Speaker
Description
Identifying the spatial quality characteristics of urban streets is the key to realize scientific planning and effective management of urban streets. It provides the basis for the optimization of urban spatial layout and promotes the intelligent and sustainable development of cities. However, previous studies are mostly limited to some neighborhoods and lack a systematic analysis of street quality in large-scale urban areas. Therefore, this study integrates the spatial pattern data and streetscape image data of the main urban area of Xi'an, constructs a quantitative database of street spatial quality, and establishes a measurement system from the dual dimensions of objective physical space and subjective perception. The system covers eight indicators, including pavement feasibility, motorized traffic influence, road surveillance, sky visibility, green visibility, street interface transparency, street interface richness, and pedestrian accessibility, to achieve a large-scale assessment of the spatial quality of streets in the main urban area of Xi'an.
The results of the study show that: (1) the spatial quality of streets in the main urban area of Xi'an is characterized by a “high in the center - low in the periphery” circle distribution, and high-quality streets and low-quality streets have significant clustering characteristics. (2) There are complex interactions and spatial spillover effects among various elements of street spatial quality. For example, the improvement of road surveillance can enhance walking safety, promote walking trips, reduce the dependence on motorized vehicles, and thus alleviate traffic congestion and environmental pollution. (3) The street quality assessment results based on the two-dimensional measurement system are more consistent with the field research perception evaluation (Kappa=0.72) and significantly better than the single objective indicator model (Kappa=0.53), indicating that the integration of subjective and objective dimensions can improve the accuracy of identification. (4) Optimizing the spatial quality of streets requires a multidimensional synergistic strategy, including enriching the functions of street interfaces, strengthening the design of road surveillance and lighting, and improving greening and pedestrian facilities.
By quantitatively analyzing the differences in street spatial quality in Xi'an, the research results can provide scientific references for urban street planning, functional positioning and management, and provide a reference for the development of spatial quality improvement strategies in other cities.
| Keywords | Urban Street Spatial Quality;Streetscape Images;Subjective and Objective Measurement Methods |
|---|---|
| Best Congress Paper Award | Yes |
