Carla Nascimento

Ms. Carla Nascimento


Research Focus & Metrics

Academic Career Length

8Years (2019-Present)

(Calculated once Scilit publication data is synced: current year − year of first publication + 1)

Representative Publications

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1 January 2019 in urbe. Revista Brasileira de Gestão Urbana
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Journal Article
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Leise Kelli OliveiraLeise Kelli Oliveira
Leise Kelli Oliveira
RORENATA LUCIA DE OLIVEIRA
RENATA LUCIA DE OLIVEIRA
Luísa Tavares Muzzi de SousaLuísa Tavares Muzzi de Sousa
Luísa Tavares Muzzi de Sousa
ICIan de Paula Caliari
Ian de Paula Caliari
CNCarla Nascimento
Carla 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.

4 December 2019 in Sustainability
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Journal Article
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Leise Kelli OliveiraLeise Kelli Oliveira
Leise Kelli Oliveira
CNCarla Nascimento
Carla Nascimento
PSPaulo Renato de Sousa
Paulo Renato de Sousa
PRPaulo Tarso Vilela de Resende
Paulo Tarso Vilela de Resende
FSFrancisco Gildemir Ferreira da Silva
Francisco Gildemir Ferreira da Silva
The aim of this paper is to analyze the perceptions of the transport service providers on the barriers in urban freight transport and the restrictions imposed on freight vehicles, identifying which urban freight transport policies can improve this activity in Brazil. Principal component analysis allowed us to identify which are barriers in urban cargo transport and the restrictions imposed on freight vehicles. In addition, we evaluated freight policies that can improve the activity using probabilistic preference. We obtained the database from a web-based survey of transport service providers in Brazil. The results indicate that the urban freight vehicle restriction is related to congestion and availability of loading and unloading areas. The freight vehicle restriction is a result of the lack of information and data. The theft of cargo significantly impacts urban freight transport. Transport service provider company perceptions indicate an urban mobility plan as the most-required freight policy to improve freight mobility. To reduce the barriers to urban freight planning, an understanding of the problem involving the stakeholders is needed. To do so, the challenge is to change the culture in the transportation planning process by integrating various actors to create an urban logistics plan that generates opportunities for the city.

8 December 2019 in Sustainability
Verified
Journal Article
Open access
PDF file
Leise Kelli OliveiraLeise Kelli Oliveira
Leise Kelli Oliveira
BBBruno Bertoncini
Bruno Bertoncini
CNCarla Nascimento
Carla Nascimento
LRLara Braide Rocha
Lara Braide Rocha
LBLarissa Almeida Matias de Lima Batista
Larissa Almeida Matias de Lima Batista
LCLeonardo Ventorim Cellin
Leonardo Ventorim Cellin
In this paper, we present the attributes that influence the choice of an urban freight vehicle by using a systematic literature review and a survey conducted with logistics operators that perform urban deliveries in some of the biggest cities in Brazil. The results obtained facilitate the analysis and determination of the main attributes of vehicle selection in some cities of Brazil. Descriptive statistics are used to describe the characteristics of the companies, and a principal component analysis identifies the dependent variables, in order to evaluate the importance of each attribute. Also, an ordered logistic regression model is used to identify if the characteristics of the companies influence the choice of an urban freight vehicle. The results of this analysis indirectly indicate the dependence of the decision-making process on the logistics policies implemented in a given city. These attributes agree with those in the literature review. These results, despite of being evident, are different from the present selection criteria, which depend on local city policies.