Nepal is rapidly urbanizing. Until 2014, only 20% of the total population lived in urban areas, but in 2015, over 65% of people were classified as urban dwellers with the promulgation of the constitution of the Federal Republic of Nepal (FRN). Many rural areas are annexed together to meet the population thresholds of some territories in order to classify them as municipals. As of 2017, many of the existing local level political units (which were over 3700) have been combined together reducing the local political units to 753 in total. Until 2014, there were only 105 urban units, but when local political units were decreased to 753 as per the FRN, the number of urban units jumped from 105 to 293 with 276 municipalities, 11 sub-metropolises, and 6 metropolises. However, many of these so classified urban areas are characterized by ruralopolises where people living in rural settings within the legally defined urban areas are competing for the limited facilities of the urban cores. Despite such competition for limited resources/facilities, many of the ruralopolises are aspiring to becoming “smart cities.” However, political leaders and urban planners responsible for the planning of these ruralopolises have been struggling to have real-time geospatial data, one of the essential components of “smart cities.” A “smart city” is an integrated system in which human and social capitals interact, using technology-based solutions. It efficiently achieves sustainable and resilient development and helps maintain a high urban life quality based on a multi-stakeholders’ partnership. The “smart city” initiatives need real-time data that uses auto-sensor state-of-the-art technology. The economic outcomes of a “smart city” initiative results in the simplification of daily working schedules such as bus routing, waste disposal, creation of businesses, jobs, and infrastructure. The brain of a “smart city” includes the virtual real-time data center-fed by an automated sensor network that regulates kiosks, parking meters, cameras, smart phones, medical devices, social networks, and bus routings.
Gathering of real-time big data with high accuracy becomes a huge challenge. However, it will be sustainable and cost-effective to engage various stakeholders to gather quality data and develop models to examine the utilities of such data. In this chapter, we discuss how Nepal can achieve the goal of sustainable urban planning while embarking many of the ruralopolises towards “smart cities.”