Spatial choices entailing many alternatives (e.g., residence, trip destination) are typically represented by compensatory models based on utility maximization with exogenous choice set generation, which might lead to incorrect choice sets and hence to biased demand elasticity estimates....

Recent 'studentification' processes raise issues regarding the positive and negative impacts of student influx on the urban environment. The positive impacts discussed in the literature include urban core revitalization, employment generation and economic growth. The negative externalities...

Knowledge-workers belonging to the super-creative core of the creative-class are considered a mean to induce economic growth and to sharpen the regional competitive edge. Driven by the key-role of housing in attracting and retaining knowledge-workers, most studies focus on the residential choice...

Attracting firms in knowledge and technology intensive (KTI) sectors is highly desired at both the national and the regional level as a powerful engine of economic growth. Due to fierce competition in KTI sectors and national taxation policies, KTI firms often attract high-quality employees by...

This study investigates the effect of price and travel mode fairness and spatial equity in transit provision on the perceived transit service quality, willingness to pay, and habitual frequency of use. Based on the theory of planned behavior, we developed a web-based questionnaire for revealed...

In decisions involving many alternatives, such as residential choice, individuals conduct a two-stage decision process, consisting of eliminating non-viable alternatives and choice from the retained choice set. In light of the potential of semi-compensatory discrete choice models to...

Recent ‘studentification’ processes raise issues regarding the positive and negative impacts of student influx on the urban environment. The positive impacts discussed in the literature include urban core revitalization, employment generation and economic growth. The negative...