Increased occurrence of road traffic crashes in Kano metropolis has resulted in a steady loss of lives, injuries, and increased people's risk exposure. This study looked into the emergency response to road traffic crashes in Kano, with a view to improving efficiency by developing linkages and synergy between Emergency Healthcare Facilities (EHCF), ambulances, and crash hotspots. The geographical location and attributes of the major EHCF, crash hotspots along highway intersections, and the two existent ambulances at the Kano State Fire Service (KSFS) and Federal Road Safety Corp head offices (FRSC) were obtained using GPS surveying. Road traffic network data (vector format) was digitized from satellite image, from which two major road classes (highways and minor roads) were identified, as well as their respective speed limits. The length and speed constraints were used to calculate time distances. Nearest Neighbor and Network (closest facility, shortest route, and location-allocation) analyses were carried out. Location-allocation analysis was to determine based on defined criteria the best locations to allocate EHCF or ambulance for optimum coverage. The results demonstrated that EHCF, ambulances, and crash places have different distribution patterns with almost no linkages. Closest ambulance facility analysis revealed the FRSC ambulance takes 9.41 minutes to arrive to crash spot 18 (Maiduguri Road, following NNPC) and 7.52 minutes to arrive at AKTH, the nearest EHCF. Comparatively, getting to Court road incident scene (spot 16) and IRPH as the closest EHCF takes about 3 times the time it takes to get to spot 18 and 4 times the time it takes to get to AKTH. This means that practically almost all victims in the city suffocate before reaching to the hospital. This signifies that, in cases of demand for CPR at the incident scene, there are higher likelihood of dying as it is expected to be provided within the first four minutes after the crash. Based on a maximum of 4 minutes impedance cutoff from all directions towards the occurrences areas, location-allocation analysis found eight new locations to maximize coverage and improve efficiency. It is concluded that current road traffic crash emergency response system has been determined to be ineffective. As a result, more ambulances should be strategically placed to improve emergency response times.

Inadequate fire emergency response infrastructure and a lack of defined service coverage remain key barriers to timely fire disaster response. This study is applied research which employed geospatial techniques and aimed at examining fire disaster emergency response demand and supply relationships with the view to delineating service coverage and locating more facilities for optimum coverage in Kano metropolis. Locations of the existing fire stations and fire incidents (2009-2019) were gathered through GPS surveying. Network data set were generated. Nearest Neighbor and Network Analysis (origin-destination, service coverage and location-allocation) were conducted to determine emergency response demand and supply relationships, service coverage area delineation and identifying best site for allocating new facilities within the metropolis respectively. It was found that no clearly defined service coverage exist as emergency response supply takes more than 4-8 times the NFPA travel standard, and with a great deal of overlapping response patterns. New service coverage areas were proposed and best sites for 8 firefighting facilities identified for optimum coverage. It is concluded that emergency fire disaster response demand and supply relationships within Kano metropolis is imbalanced, with extensive recurrent demand especially within the core area served by overstretched and inefficient response supply. This, therefore, implies continuous exposure of lives and properties to the menace of fire disaster in Kano metropolis. Keywords: Fire Facilities; Location-allocation; Response Demand; Response Supply; Service Coverage Copyright (c) 2023 Geosfera Indonesia and Department of Geography Education, University of Jember This work is licensed under a Creative Commons Attribution-Share A like 4.0 International License

Despite the substantial body of knowledge available regarding the nexus between climate and conflict, this knowledge remains scattered, fragmented and incomplete. There are various interpretations of how this nexus plays out, as well as different perspectives on the spectrum of " climate conflict " in fragile and conflict-affected areas. This is particularly the case in the Lake Chad region, an area that is often portrayed as a unique "testbed" for understanding climate conflict relations. This study systematically mapped and analysed published work on the nexus of climate and conflict, synthesising narratives and unpacking evidence on what we know, do not know and need to know about the nexus in the Lake Chad region. Our findings outline six key areas of knowledge that provide evidence on the nexus, including (i) how the nexus has evolved with the ongoing increase in regional climatic stress where temperatures are rising 1.5 times faster than the global average, (ii) whether studies link climatic events to different stages of the conflict cycle or the conflict continuum, and (iii) whether climatic events also introduce new forms of conflict along the conflict continuum. We note that studies failed to ask how fragility (assessed in terms of lack of state legitimacy, capacity and authority) shapes group identity/solidarity and spatiotemporal variations in climate-conflict nexus patterns and impacts. We suggest that the spectrum of what is considered " climate conflict " be expanded, paying particular attention to the continuum (including phases and cycles) of conflict and how different conflict types interact and reinforce one another under climate shocks. Ultimately, knowledge co-creation can help integrate fragmented evidence about the nexus, fostering a unified, coherent and verifiable body of knowledge that can support joint climate and peace initiatives and wider transformative change across the region.

This study revisits and updates the Response Delay Model (RDM) to address the critical issue of delays in urban fire disaster emergency responses. This model aims to streamline response times, ensuring faster and more efficient emergency interventions in urban settings. The objective is to improve the effectiveness of urban fire disaster response systems by systematically identifying, quantifying, and addressing the key delay factors that occur throughout the response process. The research identifies gaps and synthesises current knowledge on fire disaster response through a systematic review of existing literature, including empirical studies and theoretical models. The RDM is a novel model that categorises delays into pre-notification and intra-reflex sequence delays. It introduces metrics to quantify these delays and proposes strategies for mitigation, emphasizing the critical stages where interventions can reduce response delay times. The model's application is to enhance the efficiency and effectiveness of urban fire disaster management, ultimately reducing the resultant impact on lives, property, and economic losses. It is recommended that emergency response agencies utilize this model to pinpoint critical stages of delay, enabling targeted interventions to reduce response delay times and enhance urban fire disaster response efficiency.

In many Nigerian states, urban flooding has resulted into the death of numerous people and destruction of properties worth billions of Naira. This study examined the vulnerability dynamics and urban flood hazardscape pattern within Gombe city with a view to providing bases for policy formulation (where necessary), enforcement and decision making on flood risk reduction for enable sustainable urban development. ASTER DEM and Landsat images (2000, 2010 and 2019) was used to generate Digital Terrain Model (DTM) and impervious surface areas. Rainfall data for 2000-2018 was used to examine rainfall trend using regression analysis. The result revealed that flood hazardscape and vulnerability dynamics are largely influenced by physical and social factors. The results for vulnerability dynamics shows that as at 2000, about 1.4km² lies on the relatively low vulnerable area,4.1km²falls within the moderate, and about 14.6km² falls on critical area. By 2010, only about 1km² lies on the relatively low area, 5.2km² occupied the moderate and about 15km²was found within the critically vulnerable area. In 2019, the vulnerability dynamics depicts that about 33.4km², impervious surface (builtup area) existed, out of which 2.8km² lies on the low vulnerable area, 9.4km² on the moderately vulnerable and 21.2km² in critically vulnerable areas. It is concluded that flood hazardscape and vulnerability dynamics in Gombe city is influenced by both physical and anthropogenic factors. It is recommended that planning departments should put into consideration urban flood hazardscape maps for future development so as to reduce the risk and control future exposure flood impact. Keywords : Impervious surfaces; Feature extraction; Hazardscape; Urban flood; Vulnearbility dynamics Copyright (c) 2022 Geosfera Indonesia and Department of Geography Education, University of Jember

This study explores how demystifying Earth Observation (EO) through co-creation pathways and local language can enhance flood resilience and environmental governance in African informal cities. Using case studies from Maiduguri and Hadejia, Nigeria, the research employed a transdisciplinary mixed-methods design combining rapid evidence assessment, surveys, participatory workshops (n = 50 stakeholders) integrating simplified Sentinel-1/2 demonstrations, indigenous knowledge mapping, and pre-/post-engagement surveys on EO familiarity. Non-expert participants were trained to interpret satellite data using local language, linking distant teleconnections with local flood experiences. The findings revealed significant gains in EO literacy and improvements in interpretive confidence, gender-inclusive participation, and policy engagement. Localizing the curriculum enabled participants to translate technical EO concepts into locally meaningful narratives, fostering cognitive empowerment and practical application in flood preparedness and advocacy. The study demonstrates that data democratization is not only a matter of open access but also of open understanding. It advances a conceptual model linking Demystification, Literacy, Empowerment, Co-Production and Resilience, positioning EO as a social technology that bridges scientific and indigenous knowledge systems. The findings contribute to debates on decolonizing environmental science and propose a potential participatory framework for integrating EO into community-based adaptation, legal accountability, and policy reform across Africa’s rapidly urbanizing landscapes.