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Understanding why travel behavior differs between residents of urban centers and suburbs is key to sustainable urban planning. Especially in light of rapid urban growth, identifying housing locations that minimize travel demand and induced…

Machine Learning · Computer Science 2023-12-12 Florian Nachtigall , Felix Wagner , Peter Berrill , Felix Creutzig

Understanding the variability of people's travel patterns is key to transport planning and policy-making. However, to what extent daily transit use displays geographic and temporal variabilities, and what are the contributing factors have…

Computers and Society · Computer Science 2024-03-12 Sui Tao , Francisco Rowe , Hongyu Shan

Issues such as urban sprawl, congestion, oil dependence, climate change and public health, are prompting urban and transportation planners to turn to land use and urban design to rein in automobile use. One of the implicit beliefs in this…

General Economics · Economics 2019-12-02 Ali Ardeshiri , Akshay Vij

Climate change mitigation in urban mobility requires policies reconfiguring urban form to increase accessibility and facilitate low-carbon modes of transport. However, current policy research has insufficiently assessed urban form effects…

Bike-sharing has received considerable practice and research attention over the past decade. As a manpower-driven transportation mode, it seems more sensitive to trip length, since one could take a shared bike to a destinated place where is…

Physics and Society · Physics 2022-10-26 Feiyang Wang , Chaoying Yin , Ximing Chang , Der-Horng Lee , Zhengbing He

In this paper, we propose a machine learning-based approach to address the lack of ability for designers to optimize urban land use planning from the perspective of vehicle travel demand. Research shows that our computational model can help…

Machine Learning · Computer Science 2023-11-14 Zixun Huang , Hao Zheng

The growing significance of ridesourcing services in recent years suggests a need to examine the key determinants of ridesourcing demand. However, little is known regarding the nonlinear effects and spatial heterogeneity of ridesourcing…

Machine Learning · Computer Science 2024-01-03 Xiaojian Zhang , Xiang Yan , Zhengze Zhou , Yiming Xu , Xilei Zhao

Understanding the effects of built environment on physical activity is important for promoting healthy lifestyles in cities. Yet, very few studies have used objective continuous location data and measures of physical activity while…

Physics and Society · Physics 2022-01-19 Isaac Debache , Cédric Sueur , Julie Vallée , Audrey Bergouignan , Basile Chaix

Understanding human behavior in built environments is critical for designing functional, user centered urban spaces. Traditional approaches, such as manual observations, surveys, and simplified simulations, often fail to capture the…

Artificial Intelligence · Computer Science 2024-12-30 Ariel Noyman , Kai Hu , Kent Larson

Understanding how built environments shape human experience is central to designing sustainable cities. Cycling provides a critical case: it delivers health and environmental benefits, yet its uptake depends strongly on the experience of…

Computers and Society · Computer Science 2025-09-22 Haining Ding , Chenxi Wang , Michal Gath-Morad

Transportation planning plays a critical role in shaping urban development, economic mobility, and infrastructure sustainability. However, traditional planning methods often struggle to accurately predict long-term urban growth and…

Computer Vision and Pattern Recognition · Computer Science 2025-03-28 Eugene Denteh , Andrews Danyo , Joshua Kofi Asamoah , Blessing Agyei Kyem , Twitchell Addai , Armstrong Aboah

The impact of built environment on the human restorativeness has long been argued; however, the interrelations between neuroscience and the built environment, and the degree to which the built environment contributes to increased human…

Computers and Society · Computer Science 2019-02-15 Zhengbo Zou , Semiha Ergan

We develop new methodology to improve our understanding of the causal effects of multivariate air pollution exposures on public health. Typically, exposure to air pollution for an individual is measured at their home geographic region,…

Methodology · Statistics 2025-11-18 Heejun Shin , Danielle Braun , Kezia Irene , Michelle Audirac , Joseph Antonelli

This paper introduces an agent-based simulation model aimed at understanding urban commuters mode choices and evaluating the impacts of transport policies to promote sustainable mobility. Crafted for developing countries, where utilitarian…

Multiagent Systems · Computer Science 2024-08-01 Kathleen Salazar-Serna , Lorena Cadavid , Carlos J. Franco

In this study, we explored whether and how area-wide air pollution affected individuals' activity participation and travel behaviors, and how these effects differed by neighborhood context. Using multi-day travel survey data provided by 403…

Applications · Statistics 2024-08-08 Fariba Soltani Mandolakani , Mahyar Vahedi Saheli , Patrick A. Singleton

In recent decades, many studies investigated the influencing factors on walking. Although there are lots of finding about these factors, only a few of them conducted to differentiate between short and long walking trips and their associated…

Physics and Society · Physics 2020-03-10 Aryan Hosseinzadeh

Studies show that psychological effects are among one of the top concerns for public transportation users. While many Americans spend a significant portion of their time in public transportation spaces, the impact of the design and…

Human-Computer Interaction · Computer Science 2024-08-06 Yasaman Hakiminejad , Elizabeth Pantesco , Arash Tavakoli

The lack of longitudinal studies of the relationship between the built environment and travel behavior has been widely discussed in the literature. This paper discusses how standard propensity score matching estimators can be extended to…

Econometrics · Economics 2019-11-06 Haotian Zhong , Wei Li , Marlon G. Boarnet

Data-driven research is becoming a new paradigm in transportation, but the natural lack of individual socio-economic attributes in transportation data makes research such as activity purpose inference and mobility pattern identification…

Applications · Statistics 2025-02-04 Yitong Chen , Wentao Dong , Chengcheng Yu , Quan Yuan , Chao Yang

Nowadays, mobile robots are deployed in many indoor environments, such as offices or hospitals. These environments are subject to changes in the traversability that often happen by following repeating patterns. In this paper, we investigate…

Robotics · Computer Science 2019-09-30 Lorenzo Nardi , Cyrill Stachniss
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