Yiyi Wang

TL;DR: Results suggest greater mixing of residences and commercial land uses is associated with higher pedestrian crash risk across different severity levels, ceteris paribus, presumably since such access produces more potential conflicts between pedestrian and vehicle movements and Interestingly, network densities show variable effects, and sidewalk provision isassociated with lower severe-crash rates.

TL;DR: In this paper, a trivariate Poisson-lognormal conditional autoregressive (CAR) model was used to predict 745,000 personal-vehicle registrations across a sample of 1000 census block groups in the Philadelphia region.

TL;DR: In this article, the authors combined logit specifications with geographic weighted regression (GWR) techniques to anticipate five categories of land use change in Austin, Texas, and controlled for parcel geometry, slope, regional accessibility, local population density, and distances to Austin's downtown and various roadway types.

TL;DR: In this article, the relationship between the varying levels of traffic stress (LTS) routes and bicycle travel behavior was investigated in Salem-Keizer metropolitan area, a case study representative of the kinds of small and medium-sized communities that may prefer to use the LTS to evaluate cycling infrastructure given its lower input costs.

TL;DR: This paper summarizes the literature on spatial filtering (SF) for analysis of spatial data and confirms the important role of transportation access (as quantified using distances to a region’s central business district, and various roadway types).