Assessing the impacts of collection-delivery points to individual's activity-travel patterns: A greener last mile alternative?
2019 (English)In: Transportation Research Part E: Logistics and Transportation Review, ISSN 1366-5545, E-ISSN 1878-5794, Vol. 121, p. 84-99Article in journal (Refereed) Published
Abstract [en]
The transport impacts of collection-delivery points (CDPs), as an alternative to home delivery, are rarely studied. As e-shopping becomes increasingly popular, trips to collect deliveries at CDP, especially by car travel, may generate a considerable amount of external effects, such as emissions. Therefore, this paper analysed the "picking up/leaving goods" trips selected from the Swedish National Travel Survey and jointly modelled the individuals' mode choice and trip chaining decisions using a panel cross-nested logit model. The roles of trip chain characteristics, individual socio-demographics and land use characteristics on each trip chain and mode choice combination are investigated. The results indicate observed and unobserved heterogeneities of trip chaining and mode choice decisions among populations. Young adults living with partners/spouses, single adults with children and partnered adults with children have the preference of using cars in collection-delivery trips compared to other life-cycle groups. A sensitivity analysis is carried out to estimate the effect of distance to CDPs on vehicle kilometres travelled. The calibrated model is used to estimate the VKT of collection-delivery trips in the greater Stockholm area. The results indicate a 22.5% reduction of VKT from collection-delivery trips by relocating 5% CDPs from urban areas to suburban and rural areas.
Place, publisher, year, edition, pages
Elsevier, 2019. Vol. 121, p. 84-99
Keywords [en]
E commerce, Household, Journey, Delivery, Transport mode, Choice, Demography, Social factor, Land use, Mathematical model
National Category
Transport Systems and Logistics
Research subject
10 Road: Transport, society, policy and planning, 11 Road: Personal transport
Identifiers
URN: urn:nbn:se:vti:diva-12070DOI: 10.1016/j.tre.2017.08.007ISI: 000457948700006Scopus ID: 2-s2.0-85028303763OAI: oai:DiVA.org:vti-12070DiVA, id: diva2:1163500
Conference
14th World Conference on Transport Research, Shanghai, China, 10–15 July, 2016.
Funder
Swedish Transport Administration, TRV 2014/84252017-12-072017-12-072024-07-23Bibliographically approved