Digital Twin and Wearables Unveiling Pedestrian Comfort Dynamics and Walkability in Cities DOI Creative Commons
Marcel Ignatius,

Joie Lim,

Ben Gottkehaskamp

и другие.

ISPRS annals of the photogrammetry, remote sensing and spatial information sciences, Год журнала: 2024, Номер X-4/W5-2024, С. 195 - 202

Опубликована: Июнь 27, 2024

Abstract. This research examines the interplay of outdoor thermal comfort, walkability, and three-dimensional geospatial landscape within cities. Employing advanced data collection methods, including smart wearables street view imagery (SVI), we conduct a comprehensive exploration integrating heterogeneous sensor computer vision in an urban digital twin (UDT) develop. We focus on integrated walk concept, where participants, equipped with wearables, contribute health metrics real-time sensation feedback while walking along selected routes for which collect detailed 3D geoinformation, turn provides foundation understanding improving comfort walkability Our study not only addresses integration, but also underscores transformative role analytics UDT deciphering how morphology influences experiences. While growing accessibility wearable devices facilitates work such as ours, highlight challenges collecting diverse participant imperative need specialized expertise vision. contributes to (1) twins, providing novel combination integration new use case, (2) climatology, advancing our relationship among microclimate, environment, comfort. Beyond theoretical contributions, study’s practical significance is revealed development accurate predictive models promising improvements quality life, pronouncing important geoinformation domain.

Язык: Английский

On the performance of human thermal stress models in the outdoors against observations DOI Creative Commons
Roberta Jacoby Cureau, Ilaria Pigliautile, Ioannis Kousis

и другие.

Energy and Buildings, Год журнала: 2025, Номер unknown, С. 115837 - 115837

Опубликована: Май 1, 2025

Язык: Английский

Процитировано

0

A Practical Mobile Measurement Approach for Urban Climate Data Collection: Proposing a Method to Investigate the Cooling Effect of Urban Green Areas in Joondalup, Western Australia DOI
Saman Galalizadeh, Angus Morrison‐Saunders, Richard Silberstein

и другие.

Urban forestry & urban greening, Год журнала: 2025, Номер unknown, С. 128891 - 128891

Опубликована: Май 1, 2025

Язык: Английский

Процитировано

0

Urban green spaces and variation in cooling in the humid tropics: The case of Paramaribo DOI Creative Commons
Lisa Best, Nina Schwarz,

Davita Obergh

и другие.

Urban forestry & urban greening, Год журнала: 2023, Номер 89, С. 128111 - 128111

Опубликована: Окт. 7, 2023

The urban climate affects more than half the world's population, and green spaces are considered a nature-based solution to alleviate heat island effect adapt cities change. Knowledge on cooling draws mostly data from temperate climates, similar research in humid tropical climates often focuses dry season. This study presents year-round temperature humidity for sixteen stationary sensors Paramaribo, capital of Suriname, remotely sensed land surface temperatures these locations. Analysis was done diurnal seasonal dynamics, extent space relation between locational characteristics micro-climate. Results show up 2.5ºC with distinct patterns, that locations exhibiting stronger during day have smaller ranges about 4ºC at night compared 5-7ºC other Locations trees complex vegetation structure 1-5ºC lower locations, but this decreases when ratio impervious surfaces increases. Land differences vegetated built-up areas reach 2.5ºC. High correlations found among micro-climate indicators imply easier comparison studies using any indicators, even if not same ones. longer term collected our enables investigating taking into account seasonality typical humid-tropics finds can help Caribbean region extremes, despite high humidity. Our further provides an example overcoming scarcity contributes developing strategies mitigating increasing heat-related health risks tropics.

Язык: Английский

Процитировано

6

Using Data-Driven Feature Engineering Algorithms to Determine the Most Critical Factors Contributing to the Urban Heat Island Effect Associated with Global Warming DOI
Ghiwa Assaf, Rayan H. Assaad

Computing in Civil Engineering, Год журнала: 2024, Номер unknown, С. 1055 - 1062

Опубликована: Янв. 25, 2024

Urban clusters are areas with high building and infrastructure concentration limited green natural landscapes. Since buildings, bridges, roads, other absorb heat from the sun re-emit it to atmosphere, urban becoming "islands" that have higher temperature compared rural surrounding areas. This phenomenon is known as island (UHI) effect, which associated global warming generated increased human activities. While previous studies examined potential factors could affect heat-related challenges, little-to-no research prioritized these using a data-driven approach. To address this knowledge gap, paper determined most critical contribute UHIs feature selection- machine learning-based methods. First, dataset was collected developed for all census tracts in state of New Jersey relation 14 impact UHI effect. These considered independent variables, while average day intensity each tract dependent variable. Second, engineering algorithms were implemented extract or identify prominent factors. Third, ranked prioritized. The results prioritization ranking different based on multiple so robust conclusions be obtained. study serves useful reference decision-makers involved addressing challenges resulting by offering better understanding important need controlled managed.

Язык: Английский

Процитировано

2

Digital Twin and Wearables Unveiling Pedestrian Comfort Dynamics and Walkability in Cities DOI Creative Commons
Marcel Ignatius,

Joie Lim,

Ben Gottkehaskamp

и другие.

ISPRS annals of the photogrammetry, remote sensing and spatial information sciences, Год журнала: 2024, Номер X-4/W5-2024, С. 195 - 202

Опубликована: Июнь 27, 2024

Abstract. This research examines the interplay of outdoor thermal comfort, walkability, and three-dimensional geospatial landscape within cities. Employing advanced data collection methods, including smart wearables street view imagery (SVI), we conduct a comprehensive exploration integrating heterogeneous sensor computer vision in an urban digital twin (UDT) develop. We focus on integrated walk concept, where participants, equipped with wearables, contribute health metrics real-time sensation feedback while walking along selected routes for which collect detailed 3D geoinformation, turn provides foundation understanding improving comfort walkability Our study not only addresses integration, but also underscores transformative role analytics UDT deciphering how morphology influences experiences. While growing accessibility wearable devices facilitates work such as ours, highlight challenges collecting diverse participant imperative need specialized expertise vision. contributes to (1) twins, providing novel combination integration new use case, (2) climatology, advancing our relationship among microclimate, environment, comfort. Beyond theoretical contributions, study’s practical significance is revealed development accurate predictive models promising improvements quality life, pronouncing important geoinformation domain.

Язык: Английский

Процитировано

2