Integrating Vehicle Selection and Local Technical Capability in Low-Technology Development Contexts

Lightweight electric vehicles are increasingly proposed for low-emission logistics, municipal services and decentralised transport tasks. However, their suitability in resource- and technology-constrained development contexts cannot be assessed through vehicle specifications alone. Payload, motor power, range and acquisition cost do not indicate whether a system can be inspected, repaired, charged, documented, supplied, adapted and sustained under local conditions. This article develops an AHP-based socio-technical framework for early-stage selection of modular lightweight electric mobility architectures. The framework evaluates vehicle architecture before propulsion, wheel configuration and project-specific implementation details, linking engineering boundary calculations with criteria for modular maintainability, repairability, supplier independence, documentation and local technical capability. The O-Waste pilot with the Mbolo Association in The Gambia provides the field-informed implementation context for the study, while the proposed framework remains transferable beyond one route, container arrangement or waste quantity. Vehicle selection is treated as a socio-technical engineering decision in which mechanical adequacy and local technical continuity must be considered together. The contribution is a structured decision pathway and circular capability system for identifying lightweight electric mobility configurations that can remain technically appropriate, locally understandable, repairable, supplied and supportable over time.

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Publication Details

Journal
Vehicles
Published
2026-10-07
DOI
https://doi.org/10.3390/vehicles8100248
Primary Topic
Electric Vehicles and Infrastructure
Type
article
Field-Weighted Citation Impact
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article

Integrating Vehicle Selection and Local Technical Capability in Low-Technology Development Contexts

Lázaro V. Cremades, Klaus Kaulicke
Vehicles
Electric Vehicles and Infrastructure
article

Integrating Vehicle Selection and Local Technical Capability in Low-Technology Development Contexts

Lázaro V. Cremades, Klaus Kaulicke
article en

Abstract

Lightweight electric vehicles are increasingly proposed for low-emission logistics, municipal services and decentralised transport tasks. However, their suitability in resource- and technology-constrained development contexts cannot be assessed through vehicle specifications alone. Payload, motor power, range and acquisition cost do not indicate whether a system can be inspected, repaired, charged, documented, supplied, adapted and sustained under local conditions. This article develops an AHP-based socio-technical framework for early-stage selection of modular lightweight electric mobility architectures. The framework evaluates vehicle architecture before propulsion, wheel configuration and project-specific implementation details, linking engineering boundary calculations with criteria for modular maintainability, repairability, supplier independence, documentation and local technical capability. The O-Waste pilot with the Mbolo Association in The Gambia provides the field-informed implementation context for the study, while the proposed framework remains transferable beyond one route, container arrangement or waste quantity. Vehicle selection is treated as a socio-technical engineering decision in which mechanical adequacy and local technical continuity must be considered together. The contribution is a structured decision pathway and circular capability system for identifying lightweight electric mobility configurations that can remain technically appropriate, locally understandable, repairable, supplied and supportable over time.

VehiclesVol. 8(10)
Munich University of Applied Sciences (DE), Universitat Politècnica de Catalunya (ES)
Openalex Percentile: Top 22%
Electric Vehicles and Infrastructure
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Integrating Vehicle Selection and Local Technical Capability in Low-Technology Development Contexts — Lázaro V. Cremades, Klaus Kaulicke · Vehicles (2026) | TGRS Research Map | TGRS