Historical and cultural blocks in Chinese historic districts are important components of sustainable heritage tourism. In towns along the Grand Canal, historical and cultural blocks are generally integrated with modern commerce, forming a complex space characterized by multi-elements, multi-cultures, and multi-functions. The understanding of tourists’ spatial cognition thus becomes extremely important to support heritage conservation and encourage sustainable heritage tourism. This study proposes a space syntax-based methodology to help inform heritage consultants and urban designers in understanding the tourists’ spatial cognition of canal town cultural blocks, and thereby assists designers and managers in identifying where cognitive experiences can be improved. The proposed method is applied to Nanyang, which is a canal town currently in decline in Shandong Province, and is contrasted with the ancient town of Wuzhen in Zhejiang Province, China, a highly successful tourist town. By using this proposed method, the relationship between street networks and tourists’ spatial cognition has been explored. The results of the analysis were evaluated in order to inform a range of design concepts that could enhance the sustainable heritage tourism experience of these two towns.

Many studies have been conducted to measure the experiential qualities of historical streets using the standards and principles released by many global organizations. However, little attention has been paid to the effect of spatial characteristics of historical heritage. This study proposes a space syntax-based methodology, first developed by Bill Hillier and Julienne Hanson with colleagues from the Bartlett School of Architecture, while introducing factors such as complexity, coherence, ‘mystery’, and legibility from the work of environmental psychologist Stephen Kaplan and the urban designer Gordon Cullen. Our intention is to help inform urban designers in understanding people’s spatial cognition of historical streets, and thereby assist designers and managers in identifying where cognitive experiences can be improved. The proposed method is applied to Nanxun, which is a developed canal town currently in decline in Zhejiang Province, China. This will be treated as the case study in order to explore the implication of the space syntax analysis. The impact from spatial characteristics on the evaluation is indirect and largely determined by the road-network of the canal town. As for Nanxun, the findings of this research suggest that the government’s priority is to solve current negative tourist perception based on a conservation restoration plan. The findings of this research provide a reference for policymakers to better understand the experiential qualities of historical streets in townscapes.

The land-use mix index is a way to quantify the mixture of land-use patterns. Due to practical limitations, few studies have highlighted the validity of land-use mix indices. This paper aims to explore the potential characteristics of land-use mix indices using a three-step screening method. The data precision of indices was concluded after the first-step screening. A total of 10 virtual blocks and 217 blocks in Melbourne city center served as a case study and reflected the various land-use structures. The randomized controlled comparative trial was incorporated into the second- and third-screening to indicate the applicable condition and validity. The results illustrate that the value Herfindahl–Hirschman index related to the diversity of land-use types. The results also confirmed that Dissimilarity index-I was significantly associated with the balance status of the land-use mix. Entropy index reflects the evenness but did not correlate to the diversity or balance of the land-use mix. In addition, the study also provides a set of general recommendations for the application conditions of land-use mix indices.

By the end of the 20th century, the influence of economic globalization had impacted many aspects of society, including in particular cultural heritage. Additionally, economic globalization has brought a ‘compression’ of the cultures of different ethnic groups and regions around the world. Due to the loss of cultural confidence and economic benefits, many historical areas with cultural and social significance are no longer protected and valued. If this deficit is to be addressed, then the evaluation of heritage value is an important step in establishing effective conservation policies. China’s Grand Canal is a case in point. The loss of historical culture in the past 30 years, often due to the increasing numbers of both large and small developments, has given rise to the forfeit and distortion of many historically significant areas of China’s Grand Canal towns and cities. This research proposes a qualitative and quantitative methodology to develop a comprehensive assessment model of social value with respect to heritage value. The methodology selected conceptual framework, and questionnaire surveys as major approaches to the development of the research and is applied to the Grand Canal towns of Nanyang, Wuzhen, Tongli and Nanxun. The conceptual framework is used to establish the indicators and hypotheses for the evaluation of social value in order to develop a comprehensive assessment model for sustainable heritage management.

Previous studies have mostly examined how sustainable cities try to promote non-motorized travel by creating a walking-friendly environment. Such existing studies provide little data that identifies how the built environment affects pedestrian volume in high-density areas. This paper presents a methodology that combines person correlation analysis, stepwise regression, and principal component analysis for exploring the internal correlation and potential impact of built environment variables. To study this relationship, cross-sectional data in the Melbourne central business district were selected. Pearson’s correlation coefficient confirmed that visible green ratio and intersection density were not correlated to pedestrian volume. The results from stepwise regression showed that land-use mix degree, public transit stop density, and employment density could be associated with pedestrian volume. Moreover, two principal components were extracted by factor analysis. The result of the first component yielded an internal correlation where land-use and amenities components were positively associated with the pedestrian volume. Component 2 presents parking facilities density, which negatively relates to the pedestrian volume. Based on the results, existing street problems and policy recommendations were put forward to suggest diversifying community service within walking distance, improving the service level of the public transit system, and restricting on-street parking in Melbourne.

Previous studies have mostly examined how sustainable cities try to promote non-motorized travel by creating a walking-friendly environment. Such existing studies provide little research that identifies how the built environment affects pedestrian volume in high-density areas. This paper presents a methodology that combines person correlation analysis, stepwise regression, and principal component analysis for exploring the internal correlation and potential impact of built environment variables. To study this relationship, cross-sectional data in the Melbourne central business district were selected. Pearson’s correlation coefficient confirmed that visible green index and intersection density were not correlated to pedestrian volume. The results from stepwise regression showed that land-use mix degree, public transit stop density, and employment density could be associated with pedestrian volume. Moreover, two principal components were extracted by factor analysis. The result of the first component yielded an internal correlation where land-use and amenities components were positively associated with the pedestrian volume. Component 2 presents parking facilities density, which negatively relates to the pedestrian volume. Based on the results, existing street problems and policy recommendations were put forward to suggest diversifying community service within walking distance, improving the service level of the public transit system, and restricting on-street parking in Melbourne.