Showing papers in "Computers, Environment and Urban Systems in 2018"

TL;DR: Findings indicate that social media activity in parks is positively correlated with proximity to public transportation and bike routes, as well as particular park characteristics such as water bodies, athletic facilities, and impervious surfaces, but negatively associated with green space and increased proportion of minority ethnicity and minority race in neighborhoods in which parks are located.

TL;DR: Transit authorities can develop transit planning and traffic demand management policies with improved accuracy by utilizing the enhanced precision and spatiotemporal modeling of GTWR to alleviate urban traffic problems.

TL;DR: The comparative analysis suggests that the relationship between mobility and SES could vary among cities, and such relationship is influenced by the spatial arrangement of housing, employment opportunities, and human activities.

TL;DR: The results show that increased greenery reduces temperatures in summer and increases them in winter, thus demonstrating that greening and land-use policies designed to mitigate the UHI must account for seasonal effects to achieve year-long effectiveness.

TL;DR: A model to simulate built-up expansion and densification based on a combination of a non-ordered multinomial logistic regression (MLR) and cellular automata (CA) shows that land-use policy, slope, and distance to roads are the most important determinants of the expansion process.

TL;DR: It is found that after controlling for other socioeconomic factors, wealth and race do not have significant associations with Uber accessibility, and higher road network density, population density, and less commuting time to work correlate with greater Uber accessibility.

TL;DR: This methodology has the potential to support collection truck route optimization based on expected building-level waste generation rates, and to facilitate new equitable solid waste management policies to shift behavior and divert waste from landfills based on benchmarking and peer performance comparisons.

TL;DR: A novel crowdsensing-based system for road surface assessment using smartphones that demonstrates that the condition of the road surface can be effectively identified and the transient events can be properly detected and located by mining the crowd sensed data.

TL;DR: An adaptive spatiotemporal k-nearest neighbor model (adaptive-STKNN) is proposed for short-term traffic forecasting that comprehensively considers the spatial heterogeneity of city traffic based on adaptive spatial neighbors, time windows, spatiotmporal weights and other parameters.

TL;DR: This paper employs street-level images as the proxy for urban physical appearance, utilizes the recently developed image semantic segmentation techniques to parse an urban scene into scene elements, and proposes a framework for locale representation using scene elements.

TL;DR: This study anticipates DRS matches across different travelers and identifies optimum fleet sizes required using AirSage's cellphone-based trip tables across 1267 zones over 30 days, suggesting significant opportunities for DRS-enabled SAVs.

TL;DR: It is concluded that users mainly used public bikes for commuting, and some of users went home during lunch break, while the system was also used or after-work shopping activities.

TL;DR: The empirical analysis validates the two hypotheses: (1) a spatial correlation exists between the three different urban vitality measures and (2) the spatial distribution of Wi-Fi access points could be an indicator of urban vitality.

TL;DR: This result indicates the effectiveness of the delineated characteristics to depict urban landscapes and socioeconomic information and the reliability of integrating these features for urban functional region classification.

TL;DR: This analysis of 690 papers across 20 social media platforms, focussing particularly on the method used for extraction of location information, discusses and compare extraction methods, and considers their accuracy and coverage.

TL;DR: This tool enables rapid and cost-effective flood mapping by performing a linear binary classification based on the recently proposed Geomorphic Flood Index (GFI) and provides a user-friendly strategy to map flood exposure over large areas.

TL;DR: An evaluation study performed to investigate the usability of PSS for some specific tasks confirmed the mismatch between what PSS provide and what planners expect, as well as indicated a poor usability ofPSS.

TL;DR: A simple yet practical framework for taxi ride-sharing and scheduling, to reduce waiting times and travel times during peak demand periods, and helps taxi users save money while helping taxi drivers serve multiple requests per day, thus increasing their earnings.

TL;DR: A decision-support framework for PT planners and managers is introduced, based on temporal networks methodology, that allows for computing pre-journey waiting times, journey durations, and number of required transfers for all Pareto-optimal journeys between any origin–destination pair, at all points in time.

TL;DR: A new term is proposed, multi-contextual segregation, to define segregation in various space-time contexts in daily life.

TL;DR: The findings of this study indicate that random forest and gradient boosting enable accurate physical activity classification in free-living conditions.

TL;DR: The results show that the spatial pattern of urban expansion becomes increasingly dispersed, demonstrating that PEI is capable of capturing information of urban Expansion evolution.

TL;DR: A model that uses large-scale WiFi probe request data to model urban mobility trajectories in dense urban environments and highlights non-trivial issues in data privacy raised by the growing availability of public WiFi networks is developed.

TL;DR: A method for estimating seasonally specific ambient population counts in Greece, based on public domain, global data, which shows a strong correlation amongst night-lights derived estimates and the reference dataset.

TL;DR: It is demonstrated that the optimum (distance metric specific) bandwidth corresponding to a given independent variable remains essentially constant, independent of the choices made for the other independent variables, allowing for a considerable saving in computational overheads.

TL;DR: This paper analyzes the spatio-temporal patterns of geo-located tweets that were posted in response to the November 2015 Paris terrorist attacks and assesses how content category, tweet format, and profession of the user influence tweet popularity, measured by the number of retweets.

TL;DR: This study shows that the three metaheuristics can achieve similar outcomes in the optimization of CA transition rules and land use simulation, albeit with different sensitivities to their intrinsic control parameters.

TL;DR: This paper presents a meta-modelling system that automates the very labor-intensive and therefore time-heavy and expensive and therefore expensive and expensive process of manually cataloging and cataloging the land and its resources.

TL;DR: The authors would like to express their gratitude to the Sao Paulo Research Foundation (2012/00594-5) (FAPESP), the Coordination for the Improvement of Higher Education Personnel (8802/13-0) and the National Council of Technological and Scientific Development (CNPq) for their financial support.

TL;DR: The findings show that the CAMA + MCSA method can successfully identify the response of commuters to variations in environmental conditions and discuss the findings on how travel modes and time spent at different places are affected by meteorological conditions.