This page has only limited features, please log in for full access.

Unclaimed
Paraskevas Nikolaou
Department of Civil and Environmental Engineering, University of Cyprus, 75 Kallipoleos str., P.O. Box 20537, 1678, Nicosia, Cyprus

Honors and Awards

The user has no records in this section


Career Timeline

The user has no records in this section.


Short Biography

The user biography is not available.
Following
Followers
Co Authors
The list of users this user is following is empty.
Following: 0 users

Feed

Journal article
Published: 02 July 2021 in Maritime Transport Research
Reads 0
Downloads 0

The growing competition among container port terminals enhances the pressure for optimizing their efficiency level in the performance of containers’ service. Comparing container terminals based on their performance is a complicated task due to the variety of ports’ type, scale, and service configuration. This however is an important task in the efforts of improving not only national trade transportation but also the global trade system, since valuable best practices can be identified and adopted among container terminals. Notwithstanding, available information about container port terminals’ efficiency level, based on their performance measured by the service of Twenty-foot Equivalent Units (TEUs), is yet incomplete due to the lack of information about which factors influence their efficiency the most. This additional information will support the decision-making processes of container terminals’ authorities to direct their focus on specific factors that will improve their efficiency. This paper investigates the efficiency of the top-50 global container port terminals that service the global freight supply chain in a period of 5 years (2013-2017) through a two-step procedure. First, a benchmarking analysis, namely, Data Envelopment Analysis, is implemented to estimate the efficiency level of the container port terminals. The second step involves the methodology followed in this paper which is further expanded to quantify the effects that different factors have on container terminals efficiency through the implementation of suitable Tobit regression models. The findings of this paper identify the benchmark container terminals that should be taken as examples for under-performing container port terminals and also points out the factors that must be enhanced for improving global trade system, like, number of cranes, terminal space and quay lenght.

ACS Style

Paraskevas Nikolaou; Loukas Dimitriou. Lessons to be Learned from Top-50 Global Container Port Terminals Efficiencies: A Multi-Period DEA-Tobit Approach. Maritime Transport Research 2021, 2, 100032 .

AMA Style

Paraskevas Nikolaou, Loukas Dimitriou. Lessons to be Learned from Top-50 Global Container Port Terminals Efficiencies: A Multi-Period DEA-Tobit Approach. Maritime Transport Research. 2021; 2 ():100032.

Chicago/Turabian Style

Paraskevas Nikolaou; Loukas Dimitriou. 2021. "Lessons to be Learned from Top-50 Global Container Port Terminals Efficiencies: A Multi-Period DEA-Tobit Approach." Maritime Transport Research 2, no. : 100032.

Journal article
Published: 21 April 2021 in Journal of Transport Geography
Reads 0
Downloads 0

Cities around the world are moving away from the car-centric infrastructure, urban design and planning policies prevalent since the 1950s and promoting sustainable mobility as an alternative, including cycling. As such, Bicycle Sharing Systems (BSS) have emerged as a transport innovation across the globe. Cycling modal share however remains low in most Southern European island cities. These cities exhibit certain characteristics considered as barriers to cycling, such as hot summers and high humidity, hilliness, and car-oriented culture and infrastructure. Despite this, BSS and policies promoting cycling have emerged in this region as well. These have the potential to provide alternatives for those marginalized by car-based mobility and to reduce traffic related diseases and injuries, noise and air pollution, which can contribute to an improved quality of life for all citizens. Using the Mediterranean island city of Limassol (Cyprus) as a case study, the utilization of bicycle sharing is investigated by constructing regression models to assess the influence of spatial and temporal factors on the demand for BSS use at stations. From the regression models it appears that land use factors such as residential, commercial and park land use, as well as the presence of the beach and cycling paths positively influences frequency of use, as does higher network connectivity. While higher tourist arrivals have a positive effect, the presence of hotels in a 300 m buffer around the stations does not. Higher rainfall, as well as higher temperatures, are associated with a decrease in BSS use. Explicitly incorporating spatial dependence, in Spatial Auto-Regressive (SAR) models, led to the formulation of models with comparable or better explanatory power, when compared to the Ordinary Least Squares (OLS) models. The insights from the regression models can be used to inform policies promoting cycling and the design and planning of BSS (expansion) in Limassol and other cities.

ACS Style

Suzanne Maas; Paraskevas Nikolaou; Maria Attard; Loukas Dimitriou. Spatial and temporal analysis of shared bicycle use in Limassol, Cyprus. Journal of Transport Geography 2021, 93, 103049 .

AMA Style

Suzanne Maas, Paraskevas Nikolaou, Maria Attard, Loukas Dimitriou. Spatial and temporal analysis of shared bicycle use in Limassol, Cyprus. Journal of Transport Geography. 2021; 93 ():103049.

Chicago/Turabian Style

Suzanne Maas; Paraskevas Nikolaou; Maria Attard; Loukas Dimitriou. 2021. "Spatial and temporal analysis of shared bicycle use in Limassol, Cyprus." Journal of Transport Geography 93, no. : 103049.

Journal article
Published: 16 March 2021 in Sustainability
Reads 0
Downloads 0

Bicycle sharing systems (BSSs) have been implemented in cities worldwide in an attempt to promote cycling. Despite exhibiting characteristics considered to be barriers to cycling, such as hot summers, hilliness and car-oriented infrastructure, Southern European island cities and tourist destinations Limassol (Cyprus), Las Palmas de Gran Canaria (Canary Islands, Spain) and the Valletta conurbation (Malta) are all experiencing the implementation of BSSs and policies to promote cycling. In this study, a year of trip data and secondary datasets are used to analyze dock-based BSS usage in the three case-study cities. How land use, socio-economic, network and temporal factors influence BSS use at station locations, both as an origin and as a destination, was examined using bivariate correlation analysis and through the development of linear mixed models for each case study. Bivariate correlations showed significant positive associations with the number of cafes and restaurants, vicinity to the beach or promenade and the percentage of foreign population at the BSS station locations in all cities. A positive relation with cycling infrastructure was evident in Limassol and Las Palmas de Gran Canaria, but not in Malta, as no cycling infrastructure is present in the island’s conurbation, where the BSS is primarily operational. Elevation had a negative association with BSS use in all three cities. In Limassol and Malta, where seasonality in weather patterns is strongest, a negative effect of rainfall and a positive effect of higher temperature were observed. Although there was a positive association between BSS use and the number of visiting tourists in Limassol and Malta, this is predominantly explained through the multi-collinearity with weather factors rather than by intensive use of the BSS by tourists. The linear mixed models showed more fine-grained results and explained differences in BSS use at stations, including differences for station use as an origin and as a destination. The insights from the correlation analysis and linear mixed models can be used to inform policies promoting cycling and BSS use and support sustainable mobility policies in the case-study cities and cities with similar characteristics.

ACS Style

Suzanne Maas; Paraskevas Nikolaou; Maria Attard; Loukas Dimitriou. Heat, Hills and the High Season: A Model-Based Comparative Analysis of Spatio-Temporal Factors Affecting Shared Bicycle Use in Three Southern European Islands. Sustainability 2021, 13, 3274 .

AMA Style

Suzanne Maas, Paraskevas Nikolaou, Maria Attard, Loukas Dimitriou. Heat, Hills and the High Season: A Model-Based Comparative Analysis of Spatio-Temporal Factors Affecting Shared Bicycle Use in Three Southern European Islands. Sustainability. 2021; 13 (6):3274.

Chicago/Turabian Style

Suzanne Maas; Paraskevas Nikolaou; Maria Attard; Loukas Dimitriou. 2021. "Heat, Hills and the High Season: A Model-Based Comparative Analysis of Spatio-Temporal Factors Affecting Shared Bicycle Use in Three Southern European Islands." Sustainability 13, no. 6: 3274.

Journal article
Published: 29 October 2020 in Research in Transportation Economics
Reads 0
Downloads 0

Bicycle sharing systems (BSS) have been implemented in cities worldwide in an attempt to promote cycling. Analysing BSS usage in ‘starter’ cycling cities in Southern Europe (Limassol, Las Palmas de Gran Canaria and Malta) can aid in understanding how BSS use and cycling can be promoted in such a context. A year of trip data is used to understand to what extent the BSS is characterized by tourist use or by local residents, trips are classified based on trip type, trip duration and diurnal and seasonal usage patterns. An analysis of the origin-destination matrices highlights spatial patterns and temporal dynamics, and analysis of the spatial coverage is used to calculate what percentage of the city's population is served by the BSS. The comparative analysis shows that despite sharing commonalities, the cities exhibit differences in BSS use: while in Limassol BSS use is mainly for leisure, in Las Palmas de Gran Canaria and Malta there is more cycling for transport. Investing in connections between the BSS, public transport, points-of-interests and cycling infrastructure can encourage more cycling. In all cities there is scope to integrate the BSS with public transport and promote the service amongst tourists and visitors.

ACS Style

Suzanne Maas; Paraskevas Nikolaou; Maria Attard; Loukas Dimitriou. Examining spatio-temporal trip patterns of bicycle sharing systems in Southern European island cities. Research in Transportation Economics 2020, 86, 100992 .

AMA Style

Suzanne Maas, Paraskevas Nikolaou, Maria Attard, Loukas Dimitriou. Examining spatio-temporal trip patterns of bicycle sharing systems in Southern European island cities. Research in Transportation Economics. 2020; 86 ():100992.

Chicago/Turabian Style

Suzanne Maas; Paraskevas Nikolaou; Maria Attard; Loukas Dimitriou. 2020. "Examining spatio-temporal trip patterns of bicycle sharing systems in Southern European island cities." Research in Transportation Economics 86, no. : 100992.

Journal article
Published: 22 May 2020 in Sustainability
Reads 0
Downloads 0

Mobility is one of the most important and challenging aspects that influence climate change, air quality, and especially the quality of citizens’ lives. Therefore, creating sustainable transport solutions makes way for different modes of transport such as the bicycle, which is continuously gaining more supporters, due to the health, economic, and environmental benefits that it provides. However, cyclists are facing several barriers (e.g., lack of infrastructure), a fact that keeps away commuters from using a bicycle for their daily trips. Investigating the factors that reflect on the commuters’ intention to use a bicycle is a sine qua non for the promotion of sustainable mobility. Therefore, the objective of this paper is the investigation of the factors that prevent residents with low experience or with no cultural/lifestyle background in regards to cycling from cycling. The case study of the city of Larnaca (Cyprus) is deployed by exploring the socio-demographic and trip characteristics of the city’s residents and their relation with the intention to cycle. A two-step approach is developed, namely Explanatory Factor Analysis (EFA) and Structural Equation Modeling (SEM). Despite the promotion of cycling that education is attempting to do (successfully), other factors (such as age, distance, and time) appear to prevent Larnaca’s residents from cycling. Among the actions that local authorities should undertake is that of safety prevention of the vulnerable users of the road network. This group includes elderly people, who need major encouraging interventions by local policymakers and stakeholders.

ACS Style

Paraskevas Nikolaou; Socrates Basbas; Ioannis Politis; Georgios Borg. Trip and Personal Characteristics towards the Intention to Cycle in Larnaca, Cyprus: An EFA-SEM Approach. Sustainability 2020, 12, 4250 .

AMA Style

Paraskevas Nikolaou, Socrates Basbas, Ioannis Politis, Georgios Borg. Trip and Personal Characteristics towards the Intention to Cycle in Larnaca, Cyprus: An EFA-SEM Approach. Sustainability. 2020; 12 (10):4250.

Chicago/Turabian Style

Paraskevas Nikolaou; Socrates Basbas; Ioannis Politis; Georgios Borg. 2020. "Trip and Personal Characteristics towards the Intention to Cycle in Larnaca, Cyprus: An EFA-SEM Approach." Sustainability 12, no. 10: 4250.

Journal article
Published: 10 April 2020 in Journal of Air Transport Management
Reads 0
Downloads 0

As the global population increases and transportation connectivity improves in quality and prices, the demand for mobility increases, especially in long-haul services. According to the 2017 report of the European Commission in Mobility and Transport, the performance of all modes for passenger transport (roadways and airways) are reaching record highs. Although the benefits of the increased demand for mobility are substantial and welcome, an effort should be paid such as to ameliorate possible threatening side-effects that may also arise. As World Health Organization (WHO) denotes and as has been evident from the global COVID-19 epidemic outbreak, infectious diseases can be spread directly or indirectly from one person to another under common exposure circumstances such as air transportation (especially long-haul airline connections) that may act as the medium for transmitting and spreading infectious diseases. In this paper, analytical and realistic models have been integrated, for providing evidence on the spread dynamics of infectious diseases that may face Europe through the airlines system. In particular, a detailed epidemiological model has been integrated with the airlines’ and land transport network, able to simulate the epidemic spread of infectious diseases originated from distant locations. Additionally, a wide set of experiments and simulations have been conducted, providing results from detailed stress-tests covering both mild as well as aggressive cases of epidemic spreading scenarios. The results provide convincing evidence on the effectiveness that the European airports' system offer in controlling the emergence of epidemics, but also on the time and extent that controlling measures should be taken in order to break the chain of infections in realistic cases.

ACS Style

Paraskevas Nikolaou; Loukas Dimitriou. Identification of critical airports for controlling global infectious disease outbreaks: Stress-tests focusing in Europe. Journal of Air Transport Management 2020, 85, 101819 -101819.

AMA Style

Paraskevas Nikolaou, Loukas Dimitriou. Identification of critical airports for controlling global infectious disease outbreaks: Stress-tests focusing in Europe. Journal of Air Transport Management. 2020; 85 ():101819-101819.

Chicago/Turabian Style

Paraskevas Nikolaou; Loukas Dimitriou. 2020. "Identification of critical airports for controlling global infectious disease outbreaks: Stress-tests focusing in Europe." Journal of Air Transport Management 85, no. : 101819-101819.

Journal article
Published: 01 September 2019 in Accident Analysis & Prevention
Reads 0
Downloads 0

Given the importance of rigorous quantitative reasoning in supporting national, regional or global road safety policies, data quality, reliability, and stability are of the upmost importance. This study focuses on macroscopic properties of road safety statistics and the temporal stability of these statistics at a global level. A thorough investigation of two years of measurements was conducted to identify any unexpected gaps that could highlight the existence of inconsistent measurements. The database used in this research includes 121 member countries of the United Nation (UN-121) with a population of at least one million (smaller country data shows higher instability) and includes road safety and socioeconomic variables collected from a number of international databases (e.g. WHO and World Bank) for the years 2010 and 2013. For the fulfillment of the earlier stated goal, a number of data visualization and exploratory analyses (Hierarchical Clustering and Principal Component Analysis) were conducted. Furthermore, in order to provide a richer analysis of the data, we developed and compared the specification of a number of Structural Equation Models for the years 2010 and 2013. Different scenarios have been developed, with different endogenous variables (indicators of mortality rate and fatality risk) and structural forms. The findings of the current research indicate inconsistency phenomena in global statistics of different instances/years. Finally, the results of this research provide evidence on the importance of careful and systematic data collection for developing advanced statistical and econometric techniques and furthermore for developing road safety policies.

ACS Style

Loukas Dimitriou; Paraskevas Nikolaou; Constantinos Antoniou. Exploring the temporal stability of global road safety statistics. Accident Analysis & Prevention 2019, 130, 38 -53.

AMA Style

Loukas Dimitriou, Paraskevas Nikolaou, Constantinos Antoniou. Exploring the temporal stability of global road safety statistics. Accident Analysis & Prevention. 2019; 130 ():38-53.

Chicago/Turabian Style

Loukas Dimitriou; Paraskevas Nikolaou; Constantinos Antoniou. 2019. "Exploring the temporal stability of global road safety statistics." Accident Analysis & Prevention 130, no. : 38-53.

Journal article
Published: 01 October 2018 in Transportation Research Part A: Policy and Practice
Reads 0
Downloads 0

The economic developments experienced within the countries of European Union (EU) in the recent years have reported impacts on road safety levels, especially in serious injuries and traffic fatalities. In order to support the road safety strategies of the EU countries, it is essential to investigate the association of road safety levels with economic, social and demographic factors and finally comparatively evaluate the performance of each country. This paper aims at analyzing the road safety performance of EU-23 countries over a decade (2005–2014) considering their socio-economic and demographic background. For doing so, two distinctive models were applied, in particular, Data Envelopment Analysis (DEA) and DEA-Cross Efficiency Model (DEA-CEM), both suitably adapted to the road safety particularities. Moreover, the concept of road safety evaluation is performed by using comparable road safety indicators, namely, mortality rate and fatality risk. The results of this study contribute to the decision/policy making agenda from the perspective of evaluating road safety performance levels by using short-term and long-term road safety targets. Additionally, an unbiased ‘picture’ of the countries’ road safety performance over a period of 10 years is provided, accompanied with information on the intra-period countries’ efficiency of their road safety targets. The proposed intra-period analysis has useful practical and methodological implications since it is able to expose the evolution of road safety levels among the countries, besides a static overall picture. Finally, this study offers valuable insights on the cross-evaluation of road safety levels among the EU countries by considering a target-setting approach for each of them before and during a turbulent financial period for Europe.

ACS Style

Paraskevas Nikolaou; Loukas Dimitriou. Evaluation of road safety policies performance across Europe: Results from benchmark analysis for a decade. Transportation Research Part A: Policy and Practice 2018, 116, 232 -246.

AMA Style

Paraskevas Nikolaou, Loukas Dimitriou. Evaluation of road safety policies performance across Europe: Results from benchmark analysis for a decade. Transportation Research Part A: Policy and Practice. 2018; 116 ():232-246.

Chicago/Turabian Style

Paraskevas Nikolaou; Loukas Dimitriou. 2018. "Evaluation of road safety policies performance across Europe: Results from benchmark analysis for a decade." Transportation Research Part A: Policy and Practice 116, no. : 232-246.

Journal article
Published: 01 January 2018 in International Journal of Decision Support Systems
Reads 0
Downloads 0
ACS Style

Loukas Dimitriou; Paraskevas Nikolaou. Data envelopment analysis for investigating optimal road safety policies utilising global epidemiological, risk exposure and socio-economic statistics. International Journal of Decision Support Systems 2018, 2, 278 .

AMA Style

Loukas Dimitriou, Paraskevas Nikolaou. Data envelopment analysis for investigating optimal road safety policies utilising global epidemiological, risk exposure and socio-economic statistics. International Journal of Decision Support Systems. 2018; 2 (4):278.

Chicago/Turabian Style

Loukas Dimitriou; Paraskevas Nikolaou. 2018. "Data envelopment analysis for investigating optimal road safety policies utilising global epidemiological, risk exposure and socio-economic statistics." International Journal of Decision Support Systems 2, no. 4: 278.

Journal article
Published: 01 January 2017 in International Journal of Decision Support Systems
Reads 0
Downloads 0

The raising number of motorisation and the associated number of road traffic fatalities is reasonably considered as an epidemic phenomenon and one of the most important issues in public policy. In order to understand the phenomenon of road traffic fatalities and to propose road safety measures and policies, it could be helpful the investigation of the phenomenon on a global scale. The current paper focuses on the analysis of the road traffic fatalities, taking into consideration global epidemiological data for a benchmark dataset of the year 2010. The objective is to evaluate-benchmark the countries on their road safety performance, utilising their socio-economic and demographic context. Finally, road safety measures and strategies of the best-performing countries are suggested to the under-performing countries in favour of their road safety enhancement. The analytical framework here is based on data envelopment analysis (DEA), which is considered a straightforward benchmarking technique.

ACS Style

Loukas Dimitriou; Paraskevas Nikolaou. Data envelopment analysis for investigating optimal road safety policies utilising global epidemiological, risk exposure and socio-economic statistics. International Journal of Decision Support Systems 2017, 2, 278 .

AMA Style

Loukas Dimitriou, Paraskevas Nikolaou. Data envelopment analysis for investigating optimal road safety policies utilising global epidemiological, risk exposure and socio-economic statistics. International Journal of Decision Support Systems. 2017; 2 (4):278.

Chicago/Turabian Style

Loukas Dimitriou; Paraskevas Nikolaou. 2017. "Data envelopment analysis for investigating optimal road safety policies utilising global epidemiological, risk exposure and socio-economic statistics." International Journal of Decision Support Systems 2, no. 4: 278.

Journal article
Published: 01 January 2017 in Transportation Research Procedia
Reads 0
Downloads 0
ACS Style

Loukas Dimitriou; Paraskevas Nikolaou; Constantinos Antoniou. Policy-Driven Investigation of Sectoral Latent Information Regarding Global Road Fatalities. Transportation Research Procedia 2017, 22, 685 -694.

AMA Style

Loukas Dimitriou, Paraskevas Nikolaou, Constantinos Antoniou. Policy-Driven Investigation of Sectoral Latent Information Regarding Global Road Fatalities. Transportation Research Procedia. 2017; 22 ():685-694.

Chicago/Turabian Style

Loukas Dimitriou; Paraskevas Nikolaou; Constantinos Antoniou. 2017. "Policy-Driven Investigation of Sectoral Latent Information Regarding Global Road Fatalities." Transportation Research Procedia 22, no. : 685-694.