The built environment and vehicle ownership modeling: Evidence from 32 diverse regions in the U.S.

2021 ◽  
Vol 93 ◽  
pp. 103073
Author(s):  
Sadegh Sabouri ◽  
Guang Tian ◽  
Reid Ewing ◽  
Keunhyun Park ◽  
William Greene
Keyword(s):  
Built Environment ◽  
Vehicle Ownership ◽  
The U.S

scholarly journals Relationship between train users’ perceptions of walkability with access and egress mode choice

2018 ◽  
Vol 147 ◽  
pp. 02004 ◽  
Author(s):  
Romeiza Syafriharti ◽  
B. Kombaitan ◽  
Iwan P. Kusumantoro ◽  
Ibnu Syabri
Keyword(s):  
Built Environment ◽  
Mode Choice ◽  
Control Variable ◽  
Walking Distance ◽  
Vehicle Ownership ◽  
Control Variables ◽  
Gender And Age ◽  
Access Mode ◽  
Motorcycle Taxi ◽  
The Relationship

The purpose of this study is to understand whether there is a relationship between train users’ perceptions of walkability in built environment of trip origin with access mode choice and between train users’ perceptions of walkability in built environment of trip destination with egress mode choice. Train users are who ride from Cicalengka station Bandung Regency, West Java, Indonesia. To analyze the relationship is used crosstab method. The perceptual factors about walkability are those perceived by the train users consisting of walking distance, safety, comfort, and secure from crime, both in origin and destination of the built environment. The mode choice consist of walking, paratransit, motorcycle taxi, and own vehicles (or others for egress mode). To better understand the relationship is used several control variables, that are trip purposes, train usage, gender, and age. For access trip there is another control variable, that is vehicle ownership. Train users' perceptions of walkability have a relationship with both the access and the egress mode choice, except for the security aspect. The influence of control variables on the relationship between perceptions of walkability with access/egress mode choice varies for walking distance, safety, and comfort.

Understand the Multi-Level Effects of the Built Environment on Trip-Chaining Behavior

2019 ◽  
Vol 2673 (4) ◽  
pp. 640-651
Author(s):  
Hao Pang ◽  
Ming Zhang
Keyword(s):  
Built Environment ◽  
Travel Behavior ◽  
Linear Models ◽  
Interactive Effect ◽  
Puget Sound ◽  
Residential Density ◽  
Vehicle Ownership ◽  
Trip Chain ◽  
Trip Chaining ◽  
Relationship Of

The debate on the effects of the built environment (BE) on travel behavior has been ongoing despite a large number of studies completed in the past three decades. This study aims to inform the debate by extending the BE–travel behavior investigation to the scope of trip-chaining. Specifically, the study conceptualized the contexture frame for the relationship of BE attributes and trip-chain travel behavior and estimated 2-level hierarchical linear models (HLM) of chained trip tours with travel survey data from the Puget Sound region. The results show that travelers who live in areas with better transit access, higher residential and non-residential density, and higher level of land use mixture generated low percentage of miles traveled by vehicle (PVMT) during their daily tours. Furthermore, considering the cross-level interactive effect, the study demonstrates that the impacts of the non-residential density at work location and the residential density at home location on PVMT are moderated by vehicle ownership.

scholarly journals Built environment and obesity by urbanicity in the U.S.

2015 ◽  
Vol 34 ◽  
pp. 19-29 ◽  
Author(s):  
Yanqing Xu ◽  
Fahui Wang
Keyword(s):  
Built Environment ◽  
The U.S

scholarly journals Chronic Disease, the Built Environment, and Unequal Health Risks in the 500 Largest U.S. Cities

2020 ◽  
Vol 17 (8) ◽  
pp. 2961
Author(s):  
Kevin M. Fitzpatrick ◽  
Don Willis
Keyword(s):  
United States ◽  
Chronic Disease ◽  
Built Environment ◽  
Weight Status ◽  
Housing Stock ◽  
Well Being ◽  
The United States ◽  
Census Tracts ◽  
Cardiometabolic Diseases ◽  
The U.S

Health is increasingly subject to the complex interplay between the built environment, population composition, and the structured inequity in access to health-related resources across communities. The primary objective of this paper was to examine cardiometabolic disease (diabetes, cardiovascular diseases, stroke) markers and their prevalence across relatively small geographic units in the 500 largest cities in the United States. Using data from the American Community Survey and the 500 Cities Project, the current study examined cardiometabolic diseases across 27,000+ census tracts in the 500 largest cities in the United States. Earlier works clearly show cardiometabolic diseases are not randomly distributed across the geography of the U.S., but rather concentrated primarily in Southern and Eastern regions of the U.S. Our results confirm that chronic disease is correlated with social and built environment factors. Specifically, racial concentration (%, Black), age concentration (% 65+), housing stock age, median home value, structural inequality (Gini index), and weight status (% overweight/obese) were consistent correlates (p < 0.01) of cardiometabolic diseases in the sample of census tracts. The paper examines policy-related features of the built and social environment and how they might play a role in shaping the health and well-being of America’s metropolises.

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