Academic literature on the topic 'Transportation disruption'

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Journal articles on the topic "Transportation disruption"

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Messina, Dario, Ana Cristina Barros, António Lucas Soares, and Aristides Matopoulos. "An information management approach for supply chain disruption recovery." International Journal of Logistics Management 31, no. 3 (August 6, 2020): 489–519. http://dx.doi.org/10.1108/ijlm-11-2018-0294.

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PurposeTo study how supply chain decision makers gather, process and use the available internal and external information when facing supply chain disruptions.Design/methodology/approachThe paper reviews relevant supply chain literature to build an information management model for disruption management. Afterwards, three case studies in the vehicle assembly sector, namely cars, trucks and aircraft wings, bring the empirical insights to the information management model.FindingsThis research characterises the phases of disruption management and identifies the information companies use to recover from a variety of disruptive events. It presents an information management model to enhance supply chain visibility and support disruption management at the operational level. Moreover, it arrives at two design propositions to help companies in the redesign of their disruption discovery and recovery processes.Originality/valueThis research studies how companies manage operational disruptions. The proposed information management model allows to provide visibility to support the disruption management process. Also, based on the analysis of the disruptions occurring at the operational level we propose a conceptual model to support decision makers in the recovery from daily disruptive events.
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Macdonald, John R., Tobin E. Porterfield, and Stanley E. Griffis. "Managing Supply Chain Disruption Recovery: The Role of Organizational Justice." Transportation Journal 60, no. 4 (October 1, 2021): 367–405. http://dx.doi.org/10.5325/transportationj.60.4.0367.

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Abstract Supply chain disruptions negatively impact the economy and individual organizations. However, as many companies recover from disruptions (COVID-19 being a recent example), less attention has been paid to how these events impact business-to-business (B2B) relationships characteristic of supply chains. Drawing on justice theory, we examine how the suppliers’ management of the recovery process affects behavioral reactions in the context of supply chain relationships. This study empirically examines the role that partners’ recovery process, honesty, effort, availability, and outcome fairness play in influencing satisfaction, future business volumes, and word-of-mouth. Using ordinary least squares (OLS) regression to test survey data, results indicate that how recovery processes are managed positively affects satisfaction, reduces the likelihood of future business loss, and affects the propensity to communicate negatively about a relationship partner. Unexpectedly, outcome fairness (distributive justice) has a significant positive impact on negative word-of-mouth, indicating that increased perceptions of distributive justice actually increase negative behavioral outcomes in certain settings. We conduct exploratory post hoc serial mediation analysis to further examine this finding and uncover a potential extension to the boundaries of a justice lens. These post hoc results, which generally confirm the OLS results, drive opportunity for better understanding of complaining behavior and navigating the tricky environment associated with managing B2B relationships in a post- disruption environment.
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Ghavidelsyooki, Mona, Anjali Awasthi, M. Allouche, J. Berger, and Snezana Mitrovic Minic. "Partitioning of transportation networks under disruption." International Journal of Modelling and Simulation 37, no. 3 (March 14, 2017): 131–39. http://dx.doi.org/10.1080/02286203.2017.1297652.

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Zhen, Xueping, Yongjian Li, Gangshu (George) Cai, and Dan Shi. "Transportation disruption risk management: business interruption insurance and backup transportation." Transportation Research Part E: Logistics and Transportation Review 90 (June 2016): 51–68. http://dx.doi.org/10.1016/j.tre.2016.01.005.

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Lee, Jane, Lavanya Marla, and Alexandre Jacquillat. "Dynamic Disruption Management in Airline Networks Under Airport Operating Uncertainty." Transportation Science 54, no. 4 (July 2020): 973–97. http://dx.doi.org/10.1287/trsc.2020.0983.

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Air traffic disruptions result in flight delays, cancellations, passenger misconnections, and ultimately high costs to aviation stakeholders. This paper proposes a jointly reactive and proactive approach to airline disruption management, which optimizes recovery decisions in response to realized disruptions and in anticipation of future disruptions. The approach forecasts future disruptions partially and probabilistically by estimating systemic delays at hub airports (and the uncertainty thereof) and ignoring other contingent disruptions. It formulates a dynamic stochastic integer programming framework to minimize network-wide expected disruption recovery costs. Specifically, our Stochastic Reactive and Proactive Disruption Management (SRPDM) model combines a stochastic queuing model of airport congestion, a flight planning tool from Boeing/Jeppesen and an integer programming model of airline disruption recovery. We develop a solution procedure based on look-ahead approximation and sample average approximation, which enables the model’s implementation in short computational times. Experimental results show that leveraging even partial and probabilistic estimates of future disruptions can reduce expected recovery costs by 1%–2%, as compared with a myopic baseline approach based on realized disruptions alone. These benefits are mainly driven by the deliberate introduction of departure holds to reduce expected fuel costs, flight cancellations, and aircraft swaps.
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Swanson and Suzuki. "COVID-19 Carves New Facets of Supply Chain Disruption." Transportation Journal 59, no. 4 (2020): 325. http://dx.doi.org/10.5325/transportationj.59.4.0325.

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Shrivastava, Himanshu, Andreas T. Ernst, and Mohan Krishnamoorthy. "Distribution and Inventory Planning in a Supply Chain Under Transportation Route Disruptions and Uncertain Demands." International Journal of Information Systems and Supply Chain Management 12, no. 3 (July 2019): 47–71. http://dx.doi.org/10.4018/ijisscm.2019070103.

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This article considers transportation disruptions and its detrimental impact on the quality of the enroute shipment. The authors consider a supply chain system of a short life cycle product that has a capacitated supplier, a retailer and multiple routes of transportation under different disruption risks, uncertain cost of transportation, and uncertain demands. The authors investigate a hybrid problem in which the firm needs to develop a suitable distribution strategy under disruption risks along with an optimal checking policy when faced with the supply of varying quantities of damaged items. The authors formulate a non-linear mathematical model in which the overall objective is to maximise the expected profit and to help the firm in decision making under uncertain environments. Lastly, a statistical study is carried out to perform uncertainty analysis.
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Pooley, Colin G. "Uncertain Mobilities." Transfers 3, no. 1 (March 1, 2013): 26–44. http://dx.doi.org/10.3167/trans.2013.030104.

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Contemporary society assumes high levels of unimpeded mobility, and disruptions to the ability to move quickly and easily can cause considerable concern. This paper examines the notion of mobility uncertainty and disruption from an historical perspective, arguing that interruptions to mobility have long been a characteristic of everyday travel. It is suggested that what has changed is not so much the extent or nature of disruption, but rather the resilience of transport systems and societal norms and expectations about travel. Data are taken from five examples of life writing produced by residents of the United Kingdom during the nineteenth and early-twentieth centuries. The texts are used to illustrate the travel problems encountered and the strategies adopted to deal with them. A concluding discussion examines these themes in the context of twenty-first century mobility.
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Stich, Bethany. "Intermodal Transportation Disruption and Reroute Simulation Framework." Transportation Research Record: Journal of the Transportation Research Board 2410, no. 1 (January 2014): 150–59. http://dx.doi.org/10.3141/2410-17.

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MacKenzie, Cameron A., and Aruna Apte. "Modeling disruption in a fresh produce supply chain." International Journal of Logistics Management 28, no. 2 (May 8, 2017): 656–79. http://dx.doi.org/10.1108/ijlm-04-2016-0097.

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Purpose The purpose of this paper is to quantify elements that make fresh produce supply chains (FPSCs) vulnerable to disruptions and to quantify the benefits of different disruption-management strategies. Design/methodology/approach This paper develops a mathematical model of a disruption in a FPSC and analyzes the relationships among variables. Findings The model determines the optimal safety stock as a function of the perishability of the produce, the length of time it takes to find the contamination, the level of demand during the disruption, and the amount of produce that can be rerouted. Applying the model to the 2006 E. coli spinach contamination reveals that the drop in customer demand for fresh spinach plays the largest role in Dole losing sales. Research limitations/implications The model includes several parameters that may be difficult to estimate. Future models can incorporate uncertainty that is inherent in supply chain disruptions. Practical implications The model in this paper can help a supply chain (SC) manager explore the trade-offs of different disruption-management strategies. For example, a SC manager can determine the value of holding additional safety stock vs trying to improve traceability in the SC. Originality/value This paper quantifies and models insights delivered in the qualitative analyses of FPSC disruptions. The theoretical contributions include an analysis of the interaction among safety stock, levels of demand, communication, and traceability parameters in order to help SC managers evaluate different strategies to mitigate the effects of contaminated produce.
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Dissertations / Theses on the topic "Transportation disruption"

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Lekhavat, Saowanit. "Managerial rules for recovering from a disruption event in liner shipping." Thesis, Brunel University, 2019. http://bura.brunel.ac.uk/handle/2438/17564.

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The aim of this study is to propose managerial rules for recovering from a disruption event in liner shipping. A critical realism philosophy is adopted in the design of the research. Optimisation and an experimental methodology which follows the critical realism paradigm is used as a framework. Particle swarm optimisation (PSO) is an optimisation model in which various rules are implemented to search for the optimal option to recover from a disruption problem. Solution representations for two options, speeding up and skipping, have been designed. A case study of a trans- Pacific route is used to generate novelty in the model under various configurations of degrees of disruption, maximum speeds, fuel prices, time windows and skipping penalties. The results show that the skipping option performs better than the speeding up option when there is a large amount of delay. The port skipping option is more valuable when the maximum speed limit of a vessel is low. The option of port skipping saves more total cost than the option of speeding up when fuel prices increase. Particularly, a vessel which applies the skipping option can save more total cost than one which applies the speeding option when there are high fuel prices and high degrees of disruption. In other words, speeding up is recommended in the case of low fuel prices and low degrees of disruption. The speeding option is recommended when a vessel faces a short delay and has a long time window. In contrast, the skipping option is more valuable when there is a long delay and a short time window. The higher the skipping delay penalties, the more valuable the speeding option is.
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Guo, Zhuo. "Tabu search for parallel identical machine disruption problem considering multiple transportation modes /." View abstract or full-text, 2006. http://library.ust.hk/cgi/db/thesis.pl?IEEM%202006%20GUO.

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Doering, Michael [Verfasser], and L. [Akademischer Betreuer] Wolf. "Disruption Tolerant Vehicular Communication in Public Transportation Systems / Michael Doering ; Betreuer: L. Wolf." Braunschweig : Technische Universität Braunschweig, 2012. http://d-nb.info/1175822663/34.

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Fialkoff, Marc Richard. "Assessment of the Jones Act Waiver Process on Freight Transportation Networks Experiencing Disruption." Diss., Virginia Tech, 2017. http://hdl.handle.net/10919/89069.

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In October 2012, Hurricane Sandy caused massive disruption and destruction to the Mid-Atlantic region of the United States. The intensity of the storm forced the Port of New York and New Jersey to close, forcing cargo diversion to the Port of Norfolk in Virginia. Because of the Jones Act restriction on foreign vessels moving between U.S. ports, the restriction on short sea shipping was viewed as a barrier to recovery. Much of the critical infrastructure resilience and security literature focuses on the "hardening" of physical infrastructure, but not the relationship between law, policy, and critical infrastructure. Traditional views of transportation systems do not adequately address questions of governance and behaviors that contribute to resilience. In contrast, recent development of a System of Systems framework provides a conceptual framework to study the relationship of law and policy systems to the transportation systems they govern. Applying a System of Systems framework, this research analyzed the effect of relaxing the Jones Act on freight transportation networks experiencing a disruptive event. Using WebTRAGIS (Transportation Routing Analysis GIS), the results of the research demonstrate that relaxing the Jones Act had a marginal reduction on highway truck traffic and no change in rail traffic volume in the aftermath of a disruption. The research also analyzed the Jones Act waiver process and the barriers posed by the legal process involved in administration and review for Jones Act waivers. Recommendations on improving the waiver process include greater agency coordination and formal rulemaking to ensure certainty with the waiver process. This research is the first in studying the impact of the Jones Act on a multimodal freight transportation network. Likewise, the use of the System of Systems framework to conceptualize the law and a critical infrastructure system such as transportation provides future opportunities for studying different sets of laws and policies on infrastructure. This research externalizes law and policy systems from the transportation systems they govern. This can provide policymakers and planners with an opportunity to understand the impact of law and policy on the infrastructure systems they govern.
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Papangelis, Konstantinos. "User driven design of real time passenger information solutions for supporting rural passengers in the context of disruption." Thesis, University of Aberdeen, 2015. http://digitool.abdn.ac.uk:80/webclient/DeliveryManager?pid=228210.

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Rural communities face a range of challenges associated with accessibility and connectivity. Though real-time passenger information systems (RTPIS) have been long heralded as offering the potential to mitigate some of these challenges their deployment in rural areas has been very limited. The lack of real-time passenger information has been identified as a contributing factor to a multitude of issues, such as high car usage, low public transport use and travel uncertainty. There is considerable potential for appropriate technologies to contribute to the alleviation of these issues, as evidence exists that they can influence travel behaviour, and cultivate positive attitudes towards the service and the operator. This thesis investigated the interplay between rural passenger experience and real-time information provision. Overall, this work aims to provide an initial stepping point on to understanding the interplay between passenger behaviour, disruptions, passenger experience, and real-time information. In order to explore the aforementioned, first, a series of interviews and focus groups with rural public transport passengers, rural transport operators, government agencies and members of academia have been carried out to study the rural passengers' responses to planned and unplanned travel disruption. Based on these i) a conceptual model that aims to describe the passenger recovery phases to disruption and the associated passenger information requirements, ii) and a framework that highlights characteristics of transport behaviour, and aligns them with drivers of transport behaviour adaptation have been created. Next, through a series of co-designed sessions in various rural areas throughout the UK a mobile technology probe, which provides public transport real time information to the passengers has been developed. Then using the technology probe a two-week before-and-after intervention study with 15 participants has been carried out. The results indicate that real-time information provided through the technology probe adjusted the travel behaviour of the participants. Namely, it improved the utilisation of waiting time of the participants, improved the efficiency of their travelling, and enabled them to find alternatives when needed. Further, to get a better picture of the effect of real-time information on rural travellers, during the intervention study 6 of the participants in their everyday travels for 7 days have been actively observed by the author. The outcomes from this supplemented the data from the study and illustrated how the rural public transport travellers used the system in their day-to-day travels. Finally, all our findings have been combined to co-create a system design with rural public transport passengers that aims to improve their experience during disruption. The final design mainly concentrated on providing information regarding pre-trip, on-trip and on boarding point, journey planning, supporting the rural passenger experience through social media, and disruption. In order to evaluate the applicability and suitability of the design, and explore how it relates to the needs of the rural passengers, two focus groups have been conducted. The results of the evaluation activity illustrate that the mobile RTPI system design was perceived as highly useful and relevant to the needs of the rural passenger.
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Eros, Emily J. (Emily Jean). "Transportation data as disruptive innovation in Mexico City." Thesis, Massachusetts Institute of Technology, 2014. http://hdl.handle.net/1721.1/90096.

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Thesis: M.C.P., Massachusetts Institute of Technology, Department of Urban Studies and Planning, 2014.
Cataloged from PDF version of thesis.
Includes bibliographical references (pages 76-84).
Despite the popularity of big data and smart city initiatives in rich countries, relatively few city governments in the Global South possess even basic information about public transportation routes and operations within their jurisdictions. The growing ubiquity of affordable mobile phones and internet-capable devices has enabled some developing cities to begin collecting and compiling these data. This thesis uses a 2013 data collection project undertaken within the Federal District of Mexico City as a case study to examine the role of information as a disruptive innovation in the transportation sector; it explores the potential impacts of transportation information on microbus regulators, owners/operators, and users. To do so, it draws from literature reviews, interactions with transportation agency staff, and interviews with microbus operators. Findings suggest that increased static information may increase government power with respect to microbus operators, particularly during franchising negotiations, but that it may offer limited benefits to users. Dynamic (i.e., real-time) sensors could benefit regulators, owners, and users alike, but would require genuine support or tolerance from microbus drivers. If the government continues to expand its current franchise attempts, then real-time data collection would be achievable and could offer benefits to all involved parties. Otherwise, it would be unfeasible to incentivize drivers to allow live-tracking to take place on their vehicles. Regardless, the case study suggests that transportation information can play a significant role in changing the regulatory dynamics within the Global South and encourages further efforts in the field.
by Emily J. Eros.
M.C.P.
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Kazemi, Yasaman. "Modeling Petroleum Supply Chain: Multimodal Transportation, Disruptions and Mitigation Strategies." Diss., North Dakota State University, 2016. http://hdl.handle.net/10365/25830.

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The petroleum industry has one of the most complex supply chains in the world. A unique characteristic of Petroleum Supply Chain (PSC) is the high degree of uncertainty which propagates through the network. Therefore, it is necessary to develop quantitative models aiming at optimizing the network and managing logistics operations. This work proposes a deterministic Mixed Integer Linear Program (MILP) model for downstream PSC to determine the optimal distribution center (DC) locations, capacities, transportation modes, and transfer volumes. Three products are considered in this study: gasoline, diesel, and jet fuel. The model minimizes multi-echelon multi-product cost along the refineries, distribution centers, transportation modes and demand nodes. The relationship between strategic planning and multimodal transportation is further elucidated. Furthermore, this work proposes a two stage Stochastic Mixed Integer Linear Program (SMILP) models with recourse for PSC under the risk of random disruptions, and a two stage Stochastic Linear Program (SLP) model with recourse under the risk of anticipated disruptions, namely hurricanes. Two separate types of mitigation strategies ? proactive and reactive ? are proposed in each model based on the type of disruption. The SMILP model determines optimal DC locations and capacities in the first stage and utilizes multimode transportation as the reactive mitigation strategy in the second stage to allocate transfer volumes. The SLP model uses proactive mitigation strategies in the first stage and employs multimode transportation as the reactive mitigation strategy. The goal of both stochastic models is to minimize the expected total supply chain costs under uncertainty. The proposed models are tested with real data from two sections of the U.S. petroleum industry, PADD 3 and PADD 1, and transportation networks within Geographic Information System (GIS). It involves supply at the existing refineries, proposed DCs and demand nodes. GIS is used to analyze spatial data and to map refineries, DCs and demand nodes to visualize the process. Sensitivity analysis is conducted to asses supply chain performance in response to changes in key parameters of proposed models to provide insights on PSC decisions, and to demonstrate the impact of key parameters on PSC decisions and total cost.
Upper Great Plains Transportation Institute (UGPTI)
Mountain Plains Consortium (MPC)
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Starita, Stefano. "Optimization approaches to protect transportation infrastructure against strategic and random disruptions." Thesis, University of Kent, 2016. https://kar.kent.ac.uk/56634/.

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Past and recent events have proved that critical infrastructure are vulnerable to natural catastrophes, unintentional accidents and terrorist attacks. Protecting these systems is critical to avoid loss of life and to guard against economical upheaval. A systematic approach to plan security investments is paramount to guarantee that limited protection resources are utilized in the most effcient manner. This thesis provides a detailed review of the optimization models that have been introduced in the past to identify vulnerabilities and protection plans for critical infrastructure. The main objective of this thesis is to study new and more realistic models to protect transportation infrastructure such as railway and road systems against man made and natural disruptions. Solution algorithms are devised to effciently solve the complex formulations proposed. Finally, several illustrative case studies are analysed to demonstrate how solving these models can be used to support effcient protection decisions.
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Njuguna, Esther Nyokabi. "A longitudinal analysis of passenger travel disruptions in the National Air Transportation System." Thesis, Massachusetts Institute of Technology, 2014. http://hdl.handle.net/1721.1/90073.

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Thesis: S.M. in Transportation, Massachusetts Institute of Technology, Department of Civil and Environmental Engineering, 2014.
Cataloged from PDF version of thesis.
Includes bibliographical references (pages 134-135).
Recent research on the U.S. National Air Transportation System has shown that approximately 50% of delays suffered by passengers are a result of passenger travel disruptions in the form of either flight cancellations or missed connections. There exists significant variation in the propensity for disruptions across airports and carriers, based on key factors such as scheduling practices, network structures, and passenger connections. In this thesis, we conduct a longitudinal analysis of passenger travel disruptions in the U.S. over the 2006 - 2010 calendar years and analyze the trends in, and impacts of, various scheduling and operational factors across the years. We illustrate the interdependencies of carrier-related factors and airport-related factors, and the resulting impact on passenger travel disruptions. In our analysis, we use passenger travel data spanning five years. This passenger travel data is estimated from publicly available data sources using a methodology previously developed to disaggregate passenger demand data. We find that across the years, flight cancellations, which are the leading cause for passenger disruptions, vary substantially across carriers even when baseline variability across airports is accounted for. Both passenger and operational considerations play a very significant role in cancellation decisions. We explore the effect of load factors and flight frequency on cancellation rates across the carriers and determine that the level of impact of these two factors varies across carrier types, with the cancellation decisions among the regional carriers being influenced more by load factor considerations than by flight frequency. Much of the variability in missed connections at the airport and carrier level can be explained by the flight delays observed. However, an airline's scheduling practices are also a critical factor that affects the rate of misconnections. Highly banked (peaked) flight schedules reduce passenger connection times and result in higher misconnection rates. We find that significant trends and events in the aviation industry, including the Valentine's Day Storm of February 14, 2007, the demise of Aloha Airlines in 2008, the trend towards capacity discipline among legacy carriers after 2008, and Delta and Northwest Airlines' merger in 2010 have had a significant impact on both cancellations and misconnections.
by Esther Nyokabi Njuguna.
S.M. in Transportation
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何志文 and Chi-man Ho. "Contingency planning for transport services under adverse weather and other disruptions." Thesis, The University of Hong Kong (Pokfulam, Hong Kong), 2003. http://hub.hku.hk/bib/B27012566.

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Books on the topic "Transportation disruption"

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Meyer, Michael D., Shannon McLeod, Tracy Fidell, Hardik Gajjar, Divit Sood, Mohammedreza Kamali, Rebecca Wingate, David O. Willauer, and Frank Southworth. Freight Transportation Resilience in Response to Supply Chain Disruptions. Washington, D.C.: Transportation Research Board, 2019. http://dx.doi.org/10.17226/25463.

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Priorities for disasters and economic disruption: The proposed FY2011 budgets for FEMA and EDA : hearing before the Subcommittee on Economic Development, Public Buildings, and Emergency Management of the Committee on Transportation and Infrastructure, House of Representatives, One Hundred Eleventh Congress, second session, May 6, 2010. Washington: U.S. G.P.O., 2010.

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Association of Bay Area Governments. Riding out future quakes: Ideas for action : improving planning of transportation providers, governments, utilities and businesses for post-earthquake transportation disruptions in the San Francisco Bay region. Oakland, CA: ABAG, 1999.

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U.S. Dept. of Energy. Contingency plans to deal with disruptions in Persian Gulf crude oil supply: A report to Congress : joint report. Washington, D.C: U.S. Dept. of Energy, 1988.

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Association of Bay Area Governments., ed. Don't wing it: Airports and Bay Area earthquakes : using airport vulnerability data and response capability to improve planning for post-earthquake transportation disruptions in the San Francisco Bay region. Oakland, CA: Association of Bay Area Governments, 2000.

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Moser, Cliff. Transportation Disruption 2016. Independently Published, 2017.

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Manyem, Prabhu. Disruption Recovery in Air Traffic: An Airport Perspective. Cambridge Scholars Publisher, 2021.

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Disruption Impact Estimating Tool--Transportation (DIETT): A Tool for Prioritizing High-Value Transportation Choke Points. Washington, D.C.: Transportation Research Board, 2006. http://dx.doi.org/10.17226/13940.

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Seba, Tony, and James Arbib. Rethinking Transportation 2020-2030: The Disruption of Transportation and the Collapse of the Internal-Combustion Vehicle and Oil Industries. RethinkX, 2017.

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Clean disruption of energy and transportation : how Silicon Valley will make oil, nuclear, natural gas, coal, electric utilities and conventional cars obsolete by 2030. Clean Planet Ventures, 2014.

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Book chapters on the topic "Transportation disruption"

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Hasan, Syed Faraz, Nazmul Siddique, and Shyam Chakraborty. "Disruption in Vehicular Communications." In Intelligent Transportation Systems, 87–110. Cham: Springer International Publishing, 2017. http://dx.doi.org/10.1007/978-3-319-64057-0_5.

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Jespersen-Groth, Julie, Daniel Potthoff, Jens Clausen, Dennis Huisman, Leo Kroon, Gábor Maróti, and Morten Nyhave Nielsen. "Disruption Management in Passenger Railway Transportation." In Robust and Online Large-Scale Optimization, 399–421. Berlin, Heidelberg: Springer Berlin Heidelberg, 2009. http://dx.doi.org/10.1007/978-3-642-05465-5_18.

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Tatano, Hirokazu, and Satoshi Tsuchiya. "Economic Impacts of the Transportation Network Disruption: An Extension of SCGE Model." In Integrated Disaster Risk Management, 85–95. Singapore: Springer Singapore, 2021. http://dx.doi.org/10.1007/978-981-16-2719-4_6.

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Singh, Emma A. "Compounding Impacts of Lifeline Infrastructure Failure During Natural Hazard Events." In The Demography of Disasters, 189–210. Cham: Springer International Publishing, 2020. http://dx.doi.org/10.1007/978-3-030-49920-4_10.

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Abstract Critical infrastructures, such as transportation systems, communication networks, power and water utilities, have become so integrated into our modern and globalised world that they are commonly taken for granted. That is, until their services are disrupted. The failure of these lifeline services during natural hazard events has the potential to impact populations by exacerbating the hazard itself and/or hindering their ability to respond to or recover from the event. The failure of lifeline infrastructure can also propagate outside the reach of the hazard footprint, causing disruption in regions not directly impacted by the event. Understanding the potential flow-on effects from lifeline failure during natural hazard events is vital for future disaster mitigation, response and recovery. The 2009 South-Eastern Australia heatwave and the 2010 Eyjafjallajökull eruption in Iceland are drawn on to highlight and discuss the vulnerability of lifelines to disruption from natural hazard shocks and the compounding impacts of lifeline failure during natural hazard events.
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Kang, Kai, Jing Zhao, and Yanfang Ma. "A Novel Multi-Objective Programming Model Based on Transportation Disruption in Supply Chain with Insurance Contract." In Proceedings of the Eleventh International Conference on Management Science and Engineering Management, 1103–10. Cham: Springer International Publishing, 2017. http://dx.doi.org/10.1007/978-3-319-59280-0_91.

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Woodhouse, Stephen, and Mostyn Brown. "The Impact of Digitalization." In The Palgrave Handbook of International Energy Economics, 613–27. Cham: Springer International Publishing, 2022. http://dx.doi.org/10.1007/978-3-030-86884-0_30.

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AbstractPrevious energy transformations have been driven by the exploitation of a new energy resource. In contrast, although the digitalization of energy is delivering cost reductions in the supply and transportation of energy; digitalization is truly transformational because it brings the demand side into play, facilitating the move to a more integrated, highly flexible and customer-centric energy system which will ultimately unlock deep decarbonization of our societies. This fertile new energy landscape will be dominated by data-rich organizations able to establish direct relationships with consumers, resulting in the provision of new services which enable the integration of energy consumption with weather-dependent renewable production. Much of the focus is on the intelligent management of demand and supply from connected buildings and electric vehicles, leading to a proliferation of new business models. This increased connectivity comes with risks: increased danger of cybersecurity attacks and disruption of existing business relationships, staffing and organizational structures and a re-positioning of the role of the customer at the heart of the system. This commercial disruption is inherent to the digital transformation of the energy sector: an essential step in the transition to a carbon-neutral global economy.
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Miller, Eric J. "Transportation Modeling." In Urban Informatics, 911–31. Singapore: Springer Singapore, 2021. http://dx.doi.org/10.1007/978-981-15-8983-6_47.

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AbstractInformatics are rapidly and radically transforming urban transportation in ways not seen since the introduction of the automobile over a hundred years ago. Near-ubiquitous smartphone usage, pervasive cellular and Wi-Fi connectivity, powerful and cost-effective computing capabilities, advanced GIS software and databases, advanced platforms for managing and scheduling service operations, etc., are combining to enable the introduction of new mobility services and technologies that are increasingly disrupting conventional trip-making behavior and the “rules of the game” in terms of transportation network operations and the regulation of system performance. The implications of these major informatics-driven changes for transportation modeling are equally disruptive and major. These include changes in: travel behavior; transportation system performance; the data available for model development and application; and modeling methods. Each of these broad areas of impact are discussed in this chapter.
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Wei, Heng, Paul A. Avery, Hao Liu, Gaurav Kashyap, and Jianming Ma. "Surface Transportation Automation." In Disruptive Emerging Transportation Technologies, 63–104. Reston, VA: American Society of Civil Engineers, 2022. http://dx.doi.org/10.1061/9780784415986.ch2.

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Dinning, Michael, and Timothy Weisenberger. "Multimodal Transportation Payments Convergence—Key to Mobility." In Disrupting Mobility, 121–33. Cham: Springer International Publishing, 2017. http://dx.doi.org/10.1007/978-3-319-51602-8_8.

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Dey, Kakan, Deogratias Eustace, Na Chen, Ting Zuo, Heng Wei, and Md Tawhidur Rahman. "Shared Sustainable Mobility." In Disruptive Emerging Transportation Technologies, 185–222. Reston, VA: American Society of Civil Engineers, 2022. http://dx.doi.org/10.1061/9780784415986.ch5.

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Conference papers on the topic "Transportation disruption"

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Yi, Haiyan. "Supplier Selection Models Based on Disruption Risk." In Second International Conference on Transportation Engineering. Reston, VA: American Society of Civil Engineers, 2009. http://dx.doi.org/10.1061/41039(345)623.

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Fan, Menglin, and Wei Zheng. "Feature Selection for Prediction of Railway Disruption Length." In 2019 IEEE Intelligent Transportation Systems Conference - ITSC. IEEE, 2019. http://dx.doi.org/10.1109/itsc.2019.8917030.

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Jamili, Amin, and Mohammadreza Ghoreshi Nejad. "Urban Railway Operation Recovery During Disruption." In 2015 IEEE 18th International Conference on Intelligent Transportation Systems - (ITSC 2015). IEEE, 2015. http://dx.doi.org/10.1109/itsc.2015.454.

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Yi, Haiyan, Huaizhen Ye, and Yang Yu. "Study on Modeling Supply Chain Based on Disruption Risk." In First International Conference on Transportation Engineering. Reston, VA: American Society of Civil Engineers, 2007. http://dx.doi.org/10.1061/40932(246)403.

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Yang, Chunxia, Nuo Wang, and Bing Zhao. "A Berth Scheduling Problem under Sailing Schedule Disruption." In Tenth International Conference of Chinese Transportation Professionals (ICCTP). Reston, VA: American Society of Civil Engineers, 2010. http://dx.doi.org/10.1061/41127(382)167.

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Fereshtehpour, Mohammad, Steven J. Burian, and Mohammad Karamouz. "Flood Risk Assessments of Transportation Networks Utilizing Depth-Disruption Function." In World Environmental and Water Resources Congress 2018. Reston, VA: American Society of Civil Engineers, 2018. http://dx.doi.org/10.1061/9780784481431.014.

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Besinovic, Nikola, Yihui Wang, Songwei Zhu, Egidio Quaglietta, Tao Tang, and Rob M. P. Goverde. "Integrated train and passenger disruption management for urban railway lines." In 2019 IEEE Intelligent Transportation Systems Conference - ITSC. IEEE, 2019. http://dx.doi.org/10.1109/itsc.2019.8917379.

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Li, Qiang, Shiqi Tong, Chunxia Yang, and Nuo Wang. "Optimization of Operation Scheme of Container Terminal Based on Disruption Management." In Second International Conference on Transportation Engineering. Reston, VA: American Society of Civil Engineers, 2009. http://dx.doi.org/10.1061/41039(345)573.

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Cambou, Pierre. "Sensors for robotic mobility and good transportation the upcoming market disruption." In SPIE Photonics West Industry Events. SPIE, 2021. http://dx.doi.org/10.1117/12.2595854.

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Qiang Qiang. "Notice of Retraction: System-optimized transportation network with disruption hedging investment." In 2010 IEEE International Conference on Advanced Management Science (ICAMS). IEEE, 2010. http://dx.doi.org/10.1109/icams.2010.5553030.

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Reports on the topic "Transportation disruption"

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Goodrich, Daniel, and Frances Edwards. Transportation, Terrorism and Crime: Deterrence, Disruption and Resilience. Mineta Transportation Institute, January 2020. http://dx.doi.org/10.31979/mti.2019.1896.

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Chambers, Katherine, Joshua Murphy, and Kathryn McIntosh. 2017 hurricane season : recommendations for a resilient path forward for the Marine Transportation System. Engineer Research and Development Center (U.S.), July 2021. http://dx.doi.org/10.21079/11681/41285.

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In October 2017, the Coordinating Board of the US Committee on the Marine Transportation System tasked the MTS Resilience Integrated Action Team to identify the impacts, best practices, and lessons learned by federal agencies during the 2017 hurricane season. The RIAT studied the resiliency of the MTS by targeting its ability to prepare, respond, recover, and adapt to and from disruptions by turning to the collective knowledge of its members. Utilizing interagency data calls and a targeted workshop, the RIAT gauged the disruptive effect of the 2017 hurricane season and how Hurricanes Harvey, Irma, and Maria affected the operating status of at least 45 US ports across three major regions. This report identifies recommendations to better understand how the MTS can prepare for future storms and identifies activities by federal agencies that are contributing towards resilience. Such actions include hosting early pre-storm preparedness meetings, prioritizing communication between agencies and information distribution, and maintaining or updating existing response plans. Recommendations also target challenges experienced such as telecommunication and prioritization assistance to ports and critical infrastructure. Finally, the report offers opportunities to minimize the impacts experienced from storms and other disruptions to enhance the resilience of the MTS and supporting infrastructure.
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Ng, Andrew, and Melissa Beresford. Negotiating Transportation Insecurity: Local Responses and Coping Strategies in San José, CA. Mineta Transportation Institute, February 2022. http://dx.doi.org/10.31979/mti.2022.2019.

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People rely on transportation every day to access food, work, and social activities. Transportation insecurity—the lack of regular access to adequate transportation—can therefore cause significant disruptions to livelihoods. Understanding how people experience transportation insecurity in metropolitan areas may contribute to building better transportation systems and help formulate ways to alleviate persistent and underlying transportation issues. In this study, the researchers interviewed San José residents who experience transportation insecurity to better understand their experiences and identify the major ways that they cope with lack of adequate transportation. The researchers then used inductive techniques for thematic text analysis to identify patterns major themes in people's experiences and coping strategies. Findings suggest that people experience transportation insecurity as excess time consumption through congested traffic, convoluted travel schedules, and service complications, which causes worry, anxiety, and missed opportunities due to wasting or losing personal time. Overall, people's experiences and reactions allude to what could be improved in San José’s transportation infrastructure.
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Chandrasekhar, Divya, Sua Kim, John Downen, and Joshua Spolsdoff. Estimating the Economic Impacts Of Transportation-Related Supply Chain Disruptions In The Post-Earthquake Environment. Transportation Research and Education Center (TREC), 2022. http://dx.doi.org/10.15760/trec.276.

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Lucas, Brian. Impact of COVID-19 on Poaching and Illegal Wildlife Trafficking Trends in Southern Africa. Institute of Development Studies (IDS), January 2022. http://dx.doi.org/10.19088/k4d.2022.017.

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This rapid review focuses on the impact COVID-19 pandemic om poaching and illegal wildlife trafficking. It provides an overview of the recent research and summarises the key themes. This review found that poaching for the purpose of international trafficking of illegal wildlife products, generally decreased. These declines are largely attributed to the disruption of transportation routes used by wildlife traffickers to move illicit goods within Southern Africa and overseas by air, and in some locations to the effects of local lockdown measures. Poaching for subsistence consumption (bushmeat) generally increased across Southern Africa and worldwide during the COVID-19 pandemic, incentivised largely by economic hardship and opportunities presented by a reduction in the capacity for anti-poaching enforcement and reduced numbers of tourists, whose presence tends to deter poachers. In the long term, poaching and trafficking are likely to return to pre-pandemic levels. Commercial poachers and traffickers are likely to adjust their transportation routes and adapt their business models to take advantage of opportunities. More positively, some authors have suggested the possibility that the COVID-19 pandemic could influence public attitudes against wildlife trafficking and in support of conservation. Trends in poaching and illegal wildlife trafficking during the COVID-19 pandemic vary significantly across and within countries. The impacts resulting from the measures put in place to reduce the spread of COVID-19 have varied significantly depending on local contexts. Up-to-date data on recent trends during the pandemic are scarce. Good quality data are available on poaching and trafficking of high-value commodities such as elephant ivory and rhino horn, while data on poaching for subsistence are less rigorous and often anecdotal. Much of the evidence available for both types of poaching is not systematic and comes from news media reports, and suffers from inherent difficulties of collecting data on illegal activities. Data collection during the pandemic has also been hampered by the challenges of working safely during the pandemic, funding for monitoring and research has been reduced in most areas, and some reporting processes have not yet analysed data collected during 2021.
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Dudoit, Alain, Molivann Panot, and Thierry Warin. Towards a multi-stakeholder Intermodal Trade-Transportation Data-Sharing and Knowledge Exchange Network. CIRANO, December 2021. http://dx.doi.org/10.54932/mvne7282.

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The performance of supply chains used to be mainly the concern of academics and professionals who studied the potential efficiencies and risks associated with this aspect of globalisation. In 2021, major disruptions in this critical sector of our economies are making headlines and attracting the attention of policy makers around the world. Supply chain bottlenecks create shortages, fuel inflation, and undermine economic recovery. This report provides a transversal and multidisciplinary analysis of the challenges and opportunities regarding data interoperability and data sharing as they relate to the ‘Great Lakes - St. Lawrence Seaway Trade Corridor’ (GLSLTC)’s intermodal transportation and trade data strategy. The size and scope of this trade corridor are only matched by the complexity of its multimodal freight transportation systems and growing urbanization on both sides of the Canada-US border. This complexity is exacerbated by the lack of data interoperability and effective collaborations between the different stakeholders within the various jurisdictions and amongst them. Our analytical work relies on : 1) A review of the relevant documentation on the latest challenges to supply chains (SC), intermodal freight transport and international trade, identifying any databases that are to be used.; 2) A comparative review of selected relevant initiatives to give insights into the best practices in digital supply chains implemented in Canada, the United States, and the European Union.; 3) Interviews and discussions with experts from Transport Canada, Statistics Canada, the Canadian Centre on Transportation Data (CCTD) and Global Affairs Canada, as well as with CIRANO’s research community and four partner institutions to identify databases and data that they use in their research related to transportation and trade relevant data availabilities and methodologies as well as joint research opportunities. Its main findings can be summarized as follow: GLSLTC is characterized by its critical scale, complexity, and strategic impact as North America’s most vital trade corridor in the foreseeable further intensification of continental trade. 4% of Canadian GDP is attributed to the Transportation and Logistics sector (2018): $1 trillion of goods moved every year: Goods and services imports are equivalent to 33% of Canada’s GDP and goods and services exports equivalent to 32%. The transportation sector is a key contributor to the achievement of net-zero emissions commitment by 2050. All sectors of the Canadian economy are affected by global supply chain disruptions. Uncertainty and threats extend well beyond the COVID-19 Pandemic. “De-globalization” and increasing supply chains regionalization pressures are mounting. Innovation and thus economic performance—increasingly hinges on the quantity and quality of data. Data is transforming Canada’s economy/society and is now at the center of global trade “Transport data is becoming less available: Canada needs to make data a priority for a national transportation strategy.” * “How the Government of Canada collects, manages, and governs data—and how it accesses and shares data with other governments, sectors, and Canadians—must change.”
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O’Brien, Tom, Deanna Matsumoto, Diana Sanchez, Caitlin Mace, Elizabeth Warren, Eleni Hala, and Tyler Reeb. Southern California Regional Workforce Development Needs Assessment for the Transportation and Supply Chain Industry Sectors. Mineta Transportation Institute, October 2020. http://dx.doi.org/10.31979/mti.2020.1921.

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COVID-19 brought the public’s attention to the critical value of transportation and supply chain workers as lifelines to access food and other supplies. This report examines essential job skills required of the middle-skill workforce (workers with more than a high school degree, but less than a four-year college degree). Many of these middle-skill transportation and supply chain jobs are what the Federal Reserve Bank defines as “opportunity occupations” -- jobs that pay above median wages and can be accessible to those without a four-year college degree. This report lays out the complex landscape of selected technological disruptions of the supply chain to understand the new workforce needs of these middle-skill workers, followed by competencies identified by industry. With workplace social distancing policies, logistics organizations now rely heavily on data management and analysis for their operations. All rungs of employees, including warehouse workers and truck drivers, require digital skills to use mobile devices, sensors, and dashboards, among other applications. Workforce training requires a focus on data, problem solving, connectivity, and collaboration. Industry partners identified key workforce competencies required in digital literacy, data management, front/back office jobs, and in operations and maintenance. Education and training providers identified strategies to effectively develop workforce development programs. This report concludes with an exploration of the role of Institutes of Higher Education in delivering effective workforce education and training programs that reimagine how to frame programs to be customizable, easily accessible, and relevant.
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Scholl, Lynn, Daniel Oviedo, and Orlando Sabogal-Cardona. Disrupting Personal (In)Security? The Role of Ride-Hailing Service Features, Commute Strategies, and Gender in Mexico City. Inter-American Development Bank, December 2021. http://dx.doi.org/10.18235/0003812.

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This paper sheds light on the personal security dimension of ride-hailing from a gender perspective. We explore how features of Transportation Network Companies (TNCs) services affect riders perceptions of security when commuting in ride-hailing services, and how general perceptions of fear of crime shape the way people value such features. Moreover, we analyze the strategies women and men are using to enhance their own security in ride-hailing and factors influencing these strategies. We conducted a survey of users of the TNC DiDi in Mexico City. The statistical methods used are structural equation models SEM and ordered logit models OLOGIT. Results show that women are more likely to value the information made available by ride-hailing applications (e.g., knowing your location or knowing driver information) and the presence of a panic button. The value given to information also increases if a person feels insecure in the streets, in a public transit station or in public transit. People who perceive higher insecurity in the streets have increased positive perceptions of the possibility of travelling without transfers. We also find that women are 64.4% less likely to share ride-hailing trips (pooling) and 2.14 times more likely to share details of their trips through their cellphones.
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Analysis of Grain Basis Behavior during Transportation Disruptions Summary. U.S. Department of Agriculture, Agricultural Marketing Service, November 2017. http://dx.doi.org/10.9752/ts215.11-2017.

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Monetary Policy Report - July de 2021. Banco de la República, October 2021. http://dx.doi.org/10.32468/inf-pol-mont-eng.tr3-2021.

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Macroeconomic summary The Colombian economy sustained numerous shocks in the second quarter, pri¬marily related to costs and supply. The majority of these shocks were unantic¬ipated or proved more persistent than expected, interrupting the recovery in economic activity observed at the beginning of the year and pushing overall inflation above the target. Core inflation (excluding food and regulated items) increased but remained low, in line with the technical staff’s expectations. A third wave of the pandemic, which became more severe and prolonged than the previous outbreak, began in early April. This had both a high cost in terms of human life and a negative impact on Colombia's economic recovery. Between May and mid-June roadblocks and other disruptions to public order had a sig¬nificant negative effect on economic activity and inflation. The combination and magnitude of these two shocks likely led to a decline in gross domestic product (GDP) compared to the first quarter. Roadblocks also led to a significant in¬crease in food prices. The accumulated effects of global disruptions to certain value chains and increased international freight transportation prices, which since the end of 2020 have restricted supply and increased costs, also affected Colombia’s economy. The factors described above, which primarily affected the consumer price index (CPI) for goods and foods, explain to a significant degree the technical staff’s forecast errors and the increase in overall inflation above the 3% target. By contrast, increases in core inflation and in prices for regulated items were in line with the technical staff’s expectations, and can be explained largely by the elimination of various price relief measures put in place last year. An increase in perceived sovereign risk and the upward pressures that this im¬plies on international financing costs and the exchange rate were further con¬siderations. Despite significant negative shocks, economic growth in the first half of the year (9.1%) is now expected to be significantly higher than projected in the April re¬port (7.1%), a sign of a more dynamic economy that could recover more quickly than previously forecast. Diverse economic activity figures have indicated high¬er-than-expected growth since the end of 2020. This suggests that the negative effects on output from recurring waves of COVID-19 have grown weaker and less long-lasting with subsequent outbreaks. Nevertheless, the third wave of the coro¬navirus, and to an even greater degree the previously mentioned roadblocks and disruptions to public order, likely led to a decline in GDP in the second quar¬ter compared to the first. Despite this, data from the monthly economic tracking indicator (ISE) for April and May surpassed expectations, and new sector-level measures of economic activity suggest that the negative impact of the pandemic on output continues to moderate, amid reduced restrictions on mobility and im¬provements in the pace of vaccination programs. Freight transportation registers (June) and unregulated energy demand (July), among other indicators, suggest a significant recovery following the roadblocks in May. Given the above, annual GDP growth in the second quarter is expected to have been around 17.3% (previously 15.8%), explained in large part by a low basis of comparison. The technical staff revised its growth projection for 2021 upward from 6% to 7.5%. This forecast, which comes with an unusually high degree of uncertain¬ty, assumes no additional disruptions to public order and that any new waves of COVID-19 will not have significant additional negative effects on economic activity. Recovery in international demand, price levels for some of Colombia’s export com¬modities, and remittances from workers abroad have all performed better than projected in the previous report. This dynamic is expected to continue to drive recovery in the national income over the rest of the year. Continued ample international liquidity, an acceleration in vacci¬nation programs, and low interest rates can also be ex¬pected to favor economic activity. Improved performance in the second quarter, which led to an upward growth revision for all components of spending, is expected to continue, with the economy returning to 2019 production levels at the end of 2021, earlier than estimated in the April report. This forecast continues to account for the short-term effects on aggregate demand of a tax reform package along the lines of what is currently being pro-posed by the national government. Given the above, the central forecast scenario in this report projects growth in 2021 of 7.5% and in 2022 of 3.1% (Graph 1.1). In this scenar¬io, economic activity would nonetheless remain below potential. The noted improvement in these projections comes with a high degree of uncertainty. Annual inflation increased more than expected in June (3.63%) as a result of changes in food prices, while growth in core inflation (1.87%) was similar to projections.
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