Locating collection and delivery points for goods’ last-mile travel: A case study in New Zealand

Kedia, Ashu; Kusumastuti, Diana; Nicholson, Alan

doi:10.1016/j.trpro.2020.03.167

Cited by 19 publications

(26 citation statements)

References 21 publications

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“…When the targets' location points are already known, [6], [13], [31], [37] only an evaluation of the performance of each of the locations was done to find the one that best suited the purpose.…”

Section: Author and Co-author Analysismentioning

confidence: 99%

“…Naumov et al [6] developed a mathematical model representative of the network and its behavior and by applying Monte Carlos simulation, evaluated which of the five pre-defined locations allowed minimizing the transportation work. In Kedia et al [37], the Location-Allocation model, was used to find the locations that minimized the distance that had to be traveled. Bütten et al [13] uses the 2E-VRP model to find an optimal solution that minimizes costs.…”

Section: Author and Co-author Analysismentioning

confidence: 99%

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Data Driven Spatiotemporal Analysis of e-Cargo Bike Network in Lisbon and Its Expansion: The Yoob Case Study

Gil

Albuquerque

Dias

et al. 2023

Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering

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A adoção de frotas mais ecológicas e sustentáveis para a distribuição das encomendas na última milha dentro dos grandes centros urbanos tem vindo a crescer. As bicicletas de carga têm sido a alternativa mais comum. A implementação deste tipo de frotas, demonstrou trazer benefícios, mas evidenciou algumas limitações. A rede de infraestruturas, que serve de suporte á logística urbana, teve de se adaptar para poder responder às necessidades deste novo tipo de frotas. A implementação de microhubs e nano-hubs foram a alternativa.O nosso estudo tem dois objetivos principais. O primeiro objetivo é o de fazer uma caracterização espácio temporal dos comportamentos da frota, através de um estudo de caso onde efetuámos a exploração dos dados da frota de e-cargo bike da YOOB (start-up logística de entregas na última milha que atua na área de Lisboa e na periferia). E o segundo consiste em identificar potenciais locais de expansão para a instalação de novos hubs no mesmo estudo de caso. Nos processos de trabalho foi seguida a metodologia CRISP-DM e os dados recolhidos foram referentes a um período de 4 meses (Janeiro a Abril de 2022).Com recurso a técnicas de ciência dos dados e aprendizagem automática, foram identificados cinco tipos de desempenhos da frota da YOOB, com variações em distâncias percorridas, tempos efetuados, volumes transportados e velocidades praticadas. Numa perspetiva de expansão da rede de e-cargo bike da YOOB, forma identificados três novos locais na cidade de Lisboa para a instalação potencial de novos hubs.

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Section: Author and Co-author Analysismentioning

confidence: 99%

Section: Author and Co-author Analysismentioning

confidence: 99%

Data Driven Spatiotemporal Analysis of e-Cargo Bike Network in Lisbon and Its Expansion: The Yoob Case Study

Gil

Albuquerque

Dias

et al. 2023

Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering

View full text Add to dashboard Cite

show abstract

“…Therefore, it is essential for online retailers to comprehend the unique needs and preferences of working women in diverse geographical areas. This enables them to customise their inventory, marketing tactics, and delivery services, thereby augmenting the overall online shopping experience (Kedia, A., et al (2020). [139]).…”

Section: Inhabited Areamentioning

confidence: 99%

“…This enables them to customise their inventory, marketing tactics, and delivery services, thereby augmenting the overall online shopping experience (Kedia, A., et al (2020). [139]).…”

Section: Inhabited Areamentioning

confidence: 99%

Multifaceted Impact of Social-Media: In the Context of Customers’ Fashion Products Buying Behaviour - A Comprehensive Review

K.,

Aithal,

Panakaje

2023

IJMTS

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Purpose: This study examines how social media affects the fashion business, paying particular attention to how it modifies customer choices, attitudes, and perceptions. It looks at user-generated content, influencers, and other aspects of social media dynamics. The ultimate objective is to influence marketing strategies and business practices in the fashion industry and contribute to a greater grasp of the current customer landscape. The study provides insights into the intricate interactions between social media and consumers' purchasing behaviour in the context of fashion items by synthesizing the body of current literature and empirical data. Design/Methodology/Approach: This study is mainly based on secondary data collected from various published works, including Statista reports on Accessories, Footwear, and E-Commerce in India facts and figures: 2023, Digital 2023 India, Wazier Analysis: 2022, ecommerceDB: 2023, ECDB: Fashion Market in India: 2023, and India Retail and Ecommerce Trends Report 2022. The information was also collected from reputed journal articles from different research websites like Google Scholar, ResearchGate, Web of Science, and Taylor & Francis. Findings: The different reports and published work show that social media is an important tool not only for communication but also for businesses. It also found that social media is an inspirational source as well as a place for making online purchases or shopping destinations, emphasizing the static nature of the customer journey. Originality/Value: This study examines consumer purchasing behaviour online and the body of literature to help manufacturers, business owners, and retailers comprehend how social media affects consumer purchasing behaviour and create winning marketing plans that boost revenue and profits. Paper type: Review of Literature

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“…This study reveals that optimal SPL locations are highly dependent on customer choice. Kedia et al (2020) use an existing infrastructure of supermarkets, gas stations, and other sites as potential SPL locations and determine optimal locations based on customer density. However, they ignore costs and environmental aspects.…”

Section: Stationary Parcel Locker Locationmentioning

confidence: 99%

The impact of optimal parcel locker locations on costs and the environment

Peppel

Spinler

2022

IJPDLM

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PurposeLast-mile delivery is associated with a negative environmental impact and high costs. The purpose of this paper is to develop an approach to designing stationary parcel locker (SPL) networks while minimizing both CO2 equivalent (CO2e) emissions and costs during delivery and pick-up.Design/methodology/approachThis study uses a multinomial logit model to evaluate recipients' willingness to use SPLs based on their availability at home and travel distance. To determine optimal SPL locations, this study formulates a mixed-integer linear programming model.FindingsThe empirical study of different regional clusters reveals that optimal SPL locations can generate cost savings of up to 11.0%. SPLs have a positive impact on total CO2e emission savings in urban areas (i.e. up to 2.5%), but give rise to additional emissions (i.e. 4.6%) in less populated areas due to longer travel distances during the pick-up process.Originality/valueThis paper optimizes SPL locations and the ecological effect of SPLs by minimizing emissions and costs simultaneously. Furthermore, it extends existing discrete choice models by also including recipients' availability at home, increasing the accuracy of recipients' preferences. So far, the effect of SPLs has been studied for metropolitan areas only. A global logistics service provider shared a real dataset which allows us to study seven different regional clusters ranging from rural areas to large cities. Thus, this study contributes to the field of sustainable urban logistics.

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Locating collection and delivery points for goods’ last-mile travel: A case study in New Zealand

Cited by 19 publications

References 21 publications

Data Driven Spatiotemporal Analysis of e-Cargo Bike Network in Lisbon and Its Expansion: The Yoob Case Study

Data Driven Spatiotemporal Analysis of e-Cargo Bike Network in Lisbon and Its Expansion: The Yoob Case Study

Multifaceted Impact of Social-Media: In the Context of Customers’ Fashion Products Buying Behaviour - A Comprehensive Review

The impact of optimal parcel locker locations on costs and the environment

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