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Refusal Bias In Hiv Data From The Demographic And Health Surveys: Evaluation, Critique And Recommendations, Oyelola A. Adegboye, Tomoki Fujii, Denis H. Y. Leung Mar 2020

Refusal Bias In Hiv Data From The Demographic And Health Surveys: Evaluation, Critique And Recommendations, Oyelola A. Adegboye, Tomoki Fujii, Denis H. Y. Leung

Research Collection School Of Economics

Non-response is a commonly encountered problem in many population-based surveys. Broadly speaking, non-response can be due to refusal or failure to contact the sample units. Although both types of non-response may lead to bias, there is much evidence to indicate that it is much easier to reduce the proportion of non-contacts than to do the same with refusals. In this article, we use data collected from a nationally representative survey under the Demographic and Health Surveys program to study non-response due to refusals to HIV testing in Malawi. We review existing estimation methods and propose novel approaches to the estimation …


Estimation Of Fixed Effects Spatial Dynamic Panel Data Models With Small T And Unknown Heteroskedasticity, Liyao Li, Zhenlin Yang Mar 2020

Estimation Of Fixed Effects Spatial Dynamic Panel Data Models With Small T And Unknown Heteroskedasticity, Liyao Li, Zhenlin Yang

Research Collection School Of Economics

We consider the estimation and inference of fixed effects (FE) spatial dynamic panel data (SDPD) models under small T and unknown heteroskedasticity by extending the M-estimation strategy for homoskedastic FE-SDPD model of Yang (2018, Journal of Econometrics). Unbiased estimating equations are obtained by adjusting the conditional quasi-score functions given the initial observations, leading to M-estimators that are free from the initial conditions and robust against unknown cross-sectional heteroskedasticity. Consistency and asymptotic normality of the proposed M-estimator are established. The standard errors are obtained by representing the estimating equations as sums of martingale differences. Monte Carlo results show that the proposed …


The Inefficiency Of Quasi-Per Se Rules: Regulating Information Exchange In Eu And U.S. Antitrust Law, Kenneth Khoo, Jerrold Tsin Howe Soh Mar 2020

The Inefficiency Of Quasi-Per Se Rules: Regulating Information Exchange In Eu And U.S. Antitrust Law, Kenneth Khoo, Jerrold Tsin Howe Soh

Research Collection Yong Pung How School Of Law

It is well understood that the exchange of information between horizontal competitors can violate competition law provisions in both the European Union (EU) and the United States, namely, article 101 of the Treaty on the Functioning of the European Union and section 1 of the Sherman Act. However, despite ostensible similarities between EU and U.S. antitrust law concerning interfirm information exchange, substantial differences remain. In this article, we make a normative argument for the U.S. antitrust regime's approach, on the basis that the United States’ approach to information exchange is likely to be more efficient than the relevant approach under …


Empire And Its Afterlives, Inder Marwah, Jennifer Pitts, Timothy Vasko, Onur Ulas Ince, Robert Nichols Mar 2020

Empire And Its Afterlives, Inder Marwah, Jennifer Pitts, Timothy Vasko, Onur Ulas Ince, Robert Nichols

Research Collection School of Social Sciences

At the time of its 2005 publication, Jennifer Pitts’ A Turn to Empire was among a handful of works in political theory probing imperialism’s constitutive influence over modern political thought.


Translation Of: Place: Derrida And Nishitani, Rolf Elberfeld, Steven Burik Mar 2020

Translation Of: Place: Derrida And Nishitani, Rolf Elberfeld, Steven Burik

Research Collection School of Social Sciences

In his works Chora [Derrida, Jacques. 1993. Khôra. Paris: Galilée] and “Comment ne pas parler? Denegations” Derrida used the metaphor chora from Plato’s Timaeus (49a and following) to continue his struggle with the metaphysics of presence. In 1926 Nishida, the founder of the Japanese Kyōto School, used the same metaphor to create a new foundation of philosophy. Nishitani, a disciple of Nishida, developed the work of Nishida in close connection to Zen Buddhist experiences. Derrida tries to show the limits of language within the game of language, whereas Nishitani starts from an experience beyond language, but tries to make …


Mood-Creativity Relationship In Groups: The Role Of Equality In Idea Contribution In Temporal Mood Effects, Angela K. Y. Leung, Shynan Liou, Ming-Hong Tsai, Brandon Koh Mar 2020

Mood-Creativity Relationship In Groups: The Role Of Equality In Idea Contribution In Temporal Mood Effects, Angela K. Y. Leung, Shynan Liou, Ming-Hong Tsai, Brandon Koh

Research Collection School of Social Sciences

As people working in groups might fare better in solving complex problems than those working alone (e.g., Laughlin, Hatch, Silver, & Boh, Journal of Personality and Social Psychology, 90, 2006 and 644), organizations have increasingly assigned creative projects to groups. Group members contribute their collective efforts over time until the creative project has come to fruition. Although mood is identified as an important antecedent to creativity, little is known about the temporal pattern of how group mood enhances or inhibits group creativity, as well as the underpinning group process that explains the mood—creativity link in groups. We set out to …


Common Power Laws For Cities And Spatial Fractal Structures, Tomoya Mori, Tony E. Smith, Wen-Tai Hsu Mar 2020

Common Power Laws For Cities And Spatial Fractal Structures, Tomoya Mori, Tony E. Smith, Wen-Tai Hsu

Research Collection School Of Economics

City-size distributions are known to be well approximated by power laws across a wide range of countries. But such distributions are also meaningful at other spatial scales, such as within certain regions of a country. Using data from China, France, Germany, India, Japan, and the United States, we first document that large cities are significantly more spaced out than would be expected by chance alone. We next construct spatial hierarchies for countries by first partitioning geographic space using a given number of their largest cities as cell centers and then continuing this partitioning procedure within each cell recursively. We find …


Hybrid Stochastic Local Unit Roots, Offer Lieberman, Peter C. B. Phillips Mar 2020

Hybrid Stochastic Local Unit Roots, Offer Lieberman, Peter C. B. Phillips

Research Collection School Of Economics

Two approaches have dominated formulations designed to capture small departures from unit root autoregressions. The first involves deterministic departures that include local-to-unity (LUR) and mildly (or moderately) integrated (MI) specifications where departures shrink to zero as the sample size n -> infinity. The second approach allows for stochastic departures from unity, leading to stochastic unit root (STUR) specifications. This paper introduces a hybrid local stochastic unit root (LSTUR) specification that has both LUR and STUR components and allows for endogeneity in the time varying coefficient that introduces structural elements to the autoregression. This hybrid model generates trajectories that, upon normalization, …


Securing Bring-Your-Own-Device (Byod) Programming Exams, Oka Kurniawan, Norman Lee, Christopher M. Poskitt Mar 2020

Securing Bring-Your-Own-Device (Byod) Programming Exams, Oka Kurniawan, Norman Lee, Christopher M. Poskitt

Research Collection School Of Computing and Information Systems

Traditional pen and paper exams are inadequate for modern university programming courses as they are misaligned with pedagogies and learning objectives that target practical coding ability. Unfortunately, many institutions lack the resources or space to be able to run assessments in dedicated computer labs. This has motivated the development of bring-your-own-device (BYOD) exam formats, allowing students to program in a similar environment to how they learnt, but presenting instructors with significant additional challenges in preventing plagiarism and cheating. In this paper, we describe a BYOD exam solution based on lockdown browsers, software which temporarily turns students' laptops into secure workstations …


W8-Scope: Fine-Grained, Practical Monitoring Of Weight Stack-Based Exercises, Meeralakshmi Radhakrishnan, Archan Misra, Rajesh Krishna Balan Mar 2020

W8-Scope: Fine-Grained, Practical Monitoring Of Weight Stack-Based Exercises, Meeralakshmi Radhakrishnan, Archan Misra, Rajesh Krishna Balan

Research Collection School Of Computing and Information Systems

Fine-grained, unobtrusive monitoring of gym exercises can help users track their own exercise routines and also provide corrective feedback. We propose W8-Scope, a system that uses a simple magnetic-cum-accelerometer sensor, mounted on the weight stack of gym exercise machines, to infer various attributes of gym exercise behavior. More specifically, using multiple machine learning models, W8-Scope helps identify who is exercising, what exercise she is doing, how much weight she is lifting, and whether she is committing any common mistakes. Real world studies, conducted with 50 subjects performing 14 different exercises over 103 distinct sessions in two gyms, show that W8-Scope …


Detecting Fake News In Social Media: An Asia-Pacific Perspective, Meeyoung Cha, Wei Gao, Cheng-Te Li Mar 2020

Detecting Fake News In Social Media: An Asia-Pacific Perspective, Meeyoung Cha, Wei Gao, Cheng-Te Li

Research Collection School Of Computing and Information Systems

In March 2011, the catastrophic accident known as "The Fukushima Daiichi nuclear disaster" took place, initiated by the Tohoku earthquake and tsunami in Japan. The only nuclear accident to receive a Level-7 classification on the International Nuclear Event Scale since the Chernobyl nuclear power plant disaster in 1986, the Fukushima event triggered global concerns and rumors regarding radiation leaks. Among the false rumors was an image, which had been described as a map of radioactive discharge emanating into the Pacific Ocean, as illustrated in the accompanying figure. In fact, this figure, depicting the wave height of the tsunami that followed, …


Space Efficient Revocable Ibe For Mobile Devices In Cloud Computing, Baodong Qin, Ximeng Liu, Zhuo Wei, Dong Zheng Mar 2020

Space Efficient Revocable Ibe For Mobile Devices In Cloud Computing, Baodong Qin, Ximeng Liu, Zhuo Wei, Dong Zheng

Research Collection School Of Computing and Information Systems

Revocation capacity is one of the main properties for an identity-based encryption (IBE), as in practice users’ private keys are possibly leaked or expired. However, existing revocable IBE schemes usually lack of short keys. Recently, Lin et al. proposed a method to design space efficient revocable IBE scheme from non-monotonic key-policy attribute-based encryption scheme. But, it requires too many pairings (linear to the number of revoked users) to decrypt an IBE ciphertext. In this study, we overcome this problem by adopting the technique of server-aided revocation, recently proposed by Qin et al. in ESORICS 2015. The main contribution is a …


S2n2: An Interpretive Semantic Structure Attention Neural Network For Trajectory Classification, Canghong Jin, Ting Tao, Xianzhe Luo, Zemin Liu, Minghui Wu Mar 2020

S2n2: An Interpretive Semantic Structure Attention Neural Network For Trajectory Classification, Canghong Jin, Ting Tao, Xianzhe Luo, Zemin Liu, Minghui Wu

Research Collection School Of Computing and Information Systems

We have witnessed a rapid growth over past decades in sensor data mining (SDM), which aims at extracting valuable information automatically from large repositories of moving activity data. One of the significant SDM tasks is identifying humans through their transit modes using a variety of user-tracking systems. However, to the best of our knowledge, distinguishing traces of users and understanding their behaviors are difficult tasks in most real-life cases for the following reasons: 1) activity data containing both temporal and spatial contexts are of high order and sparse; 2) living patterns are not as regular as expected, and the route …


Win-Win In Distributive Negotiations: The Economic And Relational Benefits Of Strategic Offer Framing, Michael Schaerer, Martin Schweinsberg, Nico Thornley, Roderick I. Swaab Mar 2020

Win-Win In Distributive Negotiations: The Economic And Relational Benefits Of Strategic Offer Framing, Michael Schaerer, Martin Schweinsberg, Nico Thornley, Roderick I. Swaab

Research Collection Lee Kong Chian School Of Business

In distributive negotiations, people often feel that they have to choose between maximizing their economic outcomes (claiming more value) or improving their relational outcomes (having a satisfied opponent). The present research proposes a conversational strategy that can help negotiators achieve both. Specifically, we show that using an offer framing strategy that shifts offer recipients’ attention to their reservation price (e.g., “How does my offer compare to your minimum price?”) leads to both (a) an assimilation effect whereby recipients make more favorable counteroffers (economic benefit) as well as (b) a contrast effect whereby recipients feel more satisfied with the negotiation (relational …


A Behavioral Signaling Explanation For Stock Splits: Evidence From China, Chenyu Cui, Frank Weikai Li, Jiaren Pang, Deren Xie Mar 2020

A Behavioral Signaling Explanation For Stock Splits: Evidence From China, Chenyu Cui, Frank Weikai Li, Jiaren Pang, Deren Xie

Research Collection Lee Kong Chian School Of Business

We propose a behavioral signaling explanation for the positive announcement effects of stock splits. There are two key behavioral ingredients in our model. First, (retail) investors have misconceptions about stock splits that make them view stock splits as good news. Second, investors are loss-averse and will be particularly disappointed if a splitting firm’s ex-post performance falls short of expectation. In a separating equilibrium, only managers with favorable private information use stock splits to signal. Using a comprehensive sample of stock splits in China over the period of 1998 to 2017, we find supporting evidence: (1) stock splits elicit positive announcement …


Predicting Student Performance In Interactive Online Question Pools Using Mouse Interaction Features, Huan Wei, Haotian Li, Meng Xia, Yong Wang, Huamin Qu Mar 2020

Predicting Student Performance In Interactive Online Question Pools Using Mouse Interaction Features, Huan Wei, Haotian Li, Meng Xia, Yong Wang, Huamin Qu

Research Collection School Of Computing and Information Systems

Modeling student learning and further predicting the performance is a well-established task in online learning and is crucial to personalized education by recommending different learning resources to different students based on their needs. Interactive online question pools (e.g., educational game platforms), an important component of online education, have become increasingly popular in recent years. However, most existing work on student performance prediction targets at online learning platforms with a well-structured curriculum, predefined question order and accurate knowledge tags provided by domain experts. It remains unclear how to conduct student performance prediction in interactive online question pools without such well-organized question …


Ifix: Fixing Concurrency Bugs While They Are Introduced, Zan Wang, Haichi Wang, Shuang Liu, Jun Sun, Haoyu Wang, Junjie Chen Mar 2020

Ifix: Fixing Concurrency Bugs While They Are Introduced, Zan Wang, Haichi Wang, Shuang Liu, Jun Sun, Haoyu Wang, Junjie Chen

Research Collection School Of Computing and Information Systems

Concurrency bugs are notoriously hard to identify and fix. A systematic way of avoiding concurrency bugs is to design and implement a locking policy that consistently guards all shared variables. Concurrency bugs thus can be viewed as the result of an illy-designed or poorly implemented locking policy. The trouble is that the locking policy is often not documented, which makes debugging concurrency bugs clueless. We argue that it is too late to debug concurrency bugs after programming is done and we instead detect and fix them while they are being implemented. In this work, we propose an approach named IFIX …


Automatic Verification Of Multi-Threaded Programs By Inference Of Rely-Guarantee Specifications, Xuan-Bach Le, David Sanan, Jun Sun, Shang-Wei Lin Mar 2020

Automatic Verification Of Multi-Threaded Programs By Inference Of Rely-Guarantee Specifications, Xuan-Bach Le, David Sanan, Jun Sun, Shang-Wei Lin

Research Collection School Of Computing and Information Systems

Rely-Guarantee is a comprehensive technique that supports compositional reasoning for concurrent programs. However, specifications of the Rely condition - environment interference, and Guarantee condition - local transformation of thread state - are challenging to establish. Thus the construction of these conditions becomes bottleneck in automating the technique. To tackle the above problem, we propose a verification framework that, based on Rely-Guarantee principles, constructs the correctness proof of concurrent program through inferring suitable Rely -Guarantee conditions automatically. Our framework first constructs a Hoare-style sequential proof for each thread and then applies abstraction refinement to elevate these proofs into concurrent ones with …


Towards K-Vertex Connected Component Discovery From Large Networks, Li Yuan, Guoren Wang, Yuhai Zhao, Feida Zhu Mar 2020

Towards K-Vertex Connected Component Discovery From Large Networks, Li Yuan, Guoren Wang, Yuhai Zhao, Feida Zhu

Research Collection School Of Computing and Information Systems

In many real life network-based applications such as social relation analysis, Web analysis, collaborative network, road network and bioinformatics, the discovery of components with high connectivity is an important problem. In particular, k-edge connected component (k-ECC) has recently been extensively studied to discover disjoint components. Yet many real scenarios present more needs and challenges for overlapping components. In this paper, we propose a k-vertex connected component (k-VCC) model, which is much more cohesive, and thus supports overlapping between components very well. To discover k-VCCs, we propose three frameworks including top-down, bottom-up and hybrid …


Familiarity, Attitudes, And Self-Regulatory Challenges Related To Mindfulness, Alissa J. Mrazek, Michael D. Mrazek, Leandro A. Calcagnotto, Jonathan N. Cloughesy, Abigail M. Holman, Theodore C. Masters-Waage, Jonathan W. Schooler Feb 2020

Familiarity, Attitudes, And Self-Regulatory Challenges Related To Mindfulness, Alissa J. Mrazek, Michael D. Mrazek, Leandro A. Calcagnotto, Jonathan N. Cloughesy, Abigail M. Holman, Theodore C. Masters-Waage, Jonathan W. Schooler

Research Collection Lee Kong Chian School Of Business

Objectives: Despite growing evidence demonstrating the benefits of mindfulness for physical and mental health, little is known about the barriers that dissuade individuals from practicing mindfulness. The present study sought to examine the self-regulatory barriers that most commonly prevent mid-life adults from engaging in mindfulness practice. Methods: The present study surveyed a nationally representative sample of 385 mid-life adults (ages 50-64) in the USA to assess familiarity, attitudes, and prior experiences with mindfulness, as well as self-regulatory challenges that may hinder consistent practice. Specifically, this research focused on the self-regulatory elements of (i) goal setting, (ii) limiting beliefs, (iii) habit …


Situational Judgment Tests For Selection: Traditional Versus Construct-Driven Approaches, Paul A. Tiffin, Lewis W. Paton, Deborah O'Mara, Carolyn Maccann, Jonas W. B. Lang, Filip Lievens Feb 2020

Situational Judgment Tests For Selection: Traditional Versus Construct-Driven Approaches, Paul A. Tiffin, Lewis W. Paton, Deborah O'Mara, Carolyn Maccann, Jonas W. B. Lang, Filip Lievens

Research Collection Lee Kong Chian School Of Business

Context: Historically, situational judgement tests (SJTs) have been widely used for personnel selection. Their use in medical selection in Europe is growing, with plans for further expansion into North America and Australasia, in an attempt to measure and select on ‘non-academic’ personal attributes. However, there is a lack of clarity regarding what such tests actually measure and how they should be designed, scored and implemented within the medical and health education selection process. In particular, the theoretical basis from which such tests are developed will determine the scoring options available, influencing their psychometric properties and, ultimately, their validity. Methods: The …


An Empirically Supported Taxonomy Of Misinformation, Mark Chong, Murphy Choy Feb 2020

An Empirically Supported Taxonomy Of Misinformation, Mark Chong, Murphy Choy

Research Collection Lee Kong Chian School Of Business

Fake news, which includes both disinformation and misinformation, has been a challenge for many countries in the last few years. Disinformation has been present in modern history as part of the tool kit of PSYOPS for the military. Likewise, misinformation has been part of human history for a long time. Hoaxes, rumors, and urban legends—all of which can be classified as differing types of misinformation, although they are not commonly addressed as such—have been exploited by adversarial organizations for their own benefit. This study will propose a comprehensive taxonomy to tackle fake news, disinformation, and misinformation and assess the level …


Five Challenges In Cloud-Enabled Intelligence And Control, Tarek Abdelzaher, Yifan Hao, Kasthuri Jayarajah, Archan Misra, Per Skarin, Shuochao Yao, Dulanga Kaveesha Weerakoon Weerakoon Mudiyanselage, Karl-Erik Arzen Feb 2020

Five Challenges In Cloud-Enabled Intelligence And Control, Tarek Abdelzaher, Yifan Hao, Kasthuri Jayarajah, Archan Misra, Per Skarin, Shuochao Yao, Dulanga Kaveesha Weerakoon Weerakoon Mudiyanselage, Karl-Erik Arzen

Research Collection School Of Computing and Information Systems

The proliferation of connected embedded devices, or the Internet of Things (IoT), together with recent advances in machine intelligence, will change the profile of future cloud services and introduce a variety of new research problems, both in cloud applications and infrastructure layers. These problems are centered around empowering individually resource-limited devices to exhibit intelligent behavior, both in sensing and control, thanks to a judicious utilization of cloud resources. Cloud services will enable learning from data, performing inference, and executing control, all with assurances on outcomes. The paper discusses such emerging services and outlines five resulting new research directions towards enabling …


Stealthy And Efficient Adversarial Attacks Against Deep Reinforcement Learning, Jianwen Sun, Tianwei Zhang, Xiaofei Xie, Lei Ma, Yan Zheng, Kangjie Chen, Yang Liu Feb 2020

Stealthy And Efficient Adversarial Attacks Against Deep Reinforcement Learning, Jianwen Sun, Tianwei Zhang, Xiaofei Xie, Lei Ma, Yan Zheng, Kangjie Chen, Yang Liu

Research Collection School Of Computing and Information Systems

Adversarial attacks against conventional Deep Learning (DL) systems and algorithms have been widely studied, and various defenses were proposed. However, the possibility and feasibility of such attacks against Deep Reinforcement Learning (DRL) are less explored. As DRL has achieved great success in various complex tasks, designing effective adversarial attacks is an indispensable prerequisite towards building robust DRL algorithms. In this paper, we introduce two novel adversarial attack techniques to stealthily and efficiently attack the DRL agents. These two techniques enable an adversary to inject adversarial samples in a minimal set of critical moments while causing the most severe damage to …


(When) Does Transparency Hurt Liquidity?, Karthik Balakrishnan, Aytekin Ertan, Yun Je Lee Feb 2020

(When) Does Transparency Hurt Liquidity?, Karthik Balakrishnan, Aytekin Ertan, Yun Je Lee

Research Collection School Of Accountancy

Conventional wisdom suggests that increases in public information improve market liquidity. However, if greater public information incentivizes only sophisticated investors to produce private information, it could exacerbate information asymmetry among investors and thus reduce liquidity. We explore this argument on a sample of mortgage-backed securities (MBSs) by using a recent European regulation that mandates complex disclosures about the individual loans underlying MBSs. We find that the liquidity of the debt tranches of disclosed MBSs declines by 23% post-regulation. Our inferences are stronger when the securities are harder to value and when the disparity in investor sophistication is higher. In contrast …


Financial Illiteracy And Pension Contributions: A Field Experiment On Compound Interest In China, Changcheng Song Feb 2020

Financial Illiteracy And Pension Contributions: A Field Experiment On Compound Interest In China, Changcheng Song

Research Collection Lee Kong Chian School Of Business

I conduct a field experiment to study the relationship between peoples’ misunderstanding of compound interest and their pension contributions in rural China. I find that explaining the concept of compound interest to subjects increased pension contributions by roughly 40%. The treatment effect is larger for those who underestimate compound interest than for those who overestimate compound interest. Moreover, financial education enables households to partially correct their misunderstanding of compound interest. I structurally estimate the level of misunderstanding of compound interest and conduct a counterfactual welfare analysis: lifetime utility increases by about 10% if subjects’ misunderstanding of compound interest is eliminated.


Privacy-Preserving Network Path Validation, Binanda Sengupta, Yingjiu Li, Kai Bu, Robert H. Deng Feb 2020

Privacy-Preserving Network Path Validation, Binanda Sengupta, Yingjiu Li, Kai Bu, Robert H. Deng

Research Collection School Of Computing and Information Systems

The end-users communicating over a network path currently have no control over the path. For a better quality of service, the source node often opts for a superior (or premium) network path to send packets to the destination node. However, the current Internet architecture provides no assurance that the packets indeed follow the designated path. Network path validation schemes address this issue and enable each node present on a network path to validate whether each packet has followed the specific path so far. In this work, we introduce two notions of privacy—path privacy and index privacy—in the context of network …


Essential Sentences For Navigating Stack Overflow Answers, Sarah Nadi, Christoph Treude Feb 2020

Essential Sentences For Navigating Stack Overflow Answers, Sarah Nadi, Christoph Treude

Research Collection School Of Computing and Information Systems

Stack Overflow (SO) has become an essential resource for software development. Despite its success and prevalence, navigating SO remains a challenge. Ideally, SO users could benefit from highlighted navigational cues that help them decide if an answer is relevant to their task and context. Such navigational cues could be in the form of essential sentences that help the searcher decide whether they want to read the answer or skip over it. In this paper, we compare four potential approaches for identifying essential sentences. We adopt two existing approaches and develop two new approaches based on the idea that contextual information …


Neither Contract Nor Tort: Salomon Triumphant?, Kwan Ho Lau Feb 2020

Neither Contract Nor Tort: Salomon Triumphant?, Kwan Ho Lau

Research Collection Yong Pung How School Of Law

This is a note on three cases: Palmer Birch v Lloyd [2018] 4 WLR 164, Gruber v AIG Management France SA [2018] EWHC 3030 (Comm) and Bumi Armada Offshore Holdings Ltd v Tozzi Srl [2019] 1 SLR 10.


Using Open Source Data To Identify Transit Deserts In Four Major Chinese Cities, Junfeng Jiao, Mingming Cai Feb 2020

Using Open Source Data To Identify Transit Deserts In Four Major Chinese Cities, Junfeng Jiao, Mingming Cai

Research Collection College of Integrative Studies

The concept of transit deserts stems from the concept of food deserts. There is substantial research on transit deserts in developed countries. However, there is no known research that has studied this subject in Chinese cities. Using open-source data, this paper identified transit desert areas in four major Chinese cities (Beijing, Shanghai, Wuhan, Chengdu). The results show that: (1) In these four cities, the transit desert areas are mainly concentrated in city centers and hardly occur in any suburban areas, which is very different from the cases in the US. (2) Shanghai has the largest transit-dependent population living in transit …