1. Introduction
The rapid expansion of urban areas has induced substantial alterations in the environmental landscape, marked by a decline in green spaces juxtaposed with an upsurge in built structures. This confluence of urban form and function has intricated interplays with the atmosphere, often stemming from inadvertent human activities. Consequently, the resultant microclimatic ramifications arising from this nexus continue to pose a challenge [
1]. Living organisms, responding to atmospheric vagaries, undergo transformations that reciprocally impact the environment itself [
2].
The quest for open spaces within urbanized settings has become conspicuously apparent, propelling research endeavors investigating the thermal dynamics within cities’ constructed areas. This surge in studies underpins the burgeoning field of human bioclimatology [
1,
3], notably due to the heightened impact of climate change experienced within urban centers, marked by extreme meteorological events and abrupt temperature fluctuations [
4]. Hence, the development of precise and effective methodologies for meteorological observations in outdoor urban environments becomes imperative [
5].
Fixed weather stations stationed at specific urban points may exhibit limitations in comprehensively delineating microclimate conditions, owing to constraints such as accuracy, time, and cost. Consequently, they serve as adjuncts providing supporting references for research [
6,
7], corroborated by [
5] and [
8]. In this context, measurements of atmospheric variables via mobile traverses, whether on foot or using vehicles (bicycles, motorcycles, or cars), offer a more nuanced portrayal of the built environment than official stations, especially when conducted via bicycles [
9].
It is pertinent to note that recent scholarly research has showcased the efficacy of mobile measurements using bicycles in comprehending urban microclimates, albeit this method remains relatively underutilized. Its simplicity of application and low maintenance costs present promising avenues, although the technology’s widespread implementation remains limited. Nonetheless, it has already exhibited success in discerning climatic variations in diverse urban morphologies [
6]. Such studies hold the potential to unravel intricate temperature patterns within microclimates, encompassing aspects of thermal comfort, heat islands, and cool zones.
In investigations delving into the urban thermal environment, a profound grasp of urban morphology assumes paramount importance in understanding how specific environmental qualities elicit varied human responses across different times of the day and seasons [
10]. The academic landscape has introduced methodologies such as Local Climate Zones (LCZ), Sky View Factor (SVF), and surface temperature maps, facilitating this understanding [
6,
11,
12,
13,
14].
In pursuit of innovative methodologies for deciphering the urban thermal landscape, the Systematic Review stands out as a research tool distinct from conventional methods, consolidating and disseminating scientific findings that enrich the repository of knowledge. Serving as a comprehensive platform for consolidating insights, the systematic review aids in refining and advancing specific approaches [
15,
16].
Given the demonstrated efficiency of mobile measurement methodologies in research and their underutilization in gathering environmental data within urban settings, this work aims to conduct a systematic review aggregating research in the urban thermal environment. Such an endeavor seeks to foster the popularization and refinement of this methodological approach through a comprehensive synthesis of existing knowledge.
2. Materials and Methods
The systematic review occurs in several stages, but it is up to each author to select the criteria that best reflect their study. Such procedures elevate this study to the same level as the research it reviews [
15].
There are four critical stages for a systematic review construction [
15]: (1) strict eligibility criteria define the population, or "universe," of studies about which the review aims to generalize; (2) a representative sample of this universe is retrieved from the literature via a logical search strategy; (3) essential information from each eligible item is extracted, coded, and combined into statistical outcome measures; and (4) the methods, results, and theoretical implications of the analysis are reported and discussed.
Following the same rationale, [
17], list seven critical measures used throughout this systematic study. They are as follows: 1 - Question formulation, 2 - Study location and selection, 3 - Study critical assessment, 4 - Data collection, 5 - Data analysis and presentation, 6 - Data interpretation, and 7 - Review improvement and updating.
The question was formulated in the first step. This stage was critical in carrying out the full study, since it needed to be well formulated and simple to grasp [
18]. In this regard, the issue is, "For what analysis methods are bicycles being adopted as a mobile measurement instrument for environmental variables in work related to the urban thermal environment?" This allowed us to consider the keywords that led the research. The selection of keywords is an important search strategy for carrying out the second stage. The following keywords were used: mobile measurements, bicycle, thermal effects, and microclimate.
For the second stage, studies were found and chosen, and the words were translated into English and added to the Connected Papers platform, which provides a general and visual overview of various academic fields as well as building a graph of similar articles with popular works on the topic of interest [
19]. Science Direct and Scopus were also used in addition to this platform. The platforms chosen were chosen because they are well-regarded, with the belief that this stage is critical since it is the platform that will add to the available work on the issue covered [
17].
The papers were then critically examined (step 3), with the titles first read. Titles that obviously departed from the notion of thermal effects were rejected, as were those that did not employ mobility measurements with a bicycle (cars or on foot were omitted) for other objectives. Some people utilized the bicycle to learn about air quality, which was not the goal of this study, as well as other issues that did not fit, which were also removed. When reading the titles, those that could somehow fit into a research subject connected to the urban thermal environment and that either stated or indicated the usage of bicycles were taken into account.
The titles that were chosen were divided so that the abstracts could be read. The same selection and exclusion rationale was used for abstracts as it was for titles. It was already possible to identify works that used bicycles for mobile measurements in thermal environment research by reading the abstracts; however, some still did not specify in the abstracts which methodology they had used for carrying out mobile measurements (car, motorcycles, bicycles, or walking), so these works were also selected alongside the others so that a complete reading could occur. After thoroughly reviewing the publications, it was possible to decisively pick those studies that employed bicycles to gather environmental data in order to analyze the urban thermal environment, which were used in this research.
Author and year, city/country, continent, local climate according to Köppen [
20], season of the year, period of the day for mobile collection, number of collection days, and analysis methods for defining urban morphology based on specific objectives were obtained from the studies (step 4 and 5). As mentioned in the research, issues such as equipment mounted to bicycles during mobile measurements, stationary stations, and exposure to the air environment were also considered. The research’s findings and discussions, were provided in the form of tables, graphs, and explanations for this purpose (step 5, 6 and 7).
Chapter 4.5 was created to provide other works that employed the bicycle to measure environmental factors in the urban thermal environment that were not discovered using the keywords. Such works were discovered through prior information, study conducted using other methods, and, most importantly, by monitoring references listed in research that employed the approach of mobile measurements using a bicycle.
3. Results
3.1. Selected Articles
After entering the keywords into the platforms, 414 papers were found in Connected Papers, 57 in Science Direct, and 7 in Scopus. In all, 478 items were discovered (
Table 1).
According to
Table 1, after reading all 478 titles (100%) identified, 193 (about 40%) were chosen to read the abstract and 286 (roughly 60%) were rejected because they did not satisfy expectations. After reading the abstracts, 157 (about 81%) were chosen for full reading, while 36 (about 19%) were rejected because they did not suit the theme. It is worth noting that just 13 (roughly 3%) of the 478 (100%) original titles were selected to continue the investigation.
To resume this information, the graph in the
Figure 1 reveals that 77% (10) of the 13 papers chosen were located in Connected Papers, 15% (2) in Scopus, and just 8% (1) in Science Direct. Four papers were removed from the Scopus selection because they had already published on the Connected Papers platform.
3.2. Data Collection
Following the selection of the 13 publications, data such as author/year, city/country, continent, climate, major purpose, season, period of the day, collecting days with mobile measurements, and microclimate characterizers were gathered, as shown in
Table 2.
4. Discussion
4.1. Publication Dates
The first article found through the platforms was published in 2011 (
Figure 2).
The graph illustrates a notable trend indicating an increase in the publication of papers utilizing bicycle-based approaches for mobile measurements over time. Until 2021, the annual output remained consistently low, with just one article published each year. However, after 2021, there was a significant surge in publications, surpassing the previous decade’s numbers. This trend clearly indicates that despite being a relatively new approach, its utilization has been historically limited.
The rising number of articles produced annually following 2021 suggests a potential shift towards increased adoption and exploration of this methodology. If this trajectory continues, it implies a growing interest and potential for further development and application of bicycle-based mobile measurements in research related to the urban thermal environment on an international scale in the forthcoming years.
4.2. Geographic Location and Climate
Figure 3 presents the geographic spatiality of the research found that used mobile transects with bicycles.
The disparity between the Southern and Northern Hemispheres is evident in
Figure 3, illustrating a pronounced concentration of works predominantly originating from the Northern Hemisphere. Notably, the preponderance of these works (7) emanated from var-ious European nations, including Greece, the Czech Republic, Italy, the Netherlands, Bel-gium, and two studies from France. In North America, three studies were identified, all of which were conducted in the United States. Asia contributed only one study, situated in South Korea, while South America yielded two studies conducted in Brazil.
Regarding climatic classifications based on the Köppen system [
20], the research encompassed a diverse spectrum of climatic conditions. Mobile measurements were sourced from eight distinct climate types: Cfb, DWa, Cfa, Dfb, Csc, Bwh, Dfa, Csa, and Am. Notably, a predominant focus was observed in hot climate zones, notably with five studies centered on Cfb, while the remaining climate types were each represented in one study. Additionally, a separate investigation on thermal environments within densely populated metropolitan areas highlighted a similar emphasis on temperate climatic zones (group C) [
21].
4.3. Researches Found
Given the recent rise of urban centers, the demand for open spaces in urbanized regions is clear, stressing the need for even more study including the thermal environment [
1,
3]. Although some studies had the primary goal of examining human thermal comfort [
5,
6,
22] or islands of coolness [
23,
24], each research had its own unique characteristics.
The impact of horizontal and vertical nighttime cooling of a small park with irrigated grass and dry surfaces on a university campus in the Phoenix metropolitan region was investigated [
24]. Temperature data collected on a bicycle mobile transect were integrated with spatial temperature data modeled in ENVI-Met 3.1. Variations in the thermal characteristics of the surface, urban geometry, building orientation, and soil humidity were all important for determining the distinct urban and non-urban temperatures near to the surface.
The first work discovered through the searches in the Southern Hemisphere was done in Rio de Janeiro, Brazil [
25]. The primary goal was to investigate the overall human reaction of the local population to the climatic peculiarities of Rio de Janeiro, as well as to identify certain intervention options in urban morphology that may lead to greater environmental comfort.
Psychological effects of urban green spaces on perceived thermal comfort, as well as the physical conditions of thermal comfort of green spaces in comparison to other urban locations in the city using micrometeorological measurements taken on a bicycle. Questionnaires were used to evaluate residents’ long-term perceptions of thermal comfort on hot summer days in three Dutch cities [
26].
The midday cooling impact of Utrecht’s green areas was investigated in order to uncover physical evidence to support the experience of thermal comfort. The bicycle was outfitted with micrometeorological sensors, and the temperature conditions in 13 parks were compared to those in the city center and open pastures outside the city.
There was also a comparison of temperature conditions and park spatial characteristics (size, tree canopy, and plant protection against wind). To establish distinctions, air temperature (Ta), mean radiant temperature (Tmrt), and physiological equivalent temperature (PET) were measured during the day in urban parks, the city center, and open fields outside the city on hot summer days.
A study in Ohio, USA, validated a bicycle for use in mobile measurements, allowing mobility within the city to analyze physical and thermal qualities [
8]. Microclimatic data were gathered during the warmest portion of the day to evaluate how physical factors (solar radiation, albedo, sky view factor, vegetation) influenced local changes in soil and air temperatures. The kinds of land surface temperature and land cover explained the variance in air temperatures, while solar radiation and albedo helped to explaining the variation in land surface temperatures throughout the transect.
Another research using bicycles to conduct mobile assessments of thermal comfort in the Athens metropolitan region [
22]. The transects were completed in a single day, at midday and at night. The Envi-Met model was used to simulate surface, plant, and air interactions in an urban context. Air temperature, relative humidity, wind speed, global temperature, and global solar radiation were all measured. For the analyses, the PET index was employed.
A bicycle for mobile measurements in the city of Olomouc was employed to look for hot and cold places by analyzing air temperature in distinct Local Climatic Zones (LCZs) throughout the summer, autumn, and winter. The findings revealed that the microclimate and local climate had a considerable impact on temperature [
27].
[
28], proposes to explore the contribution of predictor factors to the modeling of air temperature and measurement error by addressing data gathering methods and statistical processes. Furthermore, the research intends to enhance urban planning in the context of climate change and to mitigate Urban Heat Islands.
Research in Dijon, Eastern France, using mobile measurements on a bicycle equipped with environmental variables equipment to quantify the effect of urban design on microscale air temperature fluctuation [
29]. The trek was completed over the course of 33 spring and summer evenings. Based on analysis of variance, the influence of urban design and land cover on air temperatures was evaluated using land cover and LCZs.
To explore the impacts of canyons and urban environment on air temperature and exterior thermal comfort in a Seoul open plaza, another research using bicycle was used [
5]. To assess the accuracy of the mobile approach, data from mobile bicycle measures taken in October at 2pm and 3pm were compared to those from stationary measurements. The effects of the spatial parameters of the urban plaza and local street were investigated using air temperature and Physiological Equivalent Temperature (PET).
During the summer, [
6] employed the bicycle to investigate the degree of human thermal (dis)comfort in connection to the various microclimates prevalent around the cycling lanes in Balneário Camboriú, Brazil. The Physiological Equivalent Temperature (PET) and Universal Thermal Climate Index (UTCI) indices were used to measure outdoor thermal comfort, while the Local Climatic Zones (LCZ) and Sky View Factor (SVF) were employed to establish urban form. During the summer, data on environmental variables such as air temperature, relative humidity, and global temperature collected by mobile transects on bicycles are integrated with data from permanent stations in the city.
Measurements in the urban microclimate and details of a hardware and software components application as a methodology for one research was employed to build a mobile transect [
4]. The approaches were evaluated in the Italian city of Bolzano, confirming their applicability for recognizing the geographical variability of the microclimate in connection to urban morphology, as well as emphasizing the presence and assessing the severity of the urban heat island.
Mobile bicycle transects were done in Golden Gate Park and neighboring residential districts in San Francisco, CA, from July to October 2012, when temperatures were at their highest [
23]. Air temperature, relative humidity, sun radiation, and radiometric surface temperature were all measured.
The goal was to assess the spatial variability in near-surface temperature profiles at these places and on neighboring surfaces. The magnitude of so-called "park cool islands" (PCI) was studied for various types of park land use, at different times of day, during different regional-scale weather conditions, and across the entire range of heights that a human body can experience, as well as humidity differences and the likely drivers of PCI in the urban park.
More comprehensive temperature drop correction approach for mobile readings was researched and tested using bicycle [
30]. Temperature evolution may be greatly influenced by the environment, and the link between land cover and temperature was taken into consideration during the period of bicycling readings in two Belgian towns.
4.4. Bicycle Measurements: Studies in the Thermal Environment
The approach of mobile transects using bicycles was discovered to be relatively new, with the first study discovered across all three platforms in 2011 [
24]. Several studies cited that their objectives were also to validate measurement with the bicycle [
5,
6,
8], this may occur due to the fact that no work of this kind could have been carried out in their locality, as well as no work that used bicycles for this purpose could have been found.
The grounds for utilizing the bicycle to assess environmental factors were the inexpensive cost of the supplies, as well as the bicycle’s ability to reach locations that other forms of vehicles could no longer access. Another aspect highlighted was the fact that utilizing a bicycle would be more sustainable and would produce less pollution than other sorts of techniques, not to mention that measures using vehicles, for example, suffer from greater traffic, which might impede research efforts.
As indicated in graph of
Figure 5, the major goals of the research that employed the bicycle for mobile measurements in urban thermal settings were to explore thermal comfort with 38% (5) and temperature with 38% (5), urban cooler island 15% (2) and urban heat island 8% (1).
Graph in
Figure 6 demonstrates that the majority of mobile measurements happened solely during the day, with 62% (8) occurring during the day, 15% (2) occurring at night, and 23% (3) occurring both during the day and at night.
In terms of the time of day when the measurements are taken, it is worth mentioning that the majority of the studies were conducted during the day.
Table 2 demonstrated that the selection of the collection period did not follow a consistent trend.
In terms of seasons, it is easy to see that 54% (7), or more than half of the works, decided to conduct out collections in the summer, with autumn following closely after with 15% (2) and just 8% (1) of the works presenting the other sets of stations shown in
Figure 7.
The most used urban morphology characterizer in the study was SVF (34%), followed by ENVIMET (25%), LCZ (17%), and 3D SKYVIEW, SKYEF, and Bodembed Ekkingskaart (8%), (
Figure 8)
.
The detailing of information on equipment, software, and atmospheric weather choices for carrying out mobile measurements differed according to the core purpose of each study discovered, with some offering more detail than others. Furthermore, depending on the primary goal of the investigations, the equipment linked to bicycles in study differ substantially (
Figure 9). In the urban thermal environment, research is often conducted using specified criteria for each approach, with measuring instruments varied.
Some studies showed photographs of bicycles with equipment mounted, however each research was unique based on the instruments used for measurements. Several tests revealed that the equipment should be higher than 1.25-2.00 meters above ground level to minimize interference from the ground and the pilot [
4,
6,
8,
22].
Furthermore, studies documented the use of stationary meteorological stations, in addition to mobile readings, to quantify the average temperature environment, as well as minimizing potential inaccuracies through comparisons of the accuracy of equipment mounted to bicycles with official weather stations [
4,
6,
22].
In terms of the atmospheric environment, some researchers choose to schedule mobile measurements that take sun radiation into consideration because it is a key component of the study [
6,
8,
27] Others reported picking days with no precipitation for observations [
27], calibration of dattaloggers, and wind speed readings corrected for cycling speed were also taken into account [
6,
26].
4.5. Other Studies
During the investigation, a significant finding was discovered. There were works that used the bicycle as a means of measuring environmental variables in the urban thermal environment, but they were not found based on the keywords defined in this work, so the need to present them arose due to the importance and relevance of their results. It is worth emphasizing here that there may be a constraint encountered while carrying out the measures that were taken.
The bicycle was employed in a 1998 study in two cities with differing summer climates: Vancouver, Canada, and Sacramento, CA, USA. Although it was not the sole way of carrying out mobile measurements in this investigation. The temperature regime of urban parks was investigated. To quantify the amount of park-related coolness, surface and air temperatures were remotely measured from permanent stations as well as movable automobile and bicycle crossings. The bicycle was employed in certain study in Vancouver because it allowed access to the interiors of parks and some roadways. A sensor put on the front of the bicycle was used to monitor air temperature [
31].
Research to evaluated the frequency of use of mode of transport by cyclists classed as both commuting and leisure riders under particular atmospheric settings in the city of Vienna, Austria was conducted [
32]. Statistical approaches and the PET index were used, which revealed that leisure cyclists are more susceptible to weather than commuters/commuters.
Between March 2006 and January 2009, mobile temperature and humidity measurements were taken along a bicycle transect in the Dutch city of Utrecht. To explain the mean intensity profiles and maximum nighttime ICU of the city in relation to the Sky View Factor, two multiple linear regression models were developed [
33].
A study in 2014 in which meteorological data were taken on a bicycle in Rotterdam to examine the regional change of temperature throughout a tropical day [
34]. The researchers assessed Urban Heat Islands and their geographic variability in urban canyons, linking them to urban form. A multiple linear regression model was built using cross-sectional observation data and verified with 3-year summer ICU statistics taken from four fixed urban and two fixed rural weather sites.
To attempted to assess the thermal comfort of spectators along a Tokyo Olympic marathon course in 2019 [
35]. The study demonstrated how numerous environmental elements might influence human thermal comfort. It was feasible to determine air and surface temperature, solar radiation, humidity, and wind speed using mobile measurements taken with a bicycle along the marathon course over 15 days in the summer of 2016, in conjunction with the usage of the Sky View Factor (SVF).
Mobile measurements on a bicycle to assess the interplay of canopy cover and impervious surface cover on daytime urban air temperature throughout the summer were made [
36]. In a medium-sized setting in a city in the Upper Midwest of the United States, ten transects were carried out with measurements every 5 meters encompassing a range of impervious cover and canopy.
5. Conclusions
The systematic review showed effective in attempting to comprehend previous research in scientific circles that employed the approach of mobile measurements using bicycles. A total of 13 publications were discovered through a search on three well-known sites in worldwide academia. Because the great majority of works were published in the Northern Hemisphere, in Europe, it was feasible to recognize that there is a very huge gap to be filled with works of this scale throughout the world through this endeavor. It was also feasible to see that the number of publications published in the previous two years that employed this approach has been increasing, suggesting a growth in this research in the next years.
Concerning the most significant constraint discovered in the search, it is worth mentioning that keywords, when combined, may not reveal all accessible articles on the topic; hence, they must be carefully evaluated, as they will guide the whole search. In this regard, it is critical to pay attention to the stage referring to the study’s location, as the higher the search means indicated in the technique, the better the precision. The systematic review is rigorous, but its architecture is established by the researcher himself based on his aim, making it pliable and allowing this constraint to be addressed. It is also worth noting that other research that employed bicycles to investigate environmental factors in urban contexts that were not included in this paper may exist.
In the future, it is envisaged that the systematic review will progressively contribute to future research that will use bicycles to conduct mobile measurements since they are efficient, low-cost, and easily accessible. As a consequence, future results will be more precise and the approach will be improved.
Author Contributions
Conceptualization, L.W., C.A.W and J.P.A.G.; methodology, L.W., C.A.W., I.T.C., A.C.I., A.N.S, O.F.B. and J.P.A.G.; software, L.W. and C.A.W.; validation, L.W., C.A.W., I.T.C., A.C.I., A.N.S, O.F.B. J.P.A.G., S.S. and A.M.; formal analysis, A.M. and S.S.; investigation, L.W. and C.A.W.; resources, L.W. and C.A.W.; data curation, L.W., C.A.W. and I.T.C.; writing—original draft preparation, L.W. and C.A.W.; writing—review and editing, L.W., C.A.W., S.S. and A.M.; visualization, C.A.W., S.S. and A.M.; supervision, C.A.W., J.P.A.G., S.S. and. A.M.; project administration, C.A.W.; funding acquisition, C.A.W. and S.S. All authors have read and agreed to the published version of the manuscript.
Funding
This study was financed in part by the Coordenação de Aperfeiçoamento de Pessoal de Nível Superior-Brasil (CAPES)-Finance Code 001. Conselho Nacional de Desenvolvimento Científico e Tecnológico (CNPq) for proving the Research and Productivity research: grant process number 306505/2020-7.
Acknowledgments
We thank the Conselho Nacional de Desenvolvimento Científico e Tecnológico (CNPq) for proving the Research and Productivity research: grant process number 306505/2020-7.
Conflicts of Interest
The authors declare no conflict of interest.
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