如何根据纬度和经度对距离进行升序排序

import math

def haversine(lat1, lon1, lat2, lon2):
    # 将经纬度转换为弧度制
    lat1_rad = math.radians(lat1)
    lon1_rad = math.radians(lon1)
    lat2_rad = math.radians(lat2)
    lon2_rad = math.radians(lon2)

    # 应用Haversine公式计算距离
    dlon = lon2_rad - lon1_rad
    dlat = lat2_rad - lat1_rad
    a = math.sin(dlat / 2) ** 2 + math.cos(lat1_rad) * math.cos(lat2_rad) * math.sin(dlon / 2) ** 2
    c = 2 * math.atan2(math.sqrt(a), math.sqrt(1 - a))
    distance = 6371 * c  # 地球平均半径为6371公里

    return distance

def sort_locations(locations):
    sorted_locations = sorted(locations, key=lambda loc: haversine(loc['latitude'], loc['longitude'], 0, 0))
    return sorted_locations

# 地点信息
locations = [
    {"name": "地点A", "latitude": 39.908722, "longitude": 116.397499},
    {"name": "地点B", "latitude": 31.224361, "longitude": 121.469170},
    {"name": "地点C", "latitude": 22.543099, "longitude": 114.057868}
]

# 根据距离进行排序
sorted_locations = sort_locations(locations)

# 打印排序结果
for loc in sorted_locations:
    print(loc["name"])