An Analysis of the Integration of DRT Services with Local Public Transport in Post-pandemic Period: Some of the Preliminary Insights in the Italian Context

Campisi, Tiziana; Canale, Antonino; Tesoriere, Giovanni; Ali, Nazam; Ignaccolo, Matteo; Cocuzza, Elena

doi:10.1007/978-3-031-10542-5_34

Cited by 7 publications

(6 citation statements)

References 21 publications

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“…All these attributes are higher in the DRT transport and thus despite the fact, that the DRT is linked with higher ticket prices, the other positive attributes can overcome the higher fares. Application of the DRT can improve the transport serviceability of an area, as well [15].…”

Section: Forms Of Drtmentioning

confidence: 99%

Comparison of Operational Costs for Fixed-Route Bus Service and Demand Responsive Transport Systems. The Case of Kosice Region - Slovakia

Štofa¹,

DŽUPKA²,

Dráb³

2023

Communications

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The issue of sustainability of public transport is constantly receiving attention from both government and research. One possible solution, demand responsive transport (DRT), can increase accessibility in rural areas, improve the quality of service as well as reduce the costs. This paper estimates the operational costs for different types of vehicles in DRT in person-kilometers and compares it to the current costs of standard bus transport for year 2021 and analyses the capacity, occupancy and ticket prices of fixed-route bus transport. As the results indicate, in many cases the costs of DRT are higher compared to standard bus transport, but by increasing the occupancy of vehicles the DRT can provide savings up to 66 %. The use of cars, as well as car-sharing, show higher costs, which is mainly related to a low transport capacity. As the most appropriate vehicles of DRT have been identified micro buses and minibuses.

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Section: Forms Of Drtmentioning

confidence: 99%

Comparison of Operational Costs for Fixed-Route Bus Service and Demand Responsive Transport Systems. The Case of Kosice Region - Slovakia

Štofa¹,

DŽUPKA²,

Dráb³

2023

Communications

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“…Rural areas have lower demand for travel and more dispersed population, which makes a fixed scheduled public transport service not sustainable to satisfy users' needs. Demand Responsive Transport (DRT) becomes a valid alternative to extend the reach of public transport (PT), acting as a feeder service for local PT in urban and sub-urban areas [2,3,38].…”

Section: Literature Reviewmentioning

confidence: 99%

Introduction of emerging mobility services in rural areas through the use of mobile network data combined with activity‐based travel demand modelling

Franco

Kaba

et al. 2023

IET Intelligent Trans Sys

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Whilst urban areas are thriving in trialling new mobility services (NMS), rural environments, often perceived as areas of low demand for travel, struggle to attract investments for creating more mobility solutions alongside traditional public transport (PT) services, making residents more reliant on private cars.This paper describes how policy interventions for introducing NMS in rural areas should be guided by big data to capture real and accurate travel behaviours, therefore avoiding perceived biases and potentially underestimating demand.In the UK, the provision of transport in rural areas is solely linked to population density and does not consider differences between places and residents’ travel habits. The proposed data‐driven decision‐making process used trip‐chains from mobile network data (MND) to derive recent and accurate travel patterns from residents and provide the right mix of on‐demand mobility services alongside existing fixed scheduled public transport (PT).The manuscript describes the steps carried out to study three rural areas at low, medium and high population density in the UK: a data landscape to select study areas; the development of an activity‐based model, which uses anonymised mobile network data (MND) aggregated at trip‐chains level to derive travel patterns; and the development of an on‐line questionnaire and focus groups with rural communities to co‐designing solutions based on attitudes towards NMS.Results demonstrated that a data‐driven decision making process to introduce NMS is a viable solution for updating demand for travel in rural areas, offering a broad understanding of mobility needs and the relationship of interdependency with nearby areas, therefore allowing policy makers to create users‐centric transport solutions.The study concludes by drawing recommendations for NMS for passengers and goods for the NMS proposed for a rural areas [Demand Responsive Transport (DRT), Micro‐mobility and delivery drones].

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“…The pandemic has underscored the need to incorporate these services as complementary to the public transportation in order to serve various areas of weak demand [9][10][11]. Evolving city models and technological developments will also need to consider such forms of transportation provision to improve the planning of developing cities and especially smart cities [9,[12][13][14]. These solutions, however, create many operational challenges that are needed to be solved to make them more efficient and sustainable over time.…”

Section: Literature Reviewmentioning

confidence: 99%

Measuring Customers’ Satisfaction and Preferences for Ride-Hailing Services in a Developing Country

et al. 2022

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Ride-hailing services play an important role in developing countries where conventional transport systems are not enough to meet the needs of commuters because of increased populations. This form of transport has gained much popularity in developing regions because of the inclusion of motorcycles and rikshaws in ride-hailing services. To the best of the authors’ knowledge, there has been little research on passengers’ behavior towards these ride-hailing services that focuses on social protection and the fare system in developing regions. Therefore, this research study is aimed at investigating the behavior of commuters towards these ride-hailing services in Lahore, which is the second largest city in Pakistan and can be considered as a case study of a developing country. A total of 531 useable valid responses were collected through face-to-face interactions, including the sociodemographics (SEDs) and behavior of commuters towards these services. The results of an explanatory factor analysis (EFA) and structural equation modeling (SEM) revealed that some of the significant latent variables of these ride-hailing services are comfort, convenience, privacy and security, the fare system, social protection, and safety. The commuters’ overall evaluation of these services is positive and affects their present and future preferences. The structural coefficient between convenience and the variable of present preference is significant and negative, which shows that there are respondents who infrequently use ride-hailing services despite having high satisfaction. The riders’ satisfaction with privacy, security, social protection, safety, and comfort has a positive and direct impact on their present preferences as the structural estimates are positive, which means that the higher their views on privacy, security, and comfort, the more frequently they intend to use ride-hailing services for commuting. Increased social protection, safety, privacy, and security will improve the evaluations of the commuters and influence their present preferences for these ride-hailing services. Even though there are regulations on these ride-hailing services, some concrete policy interventions are needed for improvements in commuters’ overall evaluations of these services in order to influence their future preferences. The findings of this research study, if applied in the real world, can improve the overall evaluation of the commuters and positively influence their present and future preferences for these ride-hailing services.

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An Analysis of the Integration of DRT Services with Local Public Transport in Post-pandemic Period: Some of the Preliminary Insights in the Italian Context

Cited by 7 publications

References 21 publications

Comparison of Operational Costs for Fixed-Route Bus Service and Demand Responsive Transport Systems. The Case of Kosice Region - Slovakia

Comparison of Operational Costs for Fixed-Route Bus Service and Demand Responsive Transport Systems. The Case of Kosice Region - Slovakia

Introduction of emerging mobility services in rural areas through the use of mobile network data combined with activity‐based travel demand modelling

Measuring Customers’ Satisfaction and Preferences for Ride-Hailing Services in a Developing Country

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