The period marks a GIS-enabled shift toward space-time accessibility as the central lens for transportation geography. Researchers formalize space-time accessibility within transport networks and develop computational procedures to estimate benefits of accessibility changes, establishing foundations for GIS-based forecasting, policy evaluation, and transport planning. The cross-period works reflect a focus on GIS-based analysis of urban form interactions—most notably jobs-housing balance and its link to commuting—using dynamic buffering and spline models to quantify impacts on vehicle miles traveled. Methodological attention also turns to induced travel demand, offering five empirical study types and examining forecast biases with policy-relevant implications for demand management. A bridging of space syntax with GIS data infrastructure enables disaggregate accessibility and travel-behavior analyses, reshaping forecasting and urban planning practice.