Transport Infrastructure Research Articles

Sensing transit. The role of senses in slow tourism

ABSTRACT In recent decades, slow tourism, a form of tourism marked by a change in tourists’ mode of transit within or to a locality, has garnered attention. Slow tourism is the result of specific entanglements of people, transport infrastructure, technology, spaces, and landscapes that specifically promote the use of regional trains, bicycles, or walking. This article analyses the sensory aspects of slow tourism at the junction of mobilities and tourism studies, to better comprehend its transit. Transit is the “mobile” backstage of most tourist encounters and often originates from various means of conveyance whose sensory engagement has been little investigated. This study employs data from an Italian online survey that polled slow travellers. The survey sought to test slow tourism “theories”, and to deepen the embodied meanings of “slowing down” through the involvement of the senses. It examined slow tourist trips between 2020 and 2022, and also enabled a better understanding of how the COVID-19 pandemic affected this form of tourism. The findings were based on descriptive statistics and Natural Language Processing, including Semantic Network Analysis and topic detection. The results showed that slow tourism is often enacted through multi-modal transport modes, highlighting multifarious physical, mental, and sensory entanglements that are associated with nature and landscape. The different patterns of these entanglements denote different sensorial experiences of “slowing down” in tourism. The attainment of a more complete understanding of slow tourist transit, including its sensory features, will help policymakers to comprehend the phenomena, contributing to a more informed transition toward sustainability. Facilitating a more informed sustainability transition.

Bridging the gap: how transport infrastructure reduces bilateral trade costs to fuel GDP growth

ABSTRACT Although scholars generally recognize infrastructure development as a pivotal pillar for economic progress, a gap remains in the current literature regarding how transport infrastructure affects GDP growth. This study examines how transport infrastructure impacts GDP growth by reducing trade costs. It confirms that improving the quality of transport infrastructure lowers these costs. Specifically, a 1% improvement in the average transport infrastructure quality between an emerging and a developed economy can reduce bilateral trade costs by up to 0.71%. To estimate the net effect of changes in infrastructure on GDP growth via trade costs, we used the Computational General Equilibrium framework. The results demonstrate significant potential for enhancing GDP growth across different groups of countries based on their level of economic development (i.e. developing countries, emerging countries, and developed countries). The broader implications of transport infrastructure development for the global economy are also examined.

A vision‐based weigh‐in‐motion approach for vehicle load tracking and identification

AbstractWith the rapid increase in the number of vehicles, accurately identifying vehicle loads is crucial for maintaining and operating transportation infrastructure systems. Existing load identification methods typically rely on collecting vehicle load data from weigh‐in‐motion (WIM) systems when vehicles pass over them. However, cumbersome installation, high costs, and regular maintenance are the main obstacles that prevent WIM from being widely used in practice. This study introduces the visual WIM (V‐WIM) framework, a vision‐based approach for tracking and identifying moving loads. The V‐WIM framework consists of two main components, the vehicle weight estimation and the vehicle tracking and location estimation. Vehicle weight is estimated using tire deformation parameters extracted from tire images through object detection and optical character recognition techniques. A deep learning‐based YOLOv8 algorithm is employed as a vehicle detector, combined with the ByteTrack algorithm for tracking vehicle location. The vehicle weight and its corresponding location are then integrated to enable simultaneous vehicle weight estimation and tracking. The performance of the proposed framework was evaluated through two component validation tests and one on‐site validation test, demonstrating its capability to overcome the limitations of existing methods.

Sustainable Transportation Systems Framework and Spatial Analysis with Fractal Analysis Method

Urban studies vary in their evaluations, but the fractal analysis method has been chosen as a tool to achieve strong results with development of geographical modeling and spatial analysis. Fractal geometry is primarily used to detect difference; measure the complexity dependent on initial conditions of the system; and evaluate interactions between spaces. Since formation of a city consists of different layers, systems, and forms, fractal geometry is preferred for this study. The examination of urban spaces is made possible through spatial analysis. The study measures the effectiveness of spatial analysis and transportation decisions. While macroform of a city can be formed with sustainability of transportation, the city's sprawl and controlled development also progress accordingly. Urban density can only be managed through planning decisions. The macroform transformation of Bursa province from past to present has been observed in space. Analysis was conducted on two areas, transportation infrastructure and urban built texture, to understand the change. Based on the coefficient obtained from the spatial analysis, it is evident that transportation decisions significantly influence the transformation of Bursa province in planning decisions, and this transformation is intertwined with settlement texture. The coefficients obtained from fractal analysis emphasize presence of urban sprawl in space.

Quantitative assessment of cost and schedule goals for transportation infrastructure design-build vs design-bid-build selection criteria

PurposeThe choice of design-build (DB) or design-bid-build (DBB) as a project delivery method (PDM) is increasingly important in the infrastructure space as agencies gain authority to use alternative delivery methods and expand their DB experience. There is increasing consensus in the literature that DB has an advantage in schedule performance, while findings are inconclusive for cost performance. However, delivery method selection for individual projects requires a more granular review of project goals and characteristics and their interplay with each method. To provide such a detailed perspective, this study compares quantitative cost and schedule goal assessments for pertinent PDM selection criteria.Design/methodology/approachTo meet the research objectives, this study employed a two-stage approach. First, a literature review and semi-structured interviews analyzed through grounded theory were employed to finalize the criteria addressed in this work. As a result, 19 criteria, categorized into inherent project characteristics and risks, against achieving three distinct goals – lower capital cost, higher cost predictability and higher schedule predictability were included in this study. Second, 22 experts from the industry, the Texas Department of Transportation and the Federal Highway Administration provided impact assessments across the DB and DBB methods. Results were analyzed using utility theory and statistical significance tests.FindingsResults indicate statistically significant differences between cost- and schedule-related impacts. For most criteria, DB selection supports achieving higher schedule predictability, while DBB selection positively impacts the higher cost predictability and lower capital cost goals. This finding provides quantitative evidence for the cost-schedule tradeoffs at the selection stage. In addition, this study provides quantitative support that project risks negatively impact both DB and DBB selection. Interaction with railroads and availability of qualified contractors presented significant differences between the two methods, contradicting the notion that DB is a vehicle for risk transfer.Originality/valueThis work is the first to provide detailed impacts and comparisons across cost and schedule goals during the PDM selection stage, offering insights into decision-making and risk for transportation owners. Researchers can utilize the findings of this work for further comparisons among methods and additional performance goals. In addition, practitioners from state highway agencies can use the findings to make more informed decisions about the PDM selection process for transportation infrastructure projects.

Resource Intensity in the Japanese Transportation System: Integration of Vehicle and Infrastructure

An evaluation of resource efficiency by the transportation system is essential. Resource efficiency was examined from the perspective of mining activity in the form of resource intensity of transportation systems by combining transportation means and infrastructure. The framework of transport infrastructure was developed under a standardized classification to compare the entire transportation sector for various modes of transportation. This framework consists of links, support for links, nodes, fuel supply, and tanks for roadways, railways, aviation, and waterways. The developed framework was then applied to the Japanese transportation system, and resource efficiency in terms of passengers per vehicle was estimated by integrating means of transportation with associated infrastructure using the total material requirement as an indicator of mining intensity. It was identified that the transport infrastructure accounts for a high share of the resource intensity of passenger cars (15–30%) and railways (50–80%). Notably, even considering the massive mining demand for the development of transport infrastructure, the resource efficiency of railways is the highest among various transportation modes.

The economic impact of transport infrastructure: a review of project-level vs. aggregate-level evidence

ABSTRACT This article aims to assess how well the economic impact of transport infrastructure is understood. Analyses of large samples of individual investment projects based on data in the so-called Flyvbjerg database have documented systematic construction cost overruns and first-year traffic demand shortfalls. They have interpreted these findings as being indicative of negative social welfare consequences of typical transport infrastructure investment projects, but that interpretation has been challenged on methodological grounds. The evidence base of ex post social cost–benefit analyses is growing and it, too, has challenged the suggestion that transport infrastructure projects destroy social welfare. Overall, it seems fair to conclude that our understanding of the project-level social welfare consequences of transport infrastructure is improving but remains far from conclusive. In contrast, aggregate-level quantitative meta-analyses provide robust results of a significant and positive relationship between transport infrastructure and economic activity at the level of regions or countries, especially in the long run and at higher levels of geographical aggregation. These aggregate-level results imply that project-level analyses should indeed consider the entire life cycle of projects, not just construction and the first year of operation, and that they should also acknowledge the presence of network effects as well as wider economic impacts – as difficult to measure and controversial as they are.

Analyzing the Determinants of Maize Price Inflation: A Case Study of the Maize Commodity by Milling Companies in Lusaka

Maize price inflation remains a persistent challenge in Zambia, affecting food security and the livelihoods of millions. As a staple food, maize is a critical component of the Zambian diet, and its price fluctuations have far-reaching implications for the economy, poverty levels, and human well-being. This study investigates the determinants of maize price inflation in Lusaka, Zambia, focusing on the maize commodity by milling companies. Using mixed-methods approach combining quantitative and qualitative data, this research examines the relationship between maize price inflation and three key determinants: Price floors, input costs and transportation costs. This study employs multiple linear regression analysis to quantify the impact of these determinants on maize price inflation. The findings of this study reveal that transportation costs have a significant impact on maize price inflation, accounting for 59.83% of the variation in maize prices. This is consistent with the fact that Zambia is a landlocked country, relying heavily on transportation networks to move maize from production areas to consumption centers. The study also finds that price floors explain 73.8% of the variation in average maize prices. The input costs contribute to maize price increases explain 62.33% of the variation in maize price inflation, meaning there’s a positive impact of input costs on maize price. The implication of these findings are far-reaching. Policymakers, milling companies, and other stakeholders seeking to stabilize maize prices and ensure food security in Zambia must prioritize interventions that address transportation costs such as investing in transportation infrastructure, improving logistics, and promoting competition in the transportation sector. Additionally policymakers should review the price floor mechanism to ensure it balances the interest of farmers, millers and consumers. The study contributes to the existing literature on maize price inflation by providing new insights into the determinants of maize price inflation in Zambia. The findings of this study have important implications for policymakers, businesses and civil society organizations seeking to promote food security, reduce poverty and improve human well-being in Zambia.

How do subway stations encourage the vitality of urban consumption amenities in Shanghai: A perspective on agglomeration

Subway is an effective public transportation infrastructure that attracts many urban consumer amenities in developing countries. This paper uses points of interest (POI) data from Dianping.com in 2020 in Shanghai to measure the quantity, quality, and diversity of consumer amenities by six indices: numbers, types, comments, ratings, star ratings, and takeout rate. We find that subway stations have a positive spatial correlation with vitality of consumer amenities within a 2-km radius. In addition, subway stations attract more newly added consumer amenities with higher quality within a 2-km radius, and the results remain robust by using the propensity score matching method. There exists heterogeneity in the ridership of subway stations. Subway stations with higher ridership have a greater effect on the consumer amenities and newly added consumer amenities. In terms of mechanism, based on the perspective of agglomeration economy, this paper uses Baidu Street View big data to verify that pedestrian flow is the key mechanism. This study accurately evaluates the economic and social benefits of subway stations and provides fundamental policy implications for the spatial layout of subways and consumer amenities of large cities in developing countries.

Towards the Efficiency of Infrastructure Building in the Slovak Republic—Methodological Apparatus of Change Management

This paper focuses on the analysis of change procedures in the Slovak Republic, the identification of the critical steps of the process, the possible impacts on the project, and the proposal of a methodological approach to change procedures. It emphasises the contribution of quality transport data for the decision-making of responsible public administration entities in the implementation of changes in transport infrastructure projects and the evaluation of their adequacy in terms of the effectiveness of the spent funds in the context of Value for Money. The proposed methodological approach was provided to the infrastructure manager as guidance in the process of handling effective change management and applied by the authority responsible for the construction and management of transport infrastructure in a specific transport construction project implemented in the Slovak Republic. This has led to the definition of change characteristics and, in terms of budget and schedule implications, has provided quantification of the interval nature of the cost and time requirements and the relative demand in relation to the benchmark. Finally, a recommendation was formulated regarding the change processing method and the selection of the change implementer from the companies approached in terms of the objective preferences of the managing authority and the impacts on the key aspects of the project.

DIRECTIONS FOR IMPROVING THE EFFICIENCY OF SUPPLY CHAIN MANAGEMENT AT INDUSTRIAL ENTERPRISES OF UKRAINE

Supply chain management is a key element in ensuring the efficiency of domestic industrial enterprises, as it allows optimizing material, information and financial flows. Given the growing complexity of the business environment and the military operations taking place in and on the territory of Ukraine, enterprises apply different approaches to managing the supply chains of industrial enterprises, focusing on minimizing costs, increasing flexibility and ensuring a high level of consumer satisfaction. The article examines the main problems of planning and managing supply chains at domestic industrial enterprises in the context of economic and geopolitical challenges. The purpose of the article is to study the current state of functioning of supply chains of manufacturing enterprises in conditions of military operations on the territory of Ukraine, as well as to provide proposals for the effective development of supply chain management at domestic industrial enterprises. Key problems affecting the efficiency of logistics processes are investigated, in particular, disruption of transport infrastructure, instability of raw material supply and growth in logistics costs. Existing approaches to managing supply chains at industrial enterprises are analysed, their features, common and distinctive features are identified. The feasibility of integrating Ukrainian enterprises into international production and sales networks is substantiated in order to minimize risks and improve competitiveness. The dynamics of total cargo transportation volumes in Ukraine are studied. The study used methods such as information collection, quantitative data analysis, systematization, deduction and induction, and the graphical method. Practical recommendations are proposed for increasing the sustainability of supply chains through the development of transport infrastructure, reducing energy dependence and applying the principles of sustainable development. Supply chain management is a key element in ensuring the efficiency of industrial enterprises, as it allows optimizing material, information and financial flows.

Impact of Transportation Infrastructure on Development and Accessibility in Ibadan’s Peripheral Areas

This study explores the impact of transportation infrastructure on development and accessibility in Ibadan's peripheral areas. As urban expansion continues, understanding how transportation systems influence daily commuting and development in these fringe areas is crucial. This research employs a mixed-methods approach, including quantitative surveys and qualitative observations, to analyze transportation patterns and their effects on residents. A structured survey was administered to a sample of 346 residents, with 325 completed responses providing a robust dataset for analysis. The survey aimed to assess transportation modes, accessibility, and the overall impact on development in the peripheral areas of Ibadan. Findings indicate that road transportation is the predominant means of commuting, with 39% of respondents using private cars or motorcycles, 30% relying on minibuses or taxis, and approximately 25% trekking daily. This highlights a reliance on road networks and the varying transportation options available to residents. Water transportation, though present, is limited and strictly regulated, operating between 6 a.m. and 9 p.m. with only two canoes or boats available at each end of the water routes. This restriction underscores the minimal role of water transport in daily commuting compared to road transportation. The data illustrates that while road infrastructure significantly influences accessibility and development in these peripheral areas, the limited and regulated water transportation has a negligible impact. These findings emphasize the need for continued investment in road infrastructure to support economic growth and improve accessibility in Ibadan's peripheral areas. Future research should focus on evaluating the effects of infrastructure improvements on overall development and the potential for enhancing alternative transportation modes.

Accessibility Assessment of the Iron Deposits on the Qinghai–Xizang Plateau: Integrating Transport Networks, Economic Dynamics, and Ecological Constraints

The Qinghai–Xizang Plateau (QXP) is the highest plateau on Earth, with a significant quantity of iron resources that significantly contribute to regional economic development in Western China. However, the exploitation of these iron deposits on the QXP is confronted with dual challenges. The complex geography and weak infrastructure lead to inadequate transport accessibility, while the strict ecological regulations and stringent environmental protection policies further complicate resource development. This study focuses on the transport accessibility issues related to iron deposits on the QXP, aiming to assess the suitability for regional iron resource development. This study conducts a comprehensive, multidimensional analysis encompassing the spatial distribution of iron deposits, the characteristics of the transport network, and economic dynamics. Based on these analyses, an integrated suitability evaluation model is developed to assess the accessibility of iron deposits on the QXP. The results indicate that the transport accessibility of iron deposits on the QXP displays obvious spatial disparities. The deposits on the western QXP exhibit lower accessibility due to the remoteness from major economic centers and underdeveloped transport infrastructure. In contrast, the deposits on the eastern QXP, which are closer to transportation and economic centers, show greater development potential. Additionally, this study innovatively incorporates economic dynamics and ecological protection factors into the transport accessibility evaluation framework, revealing the coupling relationship between the transport conditions, economic patterns, and mineral resource development potential. It provides scientific evidence for the balancing of resource development and environmental protection in ecologically sensitive areas. The findings could contribute to optimizing the iron resource development strategies on the QXP and provide theoretical support for future regional infrastructure planning.

Trade-offs between resilience, sustainability and cost in the US agri-food transportation infrastructure.

Agricultural and food supply chains in the United States are essential for both global and local food security, yet the transportation of agri-food commodities has received little attention despite being an essential feature for connecting production to consumption. Here we map the US agri-food distribution onto real-world highways, railways and waterways and also quantify the trade-offs between cost, path redundancy and carbon emissions of agri-food transit across transportation modes. Highways show the greatest path redundancy; relative to waterways, highways also cost 3 orders of magnitude more and emit 60 times more carbon. On the contrary, waterways show the lowest cost and emission levels, but path redundancy against transportation disturbances is 80% lower than for highways. Railways offer a middle ground on path redundancy, carbon emission and cost concerns compared to highways and waterways. Our findings can inform efforts to balance affordability, resilience and sustainability in agri-food transportation.

Research on the Coordinated Development of “Node-Place” in Intercity Railway Station Areas: A Case Study of the Guangdong–Hong Kong–Macao Greater Bay Area, China

Intercity railways are key transportation infrastructures in the interconnection of urban agglomerations. Their stations are usually distributed based on densely populated and economically active areas, and they also play roles as regional network nodes, intra-city nodes, and functional areas. However, the academic research on the spatial development of station areas is still very limited. In particular, there is no sufficient in-depth discussion about the coordinated development mechanism of the “regional node-place” and “urban node-place” of intercity railways. Based on the case study of Guangdong–Hong Kong–Macao Greater Bay Area in China (GBA), this paper provides an in-depth analysis of the regional node development level, urban node development level, station area development level, comprehensive station area development level, and coordinated development of “regional node-place” and “urban node-place” in the GBA in 2012, 2016, 2020, and 2023 by constructing a node-place model, development index of regional nodes, development level index, and coupling coordination degree model. Findings: (1) From 2012 to 2023, the development of regional nodes, urban nodes, and places of the GBA intercity railway saw a significant improvement, with the proportion of high-value stations increasing by 13.3%, 7%, and 8.8%, respectively. Despite some improvement on the whole, the three still exhibited an unbalanced spatial distribution of “high in the middle-low in the periphery”; (2) The relative gap in development levels between “regional node-place” and “urban node-place” of intercity railways decreased by 0.159 and 0.168, respectively, showing an overall upward trend, but still showing an unbalanced spatial distribution of “high in the middle-low in the periphery”; (3) The development level of regional nodes and urban nodes is lower than that of areas and is dominated by the unbalance place and dependence types, while the unbalance node and balance types account for less; (4) The coordination of the “regional node-place” and “urban node-place” of intercity railways is gradually improved, and the stations with high coordination and high coordination levels accounts for an increased proportion from 4% to 7% and 8%, respectively. However, the coordination remains at a low level on the whole, with most sites still in the low-level coupling and lower-level coupling stages. Some stations in Guangzhou, Shenzhen, Foshan, and Dongguan have witnessed a level leap and are showing a transition towards a medium to high level of coordinated development, with the surrounding areas moving away from low-level coupling and coordination.

Study on spatial pattern and coupling of county traffic superiority degree and new-type urbanization level in Guizhou Province, China

The overall level of transportation infrastructure and the level of new urbanization are two coupled systems that complement each other. The balanced development of a region benefits from the efficient synergy of these two systems. Using methods such as the Gini coefficient and Lorenz curve, spatial autocorrelation and hotspot analysis, and models for evaluating traffic superiority and new urbanization levels, we analyzed the balance and spatial distribution characteristics of these two developments and their coupling coordination levels in 88 counties of Guizhou Province (GZP) in 2020. The results indicate that the transportation advantage level in Guizhou’s counties shows a spatial distribution that decreases outward from regions with concentrated high-speed rail and highways. In contrast, the level of new urbanization is constrained by economic development disparities, exhibiting a distinct “dual-core” spatial differentiation with Guiyang’s urban area as the main core and Zunyi and Renhuai as secondary cores. The average and maximum transportation advantage scores are higher than those of new urbanization, and the scores in higher-level development zones are superior to those in lower-level zones. Additionally, transportation advantage shows better balance compared to new urbanization. Both transportation advantage and new urbanization levels exhibit positive spatial autocorrelation, with similar hotspot areas but significantly different coldspot areas. The coordination between transportation advantage and new urbanization is relatively low, with 80.68% of counties not fully leveraging their transportation advantages. Accurately identifying the coordination phase and system state of these factors can provide valuable references for the future development of different counties.

Evaluating corridor development initiatives and their effects in Addis Ababa, Ethiopia

ABSTRACT Corridor development refers to the strategic planning, building, and operation of transportation infrastructure that connects key metropolitan areas within a city. This study aims to assess the effects of corridor development initiatives in Addis Ababa. Data were collected through on-site observations and interviews with key informants from relevant offices, alongside secondary data. Thematic analysis was employed to interpret the data. The study’s findings indicate that corridor development initiatives have decreased traffic congestion, enhanced pedestrian and bicycle access, and improved mobility, making commuting more enjoyable and efficient. Furthermore, it promotes sustainability through improving green spaces, open public areas, and non-motorized transportation infrastructure. Overall, the study found that the corridor development project has significantly boosted the city’s image. Finally, the study recommends using Addis Ababa’s corridor development as a model for urban planning and financial investment in transportation infrastructure, which can enhance the city’s quality of life. Besides, to address the city’s mobility challenges and promote a smart city, the study advocates for implementing integrated transit systems, vehicle sharing, traffic calming measures, and parking fees as part of the city’s ongoing development efforts.

Neural network insights: explainable artificial intelligence (XAI) and hyper-parameter dynamics for precise travel time predictions

Urban transportation systems face increasing challenges due to population growth, urbanization, and dynamic mobility patterns. Accurate travel time prediction is critical for efficient traffic management, urban planning, and transportation infrastructure optimization. This study investigates travel time prediction in urban environments through a two-phase approach combining advanced Artificial Neural Network (ANN) architectures and interpretability techniques. In the first phase, we systematically analyze the impact of ANN architectural depth, width, and key hyper-parameters on predictive accuracy, highlighting the interplay between model configurations and performance. In the second phase, we employ SHapley Additive exPlanations (SHAP) to investigate hyper-parameter-feature interaction, and enhance model transparency. Additionally, an in-depth error and uncertainty analysis for the best-performing model provides insights into residual behavior, prediction intervals, and areas for refinement. The results demonstrate the robustness and adaptability of ANN models in capturing complex spatiotemporal dependencies, while SHAP-based analysis offers actionable insights into feature contributions. Ultimately, this study advances travel time prediction understanding and offers a comprehensive AI framework for urban mobility studies, facilitating the development of precise and adaptive transportation systems.

Planning and layout of tourism and leisure facilities based on POI big data and machine learning.

The spatial arrangement of tourism cities and the strategic placement of tourism and leisure facilities are pivotal to the development of smart tourism cities. The integration of Point of Interest (POI) data, enriched with location-specific insights, holds significant potential for urban planning and the optimization of spatial layouts. This study employs machine learning methodologies to evaluate the suitability of Beijing's main urban area for the introduction of new tourism and leisure facilities. Drawing on POI and demographic data, and considering the distribution patterns of existing tourism and leisure facilities, this research applies machine learning to quantitatively simulate the optimal siting of such amenities. Key findings include: Firstly, compared with the existing tourism and leisure facilities, the fitting degree tested by the machine learning algorithm is 83.5%, suggests that the proposed method is highly feasible. Secondly, the decision-making model, trained with the CART algorithm, reveals that accommodation availability, shopping choices, and transportation infrastructure significantly influence the siting of tourism and leisure facilities in Beijing's urban core. Thirdly, the model training indicates that facilities at various levels in Beijing exhibit a centralized layout, aligned with the city's central axis, with a higher concentration in the urban center than in peripheral regions. The predictive analysis suggests that new tourism and leisure facilities are likely to be concentrated in densely populated areas. Lastly, some areas currently devoid of tourism and leisure facilities are identified as prospective sites for development. It is recommended that these areas be prioritized for the strategic placement. By leveraging machine learning algorithms for facility siting, this study aims to enhance the overall urban layout while mitigating the inherent subjectivity in planning and location decisions, offering valuable insights for the site selection of diverse facilities.

Characterization of Limeira intrusion stones for aggregate use in engineering applications

Major exploitation phases in quarries involve stone fragmentation by blasting and crushing. Considering the nature of stone aggregates and their applications in engineering works, technological characterizations are fundamental to the adequate selection of these stone products. The present work aimed to characterize stones with different compositional, structural, and textural aspects in a quarry belonging to the Limeira Intrusion, state of São Paulo, Brazil. Distinct samples of aphanitic stone (basalt), diabase, and two monzodiorites were collected. Routine technological tests were performed to qualify the stone aggregates, aiming at their use in Portland cement concrete and asphalt pavements, as well as to meet the greater commercial demands for coarse aggregate produced by the local mineral industry and railway ballast. The values obtained in the physical-mechanical tests evidence no limitations to the use of these types of stone in engineering works. Alterability was low, which highlights the suitability of the two varieties of stones predominantly found in the deposit (diabase and medium-grained monzodiorite) for use as railway ballast. Growing demand for crushed stone considering the implementation of important transport infrastructure works in the region. The fines generated in diametral compression tests with fast loading rates were also quantitatively analyzed. An increase in fines was observed related to higher strengths. This behavior is corroborated by the literature and also by field observations. Some restrictions were detected in the reaction tests with binders. In the adhesiveness test of coarse aggregate to bituminous coating, all the stones presented unsatisfactory results, although the basalt presented much less detachment from the asphalt binder. The alkali-aggregate reactivity tests proved that only one monzodiorite is non-reactive, and the other lithotypes have an R1 reactivity level. These results are related to the variation in petrographic characteristics. Therefore, technological studies associated with the geological context in quarries with some lateral and vertical heterogeneity are essential to assist in the selection of stony materials most suitable for more specific commercial demands.