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Journal of Urban Development and Management
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Journal of Urban Development and Management (JUDM)
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ISSN (print): 2957-9589
ISSN (online): 2957-9597
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2026: Vol. 5
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Journal of Urban Development and Management (JUDM) is a peer-reviewed, open-access journal publishing research on the planning, governance, development, and management of cities and urban regions. The journal focuses on the relationships among spatial development, infrastructure, public services, environmental conditions, and institutional decision-making. Its scope covers urban planning and land use, infrastructure management, housing and regeneration, transportation and accessibility, urban environment and resilience, urban governance, economic and social development, and urban modelling and decision support. JUDM welcomes theoretical, empirical, and computational studies that offer clear implications for urban policy, planning practice, project delivery, resource allocation, or management. JUDM is published quarterly by Acadlore, with issues released in March, June, September, and December.

  • Professional Editorial Standards - Manuscripts that pass initial editorial assessment undergo independent double-blind peer review before an editorial decision is made.

  • Efficient Publication - The journal follows a defined review, revision, and production workflow to support the timely processing and regular publication of accepted manuscripts.

  • Open Access - All articles published in JUDM are freely available online without subscription or access fees.

Editor(s)-in-chief(2)
aleksandar stevanovic
Department of Civil and Environmental Engineering, University of Pittsburgh, United States
stevanovic@pitt.edu | website
Research interests: Urban Traffic Management; Smart Urban Mobility; Intelligent Transportation Systems; Urban Traffic Control and Optimization; Multimodal and Sustainable Urban Transportation; Transportation Simulation and Digital Twins; Data-Driven Urban Transportation Decision Support
guangdong wu
School of Public Policy and Administration, Chongqing University, China
gd198410@cqu.edu.cn | website
Research interests: Urban Development and Management; Urban Governance; Urban Network Governance; Public Project Governance; Sustainable Urban Development; Urban Resilience; Project Management

Aims & Scope

Aims

Journal of Urban Development and Management (JUDM) is an international, peer-reviewed, open-access journal devoted to the planning, governance, development, and management of cities and urban regions. The journal publishes research on how spatial development, infrastructure systems, public services, environmental conditions, institutional arrangements, and social and economic change shape urban performance, development outcomes, and quality of life.

Cities are shaped by the interaction of land development, infrastructure provision, public services, environmental conditions, economic activity, and institutional decision-making. Rapid urbanisation, demographic change, climate risk, technological development, and unequal access to urban resources have made the coordination of these elements increasingly important. JUDM therefore provides a forum for research that explains how urban change is planned, implemented, governed, evaluated, and managed across neighbourhood, city, metropolitan, and city-region scales.

JUDM places particular emphasis on the relationship between urban change and the planning, governance, project delivery, resource allocation, and management processes through which such change is directed. The journal welcomes studies of land use, housing, transportation, infrastructure, regeneration, urban ecology, public services, resilience, and local economic development when they identify clear implications for urban policy, planning practice, development strategy, project implementation, or management.

JUDM addresses both the processes through which urban areas change and the institutional and managerial responses to that change. Particular attention is given to the relationships among physical urban systems, public institutions, communities, development actors, and the decisions through which urban resources are allocated and managed. Research on peri-urban development, urban–rural transition, and regional transformation is also considered when it demonstrates a direct connection to urban development, city-region planning, or the management of urbanisation.

Recognising that urban conditions differ across countries, regions, and stages of development, the journal welcomes comparative research and place-based studies from both developed and emerging economies. Relevant contexts include rapidly urbanising regions, shrinking cities, peri-urban territories, metropolitan areas, and places undergoing industrial, demographic, spatial, or environmental transition. Studies based on a single city, community, or development project should explain the wider relevance of the case and clarify what can be learned beyond the immediate study area.

Contributions may be theoretical, empirical, spatial, computational, or integrative. JUDM welcomes original research articles, review articles, and short communications employing qualitative, quantitative, or mixed methods. Regardless of approach, manuscripts should define the urban problem clearly, justify the research design, present evidence transparently, and explain the implications of the findings for urban planning, governance, project delivery, public policy, resource allocation, service provision, or management.

Submissions should extend beyond descriptive accounts of local conditions, routine applications of established techniques, or technical analyses detached from urban decision-making. The use of a particular model, algorithm, or analytical method does not by itself establish relevance to the journal. Manuscripts should make an identifiable contribution to the understanding or management of urban development and should interpret their findings in relation to the spatial, institutional, environmental, economic, or social context of the research.

JUDM is published by Acadlore. Manuscripts that pass initial editorial assessment undergo double-blind peer review to evaluate their scholarly soundness, methodological quality, relevance to the journal, and clarity of presentation.

Key features of JUDM include:

  • The journal examines how urban change is planned, implemented, governed, evaluated, and managed.

  • It addresses the interaction of land use, infrastructure, housing, mobility, public services, environmental systems, economic development, and institutional decision-making.

  • It covers neighbourhood, city, metropolitan, city-region, peri-urban, and urban–rural transition contexts.

  • Contributions should identify clear implications for urban policy, planning practice, project delivery, resource allocation, service provision, or management.

  • Both comparative and place-based studies are considered, provided that their wider analytical or practical relevance is clearly explained.

  • Particular attention is given to transparent methods, appropriate use of evidence, explicit treatment of spatial and institutional context, and conclusions supported by the results.

Scope

JUDM welcomes original research articles, review articles, and short communications in areas including, but not limited to, the following:

Urban Planning, Spatial Development, and Land Use

Research examining the spatial organisation, physical growth, and planned development of cities and urban regions.

  • Urban growth, spatial restructuring, and development patterns

  • Land-use planning, zoning, and development control

  • Urban expansion, densification, compact development, and peri-urbanisation

  • Mixed land use, functional distribution, and spatial accessibility

  • Metropolitan planning and city-region development

  • Urban–rural linkages and regional spatial transformation

  • Spatial inequality and uneven urban development

  • Planning implementation, evaluation, and institutional coordination

  • Land-use conversion, urban sprawl, and development pressure

  • Relationships between spatial planning and public investment

Urban Governance, Policy, and Public Management

Studies addressing the institutions, policies, administrative arrangements, and decision processes through which urban development is directed and managed.

  • Urban governance and institutional capacity

  • Municipal management and urban public administration

  • Planning law, development regulation, and regulatory implementation

  • Intergovernmental relations and metropolitan coordination

  • Participatory planning and collaborative governance

  • Community engagement and co-production of urban services

  • Evidence-informed urban policy and decision-making

  • Urban finance, municipal budgeting, and public investment

  • Monitoring and evaluation of urban policies and programmes

  • Accountability, administrative performance, and institutional reform

Urban Development Projects and Infrastructure Management

Research on the planning, financing, delivery, operation, and management of urban development projects and infrastructure systems.

  • Urban development project planning and delivery

  • Infrastructure investment and asset management

  • Public–private partnerships and development finance

  • Project governance and stakeholder coordination

  • Project risk, cost, schedule, and performance management

  • Sustainable construction in urban development

  • Water supply, drainage, wastewater, sanitation, and waste infrastructure

  • Urban energy infrastructure, digital infrastructure, and infrastructure supporting public services

  • Infrastructure accessibility, reliability, and service equity

  • Coordination between infrastructure provision and land development

  • Life-cycle management and maintenance of urban assets

  • Management of large-scale urban redevelopment and infrastructure programmes

Housing, Neighbourhood Change, and Urban Regeneration

Studies examining housing systems, neighbourhood transformation, redevelopment, and the consequences of urban regeneration.

  • Housing supply, affordability, tenure, and accessibility

  • Housing policy and housing-market regulation

  • Informal settlements and incremental urban development

  • Neighbourhood planning and community development

  • Urban renewal, redevelopment, and regeneration

  • Brownfield and abandoned-site redevelopment

  • Gentrification, displacement, and residential segregation

  • Ageing neighbourhoods and declining urban areas

  • Heritage conservation, adaptive reuse, and heritage-led regeneration

  • Rural housing transformation within urban–rural integration

  • Social and economic effects of redevelopment programmes

Transportation, Accessibility, and Land-Use Interaction

Research examining the relationships among mobility, accessibility, urban form, infrastructure investment, and land development.

  • Transportation and land-use integration

  • Transit-oriented development

  • Public transport planning and management

  • Walking, cycling, and active mobility

  • Travel behaviour and accessibility assessment

  • Mobility inequality and transport disadvantage

  • Parking, street-space allocation, and transport demand management

  • Shared and emerging mobility services in urban contexts

  • Impacts of transportation investment on urban form and land value

  • Coordination of transport infrastructure and urban development

  • Station-area development and transport-related regeneration

  • Regional mobility and metropolitan transport governance

Urban Environment, Climate Resilience, and Public Health

Studies of environmental conditions, ecological systems, climate risks, and public health where they are directly connected to urban planning, development, or management.

  • Urban ecology and biodiversity

  • Green and blue infrastructure

  • Urban forests, parks, and ecological networks

  • Urban water environments and watershed management

  • Pollution exposure and environmental quality in cities

  • Urban heat, microclimate, and thermal environments

  • Resource efficiency and circular urban systems

  • Ecosystem services in urban planning

  • Environmental justice and unequal exposure to environmental risks

  • Climate adaptation and urban resilience planning

  • Flood, heat, drought, storm, and coastal risk management

  • Disaster preparedness, emergency planning, and post-disaster recovery

  • Urban sanitation, environmental health, and healthy-city planning

  • Infrastructure vulnerability and continuity of urban services

Urban Economy, Social Equity, and Community Development

Research addressing the economic and social dimensions of urban development and the distribution of urban resources and opportunities.

  • Urban economic development and structural transformation

  • City competitiveness, innovation, and entrepreneurship

  • Employment accessibility and the spatial distribution of economic activity

  • Industrial relocation and urban economic restructuring

  • Development zones, business districts, and innovation districts

  • Land value, development incentives, and urban investment

  • Culture, tourism, and event-led urban development

  • Urban poverty, exclusion, and spatial justice

  • Access to housing, transportation, education, health care, and public space

  • Demographic change, migration, and population ageing

  • Community cohesion, neighbourhood well-being, and social capital

  • Inclusive urban development and support for vulnerable populations

  • Local development strategies and place-based economic policy

Urban Design, Public Space, and the Built Environment

Research examining how urban form and the design and management of the built environment affect urban function, accessibility, identity, and everyday use.

  • Urban form, density, and spatial configuration

  • Public-space design, use, and management

  • Streetscape quality and pedestrian environments

  • Inclusive and age-responsive urban design

  • Landscape planning and landscape architecture in cities

  • Built-environment quality and urban liveability

  • Urban design regulation and design governance

  • Relationships between physical design, social activity, and place identity

  • Cultural memory and heritage in urban development

  • Design strategies supporting urban regeneration and climate adaptation

Architectural and design studies should establish clear implications at the neighbourhood, city, or urban-management level. Studies concerned solely with the design of an individual building, without a wider urban development question, are outside the journal’s primary scope.

Urban Data, Modelling, and Decision Support

Methodological studies that make a substantive contribution to the analysis, planning, or management of urban development.

  • Geographic information systems and spatial analysis

  • Remote sensing of urban growth and land-use change

  • Urban simulation, scenario analysis, and forecasting

  • Spatial statistics and urban network analysis

  • Urban indicators, benchmarking, and performance assessment

  • Digital twins and urban data platforms

  • Participatory mapping and volunteered geographic information

  • Multi-criteria analysis and decision-support methods for urban policy

  • Optimisation and resource-allocation models in urban management

  • Data-informed evaluation of urban interventions

  • Machine learning and predictive modelling for urban applications

  • Uncertainty, sensitivity, and robustness analysis in urban models

Methods such as machine learning, optimisation, simulation, remote sensing, geographic information systems, and multi-criteria analysis fall within the journal’s scope when they are used to investigate a clearly defined urban development or management problem. The use of a computational method or technical model alone does not establish suitability for JUDM.

Studies centred exclusively on architectural design, structural or construction engineering, environmental processes, transportation technology, energy equipment, computer algorithms, or general public administration are normally outside the journal’s scope unless they demonstrate a direct and substantive contribution to urban planning, spatial development, infrastructure management, project delivery, urban governance, or public policy.

Articles
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Rapid urbanization and the expansion of artificial intelligence, digital platforms, connected infrastructure, and automated public services are reshaping how urban governments plan, coordinate, and deliver public services. In Indonesia, selecting an appropriate digital governance strategy remains challenging because expected service improvements must be considered alongside digital inclusion, public trust, algorithmic fairness, institutional capacity, environmental resilience, privacy risks, and implementation costs. This study investigates how alternative digital urban governance strategies can be evaluated within a transparent multi-criteria decision-support framework. Ten candidate strategies were evaluated against fifteen technical, social, institutional, environmental, and economic criteria using constructed role-based picture fuzzy assessments. Mutual information (MI) was applied to identify overlapping criteria and reduce redundancy, after which the Logarithmic Percentage Change-driven Objective Weighting (LOPCOW) method was used to derive objective criterion weights. Ranking Comparison (RANCOM) weights were then generated from the LOPCOW-based criterion ordering and combined with the objective weights before the alternatives were ranked using the Measurement of Alternatives and Ranking according to Compromise Solution (MARCOS) method. Ranking robustness was examined through parameter sensitivity analysis, 10,000-run Monte Carlo simulations, and comparisons with seven established multi-criteria decision-making (MCDM) methods, including the Technique for Order Preference by Similarity to Ideal Solution (TOPSIS), VIseKriterijumska Optimizacija I Kompromisno Resenje (VIKOR), Multi-Objective Optimization on the Basis of Ratio Analysis (MOORA), Multi-Attributive Border Approximation Area Comparison (MABAC), Weighted Aggregated Sum Product Assessment (WASPAS), Evaluation based on Distance from Average Solution (EDAS), and Additive Ratio Assessment (ARAS). The results showed that mobile-first public services for remote and island communities ranked first, with a MARCOS appraisal score of 0.734412, followed closely by citizen participation and e-consultation at 0.723203. Privacy-preserving urban data exchange ranked third at 0.686119. The leading strategy remained stable across the tested parameter settings within the proposed MARCOS framework, although alternative weighting and ranking specifications produced greater variation in the identity of the first-ranked strategy. This result, together with the narrow gap between the two highest-ranked alternatives, indicates that local priorities, assessment inputs, and modelling choices can materially influence the final decision. The findings demonstrate that the proposed framework provides a traceable basis for comparing competing digital urban governance strategies while making the assumptions, trade-offs, and uncertainty underlying the ranking explicit. The approach offers urban authorities a structured decision-support tool for planning inclusive, accountable, resilient, and institutionally feasible public-service transformation.
Open Access
Research article
Morphology-Aware Identification of Shared Bicycle Parking Hotspots for Urban Public-Space Management: Evidence From Guangzhou
dexin wu ,
liang zhang ,
yi dou ,
minxian yuan ,
yuejiang su ,
xiaoyu li ,
lei pan ,
liuhua zhang ,
nanfeng zhang
|
Available online: 09-28-2026

Abstract

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The rapid expansion of dockless shared bicycle systems creates persistent challenges for parking management and the efficient use of urban public space, particularly around transport hubs and major commuting corridors. Conventional hotspot-identification methods mainly indicate where parking demand is concentrated but provide limited information on the spatial form and potential public-space impact of bicycle accumulation. This study develops a morphology-aware framework using shared bicycle order and trajectory data from Guangzhou. After removing operational repositioning events, dense parking cores were extracted through grid-based connected components. Principal component analysis and robust spread measures were then used to quantify cluster orientation, length–width ratio, and bandwidth. Road proximity and orientation consistency were incorporated to distinguish roadside-band (RB), intersection-corner (IC), designated-parking-area-like (DPA), and scattered points (SP) morphologies. Short-duration demand surges during morning and evening peaks were identified separately and combined with high demand and band-shaped morphology to screen priority governance locations. Analysis of 6.902 million orders identified 27,687 dense parking cores, with the top 1% accounting for 43.7% of within-cluster orders. Band-shaped clusters represented 13.4% of all cores but accounted for 32.1% of orders. Among 26,142 strictly classified cores, RB clusters accounted for 3.23%, and only 21.8% were aligned within 30° of adjacent roads, indicating that oblique and multi-row occupation was more common than simple linear roadside parking. Among 1,842 high-demand cores, 320 showed morning-peak surges and 80 evening-peak surges. High-demand locations within 200 m of metro entrances recorded 1.7 times the mean order volume of those outside the metro buffer. The combined surge–demand–morphology criterion identified 240 priority governance points, 64.6% near arterial or sub-arterial roads and 50.0% near designated parking facilities. The findings show that parking pressure is shaped by both demand intensity and accumulation morphology, providing a practical basis for differentiated parking management, pre-peak dispatch, and improved use of urban public space.

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Urban development and management (UDM) plays a central role in addressing the environmental, social, and governance challenges associated with rapid urbanization. Although bibliometric studies have examined specific areas of urban research, the broader intellectual structure and long-term thematic development of UDM remain fragmented across multiple research streams. This study investigates the evolution, knowledge structure, and emerging research directions of UDM through a large-scale bibliometric and science-mapping analysis. A dataset of 40,435 journal articles and reviews published between 1925 and 2025 was retrieved from Scopus and analyzed following the Scientific Procedures and Rationales for Systematic Literature Reviews (SPAR-4-SLR) protocol. Performance analysis, co-citation analysis, bibliographic coupling, keyword co-occurrence analysis, and thematic mapping were conducted using bibliometrix and VOSviewer. The results showed a marked acceleration in research output, with 45.9% of all documents published during 2021–2025. The dataset accumulated 1,285,702 citations, averaging 31.8 citations per document. China recorded the largest publication output (9,309 documents), whereas the United States received the highest total citations (348,371) and h-index (223). Journal co-citation patterns revealed a multidisciplinary knowledge base centered on environmental and water sciences, while country-level bibliographic coupling showed a core–periphery structure organized around China, the United States, and Europe. Sustainable development and urban planning emerged as broad foundational themes, whereas water management occupied a central and well-developed position. The science-mapping results further identified climate adaptation, blue–green infrastructure, nature-based solutions, and digitally enabled urban management as prominent recent research directions. These findings demonstrate how UDM has developed from a predominantly planning- and growth-oriented field into a multidisciplinary research domain increasingly concerned with environmental limits, climate resilience, and data-supported urban governance. The study provides an integrated knowledge map of UDM and identifies research priorities concerning the Global South, sustainability measurement, blue–green infrastructure, climate–health interactions, digital urban management, circular urban systems, and urban governance.

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Urban and regional transport authorities need reliable methods to identify road sections where traffic exposure and crash outcomes indicate comparatively unfavorable safety performance, particularly when planning and infrastructure-management resources are limited. This study investigates how inverse data envelopment analysis (DEA) can support the comparative assessment and prioritization of two-lane road sections for road safety-oriented transport planning and infrastructure management. Twelve main road sections within the jurisdiction of the East Sarajevo Police Administration were analyzed using data from 2019–2023. Annual average daily traffic (AADT) was used to represent traffic exposure, while the average annual numbers of fatal, serious-injury, and slight-injury crashes were used as adverse safety outcomes. A Charnes–Cooper–Rhodes (CCR) model-based inverse DEA framework was applied to determine the relative position of each road section against an empirically defined efficiency frontier. A constrained radial scenario was then used to estimate reference values for the three crash-severity indicators while keeping AADT unchanged. The results showed that two road sections formed the relative efficiency frontier, while substantial differences were observed among the remaining sections. The two least favorable sections deviated from the reference level by more than 91%, whereas another section was only 2.40% below the frontier. These findings indicate that the proposed framework can distinguish between road sections requiring different levels of planning attention rather than relying on a simple efficient–inefficient classification. The approach provides a transparent decision-support tool for urban and regional transport planning, helping authorities screen road sections, direct detailed road-safety assessments, and support the sequencing of maintenance, reconstruction, and infrastructure-improvement activities.

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Digital public service delivery is an increasingly important component of local governance, yet substantial disparities persist in the capacity of provincial governments to provide effective mobile government services. Understanding how institutional environments interact with internal organizational resources is therefore essential for explaining uneven digital service performance across jurisdictions. This study investigates the configurational mechanisms through which institutional pressure and organizational support shape mobile government service capacity across Chinese provinces. An analytical framework combining coercive, mimetic, and normative pressures with technical, financial, and leadership support was developed, and fuzzy-set qualitative comparative analysis (fsQCA) was conducted using data from 31 provincial governments. The results showed that no single antecedent condition was necessary for high mobile government service capacity. Five configurations leading to high capacity were identified and grouped into three pathways: a coercive-pressure-led pathway, a mimetic/normative-pressure-driven pathway, and a three-pressure-linkage pathway. The overall solution consistency and coverage reached 0.885 and 0.631, respectively. Technical support was present across all five high-capacity configurations, while the joint absence of technical support and mimetic pressure characterized the core conditions associated with low capacity. Cross-pathway comparisons further revealed potential substitution between leadership support and combinations of normative pressure and financial support under different institutional conditions. The findings demonstrate that strong mobile government service capacity emerges from multiple combinations of external institutional pressures and internal organizational support rather than from any single governance condition. The study extends configurational explanations of digital governance and provides practical insights for provincial and local authorities seeking to align institutional demands, organizational resources, and digital public service provision.

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Road-safety management in data-constrained settings is complicated by the uneven temporal and geographic availability of official records. This study conducts a two-scale Geographic Information System (GIS)-based analysis of road traffic safety in Libya by combining a detailed nationally disaggregated historical baseline with recent national statistics and a longitudinal comparison of Tripoli. Official annual reports for 2016 and 2017 were used to examine national change, spatial divergence among reporting jurisdictions, spatial concentration, and broad geographic patterns of crash frequency and severity. More recent Ministry of Interior statistics provide a national benchmark for 2024 and the first half of 2025, while complete 2025 statistics released by the Tripoli Security Directorate permit a descriptive comparison of the capital across widely separated years. Nationally, recorded crashes fell by 7.0% and recorded deaths by 14.7% between 2016 and 2017, although several jurisdictions moved in the opposite direction. The concentration of recorded crashes and deaths across jurisdictions increased, and the pooled severe-crash share displayed significant positive spatial autocorrelation. The recent national benchmark reported 9,916 recorded crashes and 2,441 deaths in 2024; the first two quarters of 2025 together account for 4,952 crashes and 1,279 deaths. In Tripoli, total recorded crashes increased from 657 in 2016 and 631 in 2017 to 1,628 in 2025, whereas fatal crashes and deaths remained close to their historical levels. Consequently, the fatal-crash share fell from 37.3% and 34.5% to 13.8%. The decline in fatal-crash share may partly reflect changes in reporting practices, traffic exposure, classification or jurisdictional boundaries. The findings support a tiered approach to road-safety assessment in which national spatial screening is combined with current urban monitoring and more consistent geocoded crash-data systems.

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Abnormal industrial wastewater discharge into urban sewer networks can disrupt the operation of wastewater treatment plants (WWTPs) and increase pollution risks to receiving water bodies. However, large-scale deployment of total phosphorus (TP) chemical monitoring at numerous sewer nodes is costly and difficult to maintain for high-frequency data acquisition, limiting rapid anomaly identification and source tracing. This study develops a hierarchical online monitoring and spatiotemporal tracing framework using the service area of the Xiani WWTP in Dongguan, China, as a case study. The study area was divided into six monitoring zones and 169 drainage blocks, with 57 online monitoring stations deployed at trunk and branch/secondary pipelines. Class-A stations directly monitored TP, while Class-B stations continuously monitored electrical conductivity (EC), pH, and liquid level. A “plant–network–zone–block–source” association framework was established by integrating pipe network topology, flow direction, and estimated travel time. Random forest-based contribution analysis, Fréchet distance trajectory matching, and Bayesian-Markov Chain Monte Carlo (MCMC) inference were combined to progressively rank candidate nodes, drainage blocks, and discharge sources. Results showed a moderate positive correlation between TP and EC (Spearman’s $\rho$ = 0.50, $p$ $<$ 0.05, $n$ = 116), indicating that EC can serve as an auxiliary indicator for screening phosphorus-containing industrial wastewater inputs but cannot replace direct TP measurement. In two verified abnormal discharge events, EC changes at Station 19B and Station 17B preceded TP anomalies at the WWTP influent by approximately 4 h and 6 h, respectively, consistent with estimated flow travel times. Field investigations further identified abnormal industrial wastewater discharge clues in the corresponding areas. Following targeted inspections, enterprise rectification, and enforcement actions, TP concentration at the A-Dapu Station decreased by 50%. The study demonstrates that the proposed hierarchical monitoring and multi-model tracing framework can progressively narrow anomaly investigation from the WWTP service area to candidate pipelines, drainage blocks, and discharge sources, supporting abnormal discharge screening and digital drainage management in industrially dense urban areas.

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Natural disasters frequently disrupt transport infrastructure and restrict access to affected communities, making the timely delivery of humanitarian aid a major challenge for disaster management. Selecting a suitable multimodal transport solution requires decision-makers to balance delivery time, cost, infrastructure availability, reliability, safety, flexibility, and capacity. This study investigates the selection of a resilient multimodal transport solution for humanitarian aid delivery under disaster-induced infrastructure disruptions in Bosnia and Herzegovina. An integrated Full Consistency Method (FUCOM) and Measurement of Alternatives and Ranking according to Compromise Solution (MARCOS) model was applied to a case involving the delivery of humanitarian aid from the Armed Forces logistics base at Rajlovac Barracks to Donja Jablanica following the floods and landslides of October 2024. The FUCOM was used to determine the weights of seven evaluation criteria, and the MARCOS method was employed to rank five transport alternatives. Delivery time received the highest weight (0.236), followed by transport system reliability and resilience (0.184) and safety (0.154). The results showed that the integrated road–rail–air alternative achieved the highest utility value (0.7309), narrowly exceeding direct air transport (0.7151). A sensitivity analysis covering 70 weight-variation scenarios showed that the leading alternatives retained stable positions across nearly all scenarios. The findings indicate that integrated multimodal transport can provide a resilient response when individual transport links are disrupted or unavailable. The proposed model offers a transparent decision-support framework for transport planning, infrastructure contingency assessment, and humanitarian logistics management during natural disasters.

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