Analysis of accessibility from collection and delivery points: towards the sustainability of the e-commerce delivery

Leise Kelli de Oliveira, Renata Lúcia Magalhães de Oliveira, Luisa Tavares Muzzi de Sousa, Ian de Paula Caliari, Carla de Oliveira Leite Nascimento


The collection and delivery points (CDP) are an alternative to home deliveries and an important opportunity to reduce failed deliveries within urban areas. In this study, we propose to analyze the accessibility from CDPs located in commercial establishments (drugstores, gas stations, post offices, supermarkets, and malls) considered most attractive by e-consumers to receive this delivery solution. The methodological approach uses spatial analysis to identify the coverage area of the CDPs considering socioeconomic data and e-consumer preferences. Also, spatial tools to analyze the accessibility of CDPs were used, considering the transport infrastructure, the population location, and job opportunities location through different transport modes. The results indicated differences in levels of accessibility between the CDPs, highlighting the important associations among economic activities, land use patterns, and transport to plan for sustainable cities. The use of cluster analysis methods as a methodological approach is one contribution and can be replicated to support decision-making in other cities.


urban freight transport; collection and delivery points; accessibility; e-commerce delivery; last mile delivery

Texto completo:



Agência de Desenvolvimento da Região Metropolitana de Belo Horizonte. (2012). Origin and destination survey 2012. Belo Horizonte: Agência de Desenvolvimento da Região Metropolitana de Belo Horizonte. Retrieved in 2019, 4 March, from

Allen, J., Piecyk, M., Piotrowska, M., McLeod, F., Cherrett, T., Ghali, K., Nguyen, T., Bektas, T., Bates, O., Friday, A., Wise, S., & Austwick, M. (2018). Understanding the impact of e-commerce on last-mile light goods vehicle activity in urban areas: the case of London. Transportation Research Part D, Transport and Environment, 61, 325-338.

Beckers, J., Cárdenas, I., & Verhetsel, A. (2018). Identifying the geography of online shopping adoption in Belgium. Journal of Retailing and Consumer Services, 45, 33-41.

Belo Horizonte. (2016). Municipal register of taxpayers of Belo Horizonte [Database]. Belo Horizonte.

Belo Horizonte. Prefeitura Municipal. (2017). Política de logística urbana de Belo Horizonte. Belo Horizonte: Prefeitura Municipal. Retrieved in 2019, 4 March, from

Borsenberger, C., Cremer, J., De Donder, P., Joram, D., & Lécou, S. (2014). Pricing of delivery services in the e-commerce sector. In M. A. Crew & T. J. Brennan (Eds.), The role of the postal and delivery sector in a digital age (pp. 75-92). Cheltenham: Edwards Elgar Publishing Limited.

Comi, A., & Nuzzolo, A. (2016). Exploring the relationships between e-shopping attitudes and urban freight transport. Transportation Research Procedia, 12, 399-412.

Departamento Nacional de Trânsito – Denatran. (2018). Fleet: statistical reports. Retrieved in 2019, 4 March, from

Deutsch, Y., & Golany, B. (2017). A parcel locker network as a solution to the logistics last mile problem. International Journal of Production Research, 56(1-2), 251-261.

Ducret, R. (2014). Parcel deliveries and urban logistics: changes and challenges in the courier express and parcel sector in Europe – The French case. Research in Transportation Business & Management, 11, 15-22.

Durand, B., & Gonzalez-Feliu, J. (2012). Urban logistics and e-grocery: have proximity delivery services a positive impact on shopping trips? Procedia: Social and Behavioral Sciences, 39, 510-520.

E-bit. (2017). Webshoppers 36th edition 2017. Retrieved in 2019, 4 March, from

Edwards, J., McKinnon, A., Cherrett, T., McLeod, F., & Song, L. (2010). Carbon dioxide benefits of using collection-delivery points for failed home deliveries in the United Kingdom. Transportation Research Record: Journal of the Transportation Research Board, 2191(1), 136-143.

Ehmke, J. F., & Campbell, A. M. (2014). Customer acceptance mechanisms for home deliveries in metropolitan areas. European Journal of Operational Research, 233(1), 193-207.

Esri. (2012). ArcGis 10.1 Help. Service Area and the Network Analyst. USA: Esri.

Garber, N. J., & Hoel, L. A. (2014). Traffic and highway engineering. Toronto: CL Engineering.

González-Felíu, J., Ambrosini, C., & Routhier, J. L. (2012). New trends on urban goods movement: modelling and simulation of e-commerce distribution. European Transport/Transporti Europei, 50, 1-23.

Guajardar, M., Zenezini, G., & Montanaro, T. (2016). Home delivery services: innovations and emerging needs. IFAC-Papers online, 49(12), 1371-1376.

Instituto Brasileiro de Geografia e Estatistica – IBGE. (2010). Census. Rio de Janeiro: IBGE. Retrieved in 2019, 4 March, from

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 Research Procedia, 12, 644-655.

Junjie, X., & Min, W. (2013). Convenient pickup point in e-commerce logistics : a theoretical framework for motivations and strategies. Computer Modelling & New Technologies, 17(5C), 209-213.

Kedia, A., Kusumastuti, D., & Nicholson, A. (2017). Acceptability of collection and delivery points from consumers’ perspective: A qualitative case study of Christchurch city. Case Studies on Transport Policy, 5(4), 587-595.

KPMG International Cooperative. (2017). The truth about online consumers: 2017 global online consumer report. Amstelveen: KPMG. Retrieved in 2019, 4 March, from

Lachapelle, U., Burke, M., Brotherton, A., & Leung, A. (2018). Parcel locker systems in a car dominant city: Location, characterisation and potential impacts on city planning and consumer travel access. Journal of Transport Geography, 71, 1-14.

Langley, P., & Iba, W. (1993). Avera-case analysis of a nearest neighbor algorithm. In Proceedings of the Thisrteenth International Joint Conference on Artificial Inteligence (pp. 889-894). Chambery: IJCAI.

Lemke, J., Iwan, S., & Korczak, J. (2016). Usability of the parcel lockers from the customer perspective – the research in Polish Cities. Transportation Research Procedia, 16, 272-287.

Liu, C., Wang, Q., & Susilo, Y. O. (2019). Assessing the impacts of collection-delivery points to individual’s activity-travel patterns: A greener last mile alternative? Transportation Research Part E, Logistics and Transportation Review, 121, 84-99.

Lockie, W. (2014). Delivering an effective click-and-collect strategy: a retailer case study. Journal of Digital & Social Media Marketing, 2(2), 139-152.

McLeod, F., Cherrett, T., & Song, L. (2006). Transport impacts of local collection/delivery points. International Journal of Logistics Research and Applications, 9(3), 307-317.

Morganti, E., Dablanc, L., & Fortin, F. (2014a). Final deliveries for online shopping: the deployment of pickup point networks in urban and suburban areas. Research in Transportation Business & Management, 11, 23-31.

Morganti, E., Seidel, S., Blanquart, C., Dablanc, L., & Lenz, B. (2014b). The impact of e-commerce on final deliveries: alternative parcel delivery services in France and Germany. Transportation Research Procedia, 4, 178-190.

Moroz, M., & Polkowski, Z. (2016). The last mile issue and urban logistics: choosing parcel machines in the context of the ecological attitudes of the y generation consumers purchasing online. Transportation Research Procedia, 16, 378-393.

Newman, P., & Kenwothy, J. (1999). Sustainability and cities: overcoming automobile dependence. Washington: Island Press.

Nuzzolo, A., & Comi, A. (2014). A system of models to forecast the effects of demographic changes on urban shop restocking. Research in Transportation Business & Management, 11, 142-151.

Oliveira, L. K., Morganti, E., Dablanc, L., & Oliveira, R. L. M. (2017). Analysis of the potential demand of automated delivery stations for e-commerce deliveries in Belo Horizonte, Brazil. Research in Transportation Economics, 65, 34-43.

Oliveira, L. K., Nunes, N. T. R., & Novaes, A. G. N. (2010). Assessing model for adoption of new logistical services: an application for small orders of goods distribution in Brazil. Procedia: Social and Behavioral Sciences, 2(3), 6286-6296.

Song, L., Cherrett, T., McLeod, F., & Guan, W. (2009). Addressing the last mile problem: transport impacts of collection and delivery points. Transportation Research Record: Journal of the Transportation Research Board, 2097(1), 9-18.

Song, L., Guan, W., Cherrett, T., & Li, B. (2013). Quantifying the greenhouse gas emissions of local collection-and-delivery points for last-mile deliveries. Transportation Research Record: Journal of the Transportation Research Board, 2340(1), 66-73.

Vakulenko, Y., Hellström, D., & Hjort, K. (2018). What’s in the parcel locker? Exploring customer value in e-commerce last mile delivery. Journal of Business Research, 88, 421-427.

van Duin, J. H. R., de Goffau, W., Wiegmans, B., Tavasszy, L. A., & Saes, M. (2016). Improving home delivery efficiency by using principles of address intelligence for B2C deliveries. Transportation Research Procedia, 12, 14-25.

Visser, J., Nemoto, T., & Browne, M. (2014). Home delivery and the impacts on urban freight transport: a review. Procedia: Social and Behavioral Sciences, 125, 15-27.

Wang, X., Yuen, K. F., Wong, Y. D., & Teo, C. C. (2018). An innovation diffusion perspective of e-consumers’ initial adoption of self-collection service via automated parcel station. International Journal of Logistics Management, 29(1), 237-260.

Xiao, S., Wang, J. J., & Liu, Q. (2018). The impacts of final delivery solutions on e-shopping usage behaviour: the case of Shenzhen, China. International Journal of Retail & Distribution Management, 46(1), 2-20.

Xu, J., Hong, L., Li, Y. (2011). Designing of collection and delivery point for E-commerce logistics. In International Conference of Information Technology, Computer Engineering and Management Sciences (pp. 349-352). USA: IEEE.

Yuen, K. F., Wang, X., Ng, L. T. W., & Wong, Y. D. (2018). An investigation of customers’ intention to use self-collection services for last-mile delivery. Transport Policy, 66, 1-8.


  • Não há apontamentos.