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Toward a Cross-Platform Framework: Assessing the Comprehensiveness of Online Rental Listings

Costa, Ana; Sass, Victoria; Kennedy, Ian; Roy, Roshni; Walter, Rebecca J.; Acolin, Arthur; Crowder, Kyle; Hess, Chris; Ramiller, Alex; Chasins, Sarah. (2021). Toward a Cross-Platform Framework: Assessing the Comprehensiveness of Online Rental Listings. Cityscape, 23(2), 327 – 339.

Abstract

Research on rental housing markets in the United States has traditionally relied on national or local housing surveys. Those sources lack temporal and spatial specificity, limiting their use for tracking short-term changes in local markets. As rental housing ads have transitioned to digital spaces, a growing body of literature has utilized web scraping to analyze listing practices and variations in rental market dynamics. Those studies have primarily relied on one platform, Craigslist, as a source of data. Despite Craigslist's popularity, the authors contend that rental listings from various websites, rather than from individual ones, provide a more comprehensive picture. Using a mixed-methods approach to study listings across various platforms in five metropolitan areas, this article demonstrates considerable variation in both the types of rental units advertised and the features provided across those platforms. The article begins with an account of the birth and consolidation of online rental platforms and emergent characteristics of several selected websites, including the criteria for posting, search parameters, search results priority, and first-page search results. Visualizations are used to compare features such as the 40th percentile of rent, rent distribution, and bedroom size based on scraped data from six online platforms (Padmapper, Forrent.com , Trulia, Zillow, Craigslist, and GoSection8), 2020 Fair Market Rents, and 2019 American Community Survey data. The analyses indicate that online listing platforms target different audiences and offer distinct information on units within those market segments, resulting in markedly different estimates of local rental costs and unit size distribution depending on the platform.

Evaluation of Sky Spectra and Sky Models in Daylighting Simulations

Inanici, M; Abboushi, B; Safranek, S. (2022). Evaluation of Sky Spectra and Sky Models in Daylighting Simulations. Lighting Research & Technology, 1.

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Abstract

Sky models in daylight simulations represent the luminance variation across the sky-dome for different locations, dates, times and weather conditions, but skies are typically modelled as colourless. Recent studies explore techniques for incorporating the spectral content of daylighting in simulations. This paper provides an evaluation of the existing spectral sky models in lighting simulation software. The comparisons are made between the available mathematical sky models and naturally occurring skies that were recorded using high dynamic range photography and spectrophotometric measurements. The results show that recently developed sky models present progress compared to colourless sky models, but further research is needed to accurately simulate daylight spectra. [ABSTRACT FROM AUTHOR]; Copyright of Lighting Research & Technology is the property of Sage Publications, Ltd. and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)

Quantifying the Impact of Facilitation on Transactive Memory System Formation in Global Virtual Project Networks

Comu, Semra; Iorio, Josh; Taylor, John E.; Dossick, Carrie Sturts. (2013). Quantifying the Impact of Facilitation on Transactive Memory System Formation in Global Virtual Project Networks. Journal Of Construction Engineering & Management, 139(3), 294 – 303.

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Abstract

Building strong ties between geographically dispersed project participants is crucial to project success. In global project networks, many firms have adopted virtual collaboration tools to address the challenges imposed by temporal and geographical distance. Some researchers have examined the role of facilitators and found that process facilitation can improve collaboration. Research has also shown that facilitators can be drawn into content interactions, which may negatively impact collaboration effectiveness in virtual workspaces. Research to date has not quantified this negative impact. In this study, the formation and maintenance of transactive memory systems (TMS) in two facilitated and two nonfacilitated global virtual project networks were investigated, each executing a 2-month project. Using TMS formation and cohesive subgroup formation as a proxy for performance, quantitative evidence was found that demonstrates a negative impact on collaboration effectiveness when facilitators engage in content facilitation in virtual project networks. This paper shows that this negative impact restricts the establishment of TMSs. These findings have important implications for understanding and designing appropriate facilitator interactions in global virtual project networks. DOI: 10.1061/(ASCE)CO.1943-7862.0000610. (C) 2013 American Society of Civil Engineers.

Keywords

Globalisation; Groupware; International Collaboration; Production Engineering Computing; Project Management; Process Facilitation; Transactive Memory System Formation; Global Virtual Project Network; Virtual Collaboration Tool; Temporal Distance; Geographical Distance; Content Interaction; Virtual Workspace; Tms Cohesive Subgroup Formation; Content Facilitation; Knowledge Transfer; Group Cohesiveness; Group Cohesion; Performance; Teams; Models; Globalization; Networks; Project Networks; Social Network Analysis; Transactive Memory Systems; Virtual Teams

Improved Fog Collection Using Turf Reinforcement Mats

Feld, Shara I.; Spencer, Benjamin R.; Bolton, Susan M. (2016). Improved Fog Collection Using Turf Reinforcement Mats. Journal Of Sustainable Water In The Built Environment, 2(3).

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Abstract

Impoverished communities are particularly vulnerable to increasing water scarcity. The development of low-cost technologies that improve access to unconventional water sources, such as the freshwater contained in fog, is one way to address water scarcity. Passive fog collectors, sited to maximize exposure to orographic and advection fog, are typically constructed using 35% Raschel mesh stretched within a structural frame. To assess improvements to this technology, the fog collection potential of nonwoven turf reinforcement mats ( TRM), underwent preliminary testing in a laboratory fog tunnel and more conclusive testing at a field site in Lima, Peru. In fog tunnel tests, both of the two tested TRM specimens increased fog collection yields over 35% Raschel mesh by 26 and 33% respectively. At one field site, the tested mats increased fog collection yields over 35% Raschel mesh by 62 and 75% respectively. At a second field site, these materials increased collection volumes over the 35% Raschel mesh by 146 and 178% respectively. Differences in TRM performance at different sites were likely due to different orientation to prevailing winds at the two test stations. This work suggests that nonwoven turf reinforcement mats have the potential to improve water access in arid, foggy low income communities. (C) 2016 American Society of Civil Engineers.

Keywords

Water; Efficiency; Fresh Water; Water Resources; Water Supply; Peru; Fog Capture

A GPS Data-based Analysis of Built Environment Influences on Bicyclist Route Preferences

Chen, Peng; Shen, Qing; Childress, Suzanne. (2018). A GPS Data-based Analysis of Built Environment Influences on Bicyclist Route Preferences. International Journal Of Sustainable Transportation, 12(3), 218 – 231.

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Abstract

This study examines the effects of built environment features, including factors of land use and road network, on bicyclists' route preferences using the data from the city of Seattle. The bicycle routes are identified using a GPS dataset collected from a smartphone application named CycleTracks. The route choice set is generated using the labeling route approach, and the cost functions of route alternatives are based on principal component analyses. Then, two mixed logit models, focusing on random parameters and alternative-specific coefficients, respectively, are estimated to examine bicyclists' route choice. The major findings of this study are as follows: (1) the bicycle route choice involves the joint consideration of convenience, safety, and leisure; (2) most bicyclists prefer to cycle on shorter, flat, and well-planned bicycle facilities with slow road traffic; (3) some bicyclists prefer routes surrounded by mixed land use; (4) some bicyclists favor routes which are planted with street trees or installed with street lights; and (5) some bicyclists prefer routes along with city features. This analysis provides valuable insights into how well-planned land use and road network can facilitate efficient, safe, and enjoyable bicycling.

Keywords

Cyclists; Mobile Apps; Multiple Correspondence Analysis (statistics); Traffic Engineering; Cycling; Bicycle Route Choice; Built Environment; Labeling Routes; Mixed Logit Model; Principal Component Analysis; Smartphone GPS Data; Choice Sets; Safe Routes; Walking; Models; Health; Infrastructure; Facilities; California; Networks

Urban Systems Design Case Study: Tokyo’s Sumida Ward

Tobey, Michael B.; Binder, Robert B.; Yoshida, Takahiro; Yamagata, Yoshiki. (2019). Urban Systems Design Case Study: Tokyo’s Sumida Ward. Smart Cities, 2(4), 453 – 470.

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Abstract

Meeting the needs of increasing environmental and systematic pressures in urban settlements requires the use of integrated and wholistic approaches. The Urban Systems Design (USD) Conceptual Framework joins the metric-based modeling of rationalized methods with human-driven goals to form a combined iterative design and analysis loop. The framework processes information for the fundamental element of cities-humans-to large-scale modeling and decision-making occurring in district- and ward-level planning. There is a need in the planning and design profession to better integrate these efforts at a greater scale to create smart communities that are inclusive and comprehensive in aspects from data management to energy and transportation networks. The purpose of this study is to examine the applicability of this method as it pertains to a model and design integrated approach. Northern Sumida Ward, located in Tokyo, exemplifies the contextualized needs of Tokyo, and Japan, while forming a coherent internal community. Focusing on methodology, our process explores the creation of typologies, metric-based analysis, and design-based approaches that are integrated into modeling. The results of the analyses provide initial evidence regarding the validity of the USD approach in modeling changes to complex systems at differing design scales, connecting various qualities of the built environment, building and urban forms, and diagnostic comparisons between baseline and change conditions. Because of some inconsistencies and the need for further evidence gathering, the methods and processes show that there is much work to be done to strengthen the model and to continue building a more productive field of USD. However, in this framework's continuing evolution, there is increasing evidence that combining the planning and design of urban systems creates a more resilient, economically viable, sustainable, and comfortable city.

Keywords

Urban Planning; Resilience; Sustainability; Economics; Human Factors; Tokyo; Planning Support System; Gis

Autonomous People: Identity, Agency, and Automated Driving

Dunn, Peter T. (2021). Autonomous People: Identity, Agency, and Automated Driving. Journal Of Urban Technology, 28(3-4), 25 – 44.

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Abstract

The prevailing discourse on autonomous vehicles (AVs) has not yet developed a sophisticated conceptualization of autonomy and has given insufficient attention to the autonomy of people. In response, this article shifts our attention away from the AV's autonomy and towards that of its user. Autonomy is conceived here as the socially and materially situated capacity of an individual to identify and act on one's own values and desires, a capacity that is desirable for collective political life. This definition is drawn selectively from a survey of thought illustrating the richness of this concept. I then examine how studies of transportation have already made use of certain themes of autonomy in understanding mobility practices beyond dominant utilitarian models. This sets up an examination of AVs, where the existing literature tends to use a narrow conceptualization of autonomy. I then briefly examine two examples of unsettled questions in AV development, discretionary user controls and shared ride systems, in light of autonomy. The goal of this article is both to show how autonomy can be productive in understanding mobility practices, and to argue for personal autonomy as a normative value worth pursuing in the technical, political, and social development of automated mobility systems.

Keywords

Car Use; Vehicles; Travel; Accidents; Policy; Autonomy; Agency; Autonomous Vehicles; Mobility

Farmers’ Strategies to Climate Change and Urbanization: Potential of Ecosystem-based Adaptation in Rural Chengdu, Southwest China

Zhong, Bo; Wu, Shuang; Sun, Geng; Wu, Ning. (2022). Farmers’ Strategies to Climate Change and Urbanization: Potential of Ecosystem-based Adaptation in Rural Chengdu, Southwest China. International Journal Of Environmental Research And Public Health, 19(2).

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Abstract

Ecosystem-based adaptation (EbA) is emerging as a cost-effective approach for helping people adapt to climate and non-climate changes. Nowadays, climate change and urbanization have affected agricultural systems, but it is not clear how rural communities have responded or adapted to those changes. Here, we chose two typical villages in the Chengdu Plain, southwest China, through sociological surveys on 90 local farmers with a semi-structured questionnaire, participatory observation, geospatial analysis of land use and land cover, and a literature review, to explore the local people's perception of changes or disturbances and their adaptation strategies from the perspective of EbA. The results showed that climate change and urbanization had impacted agricultural systems dramatically in the last 40 years. In two case-study sites, climate change and urbanization were perceived by most local farmers as the main drivers impacting on agricultural production, but various resource-use models containing abundant traditional knowledge or practices as well as modern tools, such as information communication technology (ICT), were applied to adapt to these changes. Moreover, culture service through the adaptive decoration of rural landscapes is becoming a new perspective for implementing an EbA strategy. Finally, our findings highlighted the potential value of an EbA strategy for sustaining urban-rural integrated development and enhancing the resilience of agricultural systems.

Keywords

Ecosystem-based Adaptation (eba); Chengdu Plain; Climate Change; Urbanization; Agricultural System; Traditional Knowledge Or Practice; Functioning Ecosystem; Agro-biodiversity; Resilience; Services; Diversity; Polls & Surveys; Spatial Analysis; Topography; Rural Communities; Biodiversity; Questionnaires; Adaptation; International Organizations; Land Use; Climate Change Adaptation; Canals; Irrigation; Land Cover; Ecosystems; Case Studies; Literature Reviews; Agriculture; Farmers; Environmental Economics; Sustainable Development; Rural Areas; Gross Domestic Product--gdp; Agricultural Production; Urban Areas; Cultural Heritage; China

Walking Objectively Measured: Classifying Accelerometer Data with GPS and Travel Diaries

Kang, Bumjoon; Moudon, Anne V.; Hurvitz, Philip M.; Reichley, Lucas; Saelens, Brian E. (2013). Walking Objectively Measured: Classifying Accelerometer Data with GPS and Travel Diaries. Medicine & Science In Sports & Exercise, 45(7), 1419 – 1428.

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Abstract

Purpose: This study developed and tested an algorithm to classify accelerometer data as walking or nonwalking using either GPS or travel diary data within a large sample of adults under free-living conditions. Methods: Participants wore an accelerometer and a GPS unit and concurrently completed a travel diary for seven consecutive days. Physical activity (PA) bouts were identified using accelerometry count sequences. PA bouts were then classified as walking or nonwalking based on a decision-tree algorithm consisting of seven classification scenarios. Algorithm reliability was examined relative to two independent analysts' classification of a 100-bout verification sample. The algorithm was then applied to the entire set of PA bouts. Results: The 706 participants' (mean age = 51 yr, 62% female, 80% non-Hispanic white, 70% college graduate or higher) yielded 4702 person-days of data and had a total of 13,971 PA bouts. The algorithm showed a mean agreement of 95% with the independent analysts. It classified PA into 8170 walking bouts (58.5 %) and 5337 nonwalking bouts (38.2%); 464 bouts (3.3%) were not classified for lack of GPS and diary data. Nearly 70% of the walking bouts and 68% of the nonwalking bouts were classified using only the objective accelerometer and GPS data. Travel diary data helped classify 30% of all bouts with no GPS data. The mean + SD duration of PA bouts classified as walking was 15.2 + 12.9 min. On average, participants had 1.7 walking bouts and 25.4 total walking minutes per day. Conclusions: GPS and travel diary information can be helpful in classifying most accelerometer-derived PA bouts into walking or nonwalking behavior.

Keywords

Walking; Algorithms; Decision Trees; Geographic Information Systems; Research Funding; Travel; Accelerometry; Diary (literary Form); Descriptive Statistics; Algorithm; Classification; Physical Activity; Walk Trip; Global Positioning Systems; Physical-activity; Environment; Behaviors; Validity; Location

Glareshade: A Visual Comfort-Based Approach to Occupant-Centric Shading Systems

Hashemloo, Alireza; Inanici, Mehlika; Meek, Christopher. (2016). Glareshade: A Visual Comfort-Based Approach to Occupant-Centric Shading Systems. Journal Of Building Performance Simulation, 9(4), 351 – 365.

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Abstract

This paper presents a novel method for designing of an occupant-centric shading algorithm that utilizes visual comfort metric as the form-generating criteria. Based on the premise of previous studies that demonstrate glare as the most important factor for operating shading devices, GlareShade is introduced as a simulation-based shading methodology driven by occupant's visual comfort. GlareShade not only responds to changing outdoor conditions such as the movement of the sun and the variation of cloud cover, but it also accounts for building specific local conditions. GlareShade draws its strength and flexibility from an occupant-centric approach that is based on the visual field of view of each occupant as the occupant is performing common visual tasks in a given environment, and the developed shading system is linked to a distributed sensing network of multiple occupants. ShadeFan is demonstrated as a proof-of-concept dynamic shading system utilizing the GlareShade method.

Keywords

Control Strategies; Design Tool; Daylight; Patterns; Offices; Blinds; Model; Occupant-centric Shading System; Glare; Daylighting; Visual Comfort