Proactive Adaptation Research Articles

“We are going digital”: Leveraging organizational identity pluralism for proactive adaptation

We investigate how incumbents adapt to a major technological change through an inductive study of three large and established firms. Our core contribution is a framework of how proactive incumbents turn their established identities into means of adapting to the technological change, here the digital revolution, through reflecting on and flexing, pluralizing, leveraging, and adapting organizational identity. We conceptualize meta-identity and sub-identity bricolage to explain organizational identity work while coping with the digital revolution proactively. We also distinguish between additive and transformative meta-identities, based on their effect on how adaptation projects are structured. Moreover, we find that managers across hierarchical levels complement each other’s adaptation efforts; top managers promote meta-identity, and intrapreneurs construct sub-identity bricolage. Such identity works help managers avoid potential tensions between identity and innovation. We develop a multilevel identity-informed theoretical model of the firm’s adaptation to major technological change. We discuss our findings and identify avenues for future research.

SITUATIONAL METHOD OF ENVIRONMENTAL RISK MANAGEMENT OF TRANSPORT INDUSTRY ENTERPRISES PROJECTS IN A CIRCULAR ECONOMY

The article is devoted to the study of theoretical and methodological provisions of environmental risk management for projects of transport enterprises, in particular, the use of the situational method. The relevance of certain issues is due to the transformations of the national and world economies, characterized by the formation of the basis of a circular economy in developed countries, as well as the further development of Industry 4.0 and related changes. Circular economy and Industry 4.0 are significant attributes of the economic activity of a modern enterprise, the influence of which determines the adaptation and development of a business entity. Changes caused by the above-mentioned features of the external environment of transport enterprises encourage the revision and improvement of the existing methodological tools for risk management. The situational method of risk management for projects of transport enterprises is the tool that today is able to provide a business entity with a basis for proactive adaptation to changes in the conditions for the implementation of activities by quickly responding to the determination of the need and data generation for transforming the organizational and economic structure, gaining experience. The prerequisites for the introduction of the situational method into the system of risk management of environmental risks of projects of transport enterprises and its practical advantages are considered. The main errors occurring in the process of risk management are given. An algorithm for the situational method of risk management of transport enterprise projects has been formed, which is shown as a structural diagram for formalizing the risk management process and the possibility of its further improvement and implementation at the software level. It is proposed to define the situational method as a component of the proactive risk management of a transport company. Compliance with the ALARP principle in risk management of projects of transport enterprises is proposed, as well as the use of a multi-level analysis, from superficial to detailed.

Flood risk reduction and climate change adaptation of manufacturing firms: Global knowledge gaps and lessons from Ho Chi Minh City

Flooding places continuous stress on small- and medium-sized enterprises (SMEs) particularly in developing and transition economies that depend on their firms’ performance, but may have not fully developed flood protection infrastructure. Yet, detailed knowledge about whether and how firms take adaptation action against flood hazards, including potential adaptation barriers, is surprisingly thin. We respond to this gap by offering an empirical analysis of small- and medium-sized manufacturing firms in Ho Chi Minh City (HCMC), one of the front lines of future environmental risk. Drawing on qualitative interviews, our study has two main aims: first, to understand if adaptive action occurs more intensively among firms that previously faced high direct impacts, and second, to shed light on other internal firm characteristics as well as external conditions that determine firm decisions to undertake flood adaptation measures. We find that the majority of firms cope reactively to prevent severe flooding effects. Interestingly, experience with past events, including those of high impact, do not directly lead to long-term strategic adaptation. A lack of business capabilities and financial capacity, combined with insufficient support systems, largely hamper proactive adaptation. This leads to increased risks and self-reinforcing effects, which quickly endanger the future business viability of firms. Future research on adaptation to climate change should seek to improve understanding of adaptive capacities among SMEs, which are quite different from those of large international corporations.

Reactive and Proactive Adaptation of Cognitive and Motor Neural Signals during Performance of a Stop-Change Task.

The ability to inhibit or suppress unwanted or inappropriate actions, is an essential component of executive function and cognitive health. The immense selective pressure placed on maintaining inhibitory control processes is exemplified by the relatively small number of instances in which these systems completely fail in the average person’s daily life. Although mistakes and errors do inevitably occur, inhibitory control systems not only ensure that this number is low, but have also adapted behavioral strategies to minimize future failures. The ability of our brains to adapt our behavior and appropriately engage proper motor responses is traditionally depicted as the primary domain of frontal brain areas, despite evidence to the fact that numerous other brain areas contribute. Using the stop-signal task as a common ground for comparison, we review a large body of literature investigating inhibitory control processes across frontal, temporal, and midbrain structures, focusing on our recent work in rodents, in an effort to understand how the brain biases action selection and adapts to the experience of conflict.

Time discounting and implications for Chinese farmer responses to an upward trend in precipitation

AbstractThis paper studies Chinese grape growers’ time discounting and its implications for the adoption of technology that can reduce the negative effects of increasing precipitation. Using primary data collected in Xinjiang Province, we undertook a contingent valuation of rain covers that protect fruit from rain and estimated a discounted utility model using these data. Using a hierarchical Bayesian approach, we find that local grape growers discount the future very heavily, with a discount rate of 0.17 per year, which is almost four times higher than the Chinese market interest rate. Farmers also tend to underestimate the benefits of adopting covers, with their purchase decisions appearing to largely depend on their past actual losses rather than future anticipated losses. These findings have broader implications for policies promoting proactive adaptation in response to likely increased rainfall in the region. Targeting farmers who give lower weight to events far off in the future and understanding that many farmers may tend only to make adoption decisions that have strong short‐term benefits could improve the efficacy of climate policies that target agricultural technologies.

Uncertainty in the “New Normal”: Understanding the Role of Climate Change Beliefs and Risk Perceptions in Michigan Tree Fruit Growers’ Adaptation Behaviors

AbstractIn the midwestern United States, intensifying impacts from climate change necessitate adaptation by the agricultural sector. Tree fruit agriculture is uniquely vulnerable to climate change due to the long-lived nature of perennial systems, yet very few studies have addressed how fruit growers perceive climate change and are responding to climate risks. For this study, 16 semistructured interviews were conducted with Michigan tree fruit growers to understand how their climate change beliefs, beliefs about adaptive actions, and climate-related risk perceptions influence adaptation behaviors. While there was a great deal of uncertainty about the anthropogenic nature of climate change, growers generally agreed that unprecedented changes in climate and weather patterns were occurring. Because of a perception of little control over future climate impacts, most growers reactively adapted to climate risks that negatively impacted their orchards by implementing measures such as frost protection, irrigation, pesticides, and crop insurance. This study highlighted that while proactive adaptations such as crop diversification, planting new varieties, and improving soil health will be necessary to increase farm resilience in the future, growers were unable to justify making these changes due to their uncertainty about future climate changes. The findings from this study highlight the need for future outreach efforts by university extension agents, private agricultural advisors, and federal and state agency advisors to provide educational information on the long-term impacts of climate change in order to help growers increase the resilience of their farm in the face of future climate impacts.

Research on E-commerce Visual Marketing Analysis Based on Internet Big Data

Through the construction of the e-commerce vision system platform and the use of big data, the behavioural analysis of the customer groups of similarly designed products is carried out to solve the related problems in visual marketing. According to the characteristics of the user groups, the series of products are pushed out design service. Based on the current research summary of e-commerce platform marketing, the article aims at optimizing the e-commerce platform system and conducts comprehensive research from the cross perspective of marketing theory and visual design. Let the visual design system achieve precise services, promote local traditional industry e-commerce marketing conditions, achieve proactive adaptation to the new normal of economic development, and provide a reference for future design service innovation in the new era.

Seeking anticipatory adaptation: adaptive capacity and resilience to flood risk

ABSTRACT Adaptation to climate risks involves complementarities between vulnerability, adaptive capacity, and resilience. In this study focused on anticipatory adaptation as social dynamics and social construction, we assess county-level adaptive capacity and resilience to inland flood risks. This is done through the application of temporal models, spatial differentials of risk, and economic impulse-response dynamics in the US Upper Midwest over the last 20 years. Empirical results for anticipatory adaptation suggest that social capital attributes and a variety of mitigation measures play a critical role in alleviating flood risks. In addition, counties with higher levels of adaptive capacity rebound more quickly from sudden climate-induced events. Effective and proactive local adaptation planning and policy combined with a region-wide understanding of anticipatory adaptation and temporal matches, spatial differentials, and impulse-response dynamics can help minimise disaster loss and make disaster-prone communities more resilient to future events.

Integrating new sea‐level scenarios into coastal risk and adaptation assessments: An ongoing process

AbstractThe release of new and updated sea‐level rise (SLR) information, such as from the Intergovernmental Panel on Climate Change (IPCC) Assessment Reports, needs to be better anticipated in coastal risk and adaptation assessments. This requires risk and adaptation assessments to be regularly reviewed and updated as needed, reflecting the new information but retaining useful information from earlier assessments. In this paper, updated guidance on the types of SLR information available is presented, including for sea‐level extremes. An intercomparison of the evolution of the headline projected ranges across all the IPCC reports show an increase from the fourth and fifth assessments to the most recent “Special Report on the Ocean and Cryosphere in a Changing Climate” assessment. IPCC reports have begun to highlight the importance of potential high‐end sea‐level response, mainly reflecting uncertainties in the Greenland/Antarctic ice sheet components, and how this might be considered in scenarios. The methods that are developed here are practical and consider coastal risk assessment, adaptation planning, and long‐term decision‐making to be an ongoing process and ensure that despite the large uncertainties, pragmatic adaptation decisions can be made. It is concluded that new sea‐level information should not be seen as an automatic reason for abandoning existing assessments, but as an opportunity to review (i) the assessment's robustness in the light of new science and (ii) the utility of proactive adaptation and planning strategies, especially over the more uncertain longer term.This article is categorized under: Assessing Impacts of Climate Change > Scenario Development and Application

Environmental and economic impacts of rising sea levels: A case study in Kuwait's coastal zone

From an environmental and economic perspective, Kuwait's coastal zone is highly vulnerable to sea level rise (SLR). This paper aims to assess SLR's impact on Kuwait's coastal zone at both the local and national level. The economic and environmental assessments focused on inundation of land, the population at risk, residential sector losses, and affected infrastructure under four SLR scenarios (0.5, 1, 1.5, and 2 m sea rise). Several spatial datasets comprising a digital elevation model, satellite images, and land use map were processed using ArcGIS 10. In addition, the rate of beach erosion from SLR was calculated by applying the Bruun rule. The results revealed that the governorates expected to be the most severely impacted were Hawalli and Kuwait Capital, in terms of both the number of affected people and the residential sector's economic losses. Although the Ahmadi governorate would experience a lower risk of inundation, its coastal area is home to the oil industry, including refineries, harbors, and several power and desalination plants. On a national scale, applying the Bruun rule revealed that the beaches investigated would be eroded entirely by a 1 m increase in sea level. Furthermore, if sea levels rose from 0.5 m to 2 m, 1.4%–4.8% of Kuwait's coastal zone would be inundated, forcing 0.28%–1% of residents to abandon their homes, causing residential losses of $3,463 to $11,142 million. In the same scenarios, the transportation sector would suffer damage to around 1.5%–5% of its road network. The impact of SLR would also extend to the natural environment of Kuwait Bay and caused damage to its ecosystems. The predicted consequences of SLR would vary from one area to another based on natural barriers, shoreline type, coastal structures, and the type of urban development. Therefore, national and local governments' response should consider the long-term consequences of SLR and initiate a proactive adaptation strategy.

Investigating proactive balance control in individuals with incomplete spinal cord injury while walking on a known slippery surface

BackgroundUp to 83 % of individuals with incomplete spinal cord injury (iSCI) experience ≥ 1 fall/year. Individuals with iSCI employ more cautious walking strategies than able-bodied (AB) individuals during normal walking. Whether individuals with iSCI can use proactive balance strategies to adapt to expected slip perturbations/reduce slip severity while walking has not been previously assessed. Methods19 individuals with iSCI (AIS D; 14 males; 61 ± 18 years) and 17 AB individuals (13 males; 61 ± 18 years) completed 3 walking conditions: normal walking trials, an unexpected slip trial, and expected slip trials. Steel rollers induced a slip in the antero-posterior (AP) direction. Outcome variables included step length, center of mass velocity, foot-floor angle, AP margin of stability, and maximum post-slip velocity (PSV). ResultsThe iSCI group used a greater magnitude of cautious strategies (i.e. walking slower with shorter, flatter steps) than AB individuals in all conditions. However, the lack of significant interaction effects indicate that the proactive adaptations compared to normal walking (i.e. walking slower with shorter, flatter steps, and a more anterior xCOM-position) were similar between the two groups (AB & iSCI). Both groups showed a similar rate of adaptation (after just 1 slip) and these feedforward changes were maintained throughout the remaining slip trials which was effective at reducing maximum PSV. ConclusionsIndividuals with iSCI use proactive balance strategies to adapt to a known slippery surface in a similar manner to AB individuals both in terms of the proportion and timing of adaptation.

Is it possible to build adolescents’ cognitive adaptive capacity through climate change education? Insights into a two-year long educational programme in North Tyrol (Austria) and South Tyrol (Italy)

Adapting to anthropogenic climate change requires informed citizens capable of managing personal and societal risks. This study explores the contribution of climate change education (CCE) to build adolescents’ cognitive adaptive capacity. As defined by Grothmann and Patt’s (2005) Model of Private Proactive Adaptation to Climate Change (MPPACC), cognitive dimensions of adaptive capacity correspond to climate change risk perception and adaptation appraisal as preconditions for individual adaptation actions. Their model has been operationalised to examine adolescents’ cognitive adaptive capacity in a pre-test–post-test design, and the educational programme Generation F3–Fit for Future is presented as a quasi-experiment linking this concept with CCE. Because cognitive adaptive capacity is a complex and multifaceted concept, this contribution also studies the influence of CCE on knowledge and thinking skills, which are important dimensions as well. Overall, 173 upper-secondary school students aged between 16 and 18 years actively collaborated with 57 scientific and practical experts on climate change adaptation (CCA) in North and South Tyrol. Additionally, the programme included control groups. Over two school years, Generation F3–Fit for Future encouraged students to follow constructivist inquiry-based CCE, and they carried out their own research-oriented CCA projects. A mixed methods approach compared data from a multivariate multilevel mixed model collected by web-based questionnaires (N = 231) and qualitative data from problem-centred interviews (N = 47), which were analysed by documentary method. The results suggest a mismatch between quantitative and qualitative data. Quantitative data do not show any change in adolescents’ risk perception and adaptation appraisal, but qualitative data reveal that intervention group students demonstrated increased levels of adaptation knowledge and elaborated critical as well as forward thinking skills. Control group students did not show such capacities after standard curriculum education. It is concluded that CCE holds potential to build several dimensions of adolescents’ cognitive adaptive capacity. Upcoming research should further explore mixed research approaches and advance adaptive capacity theory to better understand this concept.

REACT-ION: A Model-based Runtime Environment for Situation-aware Adaptations

Trends such as the Internet of Things lead to a growing number of networked devices and to a variety of communication systems. Adding self-adaptive capabilities to these communication systems is one approach to reducing administrative effort and coping with changing execution contexts. Existing frameworks can help reducing development effort but are neither tailored toward the use in communication systems nor easily usable without knowledge in self-adaptive systems development. Accordingly, in previous work, we proposed REACT, a reusable, model-based runtime environment to complement communication systems with adaptive behavior. REACT addresses heterogeneity and distribution aspects of such systems and reduces development effort. In this article, we propose REACT-ION—an extension of REACT for situation awareness. REACT-ION offers a context management module that is able to acquire, store, disseminate, and reason on context data. The context management module is the basis for (i) proactive adaptation with REACT-ION and (ii) self-improvement of the underlying feedback loop. REACT-ION can be used to optimize adaptation decisions at runtime based on the current situation. Therefore, it can cope with uncertainty and situations that were not foreseeable at design time. We show and evaluate in two case studies how REACT-ION’s situation awareness enables proactive adaptation and self-improvement.

Frequent Flooding and Perceived Adaptive Capacity of Subarctic Kashechewan First Nation, Canada

Perceived (socio-cognitive) capacity is as important as objective (material resources) capacity in assessing the overall adaptive capacity of people at the community level. Higher perceived and objective capacities generate greater total adaptive capacity. This article assesses the perceived adaptive capacity of the Kashechewan First Nation, located in the flood-prone southwestern James Bay (Subarctic) region in Canada. The community is frequently disrupted by the elevated risk of spring flooding and has experienced five major floods since its establishment in 1957. Residents have been evacuated 14 times since 2004 because of actual flooding or flooding risk and potential dike failure. We surveyed 90 residents using 21 indicators to assess the community’s perceived adaptive capacity. The results indicate that residents’ risk perception and perceived adaptive capacity are high and are reshaping their adaptive behavior to the hazard of spring flooding. The strong positive interrelationships between human capital, social capital, governance, and other determinants, such as migration, personal resilience, and experience, also suggest high perceived adaptive capacity. Human capital and the other determinants are relatively higher contributors to the perceived adaptive capacity, followed by social capital and governance determinants. The results also indicate that residents’ disaster preparedness has also improved. The elevated flooding risk and frequently occurring emergencies have motivated the First Nation to modify their spontaneous and proactive adaptation responses for disaster risk reduction at the individual, household, and band levels. Planning to adapt to natural hazards to mitigate their impacts also requires a nuanced understanding of the perceived adaptive capacity that contributes to overall adaptive capacity. Translating the high perceived adaptive capacity into greater total adaptive capacity would contribute to enhancing community resilience.

Temporal-Perturbation Aware Reliability Sensitivity Measurement for Adaptive Cloud Service Selection

Benefiting from the pay-as-you-go business model, cloud-based software applications are becoming more and more popular. A composite cloud system can be constructed by integrating existing component cloud services available over the internet as its system components. In order to fulfill the service-level agreements (SLAs), as well as users’ quality of experience (QoE), a stable execution of the constructed system is desirable in the long term. To achieve this goal, system components at high risk of failing must be identified and fault-tolerated. This is extremely challenging in the dynamic cloud environment that host the component cloud services. However, existing approaches are constrained by their lack of modeling and analysis of system components’ fluctuating reliability time series. To systematically address these issues, in this article, we propose PARS, a perturbation-aware approach, for measuring the reliability sensitivity of component cloud services. It first analyzes the negative perturbations in component cloud services’ historical reliability time series. Then, it calculates the reliability sensitivity of the component cloud services by analyzing how their reliability perturbations impact the reliability of the entire cloud system. Based on PARS, we propose a proactive adaptation approach for constructing and operating composite cloud systems with 1-out-of-2 N-version Programming fault-tolerance. This approach takes the reliability sensitivity of component cloud services estimated by PARS as input to assure the reliability of the cloud system. The results of experiments conducted on two widely used datasets demonstrate the effectiveness and efficiency of the proposed approaches in ensuring the reliability of composite cloud systems.

Adapting to Climate Extreme Events Based on Livelihood Strategies: Evidence from Rural Areas in Thua Thien Hue Province, Vietnam

The key farming communities in Vietnam are generally poor and lack resources to adapt to and mitigate the impacts of climate extreme events (CEEs), but the extent of their adaptation strategies is not well understood. This study aims to analyze the impacts of CEEs, current barriers, and adaptation strategies based on three categories of livelihood strategies. The classification method is first used to divide the livelihood strategy into these three categories, and a multinomial logistic model (MLS) is then applied to determine the set of parameters that affect adaptation options. CEEs result in significant damage in terms of both financial and health dimensions. Various barriers remain, such as the low capacity of relevant staff, lack of local budgets, and outdated methods being used to estimate and mitigate the impacts of CEEs. Notably, there were over 44%, and 28% conducted reactive and proactive adaptations, respectively, while a high percentage of households did not implement at least one adaptation method, around 27%. The MLS model is able to explain about 51.2% of the driving factors that influence adaptation strategies. In addition, the behavior of households in choosing adaptation methods shows the difference between perceptions of CEEs’ impacts and livelihood strategy profiles. There is a need for a package of adaptive solutions to address the impacts of CEEs that cover the many different household perspectives and involve stakeholders at multiple levels.

Do Home Adaptations Prevent Falls for Older People?

IntroductionAround a third of people aged 65+, and around half of people aged 80+ fall at least once a year in the United Kingdom. Homes may be adapted to try to prevent falls, but evidence on the effectiveness of home adaptations is limited.
 Objectives and ApproachOur objective was to determine if proactive (Care&Repair service) and reactive (rapid response) home adaptations provided by Care&Repair Cymru resulted in a reduced risk of a fall for older people aged 60+ in Wales.
 We constructed a longitudinal dataset from the Secure Anonymised Information Linkage Databank. We created quarterly intervals for 5-years pre and post the date a home adaptation was received, or a randomly assigned date for the comparator. Per quarter, we created a binary indicator of whether someone had a fall at home that was recorded in either the emergency department or hospital admission data sources for Wales. We included key demographic variables as covariates. We analysed the data using logistic regression and a difference-in-difference approach.
 ResultsWe analysed 634,046 individuals, of whom 60,794 received the proactive Care&Repair service, and 47,244 received the reactive rapid response service. People receiving proactive or reactive home adaptations from Care & Repair were at around a two-fold increased risk of falling, compared to those who did not receive home adaptation with Odds Ratios (ORs) of 2.13 [95%CI: 2.07, 2.20] and 2.73 [2.64,2.81] respectively. Falls risk increased per quarter for all individuals, but after intervention delivery, the rate of increase fell in the intervention groups.
 ConclusionPeople receiving home adaptations from Care&Repair had a higher chance of a fall, indicating the service was successfully identifying those in need. Falls risk increased for everyone over time, but this was counteracted for people receiving an intervention.

A late Holocene record of marine high-energy events along the Atlantic coast of Morocco: new evidences from the Tahaddart estuary

The Atlantic coast of Morocco has been exposed to marine submersion events from storm surges and tsunamis which have resulted in human and economic losses. The absence of long term records for these hazards makes it difficult to trace their behavior through time, which is the first step to prepare proactive adaptation strategies for events that may happen in the future. In this paper, we present a late Holocene record of marine submersion events along the Atlantic coast of Morocco using a 2.7 m sediment core sampled from the Tahaddart estuary. The sedimentological and geochemical analyses conducted on this geological archive showed a mud-dominated sequence with 14 allochthonous sandy layers (E1-E14) left by marine high-energy events. The deposition age of three layers (E1, E13 and E14) has been determined using conventional dating methods (210Pbex, 137Cs and 14C). The first layer, introduced as E1 seems to fit with the great Lisbon tsunami in 1755 CE (Common Era), an event dated for the first time along the Atlantic coast of Morocco. The other two layers, referred to as E13 and E14, were dated between 3464 and 2837 cal BP (calibrated years Before Present) and chronologically correlated with marine high-energy deposits found on the Spanish Atlantic coast. This correlation confirms the existence of another regional event around 3200 BP.

TRANSFORMATION OF HIGHER EDUCATION IN THE CONTEXT OF INDUSTRY 4.0

The article looks into key trends of higher education development analysed against the backdrop of the changing developmental paradigm and the changing goals of universities that are adapting to the Industry 4.0. An analysis of international and domestic experience of the higher education adaptation to the digital transformation context has been performed on two levels, the macro- and micro ones, as the authors proceed from the assumption that the macro-level being an external context, synergizes the factors of the international and national levels that in the context of internationalization have common system-building parameters. Aim of the article is to present concrete recommendations for universities in different areas of their development, to facilitate their effective and proactive adaptation to the Industry 4.0 context based on the undertaken comparative analysis. The research was performed using the following methods: content analysis, comparative analysis, analysis of international reports and publications, method of expert assessment, of referentometry and direct observation. The novelty is in the examination of the object of research on two levels - the macro- and micro-levels proceeding from the presupposition about the fractal character of changes generated by the digital revolution on the international/global and national level. Such approach has resulted in systemic conclusions and goals relevant for the university sector to succeed in new conditions. The results of the research can be used to underpin future research studies, pre-service and in-service study programs for different target groups within the higher education sector, as well as institutional decisions and policy-making.

Speed-adaptive motion control algorithm for differential steering vehicle

The differential steering vehicle uses the in-wheel motors to drive the wheels directly and individually. However, in order to deliver the required structural robustness, the differential steering vehicle discarded the mechanical steering system and achieved vehicle steering by applying differential speed between the left and right wheels. This paper presents a novel speed-adaptive motion control algorithm based on the unique chassis configuration to enhance the performance in vehicle handling and lateral stability. The proposed control method first estimates the driver’s driving intention, from which reference wheel speeds are individually generated for each wheel based on their respective slipping and skidding status. Finally, the torque command is automatically adjusted by the speed-tracking controller by proactive adaptation of the wheel spinning resistance to effectively avoid excessive slip on low friction. This method exploits the fact that the torque at the steady state will always be equal to the available longitudinal force, thereby delivering the sophisticated tire force estimation without additional computational efforts, and ultimately helping conserve energy and promote lateral stability. The essential road information collected by this algorithm is also made available to drivers for improved vehicle controllability. The algorithm is subjected to three experimental case scenarios—pivot steering, low-friction driving, and curvilinear driving—through TruckSim–Simulink co-simulations and real vehicle tests, and the results have validated the algorithm in realizing the high-performance steering and maneuvering capabilities for six-wheeled differential steering vehicles.