Dissertations / Theses on the topic 'Transportation disruption'

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.

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.
PHD

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.

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.

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)

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.

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

Disruptions to the freight transportation system are costly due to freight's critical relationship to economic productivity. This research will analyze the current methods of estimating the economic impacts of disruptions to the freight transportation system. A review of existing literature will be conducted with the intent of finding methods that address different types of disruptions and impacts. Due to varying economic scopes and disruptions studied, the results will likely indicate a broad range of methodologies and trends. The results will be used to better understand the different approaches taken when quantifying the economic impacts of disruptions and therefore enable more informed policy, regulation and investment.

In this study the researcher provides a behavioral framework for managing massive airline flight disruptions (MAFD) in the United States. Under conditions of MAFD, multiple flights are disrupted throughout the airline's route network, customer service is negatively affected, additional costs are created for airlines, and governments intervene. This study is different from other studies relating to MAFD that have focused on the operational, technical, economic, financial, and customer service impacts. The researcher argues that airlines could improve the management of events that led to MAFD by applying the principles of crisis management where the entire organization is mobilized, rather than one department, adapting organization development (OD) interventions to implement change and organization learning (OL) processes to create culture of innovation, resulting in sustainable improvement in customer service, cost reductions, and mitigation of government intervention. At the intersection of crisis management, OD, and OL, the researcher has developed a new conceptual framework that enhances the resiliency of individuals and organizations in responding to unexpected-yet-recurring crises (e.g., MAFD) that impact operations. The researcher has adapted and augmented Lalonde's framework for managing crises through OD interventions by including OL processes. The OD interventions, coupled with OL, provide a framework for airline leaders to manage more effectively events that result in MAFD with the goal of improving passenger satisfaction, reducing costs, and preventing further government intervention. Further research is warranted to apply this conceptual framework to unexpected-yet-recurring crises that affect operations in other industries.

Independent de la performance remarquable accomplie par la logistique d’aujourd’hui, les réseaux actuels sont majoritairement dédiés à un acteur et donc très peu interconnectés. Cette fragmentation conduit une difficulté de mutualisation des flux et dès lors à une efficacité limitée. Ces organisations dédiées et hétérogènes sont de plus en plus challengées par les nouveaux défis d’aujourd’hui posés à l’efficacité, l’efficience et la résilience. Pour répondre à cet antagonisme, un innovant concept logistique - l’Internet Physique (PI) - a été proposé. Dans ce système, les infrastructures et les moyens de transport peuvent être organisés de façon dynamique et attribués à court ou à long terme en fonction des besoins. Par conséquent, les décisions des opérations logistiques peuvent être prises de façon dynamique, agile, et donc de manière plus optimale. Cette thèse concentre les perspectives de PI concernant la gestion de stocks et du transport par rapport aux défis de l’efficacité et de la résilience.Comme l’étude de l’efficacité de PI par rapport au transport a été déjà effectuée, le premier objectif de cette recherche est d’explorer les potentiels de l’interconnexion des réseaux dans la gestion de stocks, qui n’a par encore été adressé. À cette fin, nous examinons d'abord les trois nouvelles pratiques apportées par PI : 1) les stocks distribués à proximité des clients finaux; 2) le transbordement de stocks entre les hubs; 3) de multiples options dynamiques de sélection de la source pour chaque commande. Deux modèles de gestion de stocks correspondants sont proposés. Cette étude sert de guide pour des décisions de stockage pour les vendeurs dans un tel système logistique ouvert.Après l’analyse d’efficacité de PI, la deuxième partie de cette thèse concerne la résilience des modèles de stockage et de transport dans PI confrontés à des interruptions dans la chaîne logistique. On a étendu les modèles de stockage et de transport avec interruptions imprévisibles dans les infrastructures telles que l’usine ou les hubs. Des stratégies différentes sont développées pour atténuer les risques de perturbation des flux. Des études numériques sont effectuées pour évaluer la performance des modèles proposés.En résumé, cette recherche est la première qui étudie le potentiel de l’Internet Physique pour la gestion de stock et la résilience de ce système. D’après les résultats, il n’y a aucun doute que le PI change le design de chaîne logistique d’aujourd’hui et améliore la performance de gestion de logistique à la fois en efficience et en résilience
Irrespective of significant performance achieved, today’s logistics networks are overwhelmingly dedicated to an actor and therefore poorly interconnected. This fragmentation exhibits inevitable inefficiency and needs to be changed in respond to today’s new arising challenges in efficiency and resilience. To solve this antagonism, an innovative concept - Physical Internet (PI) - has been proposed which is a fully interconnected, open, dynamic logistics system. In such a system, the facilities and means of transportation can be dynamically organized and allocated in the short-term or long-term according to the economic environment. As a result, decisions can be made dynamically, agilely, and thus optimally. This thesis studies the perspectives of the PI to inventory management and transportation regarding the challenges in efficiency and resilience.As the efficiency of the PI to transportation has been carried out in literature, the first objective of this thesis is to explore the potentials of the PI to inventory management. To this end, we firstly qualitatively examine the new practices brought by the PI and conclude three main characteristics: 1) Distributed stocks near end customers; 2) Transshipment of inventories; and 3) multiple dynamic source options. Corresponding inventory models and solutions are proposed and evaluated with numerical experiments in Fast Moving Consumer Goods (FMCG). This part of study gives a guideline for the vendors applying the PI to make inventory decisions in such an open logistic system.The second objective is to analyze the resilience of the proposed PI enabled inventory and transportation model confronted to disruptions. The proposed inventory and transportation model are extended with different disruptions at facilities including plants and hubs. Different disruption strategies are developed. Numerical studies in FMCG are carried out.In a word, this research investigates the inventory management in the PI and the resilience of PI enabled logistics models. It is the first time such a work is done and it should be upfront. From the results of studies, there is no doubt that the PI changes today’s supply chains design and improve the performance of supply chain management both in efficiency, effectiveness and resilience

Transportations role in society is increasingly important and today it has a prominent role in business, citizens lives as well as in the world economy. The increasing globalization and urbanization puts significant pressure on the existing transport system, with increasing demand for high-speed travel. However, this comes with implications on the environment, and the environmental concerns constitutes one of the biggest pressures in transport. And as the contemporary modes are bound by their technologies, enabling marginal rather than radical improvements, a possible window of opportunity for new radical technologies to enter the market can emerge. One new technology emerging within transportation today is called hyperloop, a technology that could prove to meet demand for faster, cheaper, safer and more environmentally efficient transportation. However, the technology is still in an early stage of development and hence surrounded by major uncertainties. Further, the nature of the technology necessitates overcoming several obstacles before it can reach commercial practice. And this together with a limited knowledge of the concept in Sweden makes it difficult to predict if hyperloop can become a viable transport alternative on the Swedish market. Which condensed lays the foundation to the purpose of this paper: "To give an overarching understanding of the Swedish transport market dynamics, together with a comprehensive evaluation of the hyperloop concept. And hence contribute to more inclusive knowledge and understanding of hyperloop’s viability in the Swedish context." Since the phenomenon has not been comprehensively studied previously, the elected research design is that of an exploratory case study, with an inductive, qualitative approach. To address the purpose, a literary review of the theoretical field was conducted. Looking in to previous research on disruptive innovation, diffusion of innovations, technical transitions, transformational pressure as well as window of opportunity. The empirical material gathered during the research process was derived from two main channels. Firstly, an extensive review of scientific articles about the hyperloop technology was conducted, providing insights on the technology and its surroundings. This was complemented by qualitative interviews to obtain material on the dynamics of the Swedish transport market as well as for understanding hyperloop in the Swedish context. The empirical study was further accompanied by a review of news articles and websites to map the most recent progress in the hyperloop development. By analyzing the empirical material through three frameworks; Characteristics of Diffusion, the Multi-Level Perspective (MLP) and Technology Readiness Level (TRL), interesting findings and conclusions were drawn. These together points towards that hyperloop, if the technology reaches its predicted performance, will have significant relative advantages and observable effects in the relation to the contemporary modes of transportation. Further, a noticeable window of opportunity, sprung from capacity shortages and pressure towards environmental sustainability, seems to exist on the Swedish market. A window which could be capitalized upon and justify hyperloop in the Swedish context. The current state of the technology does however come with implications as it so far is insufficient to decrease uncertainty amongst the potential adopters. Factors that likely will prolong the adoption of the technology in Sweden relates to the relative complexity of the system, its limited compatibility with existing practices and the low maturity of the technology. Hence, the hyperloop companies must prove the concept feasible and increase the maturity to gain sufficient acceptance and recognition. This paper contributes to the academic community by assessing the compatibility of hyperloop on the Swedish market, as well as if hyperloop could become a viable alternative transport solution in Sweden. It provides insight to specific perspectives of the Swedish market, its requirements and the demand for alternative transport solutions. Hence, this paper is considered to make both an analytical contribution in terms of evaluating the viability of disruptive technologies. And an empirical contribution by shedding light on new important insights for the potential diffusion of hyperloop. Insights that are significant for hyperloop actors as well as for dominant actors on the Swedish transport market.
Transporters roll i samhället blir allt viktigare och de har idag en framträdande roll inom näringsliv, medborgares liv samt världsekonomin. Den ökande globaliseringen och urbaniseringen sätter dock ett betydande tryck på det existerande transportsystemet, med ökande efterfrågan för höghastighetsalternativ. Detta medför implikationer för miljön, och oron kring transporters miljöpåverkan är ett av de största bekymren för transportsektorn. Eftersom de existerande transportalternativen är bundna av sin teknik, vilket begränsar dem till inkrementella snarare än radikala förbättringar, kan en möjlighet för nya transportsätt att komma in på marknaden öppna sig. En kommande ny teknik som utvecklas inom transport idag kallas hyperloop, en teknik som kan visa sig möta efterfrågan för snabbare, billigare, säkrare och mer miljösmarta transporter. Tekniken är dock i ett tidigt utvecklingsskede och är därav omgärdad av stora osäkerheter. Vidare kräver teknikens natur att flertalet hinder kommer att behöva överkommas innan tekniken kan nå kommersiellt bruk. Detta tillsammans med den begränsade kunskap som finns kring konceptet i Sverige gör det svårt att förutspå om hyperloop kan bli ett möjligt transportalternativ på den svenska marknaden. Kondenserat ligger detta till grund för syftet med den här uppsatsen: "Att ge en övergripande förståelse av dynamiken på den svenska transportmarknaden, tillsammans med en djupgående utvärdering av hyperloop konceptet. Och därav bidra till en mer inkluderande kunskap och förståelse kring hyperloops möjligheter i den svenska kontexten." Eftersom detta fenomen inte tidigare har studerats i större utsträckning valdes en forskningsdesign i form av en undersökande fallstudie med ett induktivt, kvalitativt tillvägagångssätt. För att adressera syftet gjordes en litterär översyn av det teoretiska fältet. Med inblickar i tidigare forskning kring disruptiv teknik, diffusion av innovation, tekniska övergångar, transformationstryck samt möjlighetsfönster. Det empiriska materialet till studien samlades in genom två kanaler i huvudsak. Först, genom en djupdykning i tidigare forskning och vetenskapliga artiklar relaterade till hyperlooptekniken, för att generera insikter kring tekniken och dess omgivning. Detta kompletteras med kvalitativa intervjuer för att erhålla material om dynamiken på den svenska transportmarknaden samt för att ge en förståelse av hyperloop i den svenska kontexten. Den empiriska studien kompletterades ytterligare med en översyn av nyhetsartiklar och webbplatser för att kartlägga de senaste framstegen i hyperlooputvecklingen. Genom att analysera det empiriska materialet med hjälp av tre ramverk; Egenskaper för Spridning av Innovation, Perspektiv i Multipla Nivåer (MLP) och Teknisk Mogenhetsnivå (TRL), kunde flertalet intressanta upptäckter och slutsatser dras. Vilka tillsammans pekar mot att hyperloop, om tekniken lyckas uppnå den predikterade prestandan, kommer att ha betydande relativa fördelar och synliga effekter i förhållande till dagens transportsätt. Vidare kan ett märkbart möjlighetsfönster, sprunget ur kapacitetsbrist och tryck mot miljömässig hållbarhet, identifieras på den svenska marknaden. Detta fönster skulle kunna kapitaliseras på och motivera hyperloop i den svenska kontexten. Teknologins nuvarande tillstånd har emellertid konsekvenser, eftersom den hittills inte är tillräcklig för att minska osäkerheten hos potentiella adopterare. Faktorer som sannolikt kommer att förlänga processen att adoptera tekniken i Sverige härstammar från systemets relativa komplexitet, dess begränsade kompatibilitet med befintliga metoder samt teknikens låga mogenhet. Därav är det essentiellt för hyperloopbolagen att bevisa konceptet möjligt och öka mogenheten för att få tillräcklig acceptans och erkännande. Detta arbete bidrar till det akademiska samhället genom att bedöma kompatibiliteten mellan hyperloop och den svenska marknaden, samt om hyperloop kan bli ett genomförbart transportalternativ i Sverige. Arbetet bidrar med insikter i specifika perspektiv på den svenska marknaden, dess krav samt efterfrågan för alternativa transportlösningar. Därav kan denna uppsats anses utgöra både ett analytiskt bidrag genom dess utvärdering av genomförbarheten av disruptiv teknik. Samt ett empiriskt bidrag genom att belysa viktiga insikter för den potentiella spridningen av hyperloop. Insikter som är viktiga för såväl hyperloopaktörer som de dominanta aktörerna på den svenska transportmarknaden.

碩士
國立臺灣科技大學
管理學院MBA
106
Disruptive innovation has primarily created new technology to disrupt old business model. Go-Jek as one of the disruptive innovation the first unicorn transportation company in Indonesia. However, Go-Jek has disrupted the existence of motorcycle taxi (ojek) and other transportation companies by creating system on the app-based smartphone. This thesis is to identify the key external environment in Go-Jek as a disruptive innovation in Transportation Network Companies (TNC). Therefore, by using a qualitative case study approach, this research aims to get more comprehensive understanding about the external environment in Politic, Economic, Social, Technology, Legal, and Environment (PESTLE) analysis for Go-Jek company and analyze to give the strategic management of external insight. The research uses an explorative research approach to clarify an understanding of the problems in Go-Jek Company in terms of disruptive innovations on how the company is reviewing the external environment. In the short term, it would give negative impact to the companies. Go- Jek Company can keep its services to providing excellent service at lower cost and socialize being the most significant impact on the nations and bring the positive impacts to the society in the long-term.

Temporal and spatial concentrations of several pharmaceuticals and personal care products (PPCPs), and endocrine disrupting compounds (EDCs) are predicted in the Grand River watershed using a novel version of the PhATE (Pharmaceutical Assessment and Transport Evaluation) model code, which is adapted to explicitly consider Canadian conditions. Specific PPCPs and EDCs previously measured in the Grand River watershed in Ontario, Canada, are selected as the target compounds for this study. Due to observed seasonal variability in climate, hydrology, and pharmaceutical loadings at the case study location, predicting seasonal concentrations of each chemical is expected to improve simulation results and the PhATE model is modified accordingly. In this regard, required seasonal hydrological parameters (i.e. flow rate and velocity) are estimated based on site data. Furthermore, chemical loss parameters (i.e. in-stream decay, human loss, and removal efficiency of treatment plants) are extracted from the literature and then calibrated to observed seasonal behaviour. Calibration parameters for the case study include in-stream decay, human loss, and removal efficiency of three different types of treatment plants. Simulated concentrations are validated by comparing them with measured data at two previously sampled locations in the Grand River. In general, the PhATE model, when modified to account for seasonal variability, accurately simulates pharmaceutical concentrations in the Grand River. The validated PhATE model is used in a predictive mode to identify streams and stream segments with high potential risk of being exposed to the selected PPCPs and EDCs in the watershed in different seasons. Results suggest that a portion of the Grand River extending from the effluent of Waterloo and Kitchener wastewater treatment plants down to the municipality of Brantford is likely to be at higher risk, relative to other portions of the watershed. Moreover, the potential for PPCP toxicity to aquatic species is assessed using the maximum simulated concentrations for the Grand River watershed. According to regulatory guidelines developed by the European Union (EU), most of PPCPs are predicted to be at concentrations that require further assessment and/or more stringent regulations and restrictions.