • Crowley TJ, Berner RA (2001) CO2 and climate change. Sci. 292(5518):870–872.CrossrefGoogle Scholar
  • Dahle L, Andersson H, Christiansen M, Speranza MG (2019) The pickup and delivery problem with time windows and occasional drivers. Comput. Oper. Res. 109:122–133.CrossrefGoogle Scholar
  • Dayarian I, Savelsbergh M (2020) Crowdshipping and same-day delivery: Employing in-store customers to deliver online orders. Production Oper. Management 29(9):2153–2174.CrossrefGoogle Scholar
  • Deutsch Y, Golany B (2017) A parcel locker network as a solution to the logistics last mile problem. Internat. J. Production Res. 56(1–2):251–261.CrossrefGoogle Scholar
  • Dietmann K (2020) Crowdshipping the last-mile delivery: An empirical investigation into the crowd’s willingness to participate as crowdshipping drivers. Unpublished doctoral dissertation, Université de Liège, Liège, Belgique.Google Scholar
  • Donne DD, Alfandari L, Archetti C, Ljubić I (2021) Freight-on-transit for urban last-mile deliveries: A strategic planning approach. Working paper, ESSEC Business School, Clergy, France.Google Scholar
  • Errity S (2022) New electric vans arriving in 2022. Accessed June 21, 2022, https://www.drivingelectric.com/news/622/new-electric-vans.Google Scholar
  • European Environment Agency (2021) CO2 performance emissions of new vans in Europe. Accessed January 9, 2022, https://www.eea.europa.eu/ims/co2-performance-emissions-of-new.Google Scholar
  • Farahani RZ, Hekmatfar M, Arabani AB, Nikbakhsh E (2013) Hub location problems: A review of models, classification, solution techniques, and applications. Comput. Industry Engrg. 64(4):1096–1109.CrossrefGoogle Scholar
  • Ghilas V, Demir E, Van Woensel T (2013) Integrating passenger and freight transportation: Model formulation and insights. Proc. Beta Working Papers (Technische Universiteit, Eindhoven, Netherlands), 1–23.Google Scholar
  • Ghilas V, Demir E, Woensel TV (2016) The pickup and delivery problem with time windows and scheduled lines. INFOR Inform. Systems Oper. Res. 54(2):147–167.CrossrefGoogle Scholar
  • Hasiak S (2019) Access Mobility to Local Railway Stations: Current Travel Practices and Forecast (Cybergeo).Google Scholar
  • Istanbul Metropolitan Municipality (2019) İstanbul‘da Toplu Ulaş im. Accessed January 8, 2022, https://www.iett.istanbul/tr/main/pages/istanbulda-toplu-ulasim/95.Google Scholar
  • Iwan S, Kijewska K, Lemke J (2016) Analysis of parcel lockers’ efficiency as the last mile delivery solution: The results of the research in Poland. Transportation Res. Proc. 12:644–655.CrossrefGoogle Scholar
  • Jaller M, Pineda L, Ambrose H (2018) Evaluating the use of zero-emission vehicles in last mile deliveries. ITS Reports, University of California, Institute of Transportation Studies, Berkeley, CA.Google Scholar
  • Lai PL, Jang H, Fang M, Peng K (2022) Determinants of customer satisfaction with parcel locker services in last-mile logistics. Asian J. Shipping Logist. 38(1):25–30.CrossrefGoogle Scholar
  • Lin Y, Wang Y, Lee LH, Chew EP (2022) Profit-maximizing parcel locker location problem under threshold luce model. Transportation Res., Part E Logist. Transportation Rev. 157:102541.CrossrefGoogle Scholar
  • Macrina G, Pugliese LDP, Guerriero F, Laganà D (2017) The vehicle routing problem with occasional drivers and time windows. Sforza A, Sterle C, eds. Optimization and Decision Science: Methodologies and Applications. ODS 2017. Springer Proc. Math. Statist. (Springer, Cham), 217:577–587.Google Scholar
  • Masson R, Trentini A, Lehuédé F, Malhéné N, Péton O, Tlahig H (2017) Optimization of a city logistics transportation system with mixed passengers and goods. EURO J. Transportation Logist. 6(1):81–109.CrossrefGoogle Scholar
  • Mesjasz-Lech A (2016) Urban air pollution challenge for green logistics. Transportation Res. Proc. 16:355–365.CrossrefGoogle Scholar
  • Miller J, Nie Y, Stathopoulos A (2017) Crowdsourced urban package delivery: Modeling traveler willingness to work as crowdshippers. Transportation Res. Rec. 2610(1):67–75.CrossrefGoogle Scholar
  • Millward H, Spinney J, Scott D (2013) Active-transport walking behavior: Destinations, durations, distances. J. Transportation Geography 28:101–110.CrossrefGoogle Scholar
  • Mourad A, Puchinger J, van Woensel T (2019) Combining people and freight flows using a scheduled transportation line with stochastic passenger demands. 20ème Conférence annuelle de la Société Française de Recherche Opérationnelle et d’Aide à la Décision (ROADEF 2019), Le Havre, France.Google Scholar
  • Murray CC, Chu AG (2015) The flying sidekick traveling salesman problem: Optimization of drone-assisted parcel delivery. Transportation Res., Part C Emerging Tech. 54:86–109.CrossrefGoogle Scholar
  • O’Kelly ME, Miller HJ (1994) The hub network design problem. J. Transportation Geography 2(1):31–40.CrossrefGoogle Scholar
  • Pietrzak O, Pietrzak K (2021) Cargo tram in freight handling in urban areas in poland. Sustain Cities Soc. 70:102902.CrossrefGoogle Scholar
  • Punel A, Stathopoulos A (2017) Modeling the acceptability of crowdsourced goods deliveries: Role of context and experience effects. Transportation Res., Part E Logist. Transportation Rev. 105:18–38.CrossrefGoogle Scholar
  • Quak H, Nesterova N, van Rooijen T, Dong Y (2016) Zero emission city logistics: Current practices in freight electromobility and feasibility in the near future. Transportation Res. Pro. 14:1506–1515.CrossrefGoogle Scholar
  • Rai HB, Verlinde S, Macharis C (2021) Unlocking the failed delivery problem? Opportunities and challenges for smart locks from a consumer perspective. Res. Transportation Econom. 87:100753.CrossrefGoogle Scholar
  • Rodrigue JP (2020) The distribution network of Amazon and the footprint of freight digitalization. J. Transportation Geography 88:102825.CrossrefGoogle Scholar
  • Savelsbergh M, Van Woensel T (2016) 50th anniversary invited article-city logistics: Challenges and opportunities. Transportation Sci. 50(2):579–590.LinkGoogle Scholar
  • Schwerdfeger S, Boysen N (2020) Optimizing the changing locations of mobile parcel lockers in last-mile distribution. Eur. J. Oper. Res. 285(3):1077–1094.CrossrefGoogle Scholar
  • Stiglic M, Agatz N, Savelsbergh M, Gradisar M (2018) Enhancing urban mobility: Integrating ride-sharing and public transit. Comput. Oper. Res. 90:12–21.CrossrefGoogle Scholar
  • Tang YM, Chau KY, Xu D, Liu X (2021) Consumer perceptions to support iot based smart parcel locker logistics in china. J. Retailing Consumer Service 62(1):1–11.CrossrefGoogle Scholar
  • Taniguchi E, Thompson RG, Qureshi AG (2020) Modelling city logistics using recent innovative technologies. Transportation Res. Proc. 46:3–12.CrossrefGoogle Scholar
  • Torres F, Gendreau M, Rei W (2022) Vehicle routing with stochastic supply of crowd vehicles and time windows. Transportation Sci. 56(3):631–653.LinkGoogle Scholar
  • Tsai YT, Tiwasing P (2021) Customers’ intention to adopt smart lockers in last-mile delivery service: A multi-theory perspective. J. Retailing Consumer Service 61:102514.CrossrefGoogle Scholar
  • Turkish Statistical Institute (2022). The results of address based population registration system, 2021. Accessed June 21, 2022, https://data.tuik.gov.tr/Bulten/Index?p=The-Results-of-Address-Based-Population-Registration-System-2021-45500&dil=2.Google Scholar
  • Ulmer M, Savelsbergh M (2020) Workforce scheduling in the era of crowdsourced delivery. Transportation Sci. 54(4):1113–1133.LinkGoogle Scholar
  • Vakulenko Y, Hellström D, Hjort K (2018) What’s in the parcel locker? Exploring customer value in e-commerce last mile delivery. J. Bus. Res. 88:421–427.CrossrefGoogle Scholar
  • van Duin JHR, Wiegmans BW, van Arem B, van Amstel Y (2020) From home delivery to parcel lockers: A case study in Amsterdam. Transportation Res. Proc. 46:37–44.CrossrefGoogle Scholar
  • Vanelslander T, Deketele L, Hove DV (2013) Commonly used e-commerce supply chains for fast moving consumer goods: comparison and suggestions for improvement. Internat. J. Logist. Res. Appl. 16(3):243–256.CrossrefGoogle Scholar
  • Wang J, Cao X (2017) Exploring built environment correlates of walking distance of transit egress in the twin cities. J. Transportation Geography 64:132–138.CrossrefGoogle Scholar
  • Yaman H, Kara BY, Tansel BÇ (2007) The latest arrival hub location problem for cargo delivery systems with stopovers. Transportation Res. Part B: Methodological 41(8):906–919.CrossrefGoogle Scholar
  • Yang G, Huang Y, Fu Y, Huang B, Sheng S, Mao L, Huang S, et al. (2020) Parcel locker location based on a bilevel programming model. Math. Problems Engrg. 2020:1–12.Google Scholar
  • Yang TH (2009) Stochastic air freight hub location and flight routes planning. Appl. Math. Modeling 33(12):4424–4430.CrossrefGoogle Scholar
  • Yıldız B (2021a) Express package routing problem with occasional couriers. Transportation Res. C: Emerging Tech. 123:102994.CrossrefGoogle Scholar
  • Yıldız B (2021b) Package routing problem with registered couriers and stochastic demand. Transportation Res. E Logist. Transportation Rev. 147:102248.CrossrefGoogle Scholar
  • Yıldız B, Karaşan OE (2017) Regenerator location problem in flexible optical networks. Oper. Res. 65(3):595–620.LinkGoogle Scholar
  • Yıldız B, Savelsbergh M (2019) Service and capacity planning in crowd-sourced delivery. Transportation Res. C Emerging Tech. 100:177–199.CrossrefGoogle Scholar
  • Yıldız B, Boland N, Savelsbergh M (2022) Decomposition branching for mixed integer programming. Oper. Res. Forthcoming.LinkGoogle Scholar
  • Yıldız B, Karaşan OE, Yaman H (2018) Branch-and-price approaches for the network design problem with relays. Comput. Oper. Res. 92:155–169.CrossrefGoogle Scholar
  • Yıldız B, Yaman H, Karaşan OE (2021) Hub location, routing, and route dimensioning: Strategic and tactical intermodal transportation hub network design. Transportation Sci. 55(6):1351–1369.LinkGoogle Scholar
  • Zuo T, Wei H, Rohne A (2018) Determining transit service coverage by non-motorized accessibility to transit: Case study of applying gps data in cincinnati metropolitan area. J. Transportation Geography 67:1–11.CrossrefGoogle Scholar
  • Zurel O, Van Hoyweghen L, Braes S, Seghers A (2018) Parcel lockers, an answer to the pressure on the last mile delivery? New Business and Regulatory Strategies in the Postal Sector (Springer International Publishing, Berlin), 299–312.CrossrefGoogle Scholar
INFORMS site uses cookies to store information on your computer. Some are essential to make our site work; Others help us improve the user experience. By using this site, you consent to the placement of these cookies. Please read our Privacy Statement to learn more.