Felix Haifeng Liao

Compact development and preference heterogeneity in residential location choice behaviour: A latent class analysis

The success of compact development depends in part on accurately gauging its public demand and understanding residents’ preferences towards it. Drawing upon a stated-preference survey in the Wasatch Front region in Utah, this paper estimates preferences for compact, walkable and transit-friendly neighbourhoods through the application of a discrete choice experiment. Results derived from a latent class analysis reveal significant heterogeneity in residential location preferences. Overall, strong preferences for compact development are more likely to occur among families with fewer school-age children, low-income and renter-occupied households, and those who appreciate social heterogeneity and have less desire for privacy. These tastes are also associated with personal preferences for walking and biking and supportive opinions toward environmental protection and urban growth boundary policies. By comparing respondents’ preferences to their actual residential and travel choices in two contrasting subregions, we further address the complex relationships between environment, preferences, residential locations and travel.

Modeling determinants of urban growth in Dongguan, China: a spatial logistic approach

This paper examines spatial variations of urban growth patterns in Chinese cities through a case study of Dongguan, a rapidly industrializing city characterized by a bottom-up pattern of development based on townships. We have employed both non-spatial and spatial logistic regression models to analyze urban land conversion. The non-spatial logistic regression has found the significance of accessibility, neighborhood conditions and socioeconomic factors for urban development. The logistic regression with spatially expanded coefficients significantly improves the orthodoxy logistic regression with lower levels of spatial autocorrelation of residuals and better goodness-of-fit. More importantly, the spatial logistic model reveals the spatially varying relationship between urban growth and its underlying factors, particularly the local influence of environment protection and urban development policies. The results of the spatial logistic model also provide clear clues for assessing environmental risks to take the local contexts into account.

Land conservation can mitigate freshwater ecosystem services degradation due to climate change in a semiarid catchment: The case of the Portneuf River catchment, Idaho, USA

There is increasing evidence of environmental change impacts on freshwater ecosystem services especially through land use and climate change. However, little is known about how land conservation could help mitigate adverse water-sustainability impacts. In this paper, we utilized the InVEST tool and the Residual Trends method to assess the joint effects and relative contributions of climate change and land conservation on freshwater ecosystem services in the Portneuf River catchment in Idaho, USA. We developed five hypothesized scenarios regarding gain and loss in the enrollment of Conservation Reserve Program (CRP), the largest agricultural land-retirement program in the U.S., plus riparian buffer and assessed their interactions with climate change. Results suggest that the realized water yield in the Portneuf River catchment would possibly be 56% less due to climate change and 24% less due to the decline of CRP enrollment. On the contrary, if CRP enrollment is promoted by ~30% and riparian buffer protection is implemented, the water supply reduction in the year 2050 could be changed from 56% to 26%, the total phosphorus (TP) and total nitrogen (TN) export would be reduced by 10% and 11%, and the total suspended sediment (TSS) reduced by 17%. This study suggests that increasing implementation of the CRP would likely preserve key freshwater ecosystem services and assist proactive mitigation, especially for semiarid regions vulnerable to changing climate conditions.