Planning and operating a shared goods and passengers on-demand rapid transit system for sustainable city-logistics

Fatnassi, Ezzeddine; Chaouachi, Jouhaina; Klibi, Walid

doi:10.1016/j.trb.2015.07.016

Cited by 151 publications

(76 citation statements)

References 29 publications

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“…Zhang et al (2015) proposed an evolutionary local search heuristic for the minimization of fuel consumption under three dimensional loading constraints. Fatnassi et al (2015) investigated energy gains arising from joint goods and passenger transportation. For a state-of-the-art coverage on green road freight transportation, the reader is referred to the book chapter of Eglese and Bektaş (2014), and to the surveys of Demir et al (2014b) and Lin et al (2014).…”

Section: Introductionmentioning

confidence: 99%

The impact of depot location, fleet composition and routing on emissions in city logistics

Koç

Bektaş

Jabali

et al. 2016

Transportation Research Part B: Methodological

144

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This paper investigates the combined impact of depot location, fleet composition and routing decisions on vehicle emissions in city logistics. We consider a city in which goods need to be delivered from a depot to customers located in nested zones characterized by different speed limits. The objective is to minimize the total depot, vehicle and routing cost, where the latter can be defined with respect to the cost of fuel consumption and CO2 emissions. A new powerful adaptive large neighborhood search metaheuristic is developed and successfully applied to a large pool of new benchmark instances. Extensive analyses are performed to empirically assess the effect of various problem parameters, such as depot cost and location, customer distribution and heterogeneous vehicles on key performance indicators, including fuel consumption, emissions and operational costs. Several managerial insights are presented.

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Section: Introductionmentioning

confidence: 99%

The impact of depot location, fleet composition and routing on emissions in city logistics

Koç

Bektaş

Jabali

et al. 2016

Transportation Research Part B: Methodological

144

View full text Add to dashboard Cite

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“…The stages of the methodology are: (1) problem description, (2) data collection, (3) definition of alternatives, (4) model approach, and (5) selection and review. Recent case studies on CL establish different objectives to improve functioning of logistics in cities: collaborative strategies for goods delivery [45], zero emission CL and electromobility [46], low-carbon distribution network [47], transportation system with mixed passengers and goods [48], location selection of CL centers [49] and on-demand rapid transit system [50]. All of these case studies provide solutions by means of CL, principally with the use of discrete optimization to establish feasible solutions.…”

Section: Research Frameworkmentioning

confidence: 99%

Logistic Modeling of the Last Mile: Case Study Santiago, Chile

et al. 2020

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This research proposes a new distribution system of goods in the historical center of the city of Santiago, Chile. For the design of the urban logistic system, the methodology city logistics and last mile are used. This design incorporates to the freight transport flexible solutions that improve the efficiency of the distribution process and trade supply, minimizing the environmental impact of the atmospheric pollution (AP). The proposal was made through the data collection, the characterization of the sector and the diagnosis of the urban logistics processes. The analysis of the factors allowed to evaluate the costs of the AP negative externalities. The causes were used as design criteria for the proposals, with the aim of improving the quality of life of the city users. The physical location selection of the Cross-Docking was made through an optimization model of maximum coverage. The optimization algorithm of the nearest neighbor was proposed for vehicle routing. The analytic hierarchy process (AHP) was used to generate a ranking of the best non-polluting vehicles to be used in the zone. Finally, the results obtained allowed a 53 ton decrease in carbon dioxide in the square kilometer and reduced 1103 h of interruptions per year in the vehicular congestion of the sector.

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“…Positive feedback from various stakeholders are received. Intergrated transit systems have also been proposed to meet dynamic demand of both passenger and freight (e.g., Fatnassi et al [6]). In most practices and studies, passenger and freight services are planned to be provided in designated time intervals, usually with passenger service in priority.…”

Section: Introductionmentioning

confidence: 99%

On the Pricing of Urban Rail Transit with Track Sharing Freight Service

2020

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Transporting parcels on urban passenger rail transit is gaining growing interest as a response to the increasing demand and cost of urban parcel delivery. To analyze the welfare effects of different fare regimes when allowing parcel services on an urban rail transit, this paper models the optimal service problem where the transit operator chooses the number of trains and the departure intervals. By introducing a reduced form train timetable problem, the passenger train crowding model is extended to incorporate the effect of freight train scheduling. We show that the freight users are better off in the time-varying optimal fare regime, while passengers are worse off, and that the time-varying optimal fare regime calls for more trains than the optimal uniform fare regime. However, the reduction in passenger trains due to the introduction of freight service can eliminate the welfare gain from passenger time-varying fare. If the price elasticity of freight demand is relatively high, implementing road toll can generate welfare loss when rail transit is privately operated.

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Planning and operating a shared goods and passengers on-demand rapid transit system for sustainable city-logistics

Cited by 151 publications

References 29 publications

The impact of depot location, fleet composition and routing on emissions in city logistics

The impact of depot location, fleet composition and routing on emissions in city logistics

Logistic Modeling of the Last Mile: Case Study Santiago, Chile

On the Pricing of Urban Rail Transit with Track Sharing Freight Service

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