Next Article in Journal
Urban Mobility and Socio-Environmental Aspects in David, Panama: A Bayesian-Network Analysis
Next Article in Special Issue
Decentralized Renewable Energy and Socioeconomic Disparities
Previous Article in Journal
Every Pixel You Take: Unlocking Urban Vegetation Insights Through High- and Very-High-Resolution Remote Sensing
Previous Article in Special Issue
Natural Ventilation Technique of uNVeF in Urban Residential Unit Through a Case Study
 
 
Font Type:
Arial Georgia Verdana
Font Size:
Aa Aa Aa
Line Spacing:
Column Width:
Background:
Article

Analysis of Exposure to ALAN (Artificial Light at Night) in the Urban Space of Madrid and Toledo (Spain) and Its Impact on Human Circadian Rhythms: “Circadian Neurolighting”

by
Nubi Leon Martinez
1,2,3,* and
Mercedes Valiente Lopez
1,*
1
Escuela Técnica Superior de Edificación, Universidad Politécnica de Madrid, 28040 Madrid, Spain
2
Illumination Engineering Society, 120 Wall St Floor 17, New York, NY 10005, USA
3
Academy of Neuroscience for Architecture, San Diego, CA 92037, USA
*
Authors to whom correspondence should be addressed.
Urban Sci. 2025, 9(9), 386; https://doi.org/10.3390/urbansci9090386
Submission received: 25 April 2025 / Revised: 23 July 2025 / Accepted: 30 July 2025 / Published: 22 September 2025

Abstract

This research explores the visual and non-visual (circadian) perception of light in humans and their brain responses in the urban spaces of two contrasted cities: Madrid and Toledo, in Spain. Lighting has been demonstrated to induce the synthesis of neurotransmitters, which can function as regulators or disruptors of our biological system, causing diseases due to the alteration in our circadian rhythms; these responses are contingent upon the technical properties of the lighting (type of incidence, intensity, colour temperature, and primarily, wavelength), as well as the time and duration of exposure. In Madrid, we analyse Gran Vía, an iconic and busy avenue with high commercial and touristic activity. This has resulted in an excess of illumination, which has a notable impact on the night environment and, in particular, on the biology of the human beings who transit and inhabit these areas. In contrast to Toledo—a small, protected city (a UNESCO World heritage site since 1986) that has maintained a low population density, controlled commercial areas, and a low level of urban lighting at night—Madrid represents an opposite situation. In Madrid, measurements of both lux and light spectrum were taken to demonstrate the excessive light incidence, along with the high emission of short-wavelength light produced by LED screens, which, at night, disrupt our circadian cycle. This paper demonstrates how artificial light at night (ALAN) affects human circadian rhythms. Furthermore, this study suggests directions for urban lighting design, considering human circadian rhythms.

1. Introduction

There is a growing interest in analysing the relationship between light and human biological responses and their impact on health: light acts as a regulatory element in the circadian rhythms of living organisms. Etymologically, the word circadian comes from Latin circa, meaning ‘around’, and diem, meaning ‘day’; thus, circadian refers to ‘around a day’.
Light is perceived by the human eye until it reaches the retina. There, it is converted into an electrical signal through a process called phototransduction [1]. While visual phototransduction occurs in the phototransmitters’ rods and cones, circadian phototransduction occurs in the ipRGC (intrinsically photosensitive retinal ganglion cells). This signal is then transmitted via the optic nerve to the brain, specifically to the hypothalamus, where circadian rhythm regulation arises [2]. These electrical signals, received in the suprachiasmatic nucleus (SCN) within the hypothalamus, are then conducted to the endocrine and nervous systems. Figure 1 shows the location of the neurocells’ cones, rods, and ipRG in the eye, the process of phototransduction, and the location of the SCN.
Previously, two types of photoreceptors were known to exist in the eye: cones and rods. Later, around the 1920s, the first observations and evidence of the influence of light on circadian rhythms emerged. In the 1990s, Russell Foster, along with other researchers, noticed that the circadian rhythm is not regulated by cones and rods [3,4]. Later, in 2002, David Berson described the intrinsically photosensitive retinal ganglion cells (ipRGCs) as another type of photoreceptor in the eye, in addition to the already known cones and rods, and discovered that these cells are involved in the regulation of the circadian cycle. Light controls our circadian rhythm through the ipRGCs (which contain melanopsin, the photoreceptor protein involved in various functions related to the circadian rhythm, such as conventional vision, cognitive functions, and mood) [5]. One key function is to identify the appropriate light intensity and wavelength, (450 to 500 nm, with the highest efficiency occurring at 480 nm), i.e., blue short-wavelength light [6]. At this point, the melanopsin absorbs the light, activates the ipRGCs, sends a signal to the SCN, and inhibits melatonin secretion. Then, the circadian phase resetting occurs. This is known as the melanopic effect of light. The blue melanopic light effects are best quantified using “melanopic Equivalent Daylight Illuminance” (melanopic EDI), a standardised light metric on ipRGCs [7,8,9]. The discovery of ipRGCs as a photoreceptor neuron and the recognition of their primary function in our bioregulation, is crucial to the understanding and control of our circadian rhythm. An experimental sample was obtained to demonstrate the perception of light related to circadian rhythms in blind individuals, in which the non-visual effect of light was demonstrated [10]. Photosynchronisation, mentioned before, is the process of regulating circadian rhythms in living organisms and activating cortisol during the day and melatonin at night. The presence of daylight triggers the production of cortisol, which increases the heart and respiratory rates, gradually altering biological functions during the day. When night falls, organisms begin to produce melatonin and inhibit cortisol, thus achieving the regenerative functions of the organisms, lowering the heart and respiratory rates, and leading to deep sleep. Another word commonly used to refer to the circadian synchronisation is Zeitgeber, from German Zeit = time and Geber = giver.
It is a fact that there is a direct and indirect relation between lighting and brain responses; therefore, we define “neurolighting” as a concept for the specific analysis of light perception (both visual and non-visual) and how it generates responses in our brain, specifically in the SCN, based on light intensities, wavelengths, and light transitions, which will directly influence the following:
  • Nervous system (Central Nervous System, CNS, and Peripheral Nervous System, PNS);
  • Circadian rhythm.
Therefore, as we focus our research on lighting and circadian rhythms, we introduce the term “circadian neurolighting” to the analysis between lighting and brain responses that influence our circadian rhythms. As shown in Figure 2, the Peripheral Nervous System (PNS) establishes the connection between the light and dark and the suprachiasmatic nucleus (SCN), located in the brain, in the Central Nervous System (CNS).
The human nervous system establishes the connections between the exterior and our body and also controls our biological responses, both voluntary and involuntary. Most of these involuntary responses are influenced and regulated by the circadian rhythm, which is activated by light. These responses (sensory input, via electrical signal) are sent and received by neurons, which are cell units that make connections along the nervous system and other organs.
In reference to the circadian rhythm, the brain’s responses to light can be the following:
  • Neurobehavioral: sleep–wake cycle.
  • Neuroendocrine: hormone production, body regeneration.
Leptin is the body’s energy-regulating hormone. It is located in the subcutaneous layer, and its main function is to inform the brain about how much energy is available, which it can only achieve in complete darkness. However, when exposed to artificial light at night, the body becomes resistant to leptin, leading to a false perception of energy need. This results in a persistent need to maintain a constant food intake. Consequently, insulin and glucose levels rise [11,12].
The Central Nervous System and the Peripheral Nervous System work together. While the Peripheral Nervous System is the connection between the body and the exterior, the encephalon produces the responses and sends them to the body through the spinal cord (CNS). Our PNS perceives the light not only from the eyes but from the skin as well, through molecules called chromophores, and this information is sent to the brain. Then, the brain activates the responses in the body. When the light is received by the eye, the pupil constricts to filter and regulate the amount of light; this is called the Pupillary Light Reflex (PLR) [13]. As shown in Figure 3, the nervous system is divided into the Central Nervous System and the Peripheral Nervous System. The brain and the Suprachiasmatic Nucleus are located in the Central Nervous System, whereas the Peripheral Nervous System acts as the connector between the environment and the brain.
Large cities, as their demographics and associated urban functions grow and expand, tend to have increased night-time activities, greater travel distances between different areas, and, consequently, higher light intensities and exposure times, resulting in fewer remaining dark areas in the night sky.
Based on the night-time lighting conditions, known as ALAN (artificial lighting at night), in the city of Madrid, a metropolis whose population growth, increased services, and shops increase the amount of light at night, an analysis is conducted regarding the sensory reactions experienced by visitors and residents in the most illuminated areas of this city, contrasting it with an analysis of the lighting conditions in the city of Toledo and its inhabitants, whose urban characteristics are completely antagonistic.
In this analysis, we recognise the importance of lighting at night for safety while transiting the streets (wayfinding) and sense of security, as it is possible to identify the surrounding elements and to obtain a facial recognition of other pedestrians [14], whilst at the same time, excessive lighting can produce the opposite effect: alertness and overexposure and, thus, a sense of insecurity [15]. Therefore, we explore ways to use lighting at the most appropriate levels to obtain its benefits in a less disruptive way.
The importance of recognising the effects of electrical lighting at night, or ALAN, as a trigger of cortisol in a negative way attempts to identify with more precision the possible disorders and even diseases in our body. There is existing documentation about the relationship between ALAN and different types of cancer, such as breast and prostate cancer [16] and paediatric papillary thyroid cancer [17]. Other studies remark on the relationship between the circadian rhythms and human disease, specifically cancer in long-term shift workers. Since melatonin is mainly produced at night and suppressed by light, the hypothesis claims that oncogenesis becomes more likely when people are exposed to light at night [18]. Moreover, it is demonstrated that overexposure to ALAN, along with disrupting the circadian rhythm, affects immune, endocrine, metabolic, reproductive, and foraging behaviours [19,20]. There is also “evidence that exposure to light-emitting devices from luminaires and screens before bedtime can impact on sleep onset latency, sleep duration, and sleep quality during the subsequent night” [21]. An important point to remark is that cortisol level alterations show greater incidences in women than in men [22]. Furthermore, sleep disorder is directly related to physiological disruptions as well as mental illness and psychosocial stress, as it is registered in the International Classification of Sleep Disorders (ICSD), which registers 83 types of disorder [23].
Therefore, it is significant to bring the concept of Circadian Light Hygiene (CLH) [24] to align our biological responses. Essentially, three conditions are conflicting with our bioregulation:
  • Excessive exposure to artificial light at night, ALAN;
  • Insufficient natural daylight;
  • Irregular exposure during day and night, which creates an unbalanced pattern and disruption.
To balance and to make photosynchronisation effective, it is necessary to receive sunlight and produce cortisol during the day, which allows the body to produce melatonin at night, essential for the regenerative process of our body. Even more, exposure to sunlight at an early time of the day stimulates alertness, cognitive functions, mood regulation, and chronotype improvement [21]; thus, it keeps the process of circadian bioregulation balanced.
The main objective of this research is to demonstrate the adverse impact caused by ALAN through a comparative analysis of two contrasting cities: Madrid and Toledo. The study aims to elucidate the negative repercussions on their inhabitants, highlighting the excessive and unnecessary levels of light intensity and short-wavelength light (blue light) in certain areas. Additionally, it seeks to examine in greater detail the non-visual effects of lighting and their influence on the human body, mood, and overall health. The research also aims to raise awareness regarding methods to prevent disruptive effects, with the goal of controlling and mitigating these negative impacts to enhance the quality of life for residents and visitors. Furthermore, it underscores the potential benefits of sustainability, not only in terms of energy conservation but also in preserving dark skies and maintaining the circadian rhythms of animal and plant species.
To achieve better results that align with the set objectives, some urban lighting plans for the cities of London (UK) and Lusail (Qatar) are analysed.
Under the intentions of “reducing the amount of light, improving legibility on vertical surfaces, controlling the balance of light and shade, highlight key landmarks, balancing the social and economic benefits of light with the environmental consequences (…)” the Light + Darkness in the City by Speirs and Major, in 2018 [25], outlines some lighting actions according to the specific considerations of this city. This lighting document contains some aspects that focus on safety, security, accessibility, sustainability, and culture. Some of their recommendations are “…prioritise lighting for pedestrians and cyclists, employ fuller spectrum white light to help improve recognition (…)”. In addition, the Government of London created the City of London Supplementary Planning Document [26], adopted in October 2023, based on the previously mentioned document (Light + Darkness in the City by Speirs and Major). They recognise that the night-time economy is growing in terms of leisure and hospitality, with a significant residential population and business area, so some specific lighting actions are needed to adapt the city to the current changes.
Likewise, the Lusail Master Plan (LMP) [27], is a lighting document that focuses on avoiding unnecessary high lighting levels, preventing glare, prioritising pedestrians and cyclists, and enhancing the city with low lighting levels, achieved by Light Cibles and the Government of Lusail, in compliance with the most recognised International Lighting Codes: IESNA (Illumination Engineering Society of North America), CIE (Commission Internationale de Eclairage), EN (European Committee for Standardisation), and BS (British Standards). One interesting strategy they implemented was to create a classification of roads and streets in a hierarchy to specify the amount of illumination for each typology.
The notable insights of Dr. Vanessa Ingraham regarding photo-neuroendocrinology were significant for understanding human biology, specifically the impact of light in the neuroendocrine and neurobehavioral responses [28].
An important document in this research was the ROLAN Manifesto (Responsible Outdoor Lighting At Night), from the Dark Sky Organisation, which compiles a list of considerations for the preservation of the dark sky at night [29].

2. Materials and Methods

Our research is a comparison between the highest and lowest levels of illumination. For the highest illumination levels, our analysis area was Gran Vía, in Madrid. For the lowest levels of illumination, we considered some narrow streets in Toledo. Moreover, we compared areas with similar use in the two cities, in this case, the squares Plaza Callao, in Madrid, and Zocodover Plaza, in Toledo.
First stage—We conducted documentary research, including compiling and analysing the state of the art via case studies on urban lighting and the impact of lighting on humans. We selected the lighting master plans of London and Lusail, as these documents have been recently developed, covering a wide range of aspects, and mostly, they give priority importance to pedestrians and cyclists. Specifically, the Lusail Master Plan has extensive references in terms of lighting codes from the most recognised international lighting organisations.
Second stage—Field research: We conducted “in situ” observations, photography, and lighting measurements using a luxmeter and photospectrometer, model AH-300 by Aqua Horti, to identify light intensities and wavelength levels. Interviews with inhabitants were also conducted. The commercial area in Madrid (Gran Vía) was analysed during two seasons, winter and spring, to observe any seasonal changes. After reviewing the content collected during the documentary research phase and considering the empirical observations that motivated this study, it was possible to define and develop the questions for the interviews, questionnaires, and surveys.
Groups of people classified by their location in the cities of study (Madrid and Toledo), by gender (male and female), and by three age ranges (under 25, between 25 and 55, and over 55 years old) were analysed.
In the questionnaires, we examined how the interviewees perceived the light at night in terms of wellbeing, safety, and security through their responses to highlight intensities, their preferences for either cold or warm light, and their level and timing of light exposure during day and night.
Conversely, we examined the light intensities of both cities on urban public spaces during nighttime hours, taking measurements at the same times of the year and at similar hours for both cities between February and March 2025. We chose these months to avoid extreme seasons like winter or summer, thereby minimising the impact of weather conditions. The light measurements were taken at a height of 1.00 m above the ground, which was an intermediate height between the ground and the visual field.
In Madrid, our place of study was one of the busiest and most principal avenues, known as “Gran Vía” which is a major hub for retail, gastronomy, and other touristic activities. Along Gran Vía avenue, we took point of measurements at 20-metre intervals; at each measurement point, we took the measurements three times to ensure accuracy. In Toledo, our study areas were the main square and small and narrow streets with low levels of lighting. The criteria for the cities and area selection were to intensify the contrast for a better understanding of the results.

3. Results

For the analysis of the cities, we placed a specific area image along with the lighting calculations made with a luxmeter and a photo-spectrometer, showing the image with the total lighting levels and the wavelength spectrum distribution. Based on the data collection, we prepared one chart per city with the obtained values on lighting levels to facilitate comparison. The values considered are as follows:
  • Illuminance—measured in luxes (lx) and foot candles (fc).
  • Wavelength—measured in nanometres (nm).
  • Correlated Colour Temperature—measured in Kelvin (K)
Additionally, we present some of the questions asked during the survey, focusing on the most relevant ones, supported by a pie chart showing the percentage of answers received for each question.

3.1. Madrid Analysis

Taking Madrid as the first city of observation, we studied some shop entrances on the Gran Vía, some of which have screen vitrines. Additionally, we examined two squares along the Gran Vía: Plaza Callao and Plaza Gran Vía. These two squares are very strategic connection points, as both connect with “Puerta del Sol," the main centre and point of origin of Madrid.
In the following plan, Figure 4, we indicate the sections of Gran Vía that were analysed. For easier orientation, we indicate three significant landmarks in white: “Plaza España”, “Puerta del Sol”, and “Cibeles”.
The following image, Figure 5, displays the analysed section in 3D to enhance understanding of the area.
Gran Vía, due to all the touristic and commercial activity developed in this avenue, has significantly much higher lighting levels than the surrounding areas, showing high contrast, as can be appreciated in Figure 6.
As shown in Figure 7, along Gran Vía, the lighting levels increase as the buildings approach the city centre. During spring and summer seasons, the rooftops of the buildings (terraces and balconies) are open to the public and illuminated as extensions of restaurants and bars offering city views. This creates a more scattered lighting effect on the upper parts of the buildings’ façades and to the sky. The figure below was taken in spring.
Analysing in detail, as shown in Figure 8, image (a) depicts the area used for lighting calculations. It is a shop on Gran Vía, a main thoroughfare for commercial activities. Image (b) displays the measured lighting level of 2996 K and 388 lx. The wavelength spectrum is mainly distributed across medium and wide wavelengths, with a peak at 600 nm and fewer short wavelengths. Considering the measurement was taken 1 metre outside the shop (already on the sidewalk), the light intensity is much higher than necessary, resulting in light pollution.
In Figure 9, we analyse the lighting and wavelength values of the screen displayed in the shop window. Image (a) shows the area used for the lighting calculations. It is the same shop shown in the previous Figure 8, indicated above. Image (b) shows the lighting level recorded with a colour temperature of 4879 K and intensity of 251 lx. The wavelength spectrum distribution has two peaks: one in medium and wide waves, at 600 nm, and the other in short wavelengths, at 450 nm. This amount of 450 nm is in the range of the melanopic effect of light, so a human body under this exposure would have inhibited melatonin secretion and their circadian phase would reset. This demonstrates the direct relationship between the screens and the short-wavelength emissions. Therefore, pedestrians who visit that place are receiving those emissions, triggering cortisol levels in their bodies at night.
As a similar situation, another screen on a vitrine is shown in Figure 10. After measurement with the photospectrometer, we observed a high peak in the short wavelengths at 470 nm. We observed only one peak of short wavelengths, as there was no other type of light immediately near to it. This means that there is no dissipation of the high peak, making the incident light more intense. Also, the blue scale increases to 28.6%, almost double that of the previously mentioned image (Figure 9). As explained above, and since we obtained only one peak at 470nm, the melanopic effect of light is activated, causing circadian phase resetting, triggering increased cortisol levels mostly in the bodies of pedestrians and therefore causing hormone disruption.
In Figure 11, there is only the main entrance of the shop, which has an extremely high intensity level, 2692 lx, as indicated in image (b). This level of intensity is much higher than the surrounding shops and creates huge discomfort due to the contrast. Regarding the wavelength, it presents two peaks, one at 470 nm and the other in the wider wavelength at 650 nm. The level of 470 nm (short wavelength) is in the range of the melanopic effect of light; thus, a human body under this exposure would have inhibited melatonin secretion and their circadian phase would reset.
In the main centre of Plaza Callao (Callao Square), Figure 12, the lighting levels measured by the photospectrometer indicate lower levels in comparison with the shops of Gran Vía, although there is a lot of indirect light reflection from surrounding screens and other luminous advertisements. In the main centre, the intensity is 20 lx, and there is no direct incidence of short wavelengths, as per the wavelength distribution shown in graphic (b), and the light is predominantly warm light, with CCT: 2294 K.
The other square, Gran Vía Plaza, presents similar conditions to Callao Plaza. As shown in Figure 13, the CCT is below 3000 K and has low levels of short wavelengths, with a predominance of long wavelengths at 600 nm; regarding the lighting intensity, it is 134 lx. There is no prominent peak of short wavelengths, as there are no LED screens in the measured area.
At the end of Gran Vía, we come across Plaza España, a square recently redesigned, with a new lighting installation. We observed the elevated height of the lighting fixture, as shown in Figure 14. Across the entire square, the high and bright lighting emissions generate excessive illumination and even glare for pedestrians, as seen in Figure 15.
Unlike areas that create a safe and secure atmosphere, when pedestrians are overly exposed to their surroundings, the sense of safety and security is completely nullified, because they perceive themselves to be observed from all directions. In squares and pedestrian boulevards, it is sufficient to have wayfinding lighting that also facilitates facial recognition among other pedestrians.
We compiled the results obtained from the selected areas of Madrid for our analysis in the table below, Table 1, showing the measurement point, the illuminance in luxes and foot candles, the correlated colour temperature, wavelength peaks, and blue level percentages.

3.2. Toledo Analysis

As Toledo is a World Heritage Site, urban growth is controlled, commercial activities are limited, and their lighting intensities at night remain low, ensuring a dark atmosphere at night and the protection of the dark night sky.
The analysis focused on two areas: the main centre, where most tourists visit, Plaza Zocodover and Cuesta Fernando V, and another street with very low lighting. In the image below, Figure 16, the areas that were analysed are marked in yellow, and some landmarks are shown in white as references.
In Figure 17, the four points selected for analysing the lighting are indicated. Each of those points is marked with a number and the angle at which the picture was taken:
Point 1. Tornerías street;
Point 2. Cuesta de Carlos V;
Point 3. Plaza Zocodover, view towards Zocodover #6 (Figure 16);
Point 4. Plaza Zocodover, view towards Zocodover #13 (Figure 17).
Figure 16. Toledo general plan. Original plan obtained from Cadmapper, edited in Photoshop by the authors.
Figure 16. Toledo general plan. Original plan obtained from Cadmapper, edited in Photoshop by the authors.
Urbansci 09 00386 g016
Figure 17. Toledo plan, 3D enlargement. Original plan obtained from Cadmapper, edited in Photoshop by the authors. Selected points for analysis are marked with numbers. Each of those points is indicated with a number and the angle at which the photograph was taken: Point 1. Tornerías street; Point 2. Cuesta de Carlos V; Point 3. Plaza Zocodover, view towards Zocodover #6 (Figure 16); Point 4. Plaza Zocodover, view towards Zocodover #13 (Figure 17).
Figure 17. Toledo plan, 3D enlargement. Original plan obtained from Cadmapper, edited in Photoshop by the authors. Selected points for analysis are marked with numbers. Each of those points is indicated with a number and the angle at which the photograph was taken: Point 1. Tornerías street; Point 2. Cuesta de Carlos V; Point 3. Plaza Zocodover, view towards Zocodover #6 (Figure 16); Point 4. Plaza Zocodover, view towards Zocodover #13 (Figure 17).
Urbansci 09 00386 g017
Plaza Zocodover is the principal square in Toledo. It is a principal point of confluence in the city. The lighting levels, as can be appreciated in the images below (Figure 18 and Figure 19), remain low, only strategically enhancing a façade of symbolic and historical significance, the current government building with the arch (Arco de la Sangre, Figure 19).
Below, in Figure 20, on Tornerías street, we observe the minimum lighting levels for pedestrian use, while it remains dark for residential use. The second point of reference is Cuesta de Carlos V, #9, which is close to Plaza Zocodover, where the lighting levels increase, as shown in Figure 21. The third and fourth points, shown in Figure 22 and Figure 23, are in Plaza Zocodover. From the photospectrometer results, we observe that there is no short-wavelength light.
Toledo demonstrates no short-wavelength lighting and low lighting intensities.
We compiled the results obtained from the selected areas of Toledo for our analysis in the table below, Table 2, showing the measurement points, the illuminance in luxes and foot candles, the correlated colour temperature, wavelength peaks, and blue level percentages.
Based on the survey we conducted among the inhabitants of Madrid and Toledo, we selected three questions and included a pie chart for each of them. Figure 24, Figure 25 and Figure 26 show the results obtained graphically.
From a total of 54 interviewees, 17 from Toledo, equivalent to 31.5%, and 36 people from Madrid, equivalent to 66.7%, one key question that was asked was: “Do you feel safer with high intensity lighting during the night?” Then, 59.3% expressed that they do not need high intensities at night to feel safe and secure; having the necessary lighting to walk and to facilitate facial recognition is enough. Figure 24 displays the results obtained.
Another relevant question that gave us interesting results was question #8 of the survey, in which we noticed that 88.9% had difficulties in terms of falling asleep, which was divided into three scenarios, a first one in which they found it difficult to fall asleep (37%), a second one in which they sometimes had difficulty (35.2%), and a third one in which they used to suffer from insomnia (14.8%); only 11.1% could fall asleep with no problems. Figure 25 displays the results obtained.
Additionally, based on question 10, most of our interviewees (66.7%) answered that they felt more comfortable with warm lighting at night. Only 16.7% preferred cold lighting, while the same percentage, 16.7%, could not distinguish it or they did not notice the difference. Figure 26 displays the results obtained.

4. Discussion

Based on the observations in Figure 12, at Plaza Callao, although there is an LED screen, at a distance of approximately 7 m, no short-wavelength peaks appeared in the measurements taken by the photospectrometer. This means that the distance helps to dissipate the short-wavelength emissions.
According to the results of the questionnaires, 59% of the respondents indicated that they did not require high lighting levels but rather just enough to enable wayfinding and facial recognition. Regarding overexposure to lighting and difficulty falling asleep, 88.9% reported that they found it difficult to fall asleep after being exposed to prolonged high lighting levels. In terms of colour temperature and perception, 66.7% said that they felt more comfortable with warm lighting at night. Therefore, for pedestrian use, we recommend using warmer lighting and lower intensity levels, as high colour rendering is not necessary.
After performing the data collection from the selected streets and plazas in Madrid and Toledo, we observed a high contrast in the results obtained between both scenarios: the highest level in Madrid was 2692 lx (marked in turquoise in Table 3), whereas the lowest level in Toledo was 2 lx (marked in yellow in Table 3), a difference of 2688 lx, a percentage of 134,600%. This indicates a substantial disparity in light levels between the lowest in Toledo and the highest in Madrid.
After completing the surveys with inhabitants of each city, the following results were obtained: Inhabitants from Madrid reported more difficulty in falling asleep in comparison with inhabitants from Toledo, as they expressed being exposed to high levels of lighting intensity. They mentioned that they felt more comfortable with warm lighting at night. Moreover, the interviewees expressed that they did not need high-intensity lighting at night on the streets, only the necessary lighting for path identification and facial recognition.
After performing a comparison between the lighting level on Plaza Gran Vía, in Madrid, (134 lx) and in Plaza Zocodover, in Toledo (10 lx), we noticed that the difference was 10 times higher.
The measurements taken in Madrid along Gran Vía shop windows’ display screens showed a high peak in short wavelengths, which can lead to more cortisol activation at night, thus producing a biological disruption. This effect becomes intensified as pedestrians pass through the sequence of screens alongside Gran Vía.

5. Conclusions

Lighting is a powerful element (considered in neuroarchitecture as a part of neuroscience) that generates specific responses in the brain, stimulating perceptions, emotions, and behaviours. Photoreceptors are neuronal cells of the nervous system that respond to stimuli via a nerve impulse. These neurons convert light into nerve impulses, which are subsequently processed in the brain.
Therefore, we define the concepts of “neurolighting” and “circadian neurolighting”, referring to the understanding, analysis, research, and design applications of visual and non-visual aspects that create an influence and impact on our neuronal responses, including neuroendocrine and neurobehavioral ones.
In different scenarios, it is understood that increasing cortisol levels, through lighting, can activate productivity. This assumption without a complete understanding of other variables, like the required light intensity, controlled light emissions, and circadian rhythms, brings fatigue and might stimulate possible diseases in the user due to disruptions to circadian rhythms.
The impact of ALAN on our biology is substantially significant, as it acts as a disruptor in our body’s regulation. The conducted survey demonstrates the negative effects on the inhabitants of the analysed cities. Therefore, it is necessary to take immediate action in controlling lighting levels and incidences in the public urban space.
After analysing the results obtained from the photospectrometer in the Discussion section, it is important to consider not only lux levels when planning a lighting design but also the wavelength spectrum as well, as this can have a major impact on triggering cortisol levels, which are disruptors in our bodies at night.
As demonstrated with the photospectrometer, the screens along the Gran Vía sidewalk have a high emission of short-wavelength light, between 450 nm and 500 nm, which is the range of the melanopic EDI. In terms of this melanopic effect of light, the human body under this exposure has inhibited melatonin secretion, and their circadian phase resets, creating a disruption in our circadian rhythm. Hence, it is recommended to avoid long walks alongside screens (as well as to avoid any exposure to this type of short-wavelength emission) at night just before bedtime. Additionally, a way to reduce short-wavelength emissions from LED screens is to position them at an appropriate distance from the observer in order to enable the dissipation of the short-wavelength light, thereby reducing neuroendocrine disruptions at night.
Regarding the zoning and the type of uses for each area, it is recommended not to mix residential areas with high-impact touristic and commercial activities, as the lighting level requirements vary significantly depending on each type of use. The results obtained reinforce the importance of separating zoning uses, since residential use and tourist–commercial use (especially at night) present many clashes in terms of tending to conflict due to different activity dynamics and uses in the area. Touristic and commercial activities, especially in large cities, often employ contrasting lighting and LED screens to attract visitors’ attention.
In overly illuminated areas, unlike those that create a safe and secure atmosphere, pedestrians are overly exposed to their surroundings. As a result, the sense of safety and security is completely nullified, because they feel observed from all directions and may also experience glare.
For pedestrian boulevards, it is recommended to have just the necessary lighting level for wayfinding and facial recognition, with warmer-colour-temperature lighting. For road lighting, it is recommended to classify and analyse the type of roads based on speed, dimensions, location (residential, commercial, industrial, business, highway), and interaction with other uses like cycling or walking, and from this, the specific lighting requirements should be defined.
We recommend developing an urban lighting regulation in coordination with commercial sectors to mitigate the high contrast of lighting with different lighting intensities in public urban spaces and to facilitate the transition of light levels for the human eye, known as the Pupillary Light Reflex (PLR). To achieve better results and obtain a more comprehensive overview and holistic understanding of urban aspects, it is necessary to work in collaboration with other disciplines, such as biology, law, and astronomy, to develop an integrated proposal for the public realm.
Although we consider, sometimes and eventually, the need for the use of light at night, it is important to take the correct design decisions in terms of the following:
  • Intensity: Use only the necessary light intensity. Avoid light intrusion and excessive bright light.
  • Colour temperature: Avoid cold colour temperatures at night. The colder the light, the greater tendency to secrete cortisol. Use warm-colour lighting.
  • Avoid lighting pollution: Avoid glare and lighting upward. Light should be dimmed down or turned off when not required.
  • Avoid peaks of short wavelengths (blue light).
  • Avoid direct lighting emission. Consider using indirect lighting when possible. Light should address the surface, not the person.
  • Consider transitions between short distances between one point to another to let the eye to adapt to the different conditions and minimise the negative effects of ALAN on our bodies.
  • Avoid, as much as possible, long distances from the light source to the surface to be illuminated to minimise the lighting waste, pollution, and glare.
Following these recommendations and research guidelines will be an initial step to help in regulations in our circadian rhythms.
Taking some references from the London and Lusail Lighting master plans, such as the lighting strategy and criteria of classification based on the type of use of the different areas of the city, these could be implemented and adapted to Madrid according to its own characteristics. These references can also be adapted to other cities’ lighting master plans
Therefore, lighting should be understood not only in terms of functional or aesthetic aspects but also as a trigger of neuronal responses, and, when used appropriately, it can create different conditions to improve wellbeing by avoiding unnecessary short-wavelength radiation that triggers increases in cortisol levels; instead, it can providing a sense of safety, security, and comfort while adapting the lighting to our biology in harmony with circadian rhythms.
Sustainability should be present in these considerations, not only from an energy-saving perspective but also for species care and protection through the controlled use of ALAN.

Author Contributions

Conceptualisation, N.L.M.; methodology, N.L.M. and M.V.L.; software, N.L.M.; validation, M.V.L. and N.L.M.; formal analysis, M.V.L. and N.L.M.; investigation, N.L.M.; resources, N.L.M.; data curation, N.L.M.; writing—original draft preparation, N.L.M.; writing—review and editing, N.L.M. and M.V.L.; visualisation, N.L.M.; supervision, M.V.L.; project administration, N.L.M. and M.V.L.; funding acquisition, N.L.M. All authors have read and agreed to the published version of the manuscript.

Funding

This research received no external funding.

Data Availability Statement

Data material will be available upon request.

Acknowledgments

The authors express their appreciation to Vanessa Ingraham for providing her valuable medical knowledge about photo-neuroendocrinology and Manuel Álvarez Dorado for his support during the revision of this paper. The authors also express their appreciation to all participants in the survey. For data collection through surveys, the authors used “Forms” from Google, taking the pie chart representation from this source. The authors have thoroughly reviewed the output and take full responsibility for the content of this publication.

Conflicts of Interest

The authors declare no conflicts of interest.

Abbreviations

The following abbreviations are used in this manuscript:
ALANArtificial light at night
CCTCorrelative colour temperature
CNSCentral nervous system
EDIEquivalent daylight illuminance
fcFoot candle (unit for lighting measurement in ft2)
GVGran Vía
ipRGCIntrinsically photosensitive retinal ganglion cells
lxLuxes (unit for lighting measurement in m2)
nmnanometre
PLRPupillary light reflex
PNSPeripheral nervous system
SCNSuprachiasmatic nucleus
ZZocodover

References

  1. Hurley, J.B. Phototransduction. In Encyclopedia of Neuroscience; Academic Press: New York, NY, USA, 2009; pp. 687–692. [Google Scholar] [CrossRef]
  2. Rea, M.S.; Nagare, R.; Figueiro, M.G. Modeling Circadian Phototransduction: Quantitative Predictions of Psychophysical Data. Front. Neurosci. 2021, 15, 615322. [Google Scholar] [CrossRef] [PubMed]
  3. Freedman, M.S.; Lucas, R.J.; Soni, B.; Von Schantz, M.; Muñoz, M.; David-Gray, Z.; Foster, R. Regulation of mammalian circadian behavior by non-rod, non-cone, ocular photoreceptors. Science 1999, 284, 502–504. [Google Scholar] [CrossRef] [PubMed]
  4. Lucas, R.J.; Freedman, M.S.; Muñoz, M.; Garcia-Fernández, J.M.; Foster, R.G. Regulation of the mammalian pineal by non-rod, non-cone, ocular photoreceptors. Science 1999, 284, 505–507. [Google Scholar] [CrossRef] [PubMed]
  5. Duda, M.; Domagalik, A.; Orlowska-Feuer, P.; Krzysztynska-Kuleta, O.; Beldzik, E.; Smyk, M.K.; Stachurska, A.; Oginska, H.; Jeczmien-Lazur, J.C.; Fafrowicz, M.; et al. Melanopsin: From a small molecule to brain functions. Neurosci. Biobehav. Rev. 2020, 113, 190–203. [Google Scholar] [CrossRef] [PubMed]
  6. Berson, D.M. Phototransduction in ganglion-cell photoreceptors. Pflügers Arch.-Eur. J. Physiol. 2007, 454, 849–855. [Google Scholar] [CrossRef] [PubMed]
  7. Noor, M.C.; Saradj, F.M.; Yazdanfar, S.A. Analytical evolution of measurement methods for light’s non-visual effects. Results Eng. 2023, 17, 100922. [Google Scholar] [CrossRef]
  8. Proceedings of the 29th Session of the CIE, Washington, DC, USA, 14–22 June 2019; Volume 2. Available online: https://www.researchgate.net/profile/Luc-Schlangen/publication/343988199_Report_on_the_Workshop_USE_AND_APPLICATION_OF_THE_NEW_CIE_S_026E2018_METROLOGY_FOR_ipRGC-INFLUENCED_RESPONSES_TO_LIGHT_SPECIFYING_LIGHT_FOR_ITS_EYE-MEDIATED_NON-VISUAL_EFFECTS_IN_HUMANS/links/5f4d20c7299bf13c50697cc2/Report-on-the-Workshop-USE-AND-APPLICATION-OF-THE-NEW-CIE-S-026-E2018-METROLOGY-FOR-ipRGC-INFLUENCED-RESPONSES-TO-LIGHT-SPECIFYING-LIGHT-FOR-ITS-EYE-MEDIATED-NON-VISUAL-EFFECTS-IN-HUMANS.pdf (accessed on 29 July 2025).
  9. Trinh, V.Q.; Bodrogi, P.; Khanh, T.Q. Determination and Measurement of Melanopic Equivalent Daylight (D65) Illuminance (mEDI) in the Context of Smart and Integrative Lighting. Sensors 2023, 23, 5000. [Google Scholar] [CrossRef] [PubMed]
  10. Aubin, S.; Kupers, R.; Ptito, M.; Jennum, P. Melatonin and cortisol profiles in the absence of light perception. Behav. Brain Res. 2017, 317, 515–521. [Google Scholar] [CrossRef] [PubMed]
  11. Dornbush, S.; Aeddula, N.R. Physiology, Leptin. StatPearls. 2023. Available online: https://www.ncbi.nlm.nih.gov/books/NBK537038/ (accessed on 29 July 2025).
  12. Dibner, C.; Gachon, F. Circadian dysfunction and obesity: Is Leptin the missing link? Cell Metab. 2015, 22, 359. [Google Scholar] [CrossRef] [PubMed]
  13. Yoo, H.; Mihaila, D.M. Neuroanatomy, Pupillary Light Reflexes and Pathway. StatPearls. 2023. Available online: https://www.ncbi.nlm.nih.gov/books/NBK553169/ (accessed on 29 July 2025).
  14. Boyce, P.R. The benefits of light at night. Build. Environ. 2019, 151, 356–367. [Google Scholar] [CrossRef]
  15. Hvass, M.; Hansen, E.K. Balanced Brightness Levels: Exploring how lighting affects humans’ experiences of architectural and social urban contexts. In IOP Conference Series: Earth and Environmental Science; IOP Publishing: Bristol, UK, 2022. [Google Scholar] [CrossRef]
  16. Garcia-Saenz, A.; Sánchez de Miguel, A.; Espinosa, A.; Valentin, A.; Aragonés, N.; Llorca, J.; Amiano, P.; Martín Sánchez, V.; Guevara, M.; Capelo, R.; et al. Evaluating the association between artificial light-at-night exposure and breast and prostate cancer risk in Spain (Mcc-spain study). Environ. Health Perspect. 2018, 126, 047011. [Google Scholar] [CrossRef] [PubMed]
  17. Deziel, N.C.; Wang, R.; Warren, J.L.; Dinauer, C.; Ogilvie, J.; Clark, C.J.; Zhong, C.; Wiemels, J.L.; Morimoto, L.; Metayer, C.; et al. Perinatal Exposures to Ambient Fine Particulate Matter and Outdoor Artificial Light at Night and Risk of Pediatric Papillary Thyroid Cancer. Environ. Health Perspect. 2025, 133, 057026. [Google Scholar] [CrossRef] [PubMed]
  18. Roenneberg, T.; Merrow, M. The circadian clock and human health. Curr. Biol. 2016, 26, R432–R443. [Google Scholar] [CrossRef] [PubMed]
  19. Bumgarner, J.R.; Nelson, R.J. Light at Night and Disrupted Circadian Rhythms Alter Physiology and Behavior. Integr. Comp. Biol. 2021, 61, 1160–1169. [Google Scholar] [CrossRef] [PubMed]
  20. Bedrosian, T.A.; Nelson, R.J. Timing of light exposure affects mood and brain circuits. Transl. Psychiatry 2017, 7, e1017. [Google Scholar] [CrossRef] [PubMed]
  21. Blume, C.; Münch, M. Effects of light on biological functions and human sleep. Handb. Clin. Neurol. 2025, 206, 3–16. [Google Scholar] [CrossRef] [PubMed]
  22. Suchecki, D.; Meerlo, P.; Wu, T.J. Editorial: The bidirectional relationship between sleep and neuroendocrinology. Front. Endocrinol. 2024, 15, 1372967. [Google Scholar] [CrossRef] [PubMed]
  23. Foster, R.G. Sleep, circadian rhythms and health. Interface Focus 2020, 10, 20190098. [Google Scholar] [CrossRef] [PubMed]
  24. Gubin, D.G.; Borisenkov, M.F.; Kolomeichuk, S.N.; Markov, A.A.; Weinert, D.; Cornelissen, G.; Stefani, O. Evaluating circadian light hygiene: Methodology and health implications. Russ. Open Med. J. 2024, 13, e0415. [Google Scholar] [CrossRef]
  25. C. of London. Light + Darkness in the City/A Lighting Vision for the City of London. 2018. Available online: https://www.speirsandmajor.com (accessed on 29 July 2025).
  26. C. of London Corporation. City of London Lighting Supplementary Planning Document. Available online: https://www.cityoflondon.gov.uk/assets/Services-Environment/lighting-spd-2023.pdf (accessed on 29 July 2025).
  27. Nightscape Lighting Master Plan Strategy-Lusail. Available online: https://www.lusail.com/wp-content/uploads/LCAC%20Files/Building%20Regulations%20and%20Design%20Guidelines/Nightscape%20Lighting%20Master%20Plan%20Strategy.pdf (accessed on 29 July 2025).
  28. Youtube. Dr. Vanessa Ingraham Channel—Photoneuroendocrinology 101 LIVE. Available online: https://www.youtube.com/watch?v=uLwao9-oOAg&ab_channel=DrVanessaIngraham. (accessed on 29 July 2025).
  29. Dark Sky. Available online: https://darksky.org/news/responsible-outdoor-lighting-at-night-rolan-manifesto-for-lighting/ (accessed on 29 July 2025).
Figure 1. Scheme of visual and non-visual phototransduction. Author: Nubi León Martínez.
Figure 1. Scheme of visual and non-visual phototransduction. Author: Nubi León Martínez.
Urbansci 09 00386 g001
Figure 2. Scheme of light perception in the nervous system to the suprachiasmatic nucleus. Author: Nubi León Martínez.
Figure 2. Scheme of light perception in the nervous system to the suprachiasmatic nucleus. Author: Nubi León Martínez.
Urbansci 09 00386 g002
Figure 3. Scheme of nervous system with its subdivisions. Author: Nubi León Martínez.
Figure 3. Scheme of nervous system with its subdivisions. Author: Nubi León Martínez.
Urbansci 09 00386 g003
Figure 4. Madrid plan with the analysis area (Gran Vía) marked in turquoise colour. Other landmarks, such as Plaza España, Puerta del Sol, and Cibeles Fountain, are marked as reference in white colour. Original plan obtained from Cadmapper, edited in Photoshop by the authors.
Figure 4. Madrid plan with the analysis area (Gran Vía) marked in turquoise colour. Other landmarks, such as Plaza España, Puerta del Sol, and Cibeles Fountain, are marked as reference in white colour. Original plan obtained from Cadmapper, edited in Photoshop by the authors.
Urbansci 09 00386 g004
Figure 5. Gran Vía plan enlargement in 3D. Area of analysis is indicated in turquoise colour. Original plan obtained from Cadmapper, edited in Photoshop by the authors.
Figure 5. Gran Vía plan enlargement in 3D. Area of analysis is indicated in turquoise colour. Original plan obtained from Cadmapper, edited in Photoshop by the authors.
Urbansci 09 00386 g005
Figure 6. Photograph of the Gran Vía, taken from Gran Vía #84 terrace, facing Plaza Callao. Photograph by Nubi León Martínez.
Figure 6. Photograph of the Gran Vía, taken from Gran Vía #84 terrace, facing Plaza Callao. Photograph by Nubi León Martínez.
Urbansci 09 00386 g006
Figure 7. Picture of the Gran Vía, taken from the Gran Vía #31 terrace, facing Plaza España, during the spring season, showing the rooftops illuminated. Photograph taken by Nubi Leon Martinez.
Figure 7. Picture of the Gran Vía, taken from the Gran Vía #31 terrace, facing Plaza España, during the spring season, showing the rooftops illuminated. Photograph taken by Nubi Leon Martinez.
Urbansci 09 00386 g007
Figure 8. Shop entrance and LED screen vitrine. Image (a) displays the main entrance, which is used for lighting calculations. Image (b) shows the lighting level graphic obtained from the spectrometer measurement at the shop entrance area in image (a). In image (b), the blue colour indicates the short wavelength. The photospectrometer shows a low level of short wavelength, as the measurement was taken separately of the LED screen.
Figure 8. Shop entrance and LED screen vitrine. Image (a) displays the main entrance, which is used for lighting calculations. Image (b) shows the lighting level graphic obtained from the spectrometer measurement at the shop entrance area in image (a). In image (b), the blue colour indicates the short wavelength. The photospectrometer shows a low level of short wavelength, as the measurement was taken separately of the LED screen.
Urbansci 09 00386 g008
Figure 9. Retail screen vitrine. Image (a) shows the analysed area. It is the same shop used in Figure 8, indicated above, but here, we are focusing on the screen lighting measurement. Image (b) shows the lighting and wavelength level graphic obtained from the spectrometer measurement on the screen façade, image (a). In image (b), the blue colour indicates the short wavelength. The high peak of short wavelengths causes circadian phase resetting and, therefore, hormone disruption at night.
Figure 9. Retail screen vitrine. Image (a) shows the analysed area. It is the same shop used in Figure 8, indicated above, but here, we are focusing on the screen lighting measurement. Image (b) shows the lighting and wavelength level graphic obtained from the spectrometer measurement on the screen façade, image (a). In image (b), the blue colour indicates the short wavelength. The high peak of short wavelengths causes circadian phase resetting and, therefore, hormone disruption at night.
Urbansci 09 00386 g009
Figure 10. Retail screen vitrine. Gran Vía #27. Image (a) shows the analysed area. Image (b) shows the lighting and wavelength levels graphic obtained from the spectrometer measurement on the façade, image (a). In figure (b), the blue colour indicates the short wavelength The high peak of short wavelengths, specifically 470nm, which is the range of the melanopic effect of light, causes circadian phase resetting and, therefore, hormone disruption at night.
Figure 10. Retail screen vitrine. Gran Vía #27. Image (a) shows the analysed area. Image (b) shows the lighting and wavelength levels graphic obtained from the spectrometer measurement on the façade, image (a). In figure (b), the blue colour indicates the short wavelength The high peak of short wavelengths, specifically 470nm, which is the range of the melanopic effect of light, causes circadian phase resetting and, therefore, hormone disruption at night.
Urbansci 09 00386 g010
Figure 11. Main entrance of a shop. Gran Vía #49. Image (a) shows the analysed area. Image (b) shows the lighting and wavelength level graphic obtained from the spectrometer measurement on the façade, image (a). In figure (b), the blue colour indicates the short wavelength. The high peak at high intensities, obtained by the photospectrometer at night, tends to cause circadian disruptions.
Figure 11. Main entrance of a shop. Gran Vía #49. Image (a) shows the analysed area. Image (b) shows the lighting and wavelength level graphic obtained from the spectrometer measurement on the façade, image (a). In figure (b), the blue colour indicates the short wavelength. The high peak at high intensities, obtained by the photospectrometer at night, tends to cause circadian disruptions.
Urbansci 09 00386 g011
Figure 12. Plaza Callao. Image (a) shows the analysed area. Image (b) shows the lighting and wavelength level graphic obtained from the spectrometer measurement in the plaza, image (a). Although there is an LED screen in the square, its emissions are distant from the measured area, and short-wavelength peaks were not registered in the measured zone. In the photospectrometer image (b), the blue colour represents the short wavelength, and the red colour represents the longest wavelength.
Figure 12. Plaza Callao. Image (a) shows the analysed area. Image (b) shows the lighting and wavelength level graphic obtained from the spectrometer measurement in the plaza, image (a). Although there is an LED screen in the square, its emissions are distant from the measured area, and short-wavelength peaks were not registered in the measured zone. In the photospectrometer image (b), the blue colour represents the short wavelength, and the red colour represents the longest wavelength.
Urbansci 09 00386 g012
Figure 13. Plaza Gran Vía. Image (a) shows the analysed area. Image (b) shows the lighting and wavelength level graphic obtained from the spectrometer measurement taken on the Plaza Gran Vía, image (a). In the photospectrometer image (b), the blue colour represents the short wavelength, and the red colour represents the longest wavelength.
Figure 13. Plaza Gran Vía. Image (a) shows the analysed area. Image (b) shows the lighting and wavelength level graphic obtained from the spectrometer measurement taken on the Plaza Gran Vía, image (a). In the photospectrometer image (b), the blue colour represents the short wavelength, and the red colour represents the longest wavelength.
Urbansci 09 00386 g013
Figure 14. Plaza España. Pole lighting fixtures produce glare and unnecessarily high intensities. As shown in this image, the lighting fixtures are installed at an elevated height in relation to the surface to be illuminated. The long distance between the fixture and the floor creates unnecessary light pollution.
Figure 14. Plaza España. Pole lighting fixtures produce glare and unnecessarily high intensities. As shown in this image, the lighting fixtures are installed at an elevated height in relation to the surface to be illuminated. The long distance between the fixture and the floor creates unnecessary light pollution.
Urbansci 09 00386 g014
Figure 15. Plaza España. Over-illuminated area across the entire floor surface of the plaza. As seen in this image, the lighting fixtures surround and illuminate a large surface, spreading the light and producing glare for pedestrians.
Figure 15. Plaza España. Over-illuminated area across the entire floor surface of the plaza. As seen in this image, the lighting fixtures surround and illuminate a large surface, spreading the light and producing glare for pedestrians.
Urbansci 09 00386 g015
Figure 18. Toledo square. Plaza Zocodover, view towards Zocodover #13. Photograph by Nubi Leon Martinez.
Figure 18. Toledo square. Plaza Zocodover, view towards Zocodover #13. Photograph by Nubi Leon Martinez.
Urbansci 09 00386 g018
Figure 19. Toledo square. Plaza Zocodover, view towards Zocodover #6, the government building with the arch, known as “Arco de la Sangre”. This building expresses its hierarchy, as it is the only façade that is fully illuminated, and it is enhanced due to the lower lighting levels of the surrounding buildings and the main Plaza Zocodover. Photograph by Nubi Leon Martinez.
Figure 19. Toledo square. Plaza Zocodover, view towards Zocodover #6, the government building with the arch, known as “Arco de la Sangre”. This building expresses its hierarchy, as it is the only façade that is fully illuminated, and it is enhanced due to the lower lighting levels of the surrounding buildings and the main Plaza Zocodover. Photograph by Nubi Leon Martinez.
Urbansci 09 00386 g019
Figure 20. Toledo street. Calle Tornerías, #23. Image (a) shows the analysed area. Image (b) shows the lighting measurements and wavelength level graphic obtained from the photospectrometer measurements in image (a). In the photospectrometer image (b), the blue colour represents the short wavelength, and the red colour represents the longest wavelength.
Figure 20. Toledo street. Calle Tornerías, #23. Image (a) shows the analysed area. Image (b) shows the lighting measurements and wavelength level graphic obtained from the photospectrometer measurements in image (a). In the photospectrometer image (b), the blue colour represents the short wavelength, and the red colour represents the longest wavelength.
Urbansci 09 00386 g020
Figure 21. Toledo street. Cuesta de Carlos V, #9, view towards Calle Armas. Image (a) shows the analysed area. Image (b) shows the lighting measurements and wavelength level graphic obtained from the spectrometer measurements in image (a). In the photospectrometer image (b), the blue colour represents the short wavelength, and the red colour represents the longest wavelength.
Figure 21. Toledo street. Cuesta de Carlos V, #9, view towards Calle Armas. Image (a) shows the analysed area. Image (b) shows the lighting measurements and wavelength level graphic obtained from the spectrometer measurements in image (a). In the photospectrometer image (b), the blue colour represents the short wavelength, and the red colour represents the longest wavelength.
Urbansci 09 00386 g021
Figure 22. Toledo square. Plaza Zocodover facing the historical building “Arco de Sangre”. Image (a) shows the analysed area. Image (b) shows the lighting measurements and wavelength level graphic obtained from the spectrometer measurements in image (a). In the photospectrometer image (b), the blue colour represents the short wavelength, and the red colour represents the longest wavelength.
Figure 22. Toledo square. Plaza Zocodover facing the historical building “Arco de Sangre”. Image (a) shows the analysed area. Image (b) shows the lighting measurements and wavelength level graphic obtained from the spectrometer measurements in image (a). In the photospectrometer image (b), the blue colour represents the short wavelength, and the red colour represents the longest wavelength.
Urbansci 09 00386 g022
Figure 23. Toledo square. Plaza Zocodover facing an area with restaurants and terraces. Image (a) shows the analysed area. Image (b) shows the lighting measurements and wavelength level graphic obtained from the spectrometer measurements in image (a). In the photospectrometer image (b), the blue colour represents the short wavelength, and the red colour represents the longest wavelength.
Figure 23. Toledo square. Plaza Zocodover facing an area with restaurants and terraces. Image (a) shows the analysed area. Image (b) shows the lighting measurements and wavelength level graphic obtained from the spectrometer measurements in image (a). In the photospectrometer image (b), the blue colour represents the short wavelength, and the red colour represents the longest wavelength.
Urbansci 09 00386 g023
Figure 24. Pie chart. Survey results from question #7. Author: Nubi León Martínez.
Figure 24. Pie chart. Survey results from question #7. Author: Nubi León Martínez.
Urbansci 09 00386 g024
Figure 25. Pie chart. Survey results from question #9. Author: Nubi León Martínez.
Figure 25. Pie chart. Survey results from question #9. Author: Nubi León Martínez.
Urbansci 09 00386 g025
Figure 26. Pie chart. Survey results from question #10. Author: Nubi León Martínez.
Figure 26. Pie chart. Survey results from question #10. Author: Nubi León Martínez.
Urbansci 09 00386 g026
Table 1. Comparison of lighting levels at different points of Gran Vía. Measurements taken at 1 m above the floor.
Table 1. Comparison of lighting levels at different points of Gran Vía. Measurements taken at 1 m above the floor.
LocationIlluminanceCCTWavelength Peaks
nm
Blue Level
%
Luxes—lxFoot Candles—fc
1Plaza Gran Vía1341229896507.53
2GV 2730828848947028.60
3GV 33251234879470 and 65015.79
4GV 4926922506274470 and 65018.58
5Plaza Callao20122946500.00
Table 2. Comparison of lighting levels at different points of Toledo. Measurements taken at 1m above the floor.
Table 2. Comparison of lighting levels at different points of Toledo. Measurements taken at 1m above the floor.
LocationIlluminanceCCT
K
Wavelength Peaks
nm
Blue Level
%
Luxes—lxFoot Candles—fc
1Tornería street #232021646300
2Cuesta de Carlos V #910030986300
3Plaza Zocodover, view towards Z#69034516300
4Plaza Zocodover, view towards Comercio street17123856300
Table 3. Comparison of lighting levels between Gran Vía, in Madrid, and the indicated streets in Toledo. Measurements were taken at 1 m above the floor. The turquoise colour indicates the highest lux level. The yellow colour indicates the lowest lux level.
Table 3. Comparison of lighting levels between Gran Vía, in Madrid, and the indicated streets in Toledo. Measurements were taken at 1 m above the floor. The turquoise colour indicates the highest lux level. The yellow colour indicates the lowest lux level.
MadridLocationIlluminanceCCT
K
Wavelength Peaks
nm
Blue Level
%
lxfc
1Plaza Gran Vía1341229896507.53
2GV 2730828848947028.60
3GV 33251234879470 and 65015.79
4GV 4926922506274470 and 65018.58
5Plaza Callao20122946500.00
ToledoLocationIlluminanceCCT
K
Wavelength Peaks
nm
Blue Level
%
LxFc
1Tornería street #232021646300
2Cuesta de Carlos V #910030986300
3Plaza Z, view towards Z#69034516300
4Plaza Z, view towards Comercio st.17123856300
Disclaimer/Publisher’s Note: The statements, opinions and data contained in all publications are solely those of the individual author(s) and contributor(s) and not of MDPI and/or the editor(s). MDPI and/or the editor(s) disclaim responsibility for any injury to people or property resulting from any ideas, methods, instructions or products referred to in the content.

Share and Cite

MDPI and ACS Style

Leon Martinez, N.; Valiente Lopez, M. Analysis of Exposure to ALAN (Artificial Light at Night) in the Urban Space of Madrid and Toledo (Spain) and Its Impact on Human Circadian Rhythms: “Circadian Neurolighting”. Urban Sci. 2025, 9, 386. https://doi.org/10.3390/urbansci9090386

AMA Style

Leon Martinez N, Valiente Lopez M. Analysis of Exposure to ALAN (Artificial Light at Night) in the Urban Space of Madrid and Toledo (Spain) and Its Impact on Human Circadian Rhythms: “Circadian Neurolighting”. Urban Science. 2025; 9(9):386. https://doi.org/10.3390/urbansci9090386

Chicago/Turabian Style

Leon Martinez, Nubi, and Mercedes Valiente Lopez. 2025. "Analysis of Exposure to ALAN (Artificial Light at Night) in the Urban Space of Madrid and Toledo (Spain) and Its Impact on Human Circadian Rhythms: “Circadian Neurolighting”" Urban Science 9, no. 9: 386. https://doi.org/10.3390/urbansci9090386

APA Style

Leon Martinez, N., & Valiente Lopez, M. (2025). Analysis of Exposure to ALAN (Artificial Light at Night) in the Urban Space of Madrid and Toledo (Spain) and Its Impact on Human Circadian Rhythms: “Circadian Neurolighting”. Urban Science, 9(9), 386. https://doi.org/10.3390/urbansci9090386

Article Metrics

Back to TopTop