Optimization of Walk Score Based on Street Greening-A Case Study of Zhongshan Road in Qingdao

Quantitative Evaluation of Urban Style at Street Level: A Case Study of Hengyang County, China

Urban style is the comprehensive expression of the material environment, the associated cultural connotation and social life. Under the influence of globalization and rapid urban expansion, many cities around the world show a global convergence in style, which poses a challenge in terms of satisfying both function and local identity. However, the current insufficiency of research on the quantitative evaluation of urban style makes it hard to have a full grasp on how urban style can instruct land use and landscape planning strategies. In this paper, we propose Suitability, Aesthetics and Vitality as three core dimensions of urban style, and construct a quantitative evaluation framework for urban style evaluation at the street level. Taking a street in Hengyang County, China as an example, the method’s operability is demonstrated, and the results show that urban style performance is closely related to building construction periods, trends of urban expansion, and the natural environment. Improvement strategies include harmonizing urban spatial form, increasing the diversity of land use, and moderately improving the quality of building facades. This method can be applied at a greater scale to effectively reflect local characteristics and relevant problems. It can also provide an objective basis for future planning and construction.

Parking Allocation Index Analysis of Office Building Based on the TOD Measurement Method

Under the overall strategic guidance of emission peaks and carbon neutrality, an increasing number of cities are focusing on sustainable transportation development as an important measure for sustainable transportation development. Transit-oriented development (TOD) can guide residents to green trip options and reduce the dependence on private cars. Many cities have qualitatively reduced the parking allocation index of office buildings around rail stations, and quantitative research on the influence area and degree of TOD is lacking. This paper selects office buildings in the rail transit station influence area as the research object, puts forward the TOD measurement method of rail transit stations based on the improved “Node-Place” model, and clusters the stations under different measurement indices by the K-means algorithm. For different types of stations, the multinomial logit (MNL) model is used to build different types of trip mode split models to put forward the reduction calculation method of the parking allocation index of office buildings in the rail transit station influence area. Finally, this paper applies the revision of Nanjing’s allocation index in 2019, and the TOD measurement is identified through the “Node-Place-Connection” model. The optimized calculation method of the parking allocation index for office buildings is proposed. The results indicate that the method can reduce parking allocations to encourage the use of green transportation and guide the construction of urban sustainable transportation systems.

Towards Healthy Aging: Influence of the Built Environment on Elderly Pedestrian Safety at the Micro-Level

As vulnerable road users, elderly pedestrians are more likely to be injured in road crashes due to declining physical and perceptual capabilities. Most previous studies on the influence of the built environment on elderly pedestrian safety focused on intersections or areal units. Using a district of Shanghai as the study area, this research investigated the effects of the built environment at the road segment level with elderly pedestrian collision, taxi tracking point, point of interest, street view image, open street map, land use, housing price, and elderly population datasets. In particular, this research employed both Poisson and geographically weighted Poisson regression (GWPR) models to account for spatial nonstationarity. The Poisson model indicates that green space, sidewalks, and junctions on the roads significantly affected elderly pedestrian safety, and roads around nursing homes, schools, bus stops, metro stations, traditional markets, and supermarkets were hazardous for elderly pedestrians. The results of the GWPR model suggest that the influence of factors varied across the study area. Green space could decrease the risk of elderly pedestrian collisions only in areas without congested environments. Separations need to be installed between roadways and sidewalks to improve elderly road safety.