Minimizing the total costs of urban transit systems can reduce greenhouse gas emissions: The case of San Francisco

Cheng, Han; Mao, Chao; Madanat, Samer; Horvath, Arpad

doi:10.1016/j.tranpol.2018.02.009

Cited by 13 publications

(9 citation statements)

References 27 publications

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“…Three scalarization methods were used to test the optimization process, namely, the weighted sum method, and weighted Tchebycheff, and increased weighted Tchebycheff to illustrate the trade-offs between costs and environmental concerns. Cheng et al (2018), worked on the transit system and aimed at public transit systems with optimum designs and operating plans that can mitigate both total costs and greenhouse gas (GHG) emissions. This study investigated the potential emission impact when optimizing the total costs of the transit system.…”

Section: Literature Reviewmentioning

confidence: 99%

An Environmentally Sustainable Closed-Loop Supply Chain Network Design Under Uncertainty: Application of Optimization

Ahmed

Iqbal

Priyanka

et al. 2021

Advances in Intelligent Systems and Computing

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Newly, the rates of energy and material consumption to augment industrial production are substantially high, thus the environmentally sustainable industrial development has emerged as the main issue of either developed or developing countries. A novel approach to supply chain management is proposed to maintain economic growth along with environmentally friendly concerns for the design of the supply chain network. In this paper, a new green supply chain design approach has been suggested to maintain the financial virtue accompanying the environmental factors that required to be mitigated the negative effect of rapid industrial development on the environment. This approach has been suggested a multi-objective mathematical model minimizing the total costs and CO2 emissions for establishing an environmentally sustainable closed-loop supply chain. Two optimization methods are used namely Epsilon Constraint Method, and Genetic Algorithm Optimization Method. The results of the two mentioned methods have been compared and illustrated their effectiveness. The outcome of the analysis is approved to verify the accuracy of the proposed model to deal with financial and environmental issues concurrently.

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Section: Literature Reviewmentioning

confidence: 99%

An Environmentally Sustainable Closed-Loop Supply Chain Network Design Under Uncertainty: Application of Optimization

Ahmed

Iqbal

Priyanka

et al. 2021

Advances in Intelligent Systems and Computing

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“…To estimate the distances of food recovery trips, the continuous approximation (CA) method, a non-linear optimization model, is employed because of its advantage under data constraints. CA models are developed and adapted for comparing transportation strategies and infrastructure design for logistics systems, public transit, facility locations, bike-sharing systems, and, most recently and relevant to this study, restaurant meal delivery trips (30)(31)(32)(33)(34)(35)(36)(37)(38). The data inputs of CA models typically include distributional densities, average origindestination distances, travel speeds, and time and capacity constraints.…”

Section: Modeling the Food Recovery Logisticsmentioning

confidence: 99%

Evaluating the Sustainability of Urban Food Recovery Programs: A Quantitative Assessment in Chicago

Zheng

2021

Transportation Research Record: Journal of the Transportation R

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This study demonstrates the critical need for strategic transportation planning for sustainable food waste management in urban regions. The majority of food waste is generated from non-industrial sectors (i.e., residential, commercial, and institutional sectors that cluster in cities), while over two-thirds of discarded food could have been edible. Food recovery programs (FRPs) can help reduce food wastage, avoid the negative impacts of landfill disposal, and mitigate food insecurities. Notably, FRPs shift long-haul waste transport services destined for a central landfill location to local, short, and time-sensitive pick-up and delivery trips, which have not been carefully studied. This study quantifies the economic efficiency (i.e., cost) and environmental impact (i.e., emissions) of urban FRP scenarios by incorporating the characteristics of surplus food pick-up options, fleet, urban built environment, and donor program participation rates. The results of an empirical study in Chicago, U.S., show that urban FRPs can be both economically efficient and environmentally beneficial, although the preferred strategy for FRPs may vary by neighborhood characteristics. With strategic planning and management, the transportation cost could be as low as $ 0.06/lb of recovered food. Meanwhile, diverting 1 ton of edible food from landfills, on average, reduces greenhouse gas emissions by 97%, or 0.51 MTCO2e. If the estimated volume of 10,000 tons of surplus food in Chicago can be fully recovered, the regional net emission reduction can reach 5,100 MTCO2e, which is equivalent to removing 1,110 vehicles from the roads. This study is anticipated to provide planning insights into initiating and scaling up city-wide FRPs.

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“…Li and Wang (2018) make a combined design of cordon tolls for private vehicles and the bus service. Other authors include the effects of different aspects on the transit network design: urban congestion (Amirgholy et al 2017), operating strategies and greenhouse gas emissions (Cheng et al 2018). Finally, Leurent et al (2019) propose a comprehensive model for the design of multimodal networks integrating modal choice, traffic congestion and environmental impacts.…”

Section: Transit Network Design Modelmentioning

confidence: 99%

Comparison of Bus Network Structures in Face of Urban Dispersion for a Ring-Radial City

Badia

2019

Netw Spat Econ

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This paper extends the discussion about the bus network design in face of the mobility patterns associated with different degrees of urban dispersion. Based on an analytical approach, a comparison of total costs among different network structures is made for a ring-radial city, which is the other most common regular city layout. The results clarify what structure is the best solution for different scenarios of dispersion and city and transport characteristics. Simultaneously, the effect of the street pattern on the applicability of each structure is evaluated comparing these results to a previous research for a grid city. Three basic structures are analyzed: a radial scheme, a direct-trip-based network, and a hybrid structure as a transfer-based alternative. Each structure is dominant for a specific range of dispersion: radial networks for scenarios of high concentration, direct-trip-based systems for intermediate degrees of dispersion, and transfer-based structures when the activities are decentralized. However, constraints on stop capacity modify these ranges. Each structure presents a different distribution of travel time in the transit chain and agency costs that determine the most competitive alternative. In addition, the behavior of the structures and the evolution of costs regarding urban decentralization are practically the same for both street patterns: system costs grow with increasing mobility dispersion, the range of applicability for each structure is the same, and changes in their applicability when main input parameters vary are very similar. Therefore, these results make it possible to generalize about the conclusions obtained independently of the street layout.

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Minimizing the total costs of urban transit systems can reduce greenhouse gas emissions: The case of San Francisco

Cited by 13 publications

References 27 publications

An Environmentally Sustainable Closed-Loop Supply Chain Network Design Under Uncertainty: Application of Optimization

An Environmentally Sustainable Closed-Loop Supply Chain Network Design Under Uncertainty: Application of Optimization

Evaluating the Sustainability of Urban Food Recovery Programs: A Quantitative Assessment in Chicago

Comparison of Bus Network Structures in Face of Urban Dispersion for a Ring-Radial City

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